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EPA Document No.
EPA-815R24012

Technologies and Costs for Removing Per- and
Polyfluoroalkyl Substances (PFAS) from Drinking Water


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Technologies and Costs for Removing Per- and Polyfluoroalkyl Substances

(PFAS) from Drinking Water

Prepared by:

U.S. Environmental Protection Agency
Office of Water
Office of Groundwater and Drinking Water
Standards and Risk Management Division
Washington, DC 20460

EPA Document Number: 815R24012

March 2024


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water

March 2024

Disclaimer

Mention of trade names or commercial products does not constitute endorsement or
recommendation for use.


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water

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Contents

1.0 Introduction	2

1.1	Background	2

1.2	Organization and Overview	5

1.3	Information Sources	6

1.4	References	6

2.0 Granular Activated Carbon (GAC)	8

2.1	Operating Principle	8

2.2	Effectiveness for PFAS Removal	11

2.2.1	Removal Efficiency	11

2.2.2	Bed Life	14

2.2.3	Full-Scale Applications	15

2.3	Raw Water Quality Considerations	17

2.4	Pre- and Post-Treatment Needs	18

2.5	Waste Generation and Residuals Management Needs	18

2.6	Critical Design Parameters	19

2.6.1	Empty Bed Contact Time	19

2.6.2	Contactor Configuration	20

2.6.3	Bed Life	20

2.7	References	24

3.0 Ion Exchange (IX)	32

3.1	Operating Principle	32

3.2	Effectiveness for PFAS Removal	33

3.2.1	Removal Efficiency	33

3.2.2	Bed Life	35

3.2.3	Full-Scale Applications	37

3.3	Raw Water Quality Considerations	37

3.4	Pre- and Post-Treatment Needs	38

3.5	Waste Generation and Residuals Management Needs	38

3.6	Critical Design Parameters	39

3.6.1	Empty Bed Contact Time	39

3.6.2	Vessel Configuration	40

3.6.3	Bed Life	40

3.7	References	43

4.0 Reverse Osmosis and Nanofiltration (RO/NF)	47

4.1 Operating Principle	47


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4.2	Effectiveness for PFAS Removal	49

4.2.1	Removal Efficiency	49

4.2.2	Full-Scale Applications	52

4.3	Raw Water Quality Considerations	52

4.4	Pre- and Post-Treatment Needs	52

4.5	Waste Generation and Residuals Management Needs	53

4.6	Critical Design Parameters	54

4.6.1	Membrane Type	54

4.6.2	Flux Rate	54

4.6.3	Recovery Rate	55

4.7	References	56

5.0 Point-of-Use/Point-of-Entry Treatment	58

5.1	Operating Principle	58

5.2	Effectiveness for PFAS Removal	59

5.3	Raw Water Quality Considerations	59

5.4	Pre- and Post-Treatment Needs	60

5.5	Waste Generation and Residuals Management Needs	60

5.6	Critical Design Parameters	60

5.7	References	60

6.0 Nontreatment Alternatives	62

6.1	Application Principle	62

6.2	Compliance Effectiveness	62

6.3	Raw Water Quality Considerations	63

6.4	Pre- and Post-Treatment Needs	63

6.5	Waste Generation and Residuals Management Needs	63

6.6	Critical Design Assumptions	63

6.7	References	64

7.0 Costs for Treatment and Nontreatment Options	65

7.1	Introduction	65

7.1.1	Overview and Cost Modeling Approach	65

7.1.2	Work Breakdown Structure (WBS) Models	65

7.1.3	WB S Model Accuracy	67

7.2	Costs for GAC	69

7.2.1	Model Components and Assumptions	69

7.2.2	Cost Estimates	72

7.3	Costs for IX	73

7.3.1 Model Components and Assumptions	73


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7.3.2 Cost Estimates	75

7.4	Costs for RO/NF 	76

7.4.1	Model Components and Assumptions	76

7.4.2	Cost Estimates	78

7.5	Costs for POU Treatment	80

7.5.1	Model Components and Assumptions	80

7.5.2	Cost Estimates	83

7.6	Costs for Nontreatment Options	84

7.6.1	Model Components	84

7.6.2	Assumptions for New Wells	85

7.6.3	Assumptions for Interconnection	86

7.6.4	Cost Estimates	87

7.7	References	89

Appendix A. Cost Equations	91

A. 1 Capital and Annual O&M Cost Equation Parameters for GAC	92

A.2 Capital and Annual O&M Cost Equation Parameters for IX	129

A.3 Capital and Annual O&M Cost Equation Parameters for RO/NF	150

A.4 Capital and Annual O&M Cost Equation Parameters for POU RO	151

A.5	Capital and Annual O&M Cost Equation Parameters for Nontreatment Options.... 152
Appendix B. Example WBS Model Outputs	154

B.	1	Example Outputs for GAC	155

B.2	Example Outputs for IX	163

B.3	Example Outputs for RO/NF	171

B.4	Example Outputs for POU RO	184

B.5	Example Outputs for Nontreatment Options	186

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Figures

Figure 1-1. Chemical Structure of PFOA and PFOS	4

Figure 2-1. Conceptual Diagram of the GAC Treatment Process	9

Figure 2-2. Typical Schematic Layout for Pressure GAC Treatment Facility	10

Figure 2-3. Typical Schematic Layout for Gravity GAC Treatment Facility	11

Figure 2-4. Typical GAC Breakthrough Curve	14

Figure 2-5. Linear Bed Life Estimate in Relation to a Typical Breakthrough Curve	22

Figure 3-1. Conceptual Diagram of the IX Treatment Process	32

Figure 3-2. Typical Schematic Layout for IX with Resin Disposal	33

Figure 3-3. Typical IX Breakthrough Curve	36

Figure 3-4. Linear Bed Life Estimate in Relation to a Typical Breakthrough Curve	41

Figure 4-1. Conceptual Diagram of the RO Treatment Process	47

Figure 4-2. Typical Schematic Layout for RO/NF	49

Figure 7-1. Mid Cost Results for Removal of PFAS from Groundwater Using Pressure

GAC (2020 dollars)	72

Figure 7-2. Mid Cost Results for Removal of PFAS from Surface Water Using Gravity

GAC (2020 dollars)	73

Figure 7-3. Mid Cost Results for Removal of PFAS from Groundwater Using IX (2020

dollars)	76

Figure 7-4. Mid Cost Results for Removal of PFAS from Groundwater Using Reverse

Osmosis (2020 dollars)	80

Figure 7-5. Cost Results for POU RO Removal of PFAS from Groundwater (2020 dollars)	84

Figure 7-6. Mid Cost Results for PFAS Compliance Using New Wells at Groundwater

Systems (2020 dollars)	88

Figure 7-7. Mid Cost Results for PFAS Compliance Using Interconnection at Groundwater

Systems (2020 dollars)	89

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Tables

Table 1-1. PFAS with Treatability Data	3

Table 1-2. PFAS Classified by Functional Group and Chain Length	4

Table 2-1. Studies of GAC Treatment for Carboxylate PFAS	12

Table 2-2. Studies of GAC Treatment for Sulfonate PFAS	13

Table 2-3. Studies of GAC Treatment for Other PFAS	13

Table 2-4. Full-scale GAC Systems Removing PFAS from Drinking Water	15

Table 2-5. Studies Used to Develop GAC Bed Life Estimates	21

Table 2-6. Estimated Parameter Values for GAC Bed Life Equations	23

Table 3-1. Studies of IX Treatment for Carboxylate PFAS	34

Table 3-2. Studies of IX Treatment for Sulfonate PFAS	35

Table 3-3. Studies of IX Treatment for Other PFAS	35

Table 3-4. Full-scale IX Systems Removing PFAS from Drinking Water	37

Table 3-5. Estimated Parameter Values for IX Bed Life Equations	42

Table 4-1. Minimum Effective Ranges for RO/NF Membranes	48

Table 4-2. Studies of RO/NF Treatment for Carboxylate PFAS	50

Table 4-3. Studies of RO/NF Treatment for Sulfonate PFAS	50

Table 4-4. Studies of RO/NF Treatment for Other PFAS	51

Table 4-5. Flux Rates for PFAS Treatment Reported in the Literature	55

Table 4-6. Recovery Rates for PFAS Treatment Reported in the Literature	55

Table 5-1. Community-Scale Applications of POU/POE Treatment to Remove PFAS from

Drinking Water	59

Table 7-1. Cost Elements Included in All WBS Models	67

Table 7-2. Technology-Specific Cost Elements Included in the GAC Model	70

Table 7-3. Technology-Specific Cost Elements Included in the PFAS-selective IX Model	74

Table 7-4. Technology-Specific Cost Elements Included in the RO/NF Model	77

Table 7-5. POU Model Assumptions for PFAS Removal	81

Table 7-6. Technology-Specific Cost Elements Included in the Non-treatment Model	85

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Acronyms and Abbreviations

ANSI

American National Standards Institute

BV

bed volumes

DOC

dissolved organic carbon

EBCT

empty bed contact time

EPA

U.S. Environmental Protection Agency

GAC

granular activated carbon

gfd

gallons per day per square foot

g/mol

grams per mole

gpm

gallons per minute

IX

ion exchange

LSI

Langelier saturation index

MCL

maximum contaminant level

MGD

million gallons per day

mg/L

milligrams per liter

MWCO

molecular weight cut off

NF

nanofiltration

ng/L

nanograms per liter

NPDES

National Pollutant Discharge Elimination System

NSF

NSF International, The Public Health and Safety Company

O&M

operating and maintenance

PFAS

per- and polyfluoroalkyl substances

POE

point-of-entry

POU

point-of-use

RCRA

Resource Conservation and Recovery Act

RO

reverse osmosis

RSSCT

rapid small-scale column test

SDI

silt density index

SDWA

Safe Drinking Water Act

TDP

Technology Design Panel

TOC

total organic carbon

WBS

Work Breakdown Structure

WWTP

wastewater treatment plant

See also Table 1-1 for abbreviations for individual PFAS compounds.

1 Formerly National Sanitation Foundation

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1.0	Introduction

1.1	Background

Per- and polyfluoroalkyl substances (PFAS) are a broad class of approximately 10,000 synthetic
chemicals (Rogers et al., 2021; Weaver, 2020; USEPA, 2021d). Because of their water-resistant,
stain-resistant, and non-stick properties, they are incorporated in or used as coatings for a variety
of products. Household and industrial PFAS applications include use in carpeting, clothing,
cookware, cosmetics, electronics, fire-fighting foam, glass, and packaging. The manufacture of
PFAS and PFAS-containing products, along with the use and disposal of these products, have
resulted in releases to air, soil, and water (ATSDR, 2021; Rogers et al., 2021; Weaver, 2020).
The same properties that make PFAS useful in industry and commerce also make them stable
and persistent in the environment (ATSDR, 2021).

The U.S. Environmental Protection Agency (EPA) is proposing a regulation for certain PFAS
under the Safe Drinking Water Act (SDWA). To assist in evaluating and developing the national
costs associated with the proposed regulation, this document describes treatment technologies
that are known to effectively remove PFAS from drinking water. It also presents estimated costs
associated with the engineering, installation, and operation and maintenance of these
technologies. EPA is proposing MCLGs for perfluorooctanesulfonic acid (PFOS) and
perfluorooctanoic acid (PFOA) at zero and the enforceable Maximum Contaminant Level (MCL)
at 4.0 nanograms per liter (ng/L) or parts per trillion (ppt) for each of these contaminants. EPA is
also proposing regulation of hexafluoropropylene oxide dimer acid (HFPO-DA), perfluorobutane
sulfonic acid (PFBS), perfluorononanoic acid (PFNA), and perfluorohexane sulfonic acid
(PFHxS) through a Hazard Index (HI) approach. EPA is proposing to set the MCLG as a HI of
1.0 (unitless) and the enforceable MCL equal to the MCLG. Table 1-1 lists PFAS for which
treatability data are available in the literature included in EPA's Drinking Water Treatability
Database (USEPA, 2021a; 2021b; 2021c).

The two most frequently studied PFAS are PFOA, which refers to perfluorooctanoic acid or
perfluorooctane carboxylate, and PFOS, which refers to perfluorooctane sulfonic acid or
perfluorooctane sulfonate.2 Figure 1-1 shows the chemical structure of these two PFAS. Both
molecules incorporate a chain of fully fluorinated (perfluorinated) carbon atoms but differ in the
functional group attached at the end of the chain. In PFOA, the terminal functional group is
carboxylic acid (CO2H) or carboxylate (CO2") in the anion form. In PFOS, the terminal
functional group is sulfonic acid (SO3H) or sulfonate (SO3") in the anion form.

Both PFOA and PFOS include a total of eight carbon atoms in their molecular chain. There are
other perfluorinated PFAS that incorporate the same terminal functional groups but have a
different number of carbon atoms in the chain. For example, PFHxA refers to a perfluorinated
six-carbon compound with a carboxylic acid or carboxylate functional group. PFHxS refers to a
perfluorinated six-carbon compound with a sulfonic acid or sulfonate functional group. In
general, degree of fluorination, functional group, and chain length provide a means of classifying
PFAS compounds, as shown in Table 1-2. Buck et al. (2011) and ITRC (2020) provide a more

2 Although different sources within the literature may use the names for the acid and anion forms of PFOA, PFOS, and other
perfluorinated PFAS interchangeably, they most frequently occur in the environment in their anion form (ITRC, 2020).

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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detailed and nuanced categorization of PFAS, but for purposes of discussing treatment
technologies and costs this simplified categorization is useful.

Table 1-1. PFAS with Treatability Data

Abbreviation

Full Name

Chemical Abstract Service (CAS)
Number

ADONA

Ammonium 4,8-dioxa-3H-perfluorononanoate

958445-44-8 or 919005-14-4 (as acid)

F-53B
FtS 4:2

A combination of 9-chlorohexadecafluoro-3-
oxanone-1-sulfonic acid and 11-chloroeicosafluoro-
3-oxaundecane-1-sulfonic acid
Fluorotelomer sulfonate 4:2

756426-58-1 and 763051-92-9
(respectively)

414911-30-1

FtS 6:2

Fluorotelomer sulfonate 6:2

27619-97-2

FtS 8:2

Fluorotelomer sulfonate 8:2

39108-34-4

HFPO-DA*
Nafion BP2
N-EtFOSAA

Ammonium perfluoro-2-methyl-3 -oxahexanoate,
Perfluoro -2-methy 1-3 -oxahexanoic acid
Perfluoro-2-{[perfluoro-3-(perfluoroethoxy)-2-
propanyl]oxy}ethanesulfonic acid
2-(N-Ethyl-perfluorooctanesulfonamido)acetate

62037-80-3 (as ammonium salt), 13252-

13-6 (as acid)

749836-20-2

2991-50-6

N-MeFOSAA

2-(N-Methylperfluorooctanesulfonamido)acetate

909405-48-7 or 2355-31-9 (as acid)

PFBA

Perfluorobutanoic acid

375-22-4

PFBS

Perfluorobutyl sulfonic acid

375-73-5

PFBSA

Perfluorobutylsulfonamide

30334-69-1

PFDA

Perfluorodecanoic acid

335-76-2

PFDoA

Perfluorododecanoic acid

307-55-1

PFDS

Perfluorodecyl sulfonic acid

335-77-3

PFECHS

Perfluoro-4-(perfluoroethyl)cyclohexylsulfonate

80988-54-1

PFHpA

Perfluoroheptanoic acid

375-85-9

PFHpS

Perfluoroheptyl sulfonic acid

375-92-8

PFHxA

Perfluorohexanoic acid

307-24-4

PFHxS

Perfluorohexyl sulfonic acid

355-46-4

PFHxSA

Perfluorohexanesulfonamide

41997-13-1

PFMOAA
PFMOBA

Difluoro(perfluoromethoxy)acetic acid, also known
as perfluoro-2-methoxyacetic acid
Perfluoro-4-methoxybutanoic acid

674-13-5
863090-89-5

PFMOPrA

Perfluoro-3-methoxypropanoic acid

377-73-1

PFNA

Perfluorononanoic acid

375-95-1

PFNS

Perfluorononane sulfonic acid

68259-12-1

PF02HxA

Perfluoro-3,5-dioxahexanoic acid

39492-88-1

PF030A

Perfluoro-3,5,7-trioxaoctanoic acid

39492-89-2

PF04DA

Perfluoro -3,5,7,9-butaoxadecanoic acid

39492-90-5

PFOA

Perfluorooctanoic acid

335-67-1

PFOS

Perfluorooctane sulfonic acid

1763-23-1

PFOSA

Perfluorooctanesulfonamide

754-91-6

PFPeA

Perfluoropentanoic acid

2706-90-3

PFPrS

Perfluoropropane sulfonate

110676-15-8

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Abbreviation

Full Name

Chemical Abstract Service (CAS)
Number

PFTriA

Perfluorotridecanoic acid

72629-94-8

PFUnA

Perfluoroundecanoic acid

2058-94-8

* HFPO-DA is used in a processing aid technology developed by DuPont to make fluoropolymers without using PFOA. The
chemicals associated with this process are commonly known as GenX Chemicals and the term is often used interchangeably for
HFPO-DA along with its ammonium salt
Sources: USEPA, 2021a; 2021b; 2021c

PerfluorooctanoicAcid (PFOA)

Perfluorooctane Sulfonic Acid
(PFOS)

Figure 1-1. Chemical Structure of PFOA and PFOS

Sources: NCBI, 2021a; 2021b

Table 1-2. PFAS Classified by Functional Group and Chain Length

Number of
Carbons

Perfluorinated
Carboxylic
Acids/Carboxylates

Perfluorinated

Sulfonic
Acids/Sulfonates

Other
Perfluorinated

Polyfluorinated

3



PFPrS



PFMOAA

4

PFBA

PFBS

PFBS A

FtS 4:2, PF02HxA,
PFMOPrA

5

PFPeA

PFPeS



PF030A,
PFMOBA

6

PFHxA

PFHxS

HFPO-DA,
PFHxSA

FtS 6:2, PF04DA

7

PFHpA

PFHpS



ADONA, Nafion
BP2

8

PFOA

PFOS

PFOSA, PFECHS

FtS 8:2

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Number of
Carbons

9

10

11

12

13

Perfluorinated
Carboxylic
Acids/Carboxylates

PFNA

PFDA

PFUnA

PFDoA

PFTriA

Perfluorinated

Sulfonic
Acids/Sulfonates

PFNS

PFDS

Other
Perfluorinated

Polyfluorinated

N-MeFOSAA
N-EtFOSAA

Sources: ITRC, 2020; USEPA, 2021a; 2021b; 2021c

1.2 Organization and Overview

This report is organized as follows:

•	Evaluation of treatment and nontreatment compliance options for potential PFAS standards
(Chapters 2 through 6)

•	Costs for treatment and nontreatment (Chapter 7).

The technology evaluations in Chapter 2 through 5 describe treatment technologies that can
effectively remove PFAS from drinking water. Specifically, they address effectiveness for the
following treatment technologies:

•	Granular activated carbon (GAC) (Chapter 2)

•	Ion exchange (IX) (Chapter 3)

•	Reverse osmosis and nanofiltration (RO/NF) (Chapter 4)

•	Point-of-use/point-of-entry (POU/POE) treatment (Chapter 5).3

For each technology, the corresponding chapter provides an overview of how the technology
operates and summarizes its effectiveness for removal or destruction of PFAS. Each technology
summary also incorporates available findings with respect to effectiveness under different source
water conditions. Information on process waste characterization, handling, and management is
also provided. Each summary concludes with a compilation of the PFAS-specific engineering
design specifications obtained from the treatability literature reviewed.

Chapter 6 discusses nontreatment options that might be used in lieu of treatment options to
comply with the proposed PFAS regulation. Chapter 7 (in combination with Appendices A and
B) presents estimated costs associated with engineering, installation, operation, and maintenance
of each of the treatment and nontreatment options discussed in Chapters 2 through 6. Appendix
A provides complete cost equations for the treatment and nontreatment options. Appendix B

3 POU devices are not currently a compliance option because the regulatory options under consideration require treatment to
concentrations below the current NSF International/American National Standards Institute (NSF/ANSI) certification standard for
POU device removal of PFAS. However, POU treatment might become a compliance option for small systems in the future if
NSF/ANSI develop a new certification standard that mirrors EPA's proposed regulatory standard.

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presents example cost model outputs for selected flow rates, allowing review of individual cost
line items.

1.3	Information Sources

The information presented in this document is a summary of EPA's literature search to evaluate
the state of science with respect to treatment options for PFAS-contaminated drinking source
water. The objectives of the literature review were to:

•	identify what technologies are being studied and tested

•	summarize the data regarding effectiveness

•	characterize other factors relevant for drinking water treatment (e.g., pre- and post-treatment
requirements and waste characterization and management options)

•	identify key research gaps.

1.4	References

Agency for Toxic Substances and Disease Registry (ATSDR). 2021. Toxicological Profile for
Perfluoroalkyls. U.S. Department of Health and Human Services. Retrieved from

https://www.atsdr.cdc.eov/toxprofiles/tp200.pdf

Buck, R.C., Franklin, J., Berger, U., Conder, J.M., Cousins, I.T., de Voogt, P., Jensen, A. A.,
Kurunthachalam, K., Mabury, S.S., and van Leeuwen, S.P. 2011. Perfluoroalkyl and
polyfluoroalkyl substances in the environment: terminology, classification, and origins. Integr
Environ Assess Manage 7(4), 513-541. https://dot.ore/10.1002/iearn.258

Interstate Technology Regulatory Council (ITRC). 2020. Naming Conventions and Physical and
Chemical Properties of Per- and Polyfluoroalkyl Substances (PFAS). Retrieved from https://pfas-
1 .itrcweb.org/fact sheets page/PFASFact Sheet Naming Conventions April2020.pdf

National Center for Biotechnology Information (NCBI). 2021a. PubChem Compound Summary
for CID 9554, Perfluorooctanoic acid. Retrieved from

https://pubchem.ncbi.nlm.nih.eov/compound/9554#section=2D-Stmcture

NCBI. 2021b. PubChem Compound Summary for CID 74483, Perfluorooctanesulfonic acid.
Retrieved from https://pubchem.ncbi.nlm.nih.gov/compound/Perfluorooctanesulfonic-
acid#section=2D-Structure

Rogers, R.D., Reh, C.M., and Breysse, P. 2021. Advancing per- and polyfluoroalkyl substances
(PFAS) research: an overview of ATSDR and NCEH activities and recommendations. J Expo Sci

Environ Epidemiol, 31(6), 961-971. https://doi.cnv 10 10 '< V ! I ; 0 0.1 00 '< I

U.S. Environmental Protection Agency (USEPA). 2021a. Drinking Water Treatability Database:
Per- and Polyfluoroalkyl Substances. Retrieved from

https://tdb.epa.eov/tdb/contaminant7i 20

USEPA. 2021b. Drinking Water Treatability Database: Perfluorooctane Sulfonate. Retrieved
from https://tdb.epa.eov/tdb/contaminant?id=10940

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USEPA. 2021c. Drinking Water Treatability Database: Perjluorooctanoic Acid. Retrieved from

https://tdb.epa. gov/tdb/contaminant?id=l 0520

USEPA. 202Id. CompTox Chemicals Dashboard: PFAS structures in DSSTox (update August
2021). Retrieved from https://comptox.epa.gov/dashboard/chemical-lists/ TRUCTY4

Weaver, J. 2020. PFAS should be managed as a single class of chemicals, experts say.
Environmental Factor. National Institute of Environmental Health Sciences. Retrieved from

https://factor.niehs.nih.gOv/2020/8/papers/pfas/index.htm

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2.0	Granular Activated Carbon (GAC)

2.1	Operating Principle

GAC is a porous adsorptive media with extremely high internal surface area. GAC is
manufactured from a variety of raw materials with porous structures including bituminous coal,
lignite coal, peat, wood, coconut shells, and others. Physical and/or chemical manufacturing
processes are applied to these raw materials to create and/or enlarge pores, resulting in a porous
structure with a large surface area per unit mass.

When water is treated with GAC, it passes through treatment columns or beds containing GAC.
The process separates dissolved contaminants from the water through adsorption to the surfaces
in the pores of the GAC. In the case of PFAS, the literature suggests that the primary
mechanisms of adsorption include both hydrophobic and electrostatic interactions (Ateia et al.,
2019). In addition to removing PFAS, GAC can remove contaminants including taste and odor
compounds, natural organic matter, volatile organic compounds, synthetic organic compounds,
disinfection byproduct precursors, and radon. Organic compounds with high molecular weights
are also readily adsorbable.

The contaminants are adsorbed by GAC until the carbon is no longer able to adsorb additional
molecules at the influent feed concentration. At this point, the result is reduced removal of the
contaminant, referred to as "breakthrough." Figure 2-1 is a conceptual diagram of the GAC
treatment process, from initial adsorption to breakthrough. Once the contaminant concentration
in the treated water reaches an unacceptable level, the carbon is considered "spent" and must be
replaced by virgin or reactivated GAC. The length of time between GAC replacement events is
known as "bed life," discussed in more detail in Section 2.2.2. Reactivation4 is a process that
removes adsorbed contaminants from adsorption sites on GAC so that it can be reused. Although
different methods are available for GAC reactivation, the process most commonly involves high
temperature thermal treatment in a specialized facility such as a multiple hearth furnace or rotary
kiln (Matthis and Carr, 2018; USEPA, 2022). Section 2.5 provides more information on the fate
of PFAS in the reactivation process.

GAC beds typically also require periodic backwash to prevent head loss or biomass
accumulation. The backwash process must be designed to remove accumulated solids, while
preventing the spent carbon at the top of the column from mixing with the unspent carbon at the
bottom, creating a mixed bed and the possibility of "leakage" of the target contaminant.

4 The terms "reactivation" and "regeneration" are sometimes used interchangeably in the drinking water industry. GAC vendors,
however, make a distinction between the two processes. The appropriate term for the process used on spent GAC containing
adsorbed PFAS is reactivation (Matthis and Carr, 2018).

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Initial adsorption

At breakthrough

Influent
water

Influent
water

I—N

Treated
water

Treated
water



GAC

Spent GAC

• PFAS

Figure 2-1. Conceptual Diagram of the GAC Treatment Process

The specific design of a GAC treatment facility depends on the type of contactor and the system
configuration used. GAC can be set up in a single-stage, series, or parallel system. In drinking
water treatment, GAC configuration generally is a downflow fixed (packed) bed system. The
system can have single or multiple adsorbers operated under pressure or fed by gravity (Brady
and Moran, 2012; Summers et al., 2011). Pressure contactors are more cost effective for small
systems because they can be purchased off the shelf as prefabricated, packaged units. Pressure
GAC systems can be operated at higher suspended solids concentrations with less frequent
backwashing and over a wide range of flow rates due to the allowable pressure variances.
Pressure GAC systems are also enclosed, so there is no visual observation of the system. Gravity
contactor designs are generally used in larger installations (Brady and Moran, 2012; Summers et
al., 2011). Gravity contactors can be sized larger than off-the-shelf pressure vessels and because
common wall design can minimize space requirements. A gravity contactor design is better for
systems that do not have large variances in flow, pressure, or turbidity (Summers et al., 2011).
Figure 2-2 and Figure 2-3, respectively, provide schematic drawings for a pressure GAC facility
and a gravity GAC facility.

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Backwash to
fm) Residuals
- Management

/tumj

Influent

On-Site GAC
Regeneration

Optional equipment
not shown:

-	GAC transfer

-	Bypass piping

CXK—~

Treated Water

Optional Equipment

INSTRUMENTATION

pH Meter (™) Turbidity (3) High/Low
Meter	Alarm

©Head Loss ©Temperature©

LINES

Influent

Treated Backwash

x

Manual
Valve

. Check
'	Valve



Control
Valve

Pressure GAC System
Typical Schematic Layout

Pressure GAC System 9-28-2021 .vsd

Figure 2-2. Typical Schematic Layout for Pressure GAC Treatment Facility

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2.2 Effectiveness for PFAS Removal
2.2.1 Removal Efficiency

EPA's Drinking Water Treatability Database (USEPA, 2021a; 2021b; 2021c) includes extensive
data from the literature on PFAS removal by GAC. Results are available from studies conducted
in the laboratory, in the field at pilot scale, and in full-scale application, as shown in Table 2-1,
Table 2-2, and Table 2-3.5 These tables present the number of studies at each scale, along with a
key benchmark of technology effectiveness: maximum removal efficiency. Removal efficiency
is the percentage of the influent concentration removed through treatment.

The literature demonstrates maximum GAC removal efficiencies of 90 percent or greater for all
the carboxylate and sulfonate PFAS compounds for which data are available. The literature also
shows that the technology often removes these compounds to levels below analytical detection
limits. For PFOA and PFOS, maximum removal efficiencies are greater than 99 percent, also to
below analytical detection limits and lower than the regulatory thresholds currently under
consideration. There are fewer studies of GAC performance for other (non-carboxylate and non-

5 Data shown in these tables are as of December 2021. EPA frequently updates the Drinking Water Treatability Database, so
parties interested in results from recently published literature may wish to access the database directly at
https: // tdb. ev)a. go v/tdb/home.

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sulfonate) PFAS compounds, but the available data show maximum removal efficiency of 90
percent or greater for many of these compounds, including HFPO-DA.

Table 2-1. Studies of GAC Treatment for Carboxylate PFAS

PFAS
Compound

Number
of

Carbons

Number of
Bench Studies

Number of
Pilot
Studies

Number of
Full-scale
Studies

Maximum
Removal
Efficiency

Source(s) for Maximum
Removal Efficiency

PFBA

4

8

5

5

99.5

Westreich et al. 2018

PFPeA

5

7

5

5

90

Appleman et al. 2013;
McCleaf et al. 2017; Park
et al. 2017; Lombardo et
al. 2018; Kempisty et al.
2019; Liu etal. 2019;
Park et al. 2020

PFHxA

6

12

6

6

99.5

Westreich et al. 2018

PFHpA

7

9

5

7

>99

Zeng et al 2020

PFOA

8

23

9

17

>99.8

Forrester and Bostardi
2019

PFNA

9

6

3

8

>99

Zeng et al 2020

PFDA

10

6

1

4

97

Appleman et al. 2013

PFUnA

11

1

0

1

90

McCleaf etal. 2017

PFDoA

12

3

0

0

90

McCleaf et al. 2017; Park
etal. 2017

PFTriA

13

1

0

0

90

McCleaf etal. 2017

Sources: USEPA, 2021a; 2021c

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Table 2-2. Studies of GAC Treatment for Sulfonate PFAS

PFAS

Number
of

Carbons

Number of

Number of
Pilot
Studies

Number of
Full-scale
Studies

Maximum
Removal
Efficiency

Source for Maximum

Compound

Bench Studies

Removal Efficiency

PFPrS

3

0

1

0

90

Liu et al. 2019

PFBS

4

13

7

8

99.5

Westreich et al. 2018

PFPeS

5

2

2

0

90

Liu et al. 2019

PFHxS

6

13

7

11

99.5

Westreich et al. 2018

PFHpS

7

2

4

1

>99

Belkouteb et al. 2020

PFOS

8

24

10

15

99.7

Woodard et al. 2017

PFNS

9

1

0

0

95.82

Wang et al. 2020

Sources: USEPA, 2021b; 2021c











Table 2-3. Studies of GAC Treatment for Other PFAS





PFAS

Number
of

Carbons

Number of

Number of
Pilot
Studies

Number of
Full-scale
Studies

Maximum
Removal
Efficiency

Source for Maximum

Compound

Bench Studies

Removal Efficiency

PFMOAA

3

0

0

1

70

Hopkins et al. 2018

FtS 4:2

4

0

1

0

Not reported



PFBS A

4

1

0

0

56

Yan et al. 2020

PF02HxA

4

0

0

1

90

Hopkins et al. 2018

PF030A

5

0

0

1

90

Hopkins et al. 2018

FtS 6:2

6

1

3

0

88

Casey et al. 2018

HFPO-DA

6

1

1

1

93

Hopkins et al. 2018

PFHxSA

6

1

1

0

80

Rodowa et al. 2020

PF04DA

6

0

0

1

90

Hopkins et al. 2018

Nafion BP2

7

0

1

1

>99

Hopkins et al. 2018

FtS 8:2

8

1

3

0

88

Woodard et al. 2017

PFOSA

8

3

1

0

95

Kothawala et al. 2017

PFECHS

8

1

0

0

65

Yan et al. 2020

Source: USEPA, 2021c

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2.2.2 Bed Life

In addition to removal efficiency, the effectiveness of GAC depends on bed life, which is the
length of time the technology can maintain a target removal efficiency (e.g., 80 percent, 95
percent) or predefined concentration limit (such as an MCL). Bed life can be expressed as the
number of days or months between GAC replacement events. It can also be expressed in bed
volumes (BV), which is a measure of throughput: the volume of water treated during the bed life
divided by the volume of the GAC bed. With either measure, a higher number indicates a longer
bed life and more effective treatment.6 Figure 2-4 illustrates the concepts of breakthrough and
bed life on a typical "S-shaped" GAC breakthrough curve.

Figure 2-4. Typical GAC Breakthrough Curve

There is a consensus in the literature that GAC's capacity for a given PFAS compound is
strongly influenced by chain length (i.e., number of carbon atoms) and functional group (i.e.,
carboxylate versus sulfonate). In general, all other factors (see below) being equal, GAC exhibits
a greater capacity for longer chain compounds than shorter chain compounds and a greater
capacity for sulfonate PFAS than carboxylate PFAS. The greater capacity translates to longer
bed life and lower treatment costs (Appleman et al., 2013; Appleman et al., 2014; Berretta et al.,
2021; Inyang and Dickenson, 2017; McCleaf et al., 2017; Zeng et al., 2020).

For GAC, chain length appears to be the more important factor, followed by functional group.
The results from Berretta et al. (2021) provide an example of a typical order of breakthrough.

0 A related measure is carbon use rate, which is often expressed in units of pounds of carbon used per 1,000 gallons of water
treated. A lower carbon use rate reflects a longer bed life and more effective treatment. To avoid confusion, this document does
not present data on carbon use rate.

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From earliest breakthrough to latest, this typical sequence is as follows (with number of carbon
atoms shown in parenthesis for ease of reference):

PFBA (4) > PFHxA (6) > PFBS (4) > PFOA (8) > PFHxS (6) > PFOS (8)

In addition to chain length and functional group, estimates of GAC bed life for PFAS removal
depend on multiple factors. These additional factors can include the following:

•	The target removal efficiency or predefined concentration at which the treated water quality
is considered unacceptable (i.e., the "breakthrough" concentration)

•	The influent concentration of the target PFAS compound(s)

•	Other raw water quality parameters (see Section 2.3)

•	Size of the GAC bed relative to the flow of water to be treated, measured by empty bed
contact time (EBCT) (see Section 2.6.1)

•	Adsorption properties of the specific GAC media (e.g., type of carbon, surface area, pore size
distribution, and surface chemistry).

Because of these varying factors, comparing GAC bed life results across multiple studies is
difficult. Section 2.6.3 discusses methods to estimate bed life as a critical parameter in the design
and operation of GAC treatment.

2.2.3 Full-Scale Applications

Additional support for the effectiveness of GAC for PFAS removal is evident from the number
of full-scale facilities that are currently using the technology. As indicated in Section 2.1.1, there
are numerous studies of GAC performance for PFAS removal at full-scale facilities. These
effectiveness studies include results for GAC facilities designed specifically to target PFAS, in
addition to facilities originally designed for other contaminants. In total, the literature identifies
more than 30 full-scale GAC facilities that specifically target the removal of PFAS from drinking
water. Table 2-4 identifies these facilities.

Table 2-4. Full-scale GAC Systems Removing PFAS from Drinking Water

Location

Flow
rate
(MGD)

Groundwater
or Surface
Water

Year of
Startup

Sources

Moose Creek, Fairbanks North Star
Borough, Alaska

2.2

Groundwater

2016

Alaska Community Action on
Toxics 2019; Forrester 2019

Gustavus, Alaska

Not
reported

Groundwater

2018-
2019

Alaska Community Action on
Toxics 2019

Airline/Lambert Water Treatment Campus,
Marana, Pima County, Arizona

Not
reported

Groundwater

Not
reported

Marana Water 2019

Liberty Utilities, Litchfield Park, Arizona

1.58

Groundwater

2017

ADEQ 2021; Forrester 2019

Picture Rocks Water Treatment Campus,
Marana, Pima County, Arizona

Not
reported

Groundwater

Not
reported

Marana Water 2019

Municipal Services Commission of the
City of New Castle, New Castle, Delaware

0.50

Groundwater

2015

Mordock 2016; Forrester 2019

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Location

Flow
rate
(MGD)

Groundwater
or Surface
Water

Year of
Startup

Sources

Emerald Coast Utilities Authority,
Pensacola, Escambia County, Florida

1.44

Groundwater

2017

Robinson 2018; Forrester
2019

Rome Water and Sewer Division, Rome,
Georgia

9

Groundwater

Not
reported

Forrester 2019; City of Rome
2019

Former Naval Air Station, Brunswick,
Maine

Not
reported

Not reported

2011

Danko 2018

Kennebunk, Kennebunkport & Wells
Water District, Kennebunk, Maine

2.90

Groundwater

2020

Berretta et al. 2021; Business
Wire 2018

Mary Dunn Water Supply Wells, Hyannis
& Town of Barnstable, Massachusetts

1.44

Groundwater

2015

Gallagher 2017; Forrester
2019

City of Westfield Department of Public
Works, Westfield, Massachusetts

Not
reported

Groundwater

2018

Westfield 2019

Plainfield Township, Kent County,
Michigan

9

Groundwater

2018

Biolchini 2018

Ann Arbor Water Treatment Plant, Ann
Arbor, Michigan

50

Surface Water

2018

Stanton 2019; Page 2020

Oakdale Public Works, Oakdale,
Minnesota

3.6

Groundwater

2006

MDH 2010; ATSDR 2008

Merrimack Village District Water Works,
Merrimack, Hillsborough County, New
Hampshire

Not
reported

Groundwater

2020

Cronin 2020

Pease International Tradeport Drinking
Water System, Portsmouth, New
Hampshire

0.72

Groundwater

2019

City of Portsmouth 2020;
Forrester 2019

Montclair Water Bureau, Montclair, New
Jersey

0.72

Groundwater

Not
reported

Forrester 2019; PFAS Project
Lab 2021

Passaic Valley Water Commission,
Garfield, New Jersey

0.5

Groundwater

Not
reported

Forrester 2019; Sobko 2021

Hampton Bays Water District, Suffolk
County, New York

9

Groundwater

2018

Gordon 2018

Suffolk County Water Authority, New
York

Not
reported

Groundwater

2017

SCWA2018

Town of Petersburgh Water District,
Petersburgh/Rensselaer County, New York

0.07

Not reported

2017

Forrester 2019; NYS DEC
2020a

Washington Lake Filtration Plant,
Newburgh, New York

8.86

Groundwater

2017

Forrester 2019; NYS DEC
2020b

Little Hocking Water Association, Little
Hocking, Ohio

Not
reported

Groundwater

2007

Cummings et al 2015

Village of Hoosick Falls, New York

1.01

Groundwater

Not
reported

Forrester 2019; NYS DEC
2021

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Location

Flow
rate
(MGD)

Groundwater
or Surface
Water

Year of
Startup

Sources

Sweeny Water Treatment Plant, Cape Fear
Public Utilities Authority, North Carolina

44

Surface Water

2022

Vandermeyden and Hagerty
2020

Wright-Patterson Air Force Base, Dayton,
Ohio

2.74

Groundwater

2017

Barber 2017; Forrester 2019

Aqua Pennsylvania, Chalfont Borough,
Pennsylvania

0.58

Groundwater

Not
reported

Forrester 2019; Chalfont
Borough 2021

Horsham Water and Sewer Authority,
Horsham, Montgomery County,
Pennsylvania

1.44

Groundwater

2017

Boodoo et al. 2019;
Montgomery News 2017;
Forrester 2019

Warrington Township Water and Sewer
Department, Warrington, Pennsylvania

0.58

Groundwater

Not
reported

Forrester 2019; Warrington
Township 2017

City of El Campo Water Department, El
Campo, Texas

Not
reported

Groundwater

2017

Sullivan 2018

Airway Heights Water System, City of
Airway Heights, Washington

Not
reported

Groundwater

2018

ATSDR 2020

Joint Base Lewis-McChord, Washington

Not
reported

Groundwater

Not
reported

Sullivan 2018

fssaquah, Washington

4.32

Groundwater

2016

City of Issaquah 2020; Mende
2019; Kwan and York 2017

Parkersburg Utility Board, Parkersburg,
West Virginia

Not
reported

Not reported

Not
reported

USEPA 2009

MGD = million gallons per day

2.3 Raw Water Quality Considerations

Natural organic matter, often measured as dissolved organic carbon (DOC) or total organic
carbon (TOC), can interfere with GAC's capacity to adsorb PFAS (Appleman et al., 2013; Ateia
et al., 2019; Berretta et al., 2021; Gagliano et al., 2020; Kothawala et al., 2017). The significance
of this interference may depend on the specific type of natural organic matter present (Gagliano
et al., 2020; Kothawala et al., 2017). However, in general, it does not necessarily reduce the
maximum removal effectiveness of GAC. Instead, it shortens the time to breakthrough, meaning
more frequent GAC replacement can be required at higher TOC concentrations, all other factors
being equal. Therefore, it should be possible to reliably manage the impact of natural organic
matter through piloting, selection of design parameters, and operational monitoring. For purposes
of estimating national costs for GAC, EPA used a method to estimate bed life that explicitly
includes consideration of influent TOC (see Sections 2.6.3 and 7.2.1).

The presence of other adsorbable contaminants can reduce GAC capacity for a target
contaminant, as the contaminants compete for adsorption sites on the media. The extent of this
competition depends on the relative concentrations and adsorbability of the contaminants.
However, when a poorly adsorbed contaminant is present and not a treatment target, the system
can allow the contaminant to breakthrough, reducing its impact on GAC capacity for the target

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contaminant(s) (Stenzel and Merz, 1989). When multiple target contaminants (e.g., multiple
PFAS compounds) are present, GAC operation, specifically the selection of bed life, should
consider competition among these contaminants. In extreme cases, where the GAC bed becomes
highly saturated with contaminants, preferred contaminants in the influent can displace
previously adsorbed, less preferred contaminants. Such cases can result in a phenomenon known
as chromatographic peaking, where the treated concentration of a less preferred contaminant
exceeds its influent concentration (Brady and Moran, 2012). Appleman et al. (2014) reported this
phenomenon for PFBA at a full-scale GAC system removing PFAS. McCleaf et al. (2017)
observed similar behavior for PFBA and PFPeA in column tests. Like TOC, the impact of
competition among target contaminants, including the potential for chromatographic peaking,
can be managed through piloting, selection of design parameters, and operational monitoring.
For purposes of estimating national costs for GAC, EPA used a method to estimate bed life that
is based on data from studies where multiple PFAS compounds were present in concentrations
typical of PFAS-contaminated drinking water (see Sections 2.6.3 and 7.2.1).

2.4	Pre- and Post-Treatment Needs

Because GAC also works as a filtration medium, solids in influent water can accumulate in the
GAC bed, causing excess pressure drop and increased backwash frequency. Therefore, under
some circumstances, pre-filtration should be included. Such circumstances are site-specific, but
examples include when upstream treatment includes coagulant addition for solids removal or
when there is the potential for formation of iron and manganese precipitates (Stenzel and Merz,
1989; Summers et al., 2011). Chlorination prior to GAC treatment is not generally recommended
because of the potential for the chlorine compounds to react with adsorbed compounds or the
GAC itself (Brady and Moran, 2012; Summers et al., 2011).

In some cases, there can be temporary water chemistry changes immediately following GAC
changeout, such as leaching of metals (e.g., arsenic, antimony), increases in pH, or release of
fines which are small particles or powdered materials (Brady and Moran, 2012). These effects
are readily managed by using pre-treated GAC media or diverting the first few bed volumes of
treated water to waste and do not typically require post-treatment.

2.5	Waste Generation and Residuals Management Needs

The most likely management option for spent GAC containing adsorbed PFAS is reactivation.
There are a number GAC vendor-operated reactivation facilities available, including some that
hold Resource Conservation and Recovery Act (RCRA) permits to treat spent GAC that is
classified as hazardous waste (USEPA, 2020; Matthis and Carr, 2021). Matthis and Carr (2021)
report results from leaching tests on GAC used to remove PFAS from drinking water at full-scale
after reactivation, also in a full-scale facility. They found that 15 of the 16 PFAS compounds
analyzed were below analytical limits in the leachate. PFBA was present, but only at 1.9 parts
per trillion. These results suggest that reactivated GAC should be suitable for reuse.

The full-scale study in Mathis and Carr (2021), however, did not fully address the fate of PFAS
in the GAC reactivation process. There are a limited number of smaller scale studies that have
examined whether PFAS compounds are transformed, volatilized, or destroyed/defluorinated
during the process (e.g., Watanabe et al., 2016; Watanabe et al., 2018; Xiao, 2020). These studies
suggest that the fate of PFAS in GAC reactivation depends on factors including PFAS chain

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length, reactivation temperature, and combustion atmosphere (Baghirzade et al., 2021).

Additional full-scale research might be needed if future air quality regulations address PFAS
emissions from GAC reactivation facilities. The results of this research might necessitate
changes to spent GAC management practices. Future RCRA hazardous waste regulations for
PFAS could also limit the available management options.

GAC systems also intermittently generate a liquid residual in the form of spent backwash. Like
conventional filters, GAC contactors must be backwashed periodically to remove solids,
maintain the desired hydraulic properties of the bed, and possibly to control biological growth.
Backwash does not remove adsorbed contaminants from the GAC bed, although some attrition or
loss of actual GAC particles may occur during the backwash process. Therefore, spent backwash
water contains primarily suspended solids and not target contaminants. The interval between
backwash occurrences is mainly a function of the turbidity in the influent water. Management
options for spent backwash include discharge to surface water under a National Pollutant
Discharge Elimination System (NPDES) permit, discharge to a wastewater treatment plant
(WWTP), or recycle to the head of the treatment plant. For some small systems, another option
may be discharge to an on-site septic system.

When averaged over the time between generation events, backwash flow is relatively low.
Instantaneous flow during a backwash event, however, is much higher. If spent backwash is
recycled to the head of a treatment plant, recommended engineering practice is that the recycle
stream should be no more than 5 to 10 percent of total system flow (USEPA, 2002; USEPA,
1996). Thus, when backwash is recycled, the system should include a spent backwash holding
tank to prevent recycle flow from exceeding this recommendation. Holding tanks also may be
advisable for other backwash management options (e.g., to prevent instantaneous flow from
overwhelming the capacity of a WWTP).

2.6 Critical Design Parameters

Critical design parameters for GAC systems removing PFAS are:

•	EBCT

•	Contactor configuration (number of vessels in series)

•	Bed life

•	Residuals management options.

Section 2.5 discusses residuals management options. The sections below discuss EBCT,
contactor configuration, and bed life in more detail, including the data available in the literature
for these parameters. Section 7.2.1 identifies the specific values for each parameter used in
EPA's cost estimates. Values for other GAC design parameters (e.g., loading rate, backwash
frequency), while not specifically addressed here, are well documented for GAC treatment in
general. EPA has no reason to expect a significant difference in these parameters for GAC
systems treating PFAS compounds.

2.6.1 Empty Bed Contact Time

For a given set of site-specific conditions, there is a minimum EBCT required to produce water
of a target quality. EBCT, measured in minutes, is defined by the following equation:

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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Volume of GAC Bed

EBCT (in minutes) = —							

Volumetric Flow Rate (per minute)

The minimum EBCT required varies depending on the specific contaminant treated, the required
contaminant removal percentage, the type of GAC used, and other influent water characteristics.
Full-scale GAC treatment systems that are purpose-built for PFAS removal and for which EBCT
data are available use EBCTs between 7.6 and 26 minutes (Appleman et al., 2014; Boodoo,
2018; Forrester and Mathis, 2018; Kwan and York, 2017; Vandermeyden and Hagerty, 2020).
GAC vendors commonly recommend a minimum EBCT of 20 minutes for PFAS removal
(Calgon Carbon, 2018; Forrester and Mathis, 2017; 2018).

2.6.2	Contactor Configuration

GAC treatment systems with multiple contactors can be configured in parallel or in series. The
schematic diagrams in Section 2.1 show contactors in parallel (in Figure 2-2) and in series (in
Figure 2-3). In a series (or lead/lag) configuration, water flows first through an initial contactor
that serves as a roughing contactor, then through subsequent contactors that serve as polishing
contactors. Each contactor in the series typically has an equal EBCT such that the total EBCT of
the series provides the design EBCT. In a parallel configuration, flow is divided equally among
the contactors, each of which provides the design EBCT (Brady and Moran, 2012).

A series (or lead/lag) configuration serves the purpose of treating a greater water volume than
one contactor with similar bed volume. When GAC in the roughing contactor is spent, this media
is replaced and the polishing contactor moves to the start of the series, becoming the roughing
contactor. The use of vessels in series can allow the carbon in the lead vessel to reach saturation,
increasing total capacity (Brady and Moran, 2012; Summers et al., 2011).

A parallel configuration can also increase total capacity by staggering GAC replacement events.
In this arrangement, individual contactors can approach saturation, providing lower removal
efficiency, while other, more recently replaced contactors are exceeding the required removal
efficiency. Correctly operated, the resulting blended flow will meet the treatment goal (Brady
and Moran, 2012; Summers et al., 2011). Systems can use a configuration that combines series
and parallel operation (i.e., multiple trains in parallel, each train with contactors in series).

Full-scale GAC treatment systems that are purpose-built for PFAS removal and for which
configuration data are available are pressure systems that use two vessels in series (Appleman et
al., 2014; Berretta et al., 2021; Boodoo, 2018; Forrester and Mathis, 2018; Kwan and York,
2017; Vandermeyden and Hagerty, 2020). For pressure systems removing PFAS, design
engineers and GAC vendors commonly recommend two vessels in series (Anderson et al., 2021;
Calgon Carbon, 2018; Forrester and Mathis, 2017; 2018). Gravity systems typically do not use
series operation.

2.6.3	Bed Life

As discussed in Section 2.2.2, GAC bed life depends on a number of factors. Designers should
select EBCT and contactor configuration to maximize bed life. Although bed life data are
available from full-scale systems removing PFAS, these data are of limited usefulness because of
one or more of the following factors:

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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•	Influent PFAS concentrations that are highly variable over time, with frequent non-detections

•	A limited number of PFAS compounds monitored

•	GAC reactivation or replacement prior to PFAS detection in treated water.

More extensive data are available in the literature from pilot studies and rapid small scale
column tests (RSSCTs). RSSCTs are laboratory tests designed and operated under hydraulic and
influent water conditions that are calibrated to simulate those in full-scale adsorbers. The
simulation considers fluid dynamic parameters such as flow rate, GAC particle size, Reynolds
number, diffusivity and others (Crittenden et al., 1991). RSSCTs have the advantage of being
less time-consuming than pilot-studies or full-scale studies, where reaching breakthrough can
require months or years.

Comparing and synthesizing bed life data from pilot studies and RSSCTs is complicated by
variations in study design (e.g., water quality, EBCT, type of GAC). To develop a practical
method of estimating bed life for purposes of estimating national costs for GAC, EPA used data
from six studies covering 10 water quality conditions. EPA selected these studies for the
following reasons:

•	The studies are peer-reviewed publications

•	Bed life data were tabulated in or readily interpolated from the published literature

•	Multiple PFAS compounds were present in concentrations typical of PFAS-contaminated
drinking water

•	The studies measured natural organic matter (as TOC or DOC) and it was present in
concentrations typical of drinking water sources

•	The studies presented data for a EBCT of 10 minutes, providing a consistent and comparable
measure of bed volumes across the studies.

Table 2-5. Studies Used to Develop GAC Bed Life Estimates

Study

Study Type

Number of
Water Quality
Conditions

Influent
TOC (mg/L)

PFAS Compounds Present and Monitored

Burkhardt et
al., 2022

Pilot

3

1.8 to 3.2(a)

PFBA(b), PFPeA(b), PFHxA, PFOA,
PFNA(b), PFDA(b), PFBS, PFPeS(b),
PFHxS, PFOS, PFNS(b), HFPO-DA(c)

Liu et al., 2019

Pilot

1

2.7(d)

PFPeA(b), PFHxA, PFHpA, PFOA,
PFPrS(b), PFBS, PFPeS(b), PFHpS(b),
PFHxS, PFOS

McNamara et
al., 2018

CD-RSSCT

1

1.42

PFOA, PFOS

Park et al.,
2020

CD-RSSCT

2

0.53 and 0.78

PFPeA(b), PFHxA, PFHpA, PFOA, PFBS,
PFOS

Patterson et al.,
2018

CD-RSSCT

1

2.3 to 2.4

PFHpA, PFOA, PFNA(b), PFBS, PFHxS,
PFOS

Zeng et al.,
2020

CD-RSSCT

2

0.4 and
0.88(d)

PFHxA, PFHpA, PFOA, PFBS, PFHxS,
PFOS

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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CD-RSSCT = constant diffusivity rapid small scale column test; DOC = dissolved organic carbon; TOC = total organic carbon
Notes:

(a)	Includes unpublished TOC data from PFAS pilot study

(b)	EPA was not able to develop a breakthrough relationship for this compound

(c)	Other non-carboxylate, non-sulfonate PFAS were also present and monitored

(d)	Influent DOC

EPA pooled the data from all the studies. When the studies compared different types of GAC,
EPA selected the data for the best performing GAC, assuming that systems would not use
underperforming media in practice. EPA then used multiple linear regression to develop a model
that results in compound-specific bed life equations.

EPA recognizes that PFAS breakthrough curves are not linear. However, to develop the
equations, EPA specifically used the data from the last point of non-detection to the first instance
of complete breakthrough (or the end of the study, whichever came first). By limiting the data to
this range, EPA sought to characterize the portion of the breakthrough curve where bed life
changes rapidly with removal efficiency. This portion of the curve is of most interest in selecting
a target bed life for purposes of cost estimating and is expected to be more approximately linear
than the curve overall. Figure 2-5 shows this concept graphically in relation to a typical
theoretical breakthrough curve.

TO
>
o

£

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Where:

•	BVContam,GAC = GAC bed life for a given PFAS contaminant in BV

•	TOC = influent TOC in milligrams per liter (mg/L)

•	%Rcontam = target percent removal of a given PFAS as a decimal (e.g., 0.8, 0.95)

•	Atoc, Ar,gac, and BCOntam,GAc are parameters derived in the regression analysis. Table 2-6
shows their estimated values.

Table 2-6. Estimated Parameter Values for GAC Bed Life Equations

Parameter

GAC Model Value

Atoc

-37,932

Ar

-36,309

Bhfpo-da

113,034

BpEHxA

113,967

Bpfbs

129,357

BpRHpA

129,357

BpEHxS

129,357

BpFOA

139,862

Bpfos

143,731

The parameter values result in the following order of breakthrough from earliest to latest, given a
constant influent TOC and target percent removal:

HFPO-DA > PFHxA > PFBS = PFHpA = PFHxS > PFOA > PFOS

This result is generally consistent with the typical expectation, as discussed in Section 2.2.2, that
shorter chain compounds break through before longer chain compounds and carboxylates break
through before sulfonates. The equations predict identical bed lives for PFBS, PFHpA, and
PFHxS because the intercept terms for these compounds (Bpfbs, Bpfhpa, and Bpfhxs) were not
significantly different from each other statistically. All compounds share the same slope term
(Atoc) for influent TOC (in mg/L) and the same slope term (Ar) for percent removal of the
PFAS compound (as a decimal) because specifying the model this way results in a consistent
order of breakthrough across the range of possible influent TOC values and percent removal
values. The model has an adjusted R2 of 0.62. The overall model and individual coefficients are
statistically significant. Note that the equations are valid only up to a TOC of 3.2 mg/L, the
maximum value in the data set used.

Because the equations are based on pooled data, they reflect central tendency results under
varying water quality conditions. As such, the EPA believes they represent the best approach for
estimating national cost given the data currently available in the literature. However, these
equations should not be used in lieu of site-specific engineering analyses or pilot studies to guide
the design or operation of specific treatment systems.

As discussed above, the equations are based in part on RSSCT data. For PFAS removal, there is
no consensus in the literature regarding methods to scale up GAC from RSSCTs to full-scale.

23


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

There are concerns that RSSCT results may, in some cases, overestimate full-scale bed life
(Hopkins, 2021; Kempisty et al., 2019; Meng et al., 2021; Redding et al., 2019). The degree of
this potential overestimation is not certain. To compensate for this potential overestimation,
when applying the bed life equations, EPA did not incorporate the increase in bed life that would
be expected from operating multiple contactors in series or parallel (see Section 2.6.2). Section
7.2.1 discusses this topic, and the application of the bed life equations generally, in more detail.

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fluorinated compounds from thermal treatment of PFOA, PFHxA and PFOS adsorbed onto
granular activated carbon (GAC). Journal of Material Cycles & Waste Management, 18, 625-
630. https://doi.org/ 10 (00 ^ 101 '< 01 0-\

Warrington Township. 2017. Water Contamination Information. Retrieved from:

https://www.warringtontownship.org/departments/water-sewer/water-contamination-info/

Westreich, P., Mimna, R., Brewer, J., and Forrester, F. 2018. The removal of short-chain and
long-chain perfluoroalkyl acids and sulfonates via granular activated carbons: A comparative
column study. Remediation, 29(1), 19-26. https://dot.org/10.1002/rem

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Woodard, S., Berry, J., and Newman, B. 2017. Ion exchange resin for PFAS removal and pilot
test comparison to GAC. Remediation, 27, 19-27. https://dot.ore/10.1002/rerr

Xiao, F., Sasi, P.C., Yao, B., Kubatova, A., Golovko, S.A., Golovko, M.Y., and Soli, D. 2020.
Thermal Stability and Decomposition of Perfluoroalkyl Substances on Spent Granular Activated
Carbon. Environmental Science and Technology Letters, 2020, 7, 343-350.
http s: //dx. doi. ore/10.1021 /acs. estl ett J

Yan, B., Munoz, G., Sauve, S., and Liu, J. 2020. Molecular mechanisms of per- and
polyfluoroalkyl substances on a modified clay: a combined experimental and molecular
simulation study. Water Research, 184(2020), 116166.

https://doi.on 10 101 /i.watres.2020.1 I I

Zeng, C., Atkinson, A., Sharma, N., Ashani, H., Hjelmstad, A., Venkatesh, K., and Westerhoff,
P. 2020. Removing per-and polyfluoroalkyl substances from groundwaters using activated
carbon and ion exchange resin packed columns. AWWA Water Science, 2(1), el 172.

http s: //doi. or e/10.1002/aws2.1172

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3.0	Ion Exchange (IX)

3.1	Operating Principle

IX is a physical/chemical separation process in which stronger binding ions such as PFAS in the
feed water are exchanged for weaker binding ions (typically chloride) on a resin generally made
of synthetic beads or gel. In application, feed water passes through a bed of resin in a vessel or
column. In the case of PFAS removal, the IX process is categorized as anion exchange (as
opposed to cation exchange), because the ions involved (PFAS compounds and chloride) are
negatively charged. To remove PFAS compounds, vendors generally recommend using special
PFAS-selective resins (Boodoo, 2018a; Boodoo et al., 2019; Lombardo et al., 2018; Woodard et
al., 2017).

The IX process continues until the resin does not have sufficient exchange sites available for the
target PFAS compounds. At this point, the result is reduced contaminant removal, referred to as
"breakthrough." Figure 3-1 is a conceptual diagram of the IX treatment process, from initial
adsorption to breakthrough. Once the contaminant concentration in the treated water reaches an
unacceptable level, the resin is considered "spent." In IX processes removing more traditional
anions (e.g., nitrate), the capacity of the spent resin is often restored by rinsing the media with a
concentrated chloride solution. However, conventional regeneration solutions are not effective
for restoring the capacity of PFAS-selective resins (Liu and Sun, 2021). Therefore, in drinking
water applications using PFAS-selective resin, design engineers and IX vendors recommend a
single-use approach where the spent resin is disposed and replaced with fresh resin (Anderson et
al., 2021; Boodoo, 2018a; Lombardo et al., 2018). Section 3.5 provides more information on the
management of spent PFAS-selective resin. The length of time between resin replacement events
is known as "bed life," discussed in more detail in Section 3.2.2.

Initially

At breakthrough

Influent
water



Resin

Spent Resin • PFAS •Chloride

Figure 3-1. Conceptual Diagram of the IX Treatment Process

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Figure 3-2 provides a schematic drawing for an IX system using disposable resin (i.e., without
regeneration). The schematic shows a system with piping designed to enable operation with
vessels in series, which is recommended for PFAS removal (see Section 3.6.1). In conventional
IX processes, an optional backwashing step can be performed periodically during the resin's
sen-ice cycle as needed to remove debris from the resin. In applications using PFAS-selective
resins, backwashing is not recommended (Berretta et al., 2021). However, the resin often
requires rinsing upon initial installation, with each replacement, and, in some cases, after periods
of inactivity (Gottlieb and Watkins, 2012). Thus, the schemati c shows optional tanks and pumps
that may be required by some systems to accomplish this rinse.

3.2 Effectiveness for PFAS Removal
3.2.1 Removal Efficiency

EPA's Drinking Water Treatability Database (USEPA, 2021a; 2021b; 2021c) includes extensive
data from the literature on PFAS removal by IX. Results are available from studies conducted in
the laboratory, in the field at pilot scale, and in full-scale application, as shown in Table 3-1,

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Table 3-2, and Table 3-3. 7 These tables present the number of studies at each scale, along with a
key benchmark of technology effectiveness: maximum removal efficiency. Removal efficiency
is the percentage of the influent concentration removed through treatment.

The literature demonstrates maximum IX removal efficiencies of 90 percent or greater from most
of the carboxylate and sulfonate PFAS compounds for which data are available.8 The literature
also shows that the technology often removes these compounds to levels below analytical
detection limits. For PFOA and PFOS, maximum removal efficiencies are greater than 99
percent, also to below analytical detection limits and lower than the regulatory thresholds
currently under consideration. There are fewer studies of IX performance for other (non-
carboxylate and non-sulfonate) PFAS compounds, but the available data show maximum
removal efficiency of 97 percent or greater for all the other compounds for which data are
available, including HFPO-DA.9

Table 3-1. Studies of IX Treatment for Carboxylate PFAS

PFAS
Compound

Number
of

Carbons

Number of
Bench Studies

Number of
Pilot
Studies

Number of
Full-scale
Studies

Maximum
Removal
Efficiency

Source(s) for Maximum
Removal Efficiency

PFBA

4

11

5

2

99.3

Dixit et al. 2020; Dixit et
al. 2021

PFPeA

5

7

3

2

95.5

Schaefer et al. 2019

PFHxA

6

11

4

3

>97

Liu 2017

PFHpA

7

9

6

4

>99

Zeng et al. 2020

PFOA

8

15

7

4

99.3

Mohseni et al. 2019; Dixit
et al. 2020; Dixit et al.
2021

PFNA

9

6

3

2

>99

Zeng et al. 2020;
Kumarasamy et al. 2020

PFDA

10

7

0

0

>99

Kumarasamy et al. 2020

PFUnA

11

1

0

0

90

McCleaf et al. 2017

PFDoA

12

2

0

0

99.3

Dixit et al. 2021

PFTriA

13

1

0

0

90

McCleaf etal. 2017

Sources: USEPA, 2021a; 2021c

7	Data shown in these tables are as of December 2021. EPA frequently updates the Drinking Water Treatability Database, so
parties interested in results from recently published literature may wish to access the database directly at
https://tdb.epa.gov/tdb/home.

8	Exceptions are PFPeS and PFNS, but data for removal of these compounds by IX are available only from laboratory
experiments in batch mode (Wang et al., 2020; Yan et al., 2020). These experiments are not designed to simulate the operation of
an IX treatment process and, thus, may not reflect the result achievable at full scale.

9	Note, however, that data are not available to estimate IX bed life for HFPO-DA, as discussed in Section 3.6.3.

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Table 3-2. Studies of IX Treatment for Sulfonate PFAS

PFAS
Compound

Number
of

Carbons

Number of
Bench Studies

Number of
Pilot
Studies

Number of
Full-scale
Studies

Maximum
Removal
Efficiency

Source(s) for Maximum
Removal Efficiency

PFBS

4

12

8

4

99.3

Dixit et al. 2020; Dixit et
al. 2021

PFPeS

5

2

0

0

74

Yan et al. 2020

PFHxS

6

11

7

4

>99

Zeng et al. 2020; Boodoo
2018a; Arevalo et al.
2014; Kumarasamy et al.
2020

PFHpS

7

2

3

0

93

Yan et al. 2020

PFOS

8

16

8

4

99.7

Woodard et al. 2017

PFNS

9

1

0

0

54.9

Wang et al. 2020

Sources: USEPA, 2021b; 2021c











Table 3-3. Studies of IX Treatment for Other PFAS





PFAS
Compound

Number
of

Carbons

Number of
Bench Studies

Number of
Pilot
Studies

Number of
Full-scale
Studies

Maximum
Removal
Efficiency

Source(s) for Maximum
Removal Efficiency

PFBS A

4

1

0

0

98

Yan et al. 2020

PFMOPrA

4

1

0

0

99.3

Dixit et al. 2021

PFMOBA

5

1

0

0

99.3

Dixit et al. 2021

FtS 6:2

6

2

2

0

99.3

Dixit et al. 2021

HFPO-DA

6

4

1

0

99.3

Dixit et al. 2020; Dixit et
al. 2021

PFHxSA

6

1

0

0

99

Yan et al. 2020

FtS 8:2

8

2

2

0

99.3

Dixit et al. 2021

PFOSA

8

3

0

1

98

Yan et al. 2020

PFECHS

8

1

0

0

97

Yan et al. 2020

Source: USEPA, 2021c

3.2.2 Bed Life

In addition to removal efficiency, the effectiveness of IX depends on bed life, which is the length
of time the technology can maintain a target removal efficiency (e.g., 80 percent, 95 percent) or
predefined concentration limit (such as an MCL). Bed life can be expressed as the number of
days or months between resin replacement events. It can also be expressed in BV, which is a
measure of throughput: the volume of water treated during the bed life divided by the volume of

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the resin bed. With either measure, a higher number indicates a longer bed life and more
effective treatment. Figure 3-3 illustrates the concepts of breakthrough and bed life on a typical
"S-shaped" IX breakthrough curve.

Time or Bed Volumes 	>•

Figure 3-3. Typical IX Breakthrough Curve

There is a consensus in the literature that the capacity of IX resin for a given PFAS compound is
strongly influenced by chain length (i.e., number of carbon atoms) and functional group (i.e.,
carboxylate versus sulfonate). In general, all other factors (see below) being equal, IX exhibits a
greater capacity for sulfonate PFAS than carboxylate PFAS. Within these categories, the
technology exhibits a greater capacity for longer chain compounds than shorter chain
compounds. The greater capacity translates to longer bed life and lower treatment costs (Arevalo
et al., 2014; Berretta et al., 2021; McCleaf et al., 2017; Schaefer et al., 2019; Zaggia et al., 2016;
Zeng et al., 2020).

For IX, functional group is more significant than chain length, with carboxylates breaking
through before sulfonates (Arevalo et al., 2014; Berretta et al., 2021; Schaefer et al., 2019; Zeng
et al., 2020). An example IX breakthrough sequence from Zeng et al. (2020) is as follows (with
number of carbon atoms shown in parenthesis for ease of reference):

PFHxA (6) > PFHpA (7) > PFOA (8) > PFBS (4) > PFHxS (6) > PFOS (8)

In addition to chain length and functional group, estimates of IX bed life for PFAS removal
depend on multiple factors. These additional factors can include the following:

•	The target removal efficiency or predefined concentration at which the treated water quality
is considered unacceptable (i.e., the "breakthrough" concentration)

•	The influent concentration of the target PFAS compound(s)

•	Other raw water quality parameters (see Section 3.3)

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•	Size of the IX bed relative to the flow of water to be treated, measured by EBCT (see Section
3.6.2)

•	The specific IX resin being employed.

Because of these varying factors, comparing IX bed life results across multiple studies is
difficult. Section 3.6.3 discusses methods to estimate bed life as a critical parameter in the design
and operation of IX treatment.

3.23 Full-Scale Applications

Additional support for the effectiveness of IX for PFAS removal is evident from the number of
full-scale facilities that are currently using the technology. Table 3-4 lists full-scale IX facilities
identified in the literature. The effectiveness studies enumerated in Section 3.1.1 include results
for some of these facilities. The first full-scale system treating drinking water using PFAS-
selective IX commenced operation in 2017 (WWSD, 2018). Since that time, a number of
additional drinking water systems have begun using the technology at full scale. Although IX
remains a less common choice for PFAS removal than GAC, these recent installations suggest an
increasing trend in the share of systems choosing IX. According to Berretta et al. (2021): "[n]ew
suppliers are creating PFAS-selective resins, while those already in the market are improving
their existing products."

Table 3-4. Full-scale IX Systems Removing PFAS from Drinking Water

Location

Flow rate
(MGD)

Groundwater
or Surface
Water

Year of
Startup

Sources

Security Water and Sanitation Districts,
Security, Colorado

9

Groundwater

2019

Jent 2020

Stratmoor Hills Water District, Stratmoor
Hills, El Paso County, Colorado

1

Groundwater

Not
reported

Berretta et al. 2021

Widefield Water and Sanitation District,
Widefield, Colorado

Not
reported

Groundwater

2017

WWSD 2018

City of Stuart, Florida

4

Groundwater

2018

Aqueous Vets 2019

Pease International Tradeport Drinking
Water System, Portsmouth, New
Hampshire

Not
reported

Groundwater

2019

City of Portsmouth
2020

Horsham Water and Sewer Authority,
Horsham, Montgomery County,
Pennsylvania

0.14

Groundwater

2021

Boodoo 2018a;
Boodoo et al. 2019;
HWSA 2021

Warminster Municipal Authority,
Warminster, Pennsylvania

Not
reported

Not reported

Not
reported

Boodoo 2018a;
Boodoo 2018b

MGD = million gallons per day

3.3 Raw Water Quality Considerations

PFAS-selective IX resin is less sensitive to TOC than GAC (Berretta et al., 2021; Boodoo, 2018;
Lombardo et al., 2018). For IX, the greater concern is the presence of competing anions, such as

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nitrate, sulfate, bicarbonate, and chloride. PFAS-selective resins are designed to have higher
affinity for PFAS than these other anions. However, these anions can be present in drinking
water at concentrations many orders of magnitude higher than PFAS. Therefore, they can
compete with PFAS for available exchange sites on the resin (Ateia et al., 2019; Berretta et al.,
2021; Boodoo, 2021). Individual PFAS compounds also potentially compete with one another. In
extreme cases, as more of the resin's exchange sites become occupied by influent anions,
preferred anions in the influent can displace previously accumulated, less preferred anions. Such
cases can result in a phenomenon known as chromatographic peaking, where the treated
concentration of a less preferred anion exceeds its influent concentration (Clifford et al., 2011).
McCleaf et al. (2017) observed this phenomenon for carboxylate PFAS in column tests that
included both carboxylate and sulfonate PFAS in the influent.

In general, competition does not necessarily reduce the maximum removal effectiveness of the
resin for PFAS. Instead, it shortens the time to breakthrough, meaning more frequent resin
replacement may be required in the presence of competing anions, all other factors being equal.
Therefore, it should be possible to reliably manage the impact of competition among anions,
including the potential for chromatographic peaking, through piloting, selection of design
parameters, and operational monitoring. As discussed in Section 3.6.3, for purposes of estimating
national costs, EPA used a method to estimate bed life that explicitly includes consideration of
total influent PFAS concentration. The inclusion of total PFAS concentration is intended to
account for competition among PFAS compounds. The method to estimate bed life also is based
on data from experiments where other competing anions, specifically nitrate and sulfate, were
present in concentrations typical of drinking water.

3.4	Pre- and Post-Treatment Needs

In general, IX treatment can increase treated water corrosivity because of chloride ion addition
and/or carbonate along with bicarbonate removal (Gottleib and Watkins, 2012). For example,
Berlien (2003) reported this problem with a full-scale application of IX for perchlorate treatment.
However, for PFAS-selective resins specifically, one vendor reports that corrosivity effect is
limited to the first 200 BV of treatment for their product. During this initial period, pH in treated
water will decrease by 1 to 1.5 units; then the alkalinity and pH of the treated water returns to
normal (Boodoo, 2018b). In cases where increased corrosivity is a longer-term problem, it might
require post-treatment corrosion control or alterations to existing corrosion control.

3.5	Waste Generation and Residuals Management Needs

There are no known full-scale studies of spent resin from IX facilities specifically for the
removal of PFAS. In general, however, the characteristics and quantities of spent resin are
predictable. The spent resin contains the PFAS compounds and other anions removed from the
treated water. The generation rate of spent resin is a function of bed volume and replacement
frequency.

In IX processes removing more traditional contaminants (e.g., nitrate), the capacity of the spent
resin is often restored by rinsing the media with a concentrated chloride solution. However,
conventional regeneration solutions are not effective for restoring the capacity of PFAS-selective
resins (Liu and Sun, 2021). Therefore, in drinking water applications using PFAS-selective resin,
design engineers and IX vendors recommend a single-use approach where the spent resin is

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disposed and replaced with fresh resin (Anderson et al., 2021; Boodoo, 2018a; Lombardo et al.,
2018). Regeneration of selective resins may be possible using organic solvents (Boodoo, 2018a;
Zaggia et al., 2016) or proprietary methods (Woodard et al., 2017). These alternative
regeneration practices are generally practical or cost-effective only with very high influent
concentrations, such as in remediation settings (Anderson et al., 2021; Boodoo, 2018a).

Under current regulations, spent resin is typically incinerated (Boodoo, 2018b). The literature is
inconclusive regarding the fate of PFAS during incineration in general (USEPA, 2020) and there
are no studies specific to incineration of IX resin. Additional full-scale research might be needed
if future air quality regulations address PFAS emissions from incineration facilities. The results
of this research might necessitate changes to spent resin management practices. Future RCRA
hazardous waste regulations could also limit the available management options.

Although backwashing is not recommended for PFAS-selective resin (Berretta et al., 2021), IX
systems also intermittently generate a liquid residual in the form of spent rinse water. Because
the rinse follows immediately after fresh resin is installed, before the bed restarts service, it
should not contain target contaminants. Management options for spent rinse water include
discharge to surface water under a NPDES permit or discharge to a WWTP. When averaged over
the time between generation events, spent rinse water flow is relatively low. Instantaneous flow
during a rinse event, however, is much higher. Therefore, holding tanks might be advisable under
certain conditions (e.g., to prevent instantaneous flow from overwhelming the capacity of a
WWTP).

3.6 Critical Design Parameters

Critical design parameters that are specific to IX systems removing PFAS with selective resin
are:

•	EBCT

•	Vessel configuration (i.e., number of vessels in series)

•	Bed life

•	Residuals management options.

Section 3.5 discusses residuals management options. The sections below discuss EBCT, vessel
configuration, and bed life in more detail, including the data available in the literature for these
parameters. Section 7.3.1 identifies the specific values for each parameter used in EPA's cost
estimates. Values for other IX design parameters (e.g., loading rate, bed depth constraints, resin
density), while not specifically addressed here, are well documented for IX treatment in general.
EPA has no reason to expect a significant difference in these parameters for IX systems treating
PFAS compounds.

3.6.1 Empty Bed Contact Time

For a given set of site-specific conditions, there is a minimum EBCT required to produce water
of a target quality. EBCT, measured in minutes, is defined by the following equation:

Volume of Resin Bed

EBCT (in minutes) = —							

Volumetric Flow Rate (per minute)

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The minimum EBCT required varies depending on the specific contaminant treated, the required
contaminant removal percentage, the type of resin used, and other influent water characteristics
(e.g., the presence of competing chemical species). Limited data are available on the EBCT
employed at full-scale anion exchange systems that are purpose-built for PFAS removal. One
pilot system was later permitted for permanent operation using two vessels in series with a total
EBCT of 5.6 minutes (Boodoo et al., 2019). A common vendor recommendation is to use a total
EBCT of 3 to 6 minutes (Boodoo, 2019; Boodoo et al., 2019; Boodoo, 2018; Lombardo et al.,
2018).

3.6.2	Vessel Configuration

IX treatment systems with multiple vessels can be configured in series or in parallel. In a parallel
configuration, flow is divided equally among the vessels, each of which provides the design
EBCT. In a series (or lead/lag) configuration, water flow first through an initial vessel that serves
as a roughing vessel, then through subsequent vessels that serve as polishing vessels (Clifford et
al., 2011). Each vessel in the series typically has an equal EBCT such that the total EBCT of the
series provides the design EBCT. A series (or lead/lag) configuration serves the purpose of
treating a greater water volume than one vessel with similar bed volume. When resin in the
roughing vessel is spent, this resin is replaced and the polishing vessel moves to the start of the
series, becoming the roughing vessel. The use of vessels in series can allow the resin in the lead
vessel to reach greater exhaustion, increasing total capacity (Clifford et al., 2011). For larger
flow rates, systems can use a configuration that combines series and parallel operation (i.e.,
multiple trains in parallel, each train with contactors in series).

For PFAS removal, design engineers and vendors commonly recommend two vessels in series
(Anderson et al., 2012; Berretta et al., 2021; Boodoo, 2019; Boodoo et al., 2019; Boodoo, 2018;
Lombardo et al., 2018). Full-scale IX treatment systems for PFAS removal for which
configuration data are available use two vessels in series (Aqueous Vets, 2019; Boodoo et al.,
2019; WWSD, 2018). The schematic diagram (Figure 3-2) in Section 3.1 shows a system
configured to operate with vessels in series. A system designed for operation with vessels in
parallel (which is not typical for PFAS removal) would not require piping between the two anion
exchange units.

3.6.3	Bed Life

As discussed in Section 3.2.2, IX bed life depends on a number of factors. Designers should
select EBCT and vessel configuration to maximize bed life. Bed life data are not available for
full-scale IX exchange systems using PFAS-selective resins. Although bed life data from pilot
studies are available, comparing and synthesizing these data is complicated by variations in study
design (e.g., water quality, EBCT, type of resin). For certain pilot studies, the bed life data have
been presented, published, or otherwise provided to EPA, but are not from a peer-reviewed
publications (e.g., Boodoo, 2018a; Boodoo et al., 2019; Lombardo et al., 2018). In other cases,
the pilot study data reflect treatment of water with very high PFAS concentrations, more
reflective of remediation conditions than drinking water (Newman and Berry, 2019; Woodard et
al., 2017).

To develop a practical method of estimating bed life for purposes of estimating national costs for
IX, EPA used data from Zeng et al. (2020). These data are from RSSCTs of IX treating actual

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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groundwater, intended to simulate a full-scale EBCT of 3.3 minutes. The RSSCTs covered six
different water quality conditions (different groundwater sources) and two different PFAS-
selective resins. In each groundwater source, multiple PFAS compounds were present in
concentrations typical of PFAS-contaminated drinking water. PFAS compounds monitored in the
IX RSSCTs were: PFHxA, PFHpA, PFOA, PFNA,10 PFBS, PFHxS, and PFOS. EPA pooled the
data from the individual RSSCTs and used multiple linear regression to develop a model that
results in compound-specific bed life equations.

EPA recognizes that PFAS breakthrough curves are not linear. However, to develop the
equations, EPA specifically used the data from the last point of non-detection to the first instance
of complete breakthrough (or the end of the study, whichever came first). By limiting the data to
this range, EPA sought to characterize the portion of the breakthrough curve where bed life
changes rapidly with removal efficiency. This portion of the curve is most interest in selecting a
target bed life for purposes of cost estimating and is expected to be more approximately linear
than the curve overall. Figure 3-4 shows this concept graphically in relation to a typical
theoretical breakthrough curve.

to
>
o

£



Figure 3-4. Linear Bed Life Estimate in Relation to a Typical Breakthrough Curve

The resulting PFAS compound-specific bed life equations for IX take the following form:

BV,

contain,IX ~ ^PFAS ^ P^^^total ^R,IX ^ °^°^contam Bcontam,IX

10 EPA was not able to develop a breakthrough relationship for this compound.

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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Where:

•	BVContam,ix = IX bed life for a given PFAS contaminant in BV

•	PFAStotai = total influent concentration of PFAS compounds in ng/L

•	%Rcontam = target percent removal of a given PFAS as a decimal (e.g., 0.8, 0.95)

•	Apfas, Ar,ix, and BContam,ix are parameters derived in the regression analysis. Table 3-5
shows their estimated values.

Table 3-5. Estimated Parameter Values for IX Bed Life Equations

Parameter

IX Model Value

Apfas

-6.04

Ar

-198,242

BpEHxA

212,867

Bpfbs

439,515

BpRHpA

319,511

BpEHxS

439,515

BpFOA

390,787

Bpfos

439,515

The parameter values result in the following order of breakthrough from earliest to latest, given a
constant total influent PFAS concentration and target percent removal:

PFHxA > PFHpA > PFOA > PFBS = PFHxS = PFOS

This result is generally consistent with the typical expectation, as discussed in Section 3.2.2, that
carboxylates break through before sulfonates and shorter chain compounds break through before
longer chain compounds. The equations predict identical bed lives for the three sulfonate
compounds included in the analysis because the intercept terms for these compounds (Bpfbs,
Bpfhxs, and Bpfos) were not significantly different from each other statistically. All compounds
share the same slope term (Apfas) for total influent PFAS (in ng/L) and the same slope term (Ar)
for percent removal of the PFAS compound (as a decimal) and because specifying the model this
way results in a consistent order of breakthrough across the range of possible influent PFAS
values and percent removal values.

The model has an adjusted R2 of 0.71. The overall model and individual coefficients are
statistically significant. Although the effect of total PFAS concentration on bed life (Apfas) is
small, it remains statistically significant and is included in the model to account for competition
among PFAS compounds. Note that the equations are valid only up to a total influent PFAS of
7,044 ng/L, the maximum value in the data set used. Other competing anions, specifically nitrate
and sulfate, were present in the water sources studied and measured by Zeng et al. (2020).
However, the range of concentrations for these anions across the RSSCTs was not wide.
Therefore, EPA was not able to incorporate them into the IX bed life model. Also note that,
unlike the bed life model for GAC (see Section 2.6.3), data were not available to incorporate
HFPO-DA into the IX model.

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March 2024

Because the equations are based on pooled data, they reflect central tendency results under
varying water quality conditions. As such, the EPA believes they represent the best approach for
estimating national cost given the data currently available in the literature. However, these
equations should not be used in lieu of site-specific engineering analyses or pilot studies to guide
the design or operation of specific treatment systems.

The use of RSSCTs to predict IX performance for PFAS removal is a recent development (Najm
et al., 2021; Schaefer et al., 2019; Zeng et al., 2020), so there are no validated methods to scale
up from these bench-scale results. When RSSCTs are used to estimate the performance of GAC
for PFAS, there are concerns that the results may, in some cases, overestimate full-scale bed life
(Hopkins, 2021; Kempisty et al., 2019; Meng et al., 2021; Redding et al., 2019). To compensate
for the potential for similar overestimation concerns for IX, when applying the bed life
equations, EPA did not incorporate the increase in bed life that would be expected from
operating multiple vessels in series (see Section 3.6.2). Section 7.2.1 discusses this topic, and the
application of the bed life equations generally, in more detail.

3.7 References

Anderson, J., Meng, P., Sidnell, T., and Ross, I. 2021. Advances in Remediation of PFAS-
impacted Waters. In Kempisty, D.M. and Racz, L. (Eds.), Forever Chemicals: Environmental,
Economic, and Social Equity Concerns with PFAS in the Environment (pp. 189-209). CRC
Press. https://doi.Org/l0.1201/978100

Aqueous Vets. 2019. The City of Stuart, Florida Installs 4 MGD Ion Exchange System to
Address PFAS Contamination. AVP-0016 Rev.2 9/19/2019. Retrieved from

http://www.aqiieoiisvets.eom/uploads/9/8/8/7/98870448/av	as treatment svstem -

stua

Arevalo, E., Strynar, M., Lindstorm, A., McMillan, L., and Knappe, D. 2014. Removal of
Perfluorinated Compounds by Anion Exchange Resins: Identifying Effective Resin Regeneration
Strategies. AWWA Annual Conference and Exposition. Boston, MA.

Ateia, M., Maroli, A., Tharayil, N., and Karanfil, T. 2019. The overlooked short- and ultrashort-
chain poly- and perfluorinated substances: A review. Chemosphere, 220(2019), 866-882.

https://doi.Q-	i\ .chemosphere.2018.12.186

Berlien, M. J. 2003. La Puente Valley County Water District's Experience withlSEP
Presentation of Carollo Engineers, Inc. and Association of California Water Agencies.

Beixetta, C., Mallmann, T., Trewitz, K., and Kempisty, D.M. 2021. Removing PFAS from
Water: From Start to Finish. In Kempisty, D.M. and Racz, L. (Eds.), Forever Chemicals:
Environmental, Economic, and Social Equity Concerns with PFAS in the Environment (pp. 235-
253). CRC Press. https://doi.org/10.1201/9781Qi

Boodoo, F. 2021. Personal Communication (E-mail). June 7, 2021.

Boodoo, F. 2019. Personal Communication (E-mail). February 22, 2019.

43


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Boodoo, F., Begg, T., Funk, T., Kessler, T., Shaw, E., and Pickel, M. 2019. Polishing PFAS To
Non-Detect Levels Using PFAS Selective Resin. Water Online. Retrieved from:

https://www.wateronline.com/doc/polishing-pfas-to-non-detect-levels-using-pfas-selective-resin-
0001

Boodoo, F. 2018a. Short & Long Chain PFAS Removal to Non-Detect Level with Single-Use
PFA694EResin. Presentation by Purolite Corporation. Retrieved from:

https://docs.house.gov/meetim 11 11 * * '20180906/108649 t H \ ^ I I ill' _ ^ I ^ >906-
SD027.pdf

Boodoo, F. 2018b. Personal Communication (E-mail). July 12, 2018.

City of Portsmouth - Department of Public Works. 2019. Portsmouth Water System PFAS
Update. Retrieved from: https://www.citvofportsmouth.com/publicworks/water/portsmouth-

water-svstem-pfas-update

Clifford, D., Sorg, T.J., and Ghurye, G.L. 2011. Ion Exchange and Adsorption of Inorganic
Contaminants. In Edzwald, J.K. (Ed.), Water Quality & Treatment: A Handbook on Drinking
Water, Sixth Edition (pp. 12.1-12.97). American Waterworks Association.

Dixit, F., Barbeau, B., Mostafavi, S.G., and Madjid, M. 2020. Removal of legacy PFAS and
other fluorotelomers: Optimized regeneration strategies in DOM-rich waters. Water Research,
183(2020), 116098. https://doi.ore/10 J 016/i.watres.2010 I I 098

Dixit, F., Barbeau, B., Mostafavi, S.G., and Mohseni, M. 2021. PFAS and DOM removal using
an organic scavenger and PF AS-specific resin: Trade-off between regeneration and faster
kinetics. Science of the Total Environment, 754(2021), 142107.

https://doi.ou 10 101 /i.scitotenv.20-0 I IJ 10

Gottlieb, M.C. and Watkins, G.S. 2012. Ion Exchange Applications in Water Treatment. In
Randtke, S.J. andHorsley, M.B. (Eds.), Water Treatment Plant Design, Fifth Edition (pp. 14.1-
14.71). American Waterworks Association/American Society of Civil Engineers.

Hopkins, Z.R. 2021. Granular Activated Carbon Adsorption of Per- and Polyfluoroalkyl
Substances - from Scale-Up to Factors Affecting Performance. Doctoral Dissertation, North
Carolina State University. ProQuest Dissertations Publishing. 29004569.

Horsham Water and Sewer Authority (HWSA). 2021. PFAS Summary. Retrieved from:

https://www.horshamwater-sewer.com/pfas-summarv

Jent, H. 2020. Crews near completion on new ion-exchange treatment plant to purify water in
Security. The Gazette. Retrieved from: https://gazette.com/news/crews-near-completion-on-new-
ion-exchange-treatment-plant-to-purifv-water-in-securitv/article 2bf7d0ce-0410-1 1 eb-8776-

8306994433b3.html

Kempisty, D.M., Arevalo, E., Reinert, A., Edeback, V., Dickenson, E., Husted, C. Higgins, C.P.,
Summers, R.S., and Knappe, D.R.U. 2019. Adsorption ofper and polyfluoroalkyl acids from
ground and surface water by granular activated carbon. AWWA Water Quality Technology
Conference, Dallas, TX.

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Kumarasamy, E., Manning, I. M., Collins, L. B., Coronell, O., and Leibfarth, F. A. 2020. Ionic
Fluorogels for Remediation of Per-and Polyfluorinated Alkyl Substances from Water. ACS
Central Science, 2020(6), 487-492. https://dot.ore/10.1021 /acscentsci.9b01224

Liu, C. 2017. Removal ofPerfluorinated Compounds in Drinking Water Treatment: A Study of
Ion Exchange Resins and Magnetic Nanoparticles. Doctoral Dissertation, University of
Waterloo. Retrieved from http://hdl.handle.net/10012/12660

Lombardo, J., Berretta, C., Redding, A., Swanson, C., and Mallmann, T. 2018. Carbon and Resin
Solutions for PFAS Removal. Evoqua Water Technologies Webinar. March 6.

McCleaf, P., Englund, S., Ostlund, A., Lindegren, K., Wiberg, K., and Ahrens, L. 2017. Removal
Efficiency of Multiple Poly- and Perfluoroalkyl Substances (PFASs) in Drinking Water using
Granular Activated Carbon (GAC) and Anion Exchange (AE) Column Tests. Water Research,
120: 77-87. http://dx.doi.on 10 101 /j.watres.2017.04.057

Mohseni, M., Dixit, F., Barbeau, B. 2019. Optimized Regeneration Strategies for Ion Exchange
Resins During PFAS Removal from Natural Waters. AWWA Water Quality Technology
Conference. Dallas, TX.

Newman, B. and Berry, J. 2019. Case Study: Pilot Testing Synthetic Media and Granular
Activated Carbon for Treatment of Poly- and Perfluorinated Alkyl Substances in Groundwater.
In Kempisty, D.M, Xing, Y., and Racz, L. (Eds.), Perfluoroalkyl Substances in the Environment:
Theory, Practice, and Innovation. Taylor & Francis, https://doi.ors	3780429487125

Schaefer, C.E., Nguyen, D., Ho, P., Im, J., and LeBlanc, A. 2019. Assessing Rapid Small-Scale
Column Tests for Treatment of Perfluoroalkyl Acids by Anion Exchange Resin. Ind. Eng. Chem.
Res., 2019(58), 9701-9706. https://doi.ore/10.1021/acs.iecr.9b00858

U.S. Environmental Protection Agency (USEPA). 2021a. Drinking Water Treatability Database:
Perfluorooctanoic Acid. Retrieved from https://tdb.epa.eov/tdb/contaminant?id=10520

USEPA. 2021b. Drinking Water Treatability Database: Perfluorooctane Sulfonate. Retrieved
from https://tdb.epa.gov/tdb/contaminant?id=10940

USEPA. 2021c. Drinking Water Treatability Database: Per- and Polyfluoroalkyl Substances.
Retrieved from https://tdb.epa.gov/tdb/contaminant?id=l 1020

USEPA. 2020. Interim Guidance on the Destruction and Disposal of Perfluoroalkyl and
Polyfluoroalkyl Substances and Materials Containing Perfluoroalkyl and Polyfluoroalkyl
Substances. EPA-HQ-OLEM-2020-0527-0002.

Wang, R., Ching, C., Dichtel, W.R., and Helbling, D.E. 2020. Evaluating the Removal of Per-
and Polyfluoroalkyl Substances from Contaminated Groundwater with Different Adsorbents
Using a Suspect Screening Approach. Environmental Science and Technology Letters, 2020(7),
954-960. https://doi.ore/10 102 l/acs.estlett.0c00736

Woodard, S., Berry, J., and Newman, B. 2017. Ion exchange resin for PFAS removal and pilot
test comparison to GAC. Remediation, 27, 19-27. https://dot.ore/10.1002/ren

45


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Widefield Water and Sanitation District (WWSD). 2018. From Pilot to Full-Scale: A Case Study
for the Treatment ofPerfluorinated Compounds (PFCs) with Ion Exchange. AWWA Water
Quality Technology Conference, Toronto, ON, Canada.

Yan, B., Munoz, G., Sauve, S., and Liu, J. 2020. Molecular mechanisms of per- and
polyfluoroalkyl substances on a modified clay: a combined experimental and molecular
simulation study. Water Research, 184(2020), 116166.
https://doi.oi ^ 10 101 >/i.watres.20.0 I I I

Zeng, C., Atkinson, A., Sharma, N., Ashani, H., Hjelmstad, A., Venkatesh, K., and Westerhoff,
P. 2020. Removing per-and polyfluoroalkyl substances from groundwaters using activated
carbon and ion exchange resin packed columns. AWWA Water Science, 2(1), el 172.

http s: //dot. or e/10.1002/aws2.1172

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4.0	Reverse Osmosis and Nanofiltration (RO/NF)

4.1	Operating Principle

RO and NF are membrane processes that separate contaminants from drinking water. These
processes separate solutes such as PFAS compounds from solution by forcing the solvent to flow
through a membrane at a pressure greater than the normal osmotic pressure. In drinking water
treatment, these membranes are most often used in a spiral-wound configuration that consists of
several membrane envelopes, layered with feed spacers and rolled together in around a central
collection tube.

The membrane is semi-permeable, transporting different molecular species at different rates. The
application of pressure splits the influent water passing over the membrane into two streams:

•	Treated water or "permeate" that passes through the membrane layers along with solutes of
lower molecular weight into the central collection tube

•	Water containing higher molecular weight solutes that remains outside the membrane layers,
called "reject," "concentrate," or "brine."

"Recovery rate" and "rejection rate" are the percentages of influent water that are recovered as
permeate and lost as reject, respectively.11 Figure 4-1 is a conceptual diagram of this process as
applied to water containing PFAS.

Influent llm™»	Treated water (permeate)

water IWHL JMwI	~75 to 85% of influent water (recovery rate)

Reject, concentrate, or brine

~15 to 25% of influent water (rejection rate)

Membrane	• PFAS

Figure 4-1. Conceptual Diagram of the RO Treatment Process

Specific membranes differ in the size of dissolved contaminants they can remove. In general, RO
membranes are effective for smaller contaminants than NF membranes. However, even within
the categories of RO and NF, individual membranes from different manufacturers vary in the
minimum size and weight of contaminants they reject, as shown in Table 4-1. Membranes that
remove smaller contaminants require higher feed pressure. Feed pressures for NF membranes are
typically in the range of 50 to 150 pounds per square inch (psi). Feed pressures for RO
membranes are in the range of 125 to 300 psi in low pressure applications targeting relatively
large contaminants (such as PFAS compounds) but can be as high as 1,200 psi in applications
such as seawater desalination (Bergman et al., 2012; USEPA, 2022c). As discussed in Section
4.2.1, both RO and NF membranes have the capacity to remove PFAS.

11 Note that recovery and rejection rates are not directly related to removal efficiency, which is the percentage of influent PFAS
removed from the treated water.

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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Table 4-1. Minimum Effective Ranges for RO/NF Membranes

Technology	Contaminant Size (microns)	Contaminant Molecular Weight (g/mol)

RO	0.0001 to -0.0015	<100 to -200

NF	0.001 to-0.006	200 to 1,000

~ = approximately; g/mol = grams per mole; NF = nanofiltration; RO = reverse osmosis
Sources: Bergman et al., 2012; DuPont, 2021; Duranceau and Taylor, 2011

A treatment system using RO or NF will employ multiple membrane elements, placed within a
pressure vessel. To achieve a high recovery rate and contaminant removal efficiency, these
pressure vessels often are arranged in sequential stages, typically up to three depending on the
recovery to be achieved (Bergman et al., 2012; DuPont, 2021). When multiple stages are used,
the number of pressure vessels decreases from stage to stage. Treated permeate is collected from
each pressure vessel. The concentrate from the first membrane stage serves as the feed to the
second and the concentrate from the second stage serves as the feed to the third. Consequently,
each successive stage of the process increases the total system recovery. As the feed water
travels through the membrane system and becomes more concentrated, its osmotic pressure
increases. The feed pressure must overcome this osmotic pressure. The final concentration in the
concentrate therefore has a major effect on the required feed pressure and energy use.

The membrane stages in combination make up an RO treatment train. A treatment system may
have multiple trains. Figure 4-2 provides a schematic drawing for an RO treatment facility; each
rectangular box within a train represents a pressure vessel that contains multiple membrane
elements. An NF treatment facility would be nearly identical, with the primary difference being
the type of membranes used and the operating pressures.

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Pretneatment
System

T

Influent

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4, (3)"

_{Xj	p. T reafed Water

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O

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F rom RO Skids



To
Discharge

-0

From RO Skids

ri$3-

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Optional equipment not shewn:

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chemicals

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Typical Schematic Layout

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Figure 4-2. Typical Schematic Layout for RO/NF

4.2 Effectiveness for PFAS Removal
4.2.1 Removal Efficiency

EPA's Drinking Water Treatability Database (USEPA, 2021a; 2021b; 2021c) includes extensive
data from the literature on PFAS removal by RO and NF. Results are available from studies
conducted in the laboratory, in the field at pilot scale, and in full-scale application, as shown in
Table 4-2, Table 4-3, and Table 4-4.12 These tables present the number of studies at each scale,
along with a key benchmark of technology effectiveness: maximum removal efficiency.
Removal efficiency is the percentage of the influent concentration removed through treatment.

12 Data shown in these tables are as of December 2021. EPA frequently updates the Drinking Water Treatability Database, so
parties interested in results from recently published literature may wish to access the database directly at
https: // tdb. ev>a. go v/tdb/home.

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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Table 4-2. Studies of RO/NF Treatment for Carboxylate PFAS

PFAS
Compound

Number
of

Carbons

Number
of Bench
Studies

Number
of Pilot
Studies

Number
of Full-

scale
Studies

Maximum

NF
Removal
Efficiency

Maximum

RO
Removal
Efficiency

Source(s) for Maximum
Removal Efficiency

PFBA

4

2

1

2

99

99.9

Lipp et al. 2010

PFPeA

5

2

3

2

>99

>99

Horst et al. 2018; Liu et
al. 2021; Dickenson and
Higgins 2016

PFHxA

6

3

4

4

>98

99.2

Liu et al. 2021

PFHpA

7

1

2

3

99

>99

Steinle-Darling et al.
2008; Liu et al. 2021

PFOA

8

4

4

5

99.9

99.9

Boonya-Atichart et al.
2016; Lipp et al. 2010

PFNA

9

2

1

4

99

>98

Steinle-Darling et al.
2008; Dickenson and
Higgins 2016; Appleman
et al. 2014

PFDA

10

2

0

4

99

>99

Steinle-Darling et al.
2008; Dickenson and
Higgins 2016; Appleman
et al. 2014

PFUnA

11

1

0

2

99

>77

Steinle-Darling et al.
2008; Dickenson and
Higgins 2016; Appleman
et al. 2014

PFDoA

12

0

0

2



>87

Dickenson and Higgins
2016; Appleman et al.
2014

- = no data; NF = nanofiltration; RO = reverse osmosis
Sources: USEPA, 2021a; 2021c









Table 4-3.

Studies of RO/NF Treatment for Sulfonate PFAS





PFAS
Compound

Number
of

Carbons

Number
of Bench
Studies

Number
of Pilot
Studies

Number
of Full-

scale
Studies

Maximum

NF
Removal
Efficiency

Maximum

RO
Removal
Efficiency

Source(s) for Maximum
Removal Efficiency

PFPrS

3

0

1

0

>98

>99

Liu et al. 2021

PFBS

4

3

4

3

99.8

99.8

Lipp et al. 2010

PFPeS

5

0

1

0

>98

>99

Liu et al. 2021

PFHxS

6

2

4

4

>99

>99

Appleman et al. 2013;
Thompson et al. 2011;
Liu et al. 2021

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

PFAS
Compound

Number
of

Carbons

Number
of Bench
Studies

Number
of Pilot
Studies

Number
of Full-

scale
Studies

Maximum

NF
Removal
Efficiency

Maximum

RO
Removal
Efficiency

Source(s) for Maximum
Removal Efficiency

PFHpS

7

0

1

0

>98

>99

Liu et al. 2021

PFOS

8

6

4

5

>99.9

99.9

Lipp et al. 2010; 2163

PFDS

10

1

0

0

99

-

Steinle-Darling et al. 2008

- = no data; NF = nanofiltration; RO = reverse osmosis
Sources: USEPA, 2021b; 2021c









Table 4-4. Studies of RO/NF Treatment for Other PFAS





PFAS
Compound

Number
of

Carbons

Number
of Bench
Studies

Number
of Pilot
Studies

Number
of Full-

scale
Studies

Maximum

NF
Removal
Efficiency

Maximum

RO
Removal
Efficiency

Source(s) for Maximum
Removal Efficiency

PFMOAA

3

0

1

0

-

>98.5

CDM Smith 2018

PF02HxA

4

0

1

0

-

>80.8

CDM Smith 2018

PF030A

5

0

1

0

-

>67.2

CDM Smith 2018

FtS 6:2

6

1

2

1

99.5

>65.5

Steinle-Darling et al.
2008; CDM Smith 2018

HFPO-DA

6

0

1

0

-

>64.2

CDM Smith 2018

PFOSA

8

2

0

1

98.5

>13

Steinle-Darling et al.
2008; Dickenson and
Higgins 2016

N-

MeFOSAA

11

0

0

2

-

>84

Dickenson and Higgins
2016

N-EtFOSAA

12

0

0

2

-

>58

Dickenson and Higgins
2016

- = no data; NF = nanofiltration; RO = reverse osmosis
Source: USEPA, 2021c

The literature demonstrates RO and NF removal efficiencies in the high 90 percent range for
nearly all the carboxylate and sulfonate PFAS compounds for which data are available. The
literature also shows that the technology often removes these compounds to levels below
analytical detection limits. For PFOA and PFOS, maximum removal efficiencies are greater than
99 percent to levels lower than the regulatory thresholds currently under consideration. There are
fewer studies of RO/NF performance for other (non-carboxylate and non-sulfonate) PFAS
compounds. The apparently low removal values for these other PFAS compounds (e.g., greater
than 64.2 percent removal for HFPO-DA) are an artifact of low influent levels relative to the
detection or quantitation limits. As discussed below, higher removals than the values shown in
Table 4-3 could be achievable for other PFAS that are similar in size and weight to the
carboxylate and sulfonate compounds.

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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PFAS removal efficiency for specific membranes appears to be closely related to the
characteristics of the membrane relative to the molecular weight of the target compound. For
example, Yu et al. (2016) found only 55 percent removal of PFOS by a membrane with a
membrane with a molecular weight cutoff (MWCO) of 1,000 grams per mole (g/mol), which is
larger than the molecular weight of PFOS (500.13 g/mol). In the same study, a membrane with
an MWCO of 200 g/mol achieved 95.5 to 97 percent removal of PFOS. Appleman et al. (2013)
and Steinle-Darling and Reinhard (2008) also observed the effect of molecular weight on PFAS
removal by NF, finding somewhat lower removal of lower molecular weight, shorter chain PFAS
than higher molecular weight, longer chain PFAS. Accordingly, PFAS removal efficiency by NF
membranes is not expected to vary substantially by functional group or chain length except to the
extent that these factors influence molecular size and weight. RO membranes have a lower
MWCO than NF membranes, often less than 100 g/mol (DuPont, 2021). Therefore, RO removal
efficiency also is not expected to vary substantially by functional group or chain length. In
addition, unlike GAC and IX, RO and NF do not exhibit "breakthrough" behavior. That is,
removal efficiency tends to be steady-state and does not vary over time.

4.2.2 Full-Scale Applications

Two drinking water systems, in North Carolina (Dowbiggin et al., 2021) and Alabama (Wetzel,
2021; WHNT News, 2019), recently constructed full-scale treatment plants using low-pressure
(or "loose") RO. These are the first two treatment plants utilizing membrane technology
specifically targeted at PFAS removal from drinking water. Although performance data are not
yet available from these facilities, the effectiveness studies enumerated in Section 4.2.1 include
results from full-scale facilities using membrane separation to treat other contaminants.

4.3	Raw Water Quality Considerations

In general, water quality affects the design (e.g., concentrate volume, cleaning frequency,
antiscalant selection) of RO and NF systems, but not removal efficiency. The literature
specifically for PFAS removal by membranes supports this conclusion. For example, Appleman
et al. (2013) found that the effectiveness of NF for PFAS removal was not impaired by the
presence of humic acid. Similarly, Steinle-Darling and Reinhard (2008) found that ionic strength
did not have a significant effect on removal performance. Although these authors noted a
significant effect from pH, this effect was observed at pH 2.8, substantially lower than typical
drinking water influent. Boonya-Atichart et al. (2016) found no significant effect within a more
typical range of pH (5.5 to 10). Although they observed a slight decrease in effectiveness with
increasing total dissolved solids, this effect was not significant.

4.4	Pre- and Post-Treatment Needs

In general, pretreatment requirements for membrane technologies depend on influent water
quality as well as the type of membrane used. Most RO and NF processes include a prescreen or
cartridge filter to remove sediment that could damage the membranes. RO and NF membranes
also often require pre-treatment acid or antiscalant addition for scaling control (Bergman et al.,
2012; Duranceau and Taylor, 2011). Pretreatment requirements, however, typically are
independent of the specific contaminant targeted for removal. Calculations such as the silt
density index (SDI), found in ASTM standard D4189, can provide insight into the fouling
problems that are inherent in any membrane system (Bergman et al., 2012; Duranceau and

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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Taylor, 2011). SDI measures the fouling potential of suspended solids. Manufacturers typically
specify maximum SDIs of 3 to 5 for RO and NF elements (Bergman et al., 2012). In addition, it
is important to model and conduct pilot studies to assess the potential for fouling from
substances such as natural organic matter, calcium carbonate, silica, calcium fluoride, barium
sulfate, calcium sulfate, strontium sulfate, and calcium phosphate. The Langelier saturation index
(LSI), described in ASTM standard D3738, characterizes the potential for CaCCb scaling. The
LSI is used to indicate the tendency of water to precipitate, dissolve, or be in equilibrium with
calcium carbonate, and what pH change is required to bring the water back to equilibrium
(Bergman et al., 2012). The scaling potential of other substances may be determined from a
saturation calculation. There is nothing unique about PFAS removal by RO/NF that suggests a
different relationship between the major water quality parameters and typical pretreatment and
cleaning requirements.

The permeate from RO and, in some cases, NF can be corrosive. The extent of this impact is site-
specific (Bergman et al., 2012). In other drinking water treatment applications, the permeate is
often blended with untreated water to produce a less corrosive finished water (Mickley, 2018). If
the source water has a sufficiently low concentration of PFAS and other contaminants, blending
may reduce post-treatment requirements. In instances where blending is not possible, post-
treatment (e.g., sodium hydroxide or lime addition) can be required to control corrosion impacts
(Lipp et al., 2010).

4.5 Waste Generation and Residuals Management Needs

There are no full-scale studies of residuals from RO or NF facilities specifically for the removal
of PFAS. In general, however, the characteristics of membrane concentrates are predictable, and
handling and treatment options are well understood. This waste stream contains the PFAS
compounds and other dissolved solids removed from the treated water. The two full-scale
facilities identified in Section 4.2.2 are designed for recovery rates of 85 to 92 percent
(Dowbiggin et al., 2021; Wetzel, 2021; WHNT News, 2019), which means that concentrate
flows at these facilities would account for 8 to 15 percent of influent (i.e., 100 percent minus the
recovery rate). Assuming these facilities achieve 95 percent removal efficiency, PFAS
concentrations in this waste stream would be approximately 6 to 12 times the concentration in
influent water.13

For disposal of membrane concentrate, most systems use surface water discharge or discharge to
sanitary sewer. Deep well injection is common in Florida. A small percentage of systems use
land application, evaporation ponds, or recycling (Mickley, 2018). The large volume of residuals
is a well-known obstacle to adoption of membrane separation technology, in general. In the case
of PFAS removal, the high PFAS concentration in the residuals might limit the disposal options
or require additional treatment prior to disposal, depending on state and local discharge
regulations.

Studies specific to treatment of concentrate containing PFAS currently are limited to lab- or
pilot-scale (Franke et al. 2021; Tow et al., 2021). The Alabama facility identified under Question
4.2.1 initially planned to treat membrane concentrate through its existing GAC filters prior to

13 The concentration in the reject stream can be calculated as the concentration in influent times the removal efficiency, divided
by the rejection rate. In this example, 0.95 / 0.15 = 6.33 and 0.95 / 0.08 = 11.88.

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discharge (WHNT News, 2019). More recent reports (Wetzel, 2021) do not address concentrate
treatment at this facility. The North Carolina facility includes the construction of a discharge
pipeline to a point "several miles" away, downstream of any drinking water intakes (Dowbiggin
etal.,2021).

Periodic cleaning of the membrane system is necessary to recover productivity lost to fouling.
This cleaning may include cycles of acid and caustic wash, depending on the nature of the
fouling. Since the spent cleaning solution is generated infrequently and in small amounts, it is
typically diluted by and handled with the concentrate.

4.6 Critical Design Parameters

Critical design parameters for membrane systems removing PFAS are:

•	Pretreatment and cleaning requirements

•	Membrane type

•	Flux rate

•	Recovery rate

•	Residuals management options.

As discussed in Section 4.4, assumptions about pretreatment requirements and cleaning
procedures, in general, are determined based on major water quality parameters, such as hardness
parameters, chloride, sulfate, silica, pH, SDI, and total dissolved solids. They typically are not
affected by trace contaminant influent concentrations or removal requirements. There is nothing
unique about PFAS removal by membrane separation that suggests a different relationship
between the major water quality parameters and typical pretreatment and cleaning requirements.
Section 4.5 discusses residuals management options. The sections below discuss membrane type,
flux rate, and recovery rate in more detail, including the range of values reported in the literature
for these parameters. Section 7.4 identifies the specific values for each parameter used in EPA's
cost estimates.

4.6.1	Membrane Type

As discussed in Section 4.2.1, both RO and NF membranes can be effective at removing PFAS
compounds. More specifically, RO membranes shown to be effective include those in the
"loose" or low-pressure end of the RO category (Dowbiggin et al., 2021; Lipp et al., 2010). NF
membranes shown to be effective are at the "tight" or low MWCO end of that category
(Appleman et al., 2013; Steinle-Darling and Reinhard, 2008; Yu et al., 2016). The two current
full-scale membrane system specifically designed for PFAS treatment both utilize RO
membranes (Dowbiggin et al., 2021; Wetzel, 2021).

4.6.2	Flux Rate

The flux of an RO/NF system is the rate of permeate water per unit of membrane area, typically
measured in gallons per square foot per day (gfd). While each stage of a membrane system will
have a different flux, the average flux over all elements is a fundamental design parameter. In
general, the higher the quality of the feed water, the higher the flux that may be achieved.
Operating with excessively high flux, however, leads to fouling of the membrane elements.
Depending on the nature of the fouling, it may be reversed by cleaning, or may require

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replacement of the elements. As shown in Table 4-5, flux values found in the literature range
from 6 to 44 gfd including bench scale studies. Data are not available for the flux rate employed
at the two full-scale RO facilities constructed specifically for PFAS removal. Dickenson and
Higgins (2016) report full-scale flux rates of approximately 12 gfd, but these are for potable
reuse facilities. Bench-scale studies (Appleman et al., 2013; Lipp, 2010) show that RO and NF
remain effective for PFAS removal at higher flux rates.

Table 4-5. Flux Rates for PFAS Treatment Reported in the Literature

Study Scale and
Membrane Type

Source Water

Flux (gfd)

Source

Full Scale RO

WWTP

12

Dickenson and Higgins, 2016

Full Scale RO

WWTP

11.6

Dickenson and Higgins, 2016

Bench Scale NF

Lab

10 to 44

Appleman et al., 2013

Bench Scale RO

Lab

17.6 to 23.5

Lipp et al., 2010

Bench Scale NF

Lab

6 to 41

Lipp et al., 2010

gfd = gallons per square foot per day; NF = nanofiltration; RO = reverse osmosis; WWTP = potable reuse facility receiving water
from wastewater treatment plant

4.63 Recovery Rote

As discussed in Section 4.1, the recovery rate is the percentage of the influent flow that is
recovered as permeate. Increasing the recovery rate will increase the concentration of dissolved
solids in the membrane reject water and will thus increase the required feed pressure and the
potential for membrane scaling. Thus, the achievable recovery rate depends on the quality of the
source water as well as the pretreatment of the water, and systems with high levels of total
dissolved solids in their feed water will typically operate at lower recovery rates than systems
with lower levels. As shown in Table 4-6, recovery rates found in the literature range from 78 to
92 percent.

Table 4-6. Recovery Rates for PFAS Treatment Reported in the Literature

Study Scale and
Membrane Type

Source Water

Recovery Rate

Source(s)

Full Scale RO

WWTP

85%

Thompson et al., 2011

Full Scale RO

WWTP

85%

Dickenson and Higgins, 2016

Full Scale RO

WWTP

80%

Dickenson and Higgins, 2016

Full Scale RO

Surface

90%

Wetzel, 2021; WHNT News, 2019

Pilot Scale NF

Ground

78%

Franke et al., 2019

Full Scale RO

Surface

85 to 92%

Dowbiggin et al., 2021

Bench Scale NF

Ground

84%

Boonya-Atichart et al., 2016

NF = nanofiltration; RO = reverse osmosis; WWTP = potable reuse facility receiving water from wastewater treatment plant

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4.7 References

Appleman, T.D., Dickenson, E.R.V., Bellona, C., and Higgins, C.P. 2013. Nanofiltration and
granular activated carbon treatment of perfluoroalkyl acids. Journal of Hazardous Materials,
260(2013), 740-746. http://dx.doi.org	ihazmat.2013.06.033

Appleman, T.D., Higgins, C.P., Quinones, Q., Vanderford, B.J., Kolstad, C., Zeigler-Holady,
J.C., and Dickenson, E.R.V. 2014. Treatment of poly- and perfluoroalkyl substances in U.S. full-
scale water treatment systems. Water Research, 51(2014), 246-255.

http://dx.doi.org 10 101 t.watres _0l '> 10 067

Bergman, R.A., Garcia-Aleman, J., and Morgan, R. 2012. Membrane Processes. In Randtke, S.J.
and Horsley, M.B. (Eds.), Water Treatment Plant Design, Fifth Edition (pp. 15.1-15.61).
American Water Works Association/American Society of Civil Engineers.

Boonya-Atichart, A., Boontanon, S. K., and Boontanon, N. 2016. Removal of perfluorooctanoic
acid (PFOA) in groundwater by nanofiltration membrane. Water Science and Technology, 74
(11), 2627-2633. https://doi.ore/10.2166/wst.2016.434

CDM Smith. 2018. Advanced Treatment Options for the Northwest Water Treatment Plant. Final
Report. Prepared for Brunswick County Public Utilities.

Dickenson, E.R.V. and Higgins, C. 2016. Treatment Mitigation Strategies for Poly- and
Perfluoroalkyl Substances. Web Report #4322. Water Research Foundation.

Dowbiggin, B., Treadway, J., Nichols, J. and Walker G. 2021. Exploring Treatment Options for
PFAS Removal in Brunswick County, North Carolina. JournalAWWA, 113(4), 10-19.

https://doi.ore/! 0.1002/awwa. 1705

DuPont. 2021. FilmTec™ Reverse Osmosis Membranes Technical Manual. Version 10.
Retrieved from https://www.dupont.com/content/dam/dupont/amer/us/en/water-
solutions/public/documents/en/RO-NF-FilmTec-Manual-45-D01504-en.pdf

Duranceau, S.J. and Taylor, J.S. 2011. Membranes. In Edzwald, J.K. (Ed.), Water Quality &
Treatment: A Handbook on Drinking Water, Sixth Edition (pp. 11.1-11.106). American Water
Works Association.

Franke, V., Ullberg, M., McCleaf, P., Walinder, M., Kohler, S.J., and Ahrens, L. 2021. The Price
of Really Clean Water: Combining Nanofiltration with Granular Activated Carbon and Anion
Exchange Resins for the Removal of Per- And Polyfluoralkyl Substances (PFASs) in Drinking
Water Production. ACSES&T Water, 2021(1), 782-795.

https ://doi. ore/10.1021 / acsestwater. OcOO 141

Horst, J., McDonough, J., Ross, I., Dickson, M., Miles, J., Hurst, J., and Storch, P. 2018. Water
Treatment Technologies for PFAS: The Next Generation. Groundwater Monitoring &
Remediation, 38(2), 13-23. https://doi.oo	;wmr. 12281

Lipp, P., Sacher, F., and Baldauf, G. 2010. Removal of organic micro-pollutants during drinking
water treatment by nanofiltration and reverse osmosis. Desalination and Water Treatment,
13(2010), 226-237. http://doi.ore/10.5004/dwt.2 63

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Liu, C.J., Strathmann, T.J. and Bellona, C. 2021. Rejection of per- and polyfluoroalkyl
substances (PFASs) in aqueous film-forming foam by high-pressure membranes. Water
Research, 188(2021), 116546. https://doi.org/10.1016/i.watres.202^ l l "'46

Mickley, M. 2018. Updated and Extended Survey of U.S. Municipal Desalination Plants.
Desalination and Water Purification Research and Development Program Report No. 207. U.S.
Department of the Interior, Bureau of Reclamation.

Steinle-Darling, E., and Reinhard, M. 2008. Nanofiltration for Trace Organic Contaminant
Removal: Structure, Solution, and Membrane Fouling Effects on the Rejection of
Perfluorochemicals. J. Environ. Sciences, 42, 5292-5297. https://doi.(	l/es703207s

Thompson, J., Eaglesham, G., Reungoat, J., Poussade, Y., Bartkowf, M., Lawrence, M. and
Mueller, J.F. 2011. Removal of PFOS, PFOA and other perfluoroalkyl acids at water reclamation
plants in South East Queensland Australia. Chemosphere, 82(2011), 9-17.

https://doi.oi\ 10 101 /i.chemosphere JO 10 10 0 10

Tow, E.W., Ersan, M.S., Kum, S., Lee, T., Speth, T.F., Owen, C. Bellona, C., Nadagouda, M.N.,
Mikelonis, A.M., Westerhoff, P., Mysore, C., Frenkel, V.S., DeSilva, V., Walker, S.W., Safulko,
A.K., and Ladner, D.A. 2021. Managing and treating per- and polyfluoroalkyl substances
(PFAS) in membrane concentrates. AWWA Water Science, 3(5), el233.
https ://doi. ore/10.1002/aws2.1233

U.S. Environmental Protection Agency (USEPA). 2021a. Drinking Water Treatability Database:
Perfluorooctanoic Acid. Retrieved from https://tdb.epa.gov/tdb/contaminant?id=10520

USEPA. 2021b. Drinking Water Treatability Database: Perfluorooctane Sulfonate. Retrieved
from https://tdb.epa.gov/tdb/contaminant?id=10940

USEPA. 2021c. Drinking Water Treatability Database: Per- and Polyfluoroalkyl Substances.
Retrieved from https://tdb.epa.gov/tdb/contaminant?id=l 1020

Wetzel, M. 2021. Reverse osmosis filtration facility near completion. The Moulton Advertiser.
Retrieved from: https://www.moiiltonadvertiser.com/news/articte dc\7: I >% I I -fabf-1 leb-NO I f
c3b7ff0b4dc4.html

WHNT News. 2019. WMEL water authority approves $30.5 million contract for Reverse
Osmosis treatment system. Nexstar Media Inc. Retrieved from: https://whnt.com/news/wmel-
water-authoritv-approves-30-5~million-contract-for-reverse-osmosis~treatment~svstem/

Yu, Y., Zhao, C., Yu, L., Li, P., Wang, T., and Xu, Y. 2016. Removal of perfluorooctane
sulfonates from water by a hybrid coagulation-nanofiltration process. Chemical Engineering
Journal, 289(1), 7-16. https://doij	xi.2015.12.048.

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5.0	Point-of-Use/Point-of-Entry Treatment

5.1	Operating Principle

A POU/POE device uses a miniaturized version of a centralized treatment process to meet water
quality standards at the household level. POU devices are sized to treat water for consumption at
individual taps (e.g., a kitchen sink). POE devices are designed to treat water where the service
line enters the house (e.g., in the basement). When a system installs, controls (i.e., owns), and
maintains POU/POE devices at all customer locations where water is consumed (e.g.,
residences), it can forego centralized treatment (USEPA, 2006). Because POU/POE devices treat
a fraction of the water delivered by a system, a compliance program that relies on POU/POE
devices may be more cost-effective for smaller systems.

The NSF14 committee of stakeholders has updated the NSF/American National Standards
Institute (NSF/ANSI) standards applicable to POU/POE devices to incorporate requirements for
PFAS removal. To be certified under the standards a device must reduce the total concentration
of PFOA and PFOS to below 70 ng/L (NSF International, 2019). Several organizations (e.g.,
NSF International, Underwriters Laboratories, Water Quality Association) provide third-party
testing and certification that POU/POE devices meet drinking water treatment standards.

The discussion in this section focuses on POU/POE RO devices because these are the most
common type of device certified for PFAS removal. The operating principle for POU/POE RO
devices is the same as centralized RO: they separate solutes such as PFAS compounds from
solution by forcing the solvent to flow through a membrane at a pressure greater than the normal
osmotic pressure. In addition to an RO membrane for dissolved contaminant removal, POU/POE
RO devices often have a sediment pre-filter and a carbon filter in front of the RO membrane, a 3-
to 5-gallon treated water storage tank, and a carbon filter between the tank and the tap.

POU/POE devices are not currently a compliance option because the regulatory options under
consideration require treatment to concentrations below the current certification standard of 70
ng/L total of PFOA and PFOS. However, POU/POE treatment might become a compliance
option for small systems in the future if NSF/ANSI develop a new certification standard that
mirrors EPA's proposed regulatory standard. To meet a PFAS drinking water standard, a system
would need to purchase, install, and maintain certified devices for all customers. Usually, a
system would install a single POU RO device at the kitchen tap for each residential customer.
Nonresidential customers might require multiple POU devices (e.g., for drinking fountains) or a
single POE device. Installation requires retrofitting the device into existing plumbing fixtures
(e.g., tapping into the water supply line to insert a treated water line with a dedicated tap and
adding a wastewater connection for the RO membrane concentrate or reject). Maintenance
primarily consists of filter replacement, often on a fixed schedule that varies by filter type.
Monitoring water quality at individual treated water taps will also be necessary to demonstrate
compliance with a perchlorate drinking water standard.

14 Formerly National Sanitation Foundation

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5.2 Effectiveness for PFAS Removal

As discussed above, POU/POE devices certified under the current NSF/ANSI standards remove
PFOA and PFOS to a total of less than 70 ng/L. There is evidence in the literature that POU/POE
RO devices can achieve even lower concentrations. Patterson et al. (2019) tested three such RO
devices for removal of PFBS, PFHxS, PFHpA, PFOS, PFOA, and PFNA. The devices were
sized for POU use, but plumbed with additional equipment (storage tanks, booster pumps) to
simulate POE usage. Two of the devices removed each of the PFAS compounds tested to below
the quantitation limit (10 ng/L) throughout the test period. The third device removed the
compounds to below the quantitation limit except for one sampling event. During this sampling
event, which took place immediately upon startup after a five-day stagnation period, all the
PFAS compounds except PFBS were detected in the treated water at concentrations from 11 to
77 ng/L. The concentrations returned to levels below the quantitation limit during the next
sampling event four hours later. Additional support for the effectiveness of POU/POE programs
for PFAS removal is evident from the number of community-scale applications of the
technology, as listed in Table 5-1.

Table 5-1. Community-Scale Applications of POU/POE Treatment to Remove PFAS from
Drinking Water



Number of

POU/POE

Year of



Location

Households

Startup

Sources

Camp Grayling, Crawford County,
Michigan

Not reported

Not reported

2018

Michigan DEGLE 2021b

House Street Disposal Area, Belmont,
Kent County, Michigan

781

546 POE and
235 POU

2020

Michigan DEGLE 2021c

Alpena Combat Readiness Training
Center, Alpena County, Michigan

31

Not reported

Not reported

Michigan DEGLE 2021a

Former Washington County Landfill,

57

POE

2007

ATSDR 2008

Lake Elmo, Minnesota

Deepwater, Salem County, New Jersey

Not reported

Not reported

2011

Dunn 2011

Bennington and North Bennington,
Vermont

255

POE

2020

Danko 2018; VDEC 2020

Hoosick Falls, New York

>800

POE

Not reported

NYS DEC 2021

POE = Point-of Entry; POU = Point-of-Use

5.3 Raw Water Quality Considerations

Because the POU/POE RO devices will be installed at service taps that are downstream of a
system's entry point to the distribution system, EPA assumes that the raw water entering a
POU/POE RO device will be water that is suitable for consumption except for an exceedance of
the proposed perchlorate regulatory standard. As noted in the next section, POU/POE RO
devices include pre-filters to address potential interference of delivered water quality with RO
performance.

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5.4	Pre- and Post-Treatment Needs

POU/POE RO devices include various filters to address pre- and post-treatment concerns. Most
devices include a sediment filter for solids removal to prevent membrane fouling and a pre-RO
carbon filter to remove chlorine and organic compounds that could impair membrane function.
They also include a carbon filter after the membrane and storage tank to remove any organics
that may remain or bacterial growth that occurs during storage. Because the POU device is
installed at the tap, there are no potential adverse impacts on the distribution system.

5.5	Waste Generation and Residuals Management Needs

The treatment process waste comprises wastewater and used filter cartridges. Waste disposal
methods must comply with state and local requirements. The wastewater connection is generally
plumbed to the household sewer system, which uses either an on-site septic system or a
centralized wastewater collection system for disposal. Depending on state and local regulations,
the used cartridge filters may be included in household solid waste (USEPA, 2006).

5.6	Critical Design Parameters

EPA's cost estimates for POU/POE treatment programs assume the use of POU, as opposed to
POE, devices because ingestion is the primary route of concern for exposure to PFAS. In
addition to the POU devices themselves, there are several components to the design of a POU
program that are primary cost drivers. These include the following:

•	POU RO device installation

•	Public education program development

•	POU device monitoring

•	POU device maintenance.

Chapter 7 discusses each of these parameters in more detail and identifies the specific values for
each used in EPA's cost estimates.

5.7	References

Agency for Toxic Substances and Disease Registry (ATSDR). 2008. Perfluorochemical
Contamination in Lake Elmo Final Release and Oakdale, Washington County, Minnesota.
Retrieved from:

https://www.atsdr.cdc.gOv/HA.C/pha/PFCsLakeElmo/PFCs in Lake Elmo PHA 8-29-
2008 508.pdf

Gascoyne, J. 2018. 2018 PFAS Sampling Summary Report. ATC Group Services LLC. Retrieved
from:

https://anrweb.vt.gov/PubDocs/DEC/Hazsites/20184763.SVRA.2018.DW.SamplingSummarv.rp

t.pdf

Danko, A. 2018. Treatment Technologies for PFAS Site Management. Retrieved from:

https://frtr.gov/pdf/meetings/novl8/presentations/handoiits/danko-handoiit.pdf

Michigan Department of Environment, Great Lakes, and Energy (DEGLE). 2021a. PFAS
Response and Investigations - Alpena County, Alpena, Alpena Combat Readiness Training

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Center (CRTC). Michigan PFAS Action Response Team. Retrieved from:

https://www.michigan.gOv/pfasfesponse/0.9038.7-365-	tml

Michigan DEGLE. 2021b. PFAS Response and Investigations - Crawford County, Grayling,
Camp Grayling - Lake Margrethe. Michigan PFAS Action Response Team. Retrieved from:
https://www.michigan.gOv/pfasresponse/0.9038.7-365-86511 82704-488777—.QQ.html

Michigan Department of Environment, Great Lakes, and Energy (DEGLE). 2021c. PFAS
Response and Investigations - House Street Disposal Area, Belmont, Kent County. Michigan
PFAS Action Response Team. Retrieved from:

https://www.michigan.gOv/pfasresponse/0.9038.7-365-86511 82704 83030—.00.html

Dunn, P. 2011. DuPont settles suit over claims chemical tainted drinking water around Salem
County plant. Today's Sunbeam. Retrieved from:
https://www.ni.com/salem/2011/03/dupont settles suit over claim .html

NSF International. 2019. PFOA/PFOSReduction Claims Requirements Added toNSF Standards
for Drinking Water Treatment Devices. Retrieved from: https://www.nsf.org/news/pfoa-pfos-
reduction-claims-requirements-added-to-nsf-standards

New York State Department of Environmental Conservation (NYS DEC). 2021. Hoosick Falls
Area Information for Communities Impacted by Per- and Poly-fluorinated Aklyl Substances
(PFAS). Retrieved from: https://www.dec.ny.gov/chemical/108791.htm 1

Patterson, C., Burkhardt, J., Schupp, D., Krishnan, R., Dyment, S., Merritt, S., Zintek, L., and
Kleinmaier, D. 2018. Effectiveness of point-of-use/point-of-entry systems to remove per- and
polyfluoroalkyl substances from drinking water, A WW A Water Science, 1(2), el 131.
https://doi.org/l 0.1002/aws2.1131

Sullivan, M. 2018. Addressing Perfluorooctane Sulfonate (PFOS) and Perfluorooctanoic Acid
(PFOA). U.S. Department of Defense. Retrieved from:

https://denix.osd.mil/derp/home/documents/pfos-pfoa-briefing-to-the-hasc/

USEPA. 2006. Point-of-Use or Point-of-Entry Treatment Options for Small Drinking Water
Systems. Office of Ground Water and Drinking Water. EPA-815-R-06-010.

Vermont Department of Environmental Conservation (VDEC). 2020. Bennington PFAS
Sampling and Treatment System Maintenance Considering Ongoing COVID-19 Emergency.

Retrieved from: https://dec.vermont.gov/pfas/pfoa

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6.0	Nontreatment Alternatives

6.1	Application Principle

For small water utilities that lack the financial and/or technical capacity to implement a new
treatment-based compliance strategy, nontreatment options may offer a more cost-effective path
to compliance. Nontreatment options essentially replace the contaminated water source with
water that meets drinking water standards, including new standards for PFAS compounds.

Nontreatment solutions for drinking water compliance include the following (USEPA, 2006):

•	well rehabilitation

•	contaminant source elimination

•	new well construction

•	interconnecting with another system to purchase water.

The feasible nontreatment options will depend on site-specific circumstances such as system
size, source water type, contaminant reduction needs, and proximity to alternative water sources.
For small systems, neither well rehabilitation nor source elimination (e.g., remediation of PFAS-
contaminated soils or groundwater) is likely to be feasible and cost-effective. Another option -
blending water from existing wells - may be a feasible, low-cost option for systems that have
multiple wells including some with PFAS concentrations substantially below the new standards.
For systems that cannot blend water from existing sources to comply with the new PFAS
regulations, two feasible nontreatment options include the following:

1.	a new well to replace the contaminated source water

2.	interconnection to purchase water from a supplier.

These two options (new wells and interconnection) are likely to have higher costs than the other
options (well rehabilitation and source elimination) (USEPA, 2006).

The costs associated with drilling a new well include the initial hydrological assessment, pilot
hole drilling, developing the final well design, drilling the well bore, installing well casings,
screens, and filters, development of the well, and installation of the pump and power source
(Harter, 2003). A hydrological assessment identifies groundwater sources of suitable quality and
adequate long-term supply. When replacing an existing well, the costs will also include
connecting the well to the existing water distribution system.

The interconnection option involves laying a pipeline to connect the affected system to the
distribution network of a neighboring system that can provide adequate water that meets all
applicable drinking water standards. Costs include the cost of purchased water as well as
construction and maintenance of the interconnection pipeline. Pipeline costs will depend on
proximity of the neighboring system, topography of the distance to be covered, and right-of-way
requirements for pipes and booster pump stations.

6.2	Compliance Effectiveness

Nontreatment options achieve compliance by replacing a PFAS-contaminated water source with
an alternative water source that complies with the new PFAS regulations. This strategy is

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inherently compliant if the new water source is not at risk for PFAS contamination. If the
wholesale supplier of purchased water has PFAS contamination, it must implement an effective
treatment process because the water it sells must comply with the PFAS standard before it can be
distributed to the purchasing system.

Drinking water systems have successfully used nontreatment options to alleviate PFAS concerns.
In response to PFAS contamination near Peterson Air Force Base in Colorado, three water
districts turned off their wells and are purchasing surface water from another source (Sullivan,
2018). In March 2016, Fort Drum Public Works in New York took two drinking water wells out
of service following detection of PFAS. Fort Drum dug five new wells with a maximum capacity
of 2.2 MGD in August 2016 (Fort Drum, 2019).

6.3	Raw Water Quality Considerations

A system will need to determine whether the change in source water may affect other existing
treatment processes (e.g., chlorination), or if changes in water quality may affect the distribution
system (e.g., purchased water has a different pH). Changes in delivered water chemistry that
trigger major process additions or adjustments could diminish the cost-effectiveness of
nontreatment options.

6.4	Pre- and Post-Treatment Needs

By definition, there are no pre-treatment needs to consider with a change in source water. All
treatment adjustments to account for differences in source water quality would necessarily occur
after the point of source water connection. If the alternative water source has chemical
parameters that differ substantially from the original source water and may affect water quality
elsewhere in the system, then there may be additional treatment needs to adjust water chemistry.

6.5	Waste Generation and Residuals Management Needs

An interconnection or new well should not have incremental wastes or residuals requiring
management.

6.6	Critical Design Assumptions

For new wells, key design parameters are the following:

•	Total flow rate requirements and flow per well

•	Well depth (and screened depth)

•	Distance from well to distribution system.

For an interconnection option, key design parameters include:

•	Flow rate requirements

•	Distance to interconnection water supply

•	Pressure at water supply source

•	Cost of purchased water.

Chapter 7 discusses each of these parameters in more detail and identifies the specific values for
each used in EPA's cost estimates.

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6.7 References

Fort Drum Public Works (FDPW). 2019. 2018 Annual Drinking Water Quality Report. Retrieved
from:

https://home.army.mil/drum/application/files/8615/5535/5022/	urn AWQR.pdf

Harter, T. 2003. Water Well Design and Construction. University of California, Division of
Agricultural and Natural Resources.

Sullivan, M. 2018. Addressing Perjluorooctane Sulfonate (PFOS) and Perfluorooctanoic Acid
(PFOA). U.S. Department of Defense. Retrieved from:

https://denix.osd.mil/derp/home/dociiments/pfos-pfoa-briefine4o4he-hasc/

U.S. Environmental Protection Agency (USEPA). 2006. Technology and Cost Document for the
Final Ground Water Rule. EPA-815-R-06-015.

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7.0	Costs for Treatment and Nontreatment
Options

7.1	Introduction

7.1.1	Overview and Cost Modeling Approach

This chapter presents estimated costs for installing and operating the technologies and
nontreatment options discussed in Chapters 2 through 6. Based on the information in those
chapters, particularly the data on engineering design specifications, EPA developed work
breakdown structure (WBS) cost estimating models for each of the PFAS treatment technologies.
The WBS models are spreadsheet-based engineering models for individual treatment
technologies, linked to a central database of component unit costs. EPA developed the WBS
model approach as part of an effort to address recommendations made by the Technology Design
Panel (TDP), which convened in 1997 to review the Agency's methods for estimating drinking
water compliance costs (USEPA, 1997). The TDP consisted of nationally recognized drinking
water experts from the EPA, water treatment consulting companies, public and private water
utilities and suppliers, equipment vendors, and Federal and State regulators in addition to cost
estimating professionals.

In general, the WBS approach involves breaking a process down into discrete components for
the purpose of estimating unit costs. The WBS models represent improvements over past cost
estimating methods by increasing comprehensiveness, flexibility, and transparency. By adopting
a WBS-based approach to identify the components that should be included in a cost analysis, the
models produce a more comprehensive assessment of the capital and operating requirements for
a treatment system. The documentation for the individual WBS models (USEPA, 2024a; 2024b;
2024c; 2024d) provides complete details on the structure, content, and use of the models. EPA
used the WBS models to develop the costs presented in this chapter. The models and their
documentation can be accessed at: https://www.epa.gov/dwregdev/drinkine-water-treatment-
technology-unit-cost-models-and-overview-technologies.

The remainder of this section provides a brief overview of the common elements of all the WBS
models and information on the anticipated accuracy of the resulting cost estimates. Subsequent
sections describe how EPA used each individual technology specific WBS model to estimate
costs for PFAS treatment and present the resulting cost estimates.

7.1.2	Work Breakdown Structure (WBS) Models

Each WBS model contains the work breakdown for a particular treatment process and
preprogrammed engineering criteria and equations that estimate equipment requirements for
user-specified design requirements (e.g., system size and influent water quality). Each model
also provides unit and total cost information by component (e.g., individual items of capital
equipment) and totals the individual component costs to obtain a direct capital cost. Additionally,
the models estimate add-on costs (permits, pilot study, and land acquisition costs for each
technology), indirect capital costs, and annual operation and maintenance (O&M) costs, thereby
producing a complete compliance cost estimate.

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Primary inputs common to all the WBS models include design flow and average flow in million
gallons per day (MGD). Each WBS model has default designs (input sets) that correspond to
specified categories of flow, but the models can generate designs for many other combinations of
flows. To estimate costs for PFAS compliance, EPA fit cost curves to the WBS estimates for up
to 49 different flow rates.15 Thus, the cost estimates in Sections 7.2 through 7.5, and Appendix A
are in the form of equations.

Another input common to all the WBS models is "component level" or "cost level." This input
drives the selection of materials for items of equipment that can be constructed of different
materials. For example, a low-cost system might include fiberglass pressure vessels and PVC
piping. A high-cost system might include stainless steel pressure vessels and stainless-steel
piping. The component level input also drives other model assumptions that can affect the total
cost of the system, such as building quality and heating and cooling. The component level input
has three possible values: low cost, mid cost, and high cost. To estimate costs for PFAS
treatment, EPA generated separate cost equations for each of the three component levels, thus
creating a range of cost estimates for use in national compliance cost estimates.

The third input common at all the WBS models is system automation, which allows the design of
treatment systems that are operated manually or with varying degrees of automation (i.e., with
control systems that reduce the need for operator intervention). The cost estimates in the
technology-specific sections below are for systems that are fully automated, minimizing the need
for operator intervention and reducing operator labor costs.

The WBS models generate cost estimates that include a consistent set of capital, add-on, indirect,
and O&M costs. Table 7-1 identifies these cost elements, which are common to all the WBS
models and included in the cost estimates below. Sections 7.2 through 7.5 identify the
technology-specific cost elements included in each model. The documentation for the WBS
models (USEPA, 2024a; 2024b; 2024c; 2024d) provide more information on the methods and
assumptions used in the WBS models to estimate the costs for both the technology-specific and
common cost elements.

15 Specifically, for each scenario modeled and separately for total capital and for O&M costs, EPA fit up to three curves: one
covering small systems (less than 1 MGD design flow), one covering medium systems (1 MGD to less than 10 MGD design
flow), and one covering large systems (10 MGD design flow and greater). For each curve fit, EPA chose from among several
possible equation forms: linear, quadratic, cubic, power, exponential, and logarithmic. EPA chose the form that resulted in the
best correlation coefficient (R2), subject to the requirement that the equation must be monotonically increasing over the
appropriate range of flow rates (i.e., within the flow rate category, the equation must always result in higher estimated costs for
higher flow systems than for lower flow systems).

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Table 7-1. Cost Elements Included in All WBS Models

Cost Category

Components Included

Direct Capital

• Technology-specific equipment (e.g., vessels, basins, pumps, treatment media, piping,

Costs

valves)



• Instrumentation and system controls



• Buildings



• Residuals management equipment

Add-on Costs

• Land



• Permits



• Pilot testing

Indirect Capital

• Mobilization and demobilization

Costs

• Architectural fees for treatment building



• Equipment delivery, installation, and contractor's overhead and profit



• Sitework



• Yard piping



• Geotechnical



• Standby power



• Electrical infrastructure



• Process engineering



• Contingency



• Miscellaneous allowance



• Legal, fiscal, and administrative



• Sales tax



• Financing during construction



• Construction management

O&M Costs:

• Operator labor for technology-specific tasks (e.g., managing backwash and media

Technology-

replacement)

specific

• Materials for O&M of technology-specific equipment

• Technology-specific chemical usage



• Replacement of technology-specific equipment that occurs on an annual basis (e.g.,



treatment media)



• Energy for operation of technology-specific equipment (e.g., mixers)

O&M Costs:

• Operator labor for O&M of process equipment

Labor

• Operator labor for building maintenance



• Managerial and clerical labor

O&M Costs:

• Materials for maintenance of booster or influent pumps

Materials

• Materials for building maintenance

O&M Costs:

• Energy for operation of booster or influent pumps

Energy

• Energy for lighting, ventilation, cooling, and heating

O&M Costs:

• Residuals management operator labor, materials, and energy

Residuals

• Residuals disposal and discharge costs

In addition to costs, the models also output an estimated useful life, in years, for each WBS
component. The useful lives vary by component type (e.g., buildings generally last longer than
mechanical equipment) and by material (e.g., steel tanks generally last longer than plastic tanks).
The models use the component useful lives to calculate an average useful life for the entire
system. The calculation uses a reciprocal weighted average approach, which is based on the
relationship between a component's cost (C), its useful life (L) and its annual depreciation rate

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(A) under a straight-line depreciation method. The formula below shows the reciprocal weighted
average calculation:

N

IX r

Average Useful Life = —	= —

Z4, A

n=l

where:

Cn denotes the cost of component n, n=l to N
C denotes total cost of all N components

An denotes the annual depreciation for component n, which equals Cn/Ln
A denotes total annual depreciation for the N components.

7.1.3 WBS Model Accuracy

Costs for a given system can vary depending on site-specific conditions (e.g., raw water quality,
climate, local labor rates, and location relative to equipment suppliers). The costs presented here
are based on national average assumptions and include a range (represented by low-, mid-, and
high-cost equations) intended to encompass the variation in costs that systems would incur to
remove PFAS. To validate the engineering design methods used by the WBS models and
increase the accuracy of the resulting cost estimates, EPA has subjected the individual models to
a process of external peer review by nationally recognized technology experts.

The GAC model underwent peer review in 2006. Two of the three reviewers felt they had
enough experience with GAC cost estimates to evaluate the model's accuracy. One of these
reviewers expressed the opinion that resulting cost estimates would be in the range of budget
estimates (+30 to -15 percent). The other reviewer did not provide a precise estimate of the
model's accuracy range but commented that the resulting cost estimates were reasonable. EPA
made substantial revisions to the GAC model in response to the peer review.

The IX model underwent peer review in 2005, during an early stage of its development. One peer
reviewer responded that resulting cost estimates were in the range of budget estimates (+30 to -
15 percent). The other two reviewers thought the estimates were order of magnitude estimates
(+50 to -30 percent), with an emphasis on the estimates being high. The IX model has since
undergone extensive revision, both in response to the peer review and to adapt it for PFAS
treatment using selective resin.

The RO/NF model underwent peer review in 2007. The majority of peer reviewers who
evaluated the model expressed the opinion that resulting cost estimates would be in the range of
budget estimates (+30 to -15 percent). The RO model has since undergone substantial revision in
response to the peer review comments.

EPA received peer review comments on the non-treatment model in May 2012. The first
reviewer responded that cost estimates resulting from the non-treatment model were in the range
of budget estimates (+30 to -15 percent). The second reviewer thought the cost estimates were
order of magnitude estimates (+50 to -30 percent). The third reviewer felt the cost estimates were

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definitive (+15 to -5 percent), except for land costs, which were difficult to assess due to regional
variations. EPA revised the nontreatment model in response to the peer review
recommendations.

7.1.4 Model Updates for Final Rule

In response to public comments on the proposed PFAS rule, EPA made a number of updates to
the WBS models. First, EPA updated the models' cost outputs to 2022 dollars. The Agency
accomplished this by escalating unit costs using indices including the Bureau of Labor Statistics
producer price indices (USBLS, 2010). EPA updated each unit cost using the change in the
relevant price index from year 2020 to 2022. For example, the EPA applied the percent increase
of the price of metal tanks and vessels to the price of metal tanks and vessels in the WBS cost
models. The EPA also collected new vendor price quotes for cost driver equipment components
(e.g., pressure vessels, treatment media). In addition, EPA made the following adjustments to the
models' inputs and assumptions:

•	EPA updated the pilot study costs included in each of the treatment technology models. As
part of this update, EPA increased the estimated length of the pilot study and the frequency
of sampling during the pilot study. Additionally, EPA added a full year of confirmation
sampling after full-scale installation to the estimated pilot study costs.

•	EPA changed its assumptions regarding contingency. Specifically, EPA incorporated
contingency at all cost levels, not just the high-cost level. EPA also increased the complexity
factor applied to estimate contingency for systems using GAC and non-treatment options.
Taken together, these changes result in a contingency factor of 5 to 10 percent depending on
total project cost at all cost levels.

•	EPA changed the input assumptions for the nontreatment interconnection option to
incorporate booster pumps designed to account for friction loss in interconnecting piping (see
Section 7.6.3.3).

7.2 Costs for GAC

7.2.1 Model Components and Assumptions

USEPA (2024a) provides a complete description of the engineering design process used by the
WBS model for GAC. The model can generate costs for two types of design:

•	Pressure designs where the GAC bed is contained in stainless steel, carbon steel, or fiberglass
pressure vessels

•	Gravity designs where the GAC bed is contained in open concrete basins.

Table 7-2 shows the technology-specific capital equipment and O&M requirements included in
the GAC model. These items are in addition to the common WBS cost elements listed in Table
7-1.

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Table 7-2. Technology-Specific Cost Elements Included in the GAC Model

Cost Category

Major Components Included

Direct Capital

• Booster pumps for influent water (for gravity GAC designs)

Costs

• Contactors (either pressure vessels or concrete basins) that contain the GAC bed



• Tanks and pumps for backwashing the contactors



• GAC transfer and storage equipment



• Spent GAC reactivation facilities (if on-site reactivation is selected)



• Associated piping, valves and instrumentation

O&M Costs:

• Operator labor for contactor maintenance (for gravity GAC designs)

Labor

• Operator labor for managing backwash events



• Operator labor for backwash pump maintenance (if backwash occurs weekly or more



frequently)



• Operator labor for GAC transfer and replacement

O&M Costs:

• Materials for contactor maintenance (accounts for vessel relining in pressure designs,

Materials

because GAC can be corrosive, and for concrete and underdrain maintenance in



gravity designs)



• Materials for backwash pump maintenance (if backwash occurs weekly or more



frequently)



• Replacement virgin GAC (limited to loss replacement only if reactivation is selected)

O&M Costs:

• Operating energy for backwash pumps

Energy

O&M Costs:

• Discharge fees for spent backwash

Residuals

• Fees for reactivating spent GAC (if off-site reactivation is selected)



• Labor, materials, energy, and natural gas for reactivation facility (if on-site

reactivation is selected)

	• Disposal of spent GAC (if disposal is selected)	

For small systems (less than 1 MGD) using pressure designs, the GAC model assumes the use of
package treatment systems that are pre-assembled in a factory, mounted on a skid, and
transported to the site. The model estimates costs for package systems by costing all individual
equipment line items (e.g., vessels, interconnecting piping and valves, instrumentation, and
system controls) in the same manner as custom-engineered systems. This approach is based on
vendor practices of partially engineering these types of package plants for specific systems (e.g.,
selecting vessel size to meet flow and treatment criteria). The model applies a variant set of
design inputs and assumptions that are intended to simulate the use of a package plant and that
reduce the size and cost of the treatment system. USEPA (2024a) provides complete details on
the variant design assumptions used for package plants.

The paragraphs below describe the specific inputs and assumptions that EPA used to generate the
costs in Section 7.2.2. Other inputs and assumptions not discussed below (e.g., loading rate,
number of booster pumps, backwash frequency, bed expansion) remained as described in
USEPA (2024a).

7.2.1.1 Design Type

Systems often choose between pressure and gravity GAC designs based on cost (Brady and
Moran, 2012; Summers et al., 2011). However, groundwater systems are more likely to choose
pressure designs to maintain their existing pressure head. For these systems, use of gravity
contactors would entail installation and operation of new pumps to restore pressure after GAC

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treatment (Summers et al., 2011). Therefore, for treatment of groundwater, EPA generated cost
equations for pressure designs only. For treatment of surface water, EPA generated separate cost
equations for pressure and gravity designs.

7.2.1.2	EBCT and Contactor Configuration

For pressure designs, the estimates below and in Appendix A assume two vessels in series with a
minimum total EBCT of 20 minutes (i.e., 10 minutes per vessel). For gravity designs, they
assume contactors in parallel with a minimum total EBCT of 20 minutes. These assumptions are
consistent with design engineer and GAC vendor recommendations for PFAS removal as
discussed in Sections 2.6.1 and 2.6.2. The EBCT per vessel is also consistent with the data used
to derive the bed life equations (10 minutes).

7.2.1.3	Bed Life

As discussed in Sections 2.2.2 and 2.6.3, GAC bed life depends on factors including target
removal efficiency, influent water quality (particularly natural organic matter), and the specific
PFAS compound(s) targeted. To accommodate variations in these factors, EPA generated
separate cost equations at 5,000 BV increments for bed lives ranging from 5,000 to 75,000 BV.
Each 5,000 BV increment corresponds to a 2- to 5-month shift in changeout frequency,
depending on system size. To estimate national costs, EPA selected from among these cost
equations using the bed life equations described in Section 2.6.3. EPA rounded results from the
bed life equations down to the nearest 5,000 BV, which errs on the side of higher costs.

The bed life equations are based on data representative of a single contactor with an EBCT of 10
minutes. As discussed in Section 7.2.1.1, the estimates below assume two contactors in series,
each with an EBCT of 10 minutes (for pressure systems) or multiple contactors in parallel, each
with an EBCT of 20 minutes (for gravity systems). Either of these configurations should result in
a longer bed life than estimated for a single, 10-minute EBCT contactor (see Section 2.6.2). EPA
did not adjust the bed life results to account for the more efficient contactor configuration
assumptions. Not incorporating an adjustment for configuration errs on the side of higher costs
and is intended to compensate for the fact that the bed life equations are based in part on RSSCT
data, which might overestimate full-scale bed life (see Section 2.6.3). Note that EPA does not
have data on the degree to which RSSCTs might overestimate bed life or to quantify the bed life
extension resulting from contactor configuration. Therefore, the net result of this compensating
adjustment is uncertain.

7.2.1.4	Residuals Management

EPA generated separate cost equations for two spent GAC management scenarios:

•	Off-site reactivation under current RCRA non-hazardous waste regulations

•	Off-site disposal as a hazardous waste and replacement with virgin GAC (i.e., single use
operation).

The first scenario reflects typical management practices under current regulations. The second
scenario provides an upper bound on other options that might emerge under future air quality
regulations (e.g., off-site disposal as a non-hazardous waste and replacement with virgin GAC)
or RCRA hazardous waste regulations (e.g., off-site reactivation as a hazardous waste,).

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7.2.2 Cost Estimates

The graphs below plot WBS cost model results in 2022 dollars at the mid cost level for removal
of PFAS from groundwater using pressure GAC (Figure 7-1) and surface water using gravity
GAC (Figure 7-2), assuming a bed life of 50,000 BV and off-site GAC reactivation as a non-
hazardous waste. In these exhibits, note that costs increase at 1 MGD design flow (0.355 MGD
average flow) because of the transition from package systems (used by small systems) to custom-
engineered systems (used by large systems). Appendix A provides complete cost equations for
across the range of bed life and residuals management scenarios, including the high, mid, and
low-cost levels and for treatment of groundwater and surface water. Appendix B presents
example WBS model outputs at selected flow rates, allowing review of individual cost line
items.

1,000,000,000

1000

0.1 Average flow (mgd) 1

100

Note: costs shown assume bed life of 50,000 BV and off-site reactivation of spent GAC as a non-hazardous waste

Figure 7-1. Mid Cost Results for Removal of PFAS from Groundwater Using Pressure

GAC (2022 dollars)

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0.01

0.1

1 Design size (mgd) 10

100

10,000,000

?1,000,000

100,000

10,000

y = 2.9486x3 - 401.4571X2 + 104300.0261X + 151920.8815
Rz = 0.9999

y = 2259.2860X3 - 18146.6061x2 + 155461 0244x +61810.5502
R2 = 0 9995



Of*



y =-883961.6809x3 + 585242.3022x2 +52569.1706x +32743.5967
R2 = 0.9961



El

0.001

0.01

0.1 Average flow (mgd) 1

10

100

Note: costs shown assume bed life of 50,000 BV and off-site reactivation of spent GAC as a non-hazardous waste

Figure 7-2. Mid Cost Results for Removal of PFAS from Surface Water Using Gravity

GAC (2022 dollars)

7.3 Costs for IX

7.3.1 Model Components and Assumptions

USEPA (2024d) provides a complete description of the engineering design process used by the
WBS model for PFAS-selective IX. Table 7-3 shows the technology-specific capital equipment
and O&M requirements included in the model. These items are in addition to the common WBS
cost elements listed in Table 7-1.

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Table 7-3. Technology-Specific Cost Elements Included in the PFAS-selective IX Model

Cost Category

Major Components Included

Direct Capital

• Pre-treatment cartridge filters

Costs

• Pressure vessels that contain the resin bed



• Tanks and pumps for initial rinse and (optionally) backwash of the resin bed



• Tanks (with secondary containment), pumps and mixers for delivering sodium



hydroxide for use in post-treatment corrosion control (optional)



• Associated piping, valves, and instrumentation

O&M Costs:

• Operator labor for pre-treatment filters

Labor

• Operator labor for managing backwash/rinse events



• Operator labor for backwash pump maintenance (only if backwash occurs weekly or



more frequently)



• Operator labor for resin replacement

O&M Costs:

• Replacement cartridges for pre-treatment filters

Materials

• Materials for backwash pump maintenance (only if backwash occurs weekly or more



frequently)



• Chemical usage (if post-treatment corrosion control is selected)



• Replacement virgin PFAS-selective resin

O&M Costs:



Energy

• Operating energy for backwash/rinse pumps

O&M Costs:

• Disposal of spent cartridge filters

Residuals

• Discharge fees for spent backwash/rinse



• Disposal of spent resin

For small systems (less than 1 MGD), the PFAS-selective IX model assumes the use of package
treatment systems that are pre-assembled in a factory, mounted on a skid, and transported to the
site. The model estimates costs for package systems by costing all individual equipment line
items (e.g., vessels, interconnecting piping and valves, instrumentation, and system controls) in
the same manner as custom-engineered systems. This approach is based on vendor practices of
partially engineering these types of package plants for specific systems (e.g., selecting vessel size
to meet flow and treatment criteria). The model applies a variant set of design inputs and
assumptions that are intended to simulate the use of a package plant and that reduce the size and
cost of the treatment system. USEPA (2024d) provides complete details on the variant design
assumptions used for package plants.

The paragraphs below describe the specific inputs and assumptions that EPA used to generate the
costs in Section 7.3.2. Other inputs and assumptions not discussed below (e.g., number of
booster pumps, treated water corrosion control, bed expansion) remained as described in USEPA
(2024d).

7.3.1.1 EBCT and Vessel Configuration

The estimates below and in Appendix A assume two vessels in series with a minimum total
EBCT of 6 minutes (i.e., 3 minutes per vessel). The use of two vessels in series is consistent with
full-scale practice and design engineer and IX vendor recommendations for PFAS removal as
discussed in Section 3.6.2. The total EBCT is at the upper bound of the recommended range
discussed in Section 3.6.1 and, therefore, errs on the side of higher cost. It also results in an
EBCT per vessel roughly consistent with the data used to derive the bed life equations (3.3
minutes).

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7.3.1.2	Bed Life

As discussed in Sections 3.2.2 and 3.6.3, IX bed life depends on factors including target removal
efficiency, influent water quality, and the specific PFAS compound(s) targeted. To accommodate
variations in these factors, EPA generated separate cost equations at 20,000 BV increments for
bed lives ranging from 20,000 to 260,000 BV. Each 20,000 BV increment corresponds to a 3- to
4-month shift in changeout frequency, depending on system size. To estimate national costs,
EPA selected from among these cost equations using the bed life equations described in Section
2.6.3. EPA rounded results from the bed life equations down to the nearest 20,000 BV, which
errs on the side of higher costs.

The bed life equations are based on data representative of a single vessel with an EBCT of 3.3
minutes. As discussed in Section 7.3.1.1, the estimates below assume two vessel in series, each
with an EBCT of 3 minutes. The use of vessels in series should result in a longer bed life than
estimated for a single, 3.3-minute EBCT vessel (see Section 3.6.2). EPA did not adjust the bed
life results to account for the more efficient vessel configuration. Not incorporating an
adjustment for configuration errs on the side of higher costs and is intended to compensate for
the fact that the bed life equations are based on RSSCT data, which might overestimate full-scale
bed life (see Section 3.6.3). Note that EPA does not have data on the degree to which RSSCTs
might overestimate bed life or to quantify the bed life extension resulting from vessel
configuration. Therefore, the net result of this compensating adjustment is uncertain.

7.3.1.3	Residuals Management

EPA generated separate cost equations for two spent resin management scenarios:

•	Spent resin managed as non-hazardous and sent off-site for incineration

•	Spent resin managed as hazardous and sent off-site for incineration.

In both cases, the spent resin is replaced with virgin resin. The first scenario reflects typical
management practices under current regulations. The second scenario provides an upper bound
on other options that might emerge under future air quality regulations (e.g., off-site disposal in a
non-hazardous waste landfill) or RCRA hazardous waste regulations (e.g., off-site disposal in a
hazardous waste landfill).

73.2 Cost Estimates

The graphs below (Figure 7-4) plot WBS cost model results in 2022 dollars at the mid cost level
for removal of PFAS from groundwater using PFAS-selective IX, assuming a bed life of 160,000
BV. In the exhibit, note that costs increase at 1 MGD design flow (0.355 MGD average flow)
because of the transition from package systems (used by small systems) to custom-engineered
systems (used by large systems). Appendix A provides complete cost equations for across the
range of bed life and residuals management scenarios, including the high, mid, and low-cost
levels and for treatment of groundwater and surface water. Appendix B presents example WBS
model outputs at selected flow rates, allowing review of individual cost line items.

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100,000,000

: 10,000,000

1,000,000

100,000

0.01

100,000,000

10,000,000

"W 1,000,000

o

100,000

10,000

y = -156.1913x2 + 540836.1859x +2366805.8704
R2 = 0.9995

y =-10424.7434x2 + 738369.9087X + 1145973.9043
Rz = 0 9993











y = 279001.2156x3 - 684702.7894X2 + 1114657.3297X + 181484.5646
R2 = 0.

0.1

1 Design size (mgd) 10

100

1000

0.1 Average flow (mgd) 1

100

Note: costs shown assume bed life of 120,000 BV and incineration of spent resin as a non-hazardous waste

Figure 7-3. Mid Cost Results for Removal of PFAS from Groundwater Using IX (2022

dollars)

7.4 Costs for RO/NF

7.4.1 Model Components and Assumptions

USEPA (2024c) provides a complete description of the engineering design process used by the
WBS model for RO/NF. Table 7-4 shows the technology-specific capital equipment and O&M
requirements included in the model. These items are in addition to the common WBS cost
elements listed in Table 7-1.

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Table 7-4. Technology-Specific Cost Elements Included in the RO/NF Model

Cost Category

Major Components Included

Direct Capital

High-pressure pumps for influent water and (optionally) interstage pressure boost

Costs

Pre-treatment cartridge filters



Tanks, pumps, and mixers for pretreatment chemicals



Pressure vessels, membrane elements, piping, connectors, and steel structure for the



membrane racks



Valves for concentrate control and (optionally) per-stage throttle



Tanks, pumps, screens, cartridge filters, and heaters for membrane cleaning



Equipment, including dedicated concentrate discharge piping, for managing RO



concentrate and spent cleaning chemicals



Associated pipes, valves, and instrumentation

O&M Costs:

Operator labor for pre-treatment filters

Labor

Operator labor for routine O&M of membrane units



Operator labor to maintain membrane cleaning equipment

O&M Costs:

Replacement cartridges for pre-treatment filters

Materials

Chemical usage for pretreatment



Maintenance materials for pre-treatment, membrane process, and cleaning equipment



Replacement membrane elements



Chemical usage for cleaning

O&M Costs:

Energy for high-pressure pumping

Energy

O&M Costs:

Disposal costs for spent cartridge filters and membrane elements

Residuals

Concentrate discharge fees*

* Not applicable under the

esiduals management used in the estimates below (direct discharge to a non-potable water body).

The paragraphs below describe specific inputs and assumptions that EPA used to generate the
costs in Section 7.4.2. Other inputs and assumptions not discussed below (e.g., cleaning interval,
permeate throttling and interstage boost, membrane life) were as described in USEPA (2024c).

7.4.1.1	Water Type

The WBS model for RO/NF includes three default groundwaters and three default surface
waters, ranging from high to low quality (i.e., from low to high total dissolved solids and scaling
potential). The default water parameters are based on a survey of membrane feed water
characteristics in the literature. The cost estimates below and in Appendix A are intended to
reflect the incremental cost of removing PFAS from otherwise potable water using RO/NF.
Therefore, the estimates use the default high quality water parameters built in to the WBS model.
Total dissolved solids for the high-quality surface water is approximately 360 mg/L; for high-
quality groundwater, total dissolved solids is approximately 500 mg/L. USEPA (2024c)
documents the other relevant characteristics of these default waters.

7.4.1.2	Membrane Type

The WBS model includes the option of NF, low-pressure RO, or brackish water RO membrane
elements, with a diameter of 4 inches, 8 inches, or 16 to 18 inches.16 As discussed in Section
4.6.1, both low MWCO (or "tight") NF membranes and low-pressure (or "loose") RO
membranes are effective for PFAS removal. Therefore, EPA used the WBS model to compare

16 Not all manufacturers use the same size for their largest diameter elements, but the model is independent of the exact diameter.

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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costs using NF membranes to those using low-pressure (or "loose") RO membranes, holding the
other inputs and assumptions documented here constant. The difference in annualized cost
between the two membrane types varied by system size, component level, and water source
(groundwater versus surface water), but was at most 10 percent. For simplicity, given the small
difference in cost, the cost estimates below and in Appendix A assume use of low-pressure (or
"loose") RO membrane elements. This assumption tends to err on the side of higher cost,
because RO was more frequently (although not always) the more expensive option in EPA's
comparisons. This assumption is also consistent with the types of membrane elements used at the
two full-scale membrane facilities designed for PFAS removal (see Section 4.6.1). For very
small systems, the cost estimates use 4-inch diameter elements; for larger systems, the estimates
use 8-inch elements. The switch from 4-inch to 8-inch elements takes place at a flow rate of
about 75,000 gallons per day.

7.4.13 Flux Rate

The flux rate, in combination with the system design flow, determines the total membrane area in
the system, and therefore the total number of membrane elements to be used. Flux rates are based
on the recommendations of various manufacturers for waters of different challenge. For
groundwater, the cost estimates below and in Appendix A use a flux rate of 19 gfd. For surface
water, the rates are 15 to 16 gfd. These flux rates fall within the range reported in the literature
for PFAS removal (see Section 4.6.3).

7.4.1.4	Target Recovery Rate

For systems larger than approximately 0.5 MGD, the cost estimates below and in Appendix A
use target recovery rates of 80 percent for groundwater and 85 percent for surface water.17 These
recovery rates fall within the range reported in the literature for PFAS removal (see Section
4.6.3). At small flows, the minimum size of membrane elements limits flexibility in the system
design; therefore, estimates up to about 500,000 gallons per day may use recovery rates as low as
70 to 75 percent.

7.4.1.5	Residuals Management

The cost estimates below and in Appendix A assume direct discharge of concentrate to a
permitted outfall on a non-potable water body (e.g., ocean or brackish estuary) via 10,000 feet of
buried dedicated piping. As discussed in Section 4.5, this assumption is consistent with the
management practice planned at the full-scale membrane facility in North Carolina designed for
PFAS removal. It is also the most common management practice for RO/NF facilities in general.
Since spent cleaning solution is generated infrequently and in small amounts, the estimates her
assume that it will be diluted and discharged with membrane concentrate.

7.4.2 Cost Estimates

The graphs below (Figure 7-4) plot WBS cost model results in 2022 dollars at the mid cost level
for removal of PFAS from groundwater using RO. Because RO/NF can continuously achieve
high removal efficiencies for PFAS, systems that require lower removals may be able to treat a
portion of their total flow and blend treated water and untreated water to meet a regulatory

17 Note that recovery rate is the percent of influent flow that is recovered as useable treated water (permeate), as opposed to lost
as residual concentrate. It is not directly related to percent removal of PFAS

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standard. When blending is possible, it will reduce treatment costs and potential post-treatment
requirements (see Section 4.4). EPA assumes systems using RO/NF will employ blending when
they require less than 95 percent removal. Because RO/NF can achieve greater than 95 percent
removal efficiency for most PFAS compounds (see Section 4.2.1), this assumption errs on the
side of higher costs. The flow rates shown on the x-axes in Figure 7-4 and as the independent
variables in the equations below and in Appendix A are treatment process flows. To account for
blending in the cost estimates, these treatment process flows should be calculated from entry
point flows by incorporating a blending ratio as follows:

D _ °/°Rrequired

B ~ 0.95

Qtreated,design — B X Qtotal,design
Qtreated,average — B X Qtotal,design

Where:

•	B = the blending ratio expressed as a decimal

•	%Rrequired = removal required to meet regulatory standard, expressed as a decimal

•	0.95 = assumption about the continuous removal achieved by RO/NF (see above)

•	Qtreated = treated portion of entry point flow in MGD

•	Qtotai = total entry point flow in MGD

Appendix A provides complete cost equations for the high, mid, and low-cost levels and for
treatment of groundwater and surface water. Appendix B presents example WBS model outputs
at selected flow rates, allowing review of individual cost line items.

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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100,000,000

8 10,000,000

1,000,000

0 01

100,000,000

10,000,000

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- y = 6.7065x3 - 968.2361X2 + 282811,6573x + 375801.5896
R2 = 0.9998

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R2 = 0.9892

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R2 = 0.9914

0.01

0.1 Average flow (mgd) 1

10

100

Figure 7-4. Mid Cost Results for Removal of PFAS from Groundwater Using Reverse

Osmosis (2022 dollars)

7.5 Costs for POU Treatment

7.5.1 Model Components and Assumptions

The document Cost Evaluation of Point-of-11st' and Point-of-Entry Treatment Units for Small
Systems: Cost Estimating Tool and User Guide (USEPA, 2023) provides a complete descripti on
of the WBS model for POU/POE technologies. The POU/POE model is capable of estimating
equipment costs for a variety of POU/POE devices. To use the POU/POE model in estimating
costs for PFAS, EPA selected a program using POU RO devices. EPA assumed the use of POU,
as opposed to POE, devices because ingestion is the primary route of concern for exposure to
PFAS. hi addition to the costs of the POU RO devices and replacement filters, the WBS model
also includes the cost of the following other components of a complete POU program:

• POU RO device installation

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

•	Public education program development

•	POU device monitoring

• POU device maintenance.

Because only small systems would be expected to use POU programs, the model does not cover
systems serving greater than 3,300 people (greater than 1 MGD design flow). Also, the model
does not include assumptions or materials of construction that vary based on a "component
level" or "cost level" input. Therefore, unlike the other models, it does not generate separate
estimates for low-, mid-, and high-cost scenarios.

To use the model for PFAS removal, EPA collected cost data for POU RO devices certified for
PFOA and PFOS removal under the current standard. EPA also updated all other unit costs (e.g.,
analytical costs, labor rates, printed material costs). Table 7-5 identifies the values used for
parameters other than unit costs that drive the costs of a POU RO program. EPA developed these
assumptions based on EPA guidance (USEPA, 2006) and case study data, as discussed in detail
in the paragraphs below.

Table 7-5. POU Model Assumptions for PFAS Removal
Parameter Category	Value

Installation labor • Plumber installation time: 2 hours per POU device (NSF International, 2005)

Scheduling time: 0.5 hours per household (USEPA, 2006)	

time

Public education
program	

Public meeting-related time: 20 hours
Other outreach time (e.g., program updates in a billing mailer): 4 hours

Monitoring
requirements

Initial monitoring for all units; annual monitoring for 1/3 of units (USEPA, 2006)
Sampling time: 0.25 hours per sampling event (NSF International, 2005)	

Filter replacement

Replacement schedule: RO element (3 years); post-RO carbon filter (1 year); pre-
RO filters (9 months) (manufacturer recommendations)

Filter replacement time: 0.5 hour per change-out (NSF International, 2005)
Scheduling time: 0.5 hours per household (USEPA, 2006)	

7.5.1.1 POU RO Device Installation

Installation of the POU RO devices will be the responsibility of the water system. The utility can,
however, hire a licensed plumber or representative of the product manufacturer to install the
devices. Based on the variety of plumbing issues encountered among older housing units in a
rural community, NSF International (2005) recommends using an experienced plumber to
perform the installations.

The POU model contains a default estimate of two hours per household to install the POU RO. A
variety of factors such as existing plumbing conditions and travel distance will affect installation
times across sites. The estimate is consistent with case study data. In a Grimes, California,
arsenic demonstration program (NSF International, 2005), POU adsorptive filter installation
times ranged from 15 minutes to 3 hours depending on the accessibility of piping and the need
for additional lines (e.g., to provide treated water to ice-makers). The mean device installation
time was one hour, but total plumber billing records indicated that twice as much time was spent
on all installation-related activities (e.g., additional time to obtain special plumbing fittings and
return visits to homes when residents missed their appointments).

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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Installation costs also include administrative time for system staff to contact homeowners to
schedule an installation appointment. EPA assumed an average of 30 minutes (0.5 hours) per
household to schedule an appointment. Scheduling effort is likely to vary across customers, with
some being relatively easy to schedule while others may require multiple calls to identify and
contact the correct homeowners or to handle situations such as homeowner reluctance to
participate or language barriers (USEPA, 2006).

7.5.1.2	Public Education Program

EPA guidance (2006) recommends that systems implement a public education program to obtain
and maintain customer participation and long-term customer satisfaction with the POU program.
The two main program elements recommended in USEPA (2006) are: public meetings prior to
installing any POU devices to educate customers about the regulatory compliance requirements
and the role of the POU devices; and POU program updates in billing mailers and on information
flyers posted in public locations such as a post office, a public library, or a website. The POU
model includes labor costs for the following program elements:

•	preparing information for one public meeting

•	attending the meeting

•	preparing an additional billing mailer with program updates.

Public education program costs are not available from POU case studies. USEPA (2023)
provides a detailed breakdown of the assumptions used to generate the time estimates shown in
Table 7-5. It also describes the costs for materials such as information flyers for the public
meeting, meeting announcements, and billing mailers.

7.5.1.3	POU Device Monitoring

A system that implements a POU compliance strategy will need to monitor the quality of water
produced by the treatment devices to demonstrate compliance with a PFAS standard. The system
will need to work with the appropriate regulatory agency to establish an approved compliance-
monitoring schedule (USEPA, 2006). The resulting monitoring schedule may have sampling
rates in initial year that differ from sampling rates in subsequent years. EPA Guidance (2006)
provides an example of a monitoring schedule in which samples are taken from every unit during
the first year to confirm that the units are working properly, and then monitoring frequency
declines to one-third of units each subsequent year. EPA's cost estimates incorporate these
monitoring frequencies.

Monitoring costs include sampling time, shipping fees, and laboratory analysis fees. The average
sampling is 15 minutes (0.25 hours). To minimize the burden on households as well as system
resources, EPA assumes that sampling occurs during installation or maintenance trips. The
assumption is consistent with the Grimes case study cost analysis (NSF International, 2005) used
an estimate of 15 minutes per sampling event.

7.5.1.4	POU Device Maintenance

Maintenance for the POU RO device primarily includes replacing the four filters: RO membrane,
two carbon filters, and the sediment filter. Replacement schedules reflect average useful lives
based on vendor recommendations. On average, the RO membrane is replaced once every three

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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years based on average replacement schedules across vendors, and the other filter cartridges are
changed once per year.

In addition to replacement filter costs, maintenance costs include scheduling time and time to
change filters. The Grimes case study cost analysis (NSF International, 2005) used an estimate of
15 minutes per filter change out. EPA assumed the average length of a maintenance call 30
minutes (0.5 hours) because the most frequent type of visit involves changing two filters. EPA
used the same 30-minute scheduling time assumption that it used for initial installation.

7.5.2 Cost Estimates

POU RO is not currently a compliance option because the regulatory options under consideration
require treatment to concentrations below 70 ng/L total of PFOA and PFOS, the current
certification standard for POU devices. However, POU treatment might become a compliance
option for small systems in the future if NSF/ANSI develops a new certification standard that
mirrors or is more stringent than EPA's proposed regulatory standard. The cost estimates
presented here for POU RO reflect the costs of devices certified under the current testing
standard, which might differ from the costs of devices certified under a future standard.

Therefore, the POU RO costs should be considered preliminary estimates. Additionally, EPA
notes that it did not develop estimates for POU GAC devices; however, these may also
potentially be a future compliance option if they are certified to the new testing standard.

Figure 7-5 plots WBS cost model results in 2022 dollars for removal of PFAS from groundwater
using POU treatment. EPA limits the POU model to a maximum of approximately 1,000
households served because implementing and maintaining a POU program for a greater number
of households is likely to be impractical. Therefore, the graphs do not extend beyond a maximum
of 1 MGD design flow, which corresponds to this limit on the number of households. As
discussed above, the POU model also does not generate separate high, mid, and low-cost
estimates. Appendix A contains complete cost equations for POU treatment, including for
groundwater and surface water. Appendix B presents example WBS model outputs for selected
flow rates, allowing review of individual cost line items.

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1,000,000











































































































































































































































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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Table 7-6. Technology-Specific Cost Elements Included in the Non-treatment Model

Cost Category

Major Components Included for
Interconnection

Major Components Included for New
Wells

Direct Capital
Costs

•
•

Booster pumps or pressure reducing
valves (depending on pressure at supply
source)

Concrete vaults (buried) for booster

•
•

Well casing, screens, and plugs
Well installation costs including
drilling, development, gravel pack, and
surface seals



•

pumps or pressure reducing valves
Interconnecting piping (buried) and
valves

•
•

Well pumps

Piping (buried) and valves to connect
the new well to the system

O&M Costs:

Labor

•

Operator labor for O&M of booster
pumps or pressure reducing valves
(depending on pressure at supply
source) and interconnecting valves

•

Operator labor for operating and
maintaining well pumps and valves

O&M Costs:

Materials

•
•

Cost of purchased water
Materials for maintaining booster
pumps (if required by pressure at supply
source)

•

Materials for maintaining well pumps

O&M Costs:

Energy

•

Energy for operating booster pumps (if
required by pressure at supply source)

•

Energy for operating well pumps

Nontreatment options are less likely to be available for larger systems because of the large water
quantities required. Therefore, EPA's WBS nontreatment cost model generates costs only for
systems serving less than 10,000 people. As discussed in Section 6.1, the two options covered by
the WBS nontreatment model (new wells or interconnection) are likely to have higher costs than
other nontreatment options available for PFAS. The sections below describe the specific inputs
and assumptions that EPA used to generate the costs for each option in Section 7.6.4. For both
options, the cost estimates assume that systems choosing a nontreatment option do so because
they have an alternative source that will not require additional water treatment to address
changes in raw water quality (i.e., no post-treatment). Because of this, they further assume no
incremental waste or residuals management costs.

7.6.2 Assumptions for New Wells

The sections below describe specific inputs and assumptions used to generate costs under the
new well nontreatment option. Other inputs and assumptions not discussed below (e.g., pump
type, gravel pack and grout requirement, screen and casing length ratios, well pressure and
footprint) were as described in USEPA (2024b).

7.6.2.1 Total Flow Rate Requirements and Flow per Well

As with other WBS models, design and average flow are inputs to the nontreatment model. In the
case of nontreatment approaches, however, "design" flow is the peak flow required by the
system, rather than the design capacity of a treatment plant. In the new well nontreatment option,
the flow rate requirements determine the number of new wells required. The cost estimates
below and in Appendix A assume A maximum well capacity of 500 gallons per minute (gpm),
such that one new well is installed per 500 gpm of water production capacity required.

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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7.6.2.2	Weil Depth

Well depth will vary for each site depending on the geological formations and aquifer depths.
Geophysical studies prior to well installation will provide guidance on optimum well depths. The
WBS model has cost data for pumps to serve wells up to 1,350 feet in depth. The cost estimates
below and in Appendix A assume a 250-foot well depth.

7.6.2.3	Distance from Well to Distribution System

The distance between a new well and the distribution system affects pipe installation costs.
Distance will vary depending on distribution system geography relative to the extent of aquifer
contamination. The cost estimates below and in Appendix A assume a distance of 500 feet.

7.63 Assumptions for interconnection

The sections below describe specific inputs and assumptions used to generate costs under the
interconnection nontreatment option. Other inputs and assumptions not discussed below (e.g.,
trench dimensions, concrete thickness) were as described in USEPA (2024b).

76.3.1 Flow Rate Requirements

As with other WBS models, design and average flow are inputs to the nontreatment model. In the
case of nontreatment approaches, however, "design" flow is the peak flow required by the
system, rather than the design capacity of a treatment plant. In the interconnection nontreatment
option, the flow rate requirements determine a number of system and equipment parameters,
including pipeline and valve size and pump capacity and energy use (if required by pressure at
the supply source).

7.6.3.2 Distance to Interconnection Water Supply

For utilities able to purchase water from a neighboring system, the capital cost of the
interconnection project will depend on the distance between the two systems. If the systems are
far apart geographically, the cost of installing a pipeline may be too high to make an
interconnection project feasible. Also, a larger booster pump will be required to overcome
friction losses along longer pipelines. The cost estimates below and in Appendix A assume an
average interconnection distance of 10,000 feet, based on comments from the peer review of the
nontreatment model.

7 6.3.3 Pressure at Supply Water Source

The water pressure of purchased water may require adjustment prior to entering the purchasing
system's distribution network (e.g., to account for elevation differences). If the wholesale
supplier does not have enough pressure to meet the distribution needs of the interconnection
project, then booster pumps are needed to move water from the supply source into the
distribution system. The booster pump size is based on flow rate as well as distance and grade to
the distribution system. If the supply source has more pressure than necessary, then pressure
reducing valves are needed. The cost estimates below and in Appendix A assume that differences
in pressure between the supplier and the purchasing system are minimal, but that booster pumps
are still needed to overcome friction loss in the interconnecting piping between the two systems.

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7.6.3.4 Cost of Purchased Water

An interconnection project will include one or more water rates paid to the wholesale system by
the purchasing system. The model assumption is a single water rate for the average cost in
dollars per thousand gallons of purchased water. The cost estimates below and in Appendix A
assume a higher cost of purchased water of $3.17 per thousand gallons, based on recent data
from wholesaling and purchasing systems that published their agreed rates online.

7.6.4 Cost Estimates

The graphs below plot WBS cost model results in 2022 dollars at the mid cost level for the two
nontreatment options for systems using groundwater: new wells (Figure 7-6) and interconnection
(Figure 7-7). The graphs do not extend beyond 3.536 MGD design flow, because the
nontreatment model does not generate costs for larger systems. Appendix A provides complete
cost equations for both nontreatment options, including the high, mid, and low-cost levels and
for interconnection of groundwater and surface water systems. Appendix B presents example
WBS model outputs for selected flow rates, allowing review of individual cost line items.

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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Design size (mgd)

Average flow (mgd)

Figure 7-6. Mid Cost Results for PFAS Compliance Using New Wells at Groundwater

Systems (2022 dollars)

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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f1,000,000

100,000

0.01

10,000,000

»1,000,000

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0.001

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0.1	1

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10

Figure 7-7. Mid Cost Results for PFAS Compliance Using Interconnection at Groundwater

Systems (2022 dollars)

7.7 References

Brady, R. and Moran, M. 2012. Activated Carbon Adsorption. In Randtke, S.J. and Horsley,
M.B. (Eds.), Water Treatment Plant Design, Fifth Edition (pp. 16.1-16.45). American Water
Works Association/American Society of Civil Engineers.

NSF International. 2005. Feasibility of Economically Sustainable Point-of-Use Point-of-Entry
Decentralized Public Water System. Ann Arbor, MI: NSF International.

Summers, R.S., Knappe, D.R.U., and Snoeyink, V.L. 2011. Adsorption of Organic Compounds
by Activated Carbon. In Edzwald, J.K. (Ed.), Water Quality & Treatment: A Handbook on
Drinking Water, Sixth Edition (pp. 14.1-14.105). American Waterworks Association.

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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
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USEPA. 1997. Discussion Summary: EPA Technology Design Workshop. Washington, D.C.:
USEPA, Office of Groundwater and Drinking Water.

USEPA. 2006. Point-of-Use or Point-of-Entry Treatment Options for Small Drinking Water
Systems. Office of Ground Water and Drinking Water. EPA-815-R-06-010.

USEPA. 2023. Cost Evaluation of Point-of-Use and Point-of-Entry Treatment Units for Small
Systems: Cost Estimating Tool and User Guide. Office of Water.

USEPA. 2024a. Work Breakdown Structure-Based Cost Model for Granular Activated Carbon
Drinking Water Treatment. Office of Water.

USEPA. 2024b. Work Breakdown Structure-Based Cost Model for Nontreatment Options for
Drinking Water Compliance. Office of Water.

USEPA. 2024c. Work Breakdown Structure-Based Cost Model for Reverse
Osmosis/Nanofiltration Drinking Water Treatment. Office of Water.

USEPA. 2024d. Work Breakdown Structure-Based Cost Model for Ion Exchange Treatment of
Per- and Polyfluoroalkyl Substances (PFAS) in Drinking Water. Forthcoming.

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Appendix A. Cost Equations

Notes:

•	Cost equations presented here take one of the following forms, identified by which
coefficients (CI through CIO) are nonzero:

Cost = CI QC2

or Cost = C3 Ln(Q) + C4

or Cost = CSe(C6Q)

or Cost = CI Q3 + C8 Q2 + C9 Q + CIO

where Q is design flow in MGD for total capital costs, or average flow in MGD for
annual O&M costs. Resulting costs are in 2022 dollars.

•	Equations are designated as for small, medium, or large systems. These equations apply as
follows:

o Small system equations apply where design flow (Q) is less than 1 MGD

o Medium system equations apply where design flow (Q) is 1 MGD or greater,
but less than 10 MGD

o Large system equations apply where design flow (Q) is 10 MGD or greater,
but less than 162 MGD

Note: although the independent variable Q in the O&M equations is average flow,
selection between O&M equations for small, medium, and large systems is made based
on design flow.

•	EPA developed each equation using the method described in Section 7.1.

•	For GAC, equations are not presented for gravity designs for groundwater systems, because
groundwater systems are unlikely to use this design type.

•	For POU RO, costs do not vary by component level input (high, mid, low); equations are not
presented for medium and large systems.

•	For Nontreatment, medium system size curves are valid only up to 3.536 MGD design flow
(1.417 MGD groundwater average flow and 1.345 MGD surface water average flow);
equations are not presented for systems of greater size.

91


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

A.l Capital and Annual O&M Cost Equation Parameters for GAC

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

Low

Pressure

5000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

5000

non-haz

Total Cap

tal

34.018

0

0

0

0

0

0

-2486.3578

27414.1362

747627.6848

1517889.733

GW

Large

Low

Pressure

5000

non-haz

Total Cap

tal

35.758

0

0

0

0

0

0

8.4254

-429.7729

541257.9754

3500298.704

GW

Small

Mid

Pressure

5000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

5000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

5000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1721

-239.2412

605710.8055

4654699.52

GW

Small

High

Pressure

5000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

5000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

5000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0331

-691.4953

859964.47

6895608.343

GW

Small

Low

Pressure

10000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

10000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

10000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.466

-440.2387

541837.5065

3493395.48

GW

Small

Mid

Pressure

10000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

10000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

10000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.2128

-249.7072

606290.3518

4647796.121

GW

Small

High

Pressure

10000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

10000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

10000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0727

-701.7678

860535.54

6888790.727

GW

Small

Low

Pressure

15000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

15000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

15000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

15000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

15000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

15000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

GW

Small

High

Pressure

15000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

15000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

15000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

20000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

20000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

20000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

20000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

20000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

20000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

GW

Small

High

Pressure

20000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

20000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

20000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

25000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

25000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

25000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

25000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

25000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

25000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

92


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

25000

non-haz

Total Capital

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

25000

non-haz

Total Capital

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

25000

non-haz

Total Capital

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

5000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

3501541.999

-2165452.331

877869.7948

3263.1157

GW

Medium

Low

Pressure

5000

non-haz

Annual O&M

34.018

0

0

0

0

0

0

3250.4356

-23665.12

561526.7756

43752.593

GW

Large

Low

Pressure

5000

non-haz

Annual O&M

35.758

0

0

0

0

0

0

0

252.5515

486878.1261

218860.293

GW

Small

Mid

Pressure

5000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

3113884.66

-1945691.778

853757.4075

3978.2238

GW

Medium

Mid

Pressure

5000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3424.1855

-24777.0461

565525.6523

46646.6871

GW

Large

Mid

Pressure

5000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

0

263.1991

486763.8627

220014.9753

GW

Small

High

Pressure

5000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

3284292.916

-2055922.467

881706.9102

4989.1575

GW

Medium

High

Pressure

5000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

0

-2327.4254

531454.5345

68105.0319

GW

Large

High

Pressure

5000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

0

331.5468

487871.3966

243989.805

GW

Small

Low

Pressure

10000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1163798.788

-956594.5385

521753.5662

3212.0126

GW

Medium

Low

Pressure

10000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

0

969.2297

285541.4468

67721.8084

GW

Large

Low

Pressure

10000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

239.8974

263461.4869

215052.1595

GW

Small

Mid

Pressure

10000

non-haz

Annual O&M

21.815

272277.1609

0.7634

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

10000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

2222.7632

-14796.6698

318314.1199

57626.1513

GW

Large

Mid

Pressure

10000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

0

251.2656

263284.0211

216656.4233

GW

Small

High

Pressure

10000

non-haz

Annual O&M

24.3

270585.7863

0.7334

0

0

0

0

0

0

0

0

GW

Medium

High

Pressure

10000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

1605.1331

-12529.8744

324256.8748

60919.5312

GW

Large

High

Pressure

10000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

2.4754

15.1504

274030.553

176296.6942

GW

Small

Low

Pressure

15000

non-haz

Annual O&M

21.59

206605.9939

0.7477

0

0

0

0

0

0

0

0

GW

Medium

Low

Pressure

15000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

1825.2098

-11514.6751

233300.3448

59869.4318

GW

Large

Low

Pressure

15000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

235.6792

188989.2911

213782.4452

GW

Small

Mid

Pressure

15000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

691543.6845

-571481.5178

382986.5369

3892.2745

GW

Medium

Mid

Pressure

15000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

2008.9206

-12691.1516

237388.4202

62712.6846

GW

Large

Mid

Pressure

15000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.1787

-21.9534

197385.7524

158121.9551

GW

Small

High

Pressure

15000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

862231.7763

-681929.6582

410966.5325

4902.4442

GW

Medium

High

Pressure

15000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

1371.455

-10316.7192

243231.1483

66015.6036

GW

Large

High

Pressure

15000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

0

317.5582

189729.6626

240710.6887

GW

Small

Low

Pressure

20000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1059149.591

-733383.2022

349657.4428

3161.0361

GW

Medium

Low

Pressure

20000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

2078.4966

-13333.9665

199191.3219

59530.7251

GW

Large

Low

Pressure

20000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

233.5701

151753.1858

213147.8234

GW

Small

Mid

Pressure

20000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

671818.9964

-513793.35

325560.0534

3876.0166

GW

Medium

Mid

Pressure

20000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

2261.8236

-14507.3435

203271.6442

62375.6333

GW

Large

Mid

Pressure

20000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

0

245.2989

151544.1032

214976.8352

GW

Small

High

Pressure

20000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

842340.7288

-624162.4319

353530.0089

4886.4332

GW

Medium

High

Pressure

20000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

1614.331

-12078.3942

209063.6135

65682.8412

GW

Large

High

Pressure

20000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

2.4526

12.7192

162137.5397

175667.6539

GW

Small

Low

Pressure

25000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1053276.065

-707093.9765

315190.3657

3151.4118

GW

Medium

Low

Pressure

25000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

2435.2004

-16095.8916

182512.996

57615.2662

GW

Large

Low

Pressure

25000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

232.3049

129411.5

212767.1982

GW

Small

Mid

Pressure

25000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

665773.6095

-487425.8037

291085.3975

3866.5236

GW

Medium

Mid

Pressure

25000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

2618.2081

-17266.6799

186587.5011

60460.8336

GW

Large

Mid

Pressure

25000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

0

244.1057

129196.1015

214641.3671

93


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

25000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

836343.5993

-597800.2384

319049.6204

4877.2396

GW

Medium

High

Pressure

25000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

1964.7923

-14805.5973

192349.6102

63770.941

GW

Large

High

Pressure

25000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

0

314.7601

130101.3384

240054.6892

SW

Small

Low

Pressure

5000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

5000

non-haz

Total Cap

tal

34.018

0

0

0

0

0

0

-2492.0991

27485.0084

747380.7199

1518120.093

SW

Large

Low

Pressure

5000

non-haz

Total Cap

tal

35.758

0

0

0

0

0

0

8.4199

-428.2096

541142.2803

3500765.618

SW

Small

Mid

Pressure

5000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

5000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

5000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1667

-237.6853

605595.6021

4655161.709

SW

Small

High

Pressure

5000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

5000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

5000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0276

-689.8981

859843.855

6896164.069

SW

Small

Low

Pressure

10000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

10000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

10000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4606

-438.6757

541721.8267

3493862.219

SW

Small

Mid

Pressure

10000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

10000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

10000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.2074

-248.1514

606175.1485

4648258.31

SW

Small

High

Pressure

10000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

10000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

10000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0673

-700.1708

860414.9396

6889346.279

SW

Small

Low

Pressure

15000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

15000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

15000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

15000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

15000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

15000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

SW

Small

High

Pressure

15000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

15000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

15000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

SW

Small

Low

Pressure

20000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

20000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

20000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

20000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

20000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

20000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

SW

Small

High

Pressure

20000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

20000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

20000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

SW

Small

Low

Pressure

25000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

25000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

25000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

25000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

25000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

25000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

94


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

25000

non-haz

Total Capital

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

sw

Medium

High

Pressure

25000

non-haz

Total Capital

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

25000

non-haz

Total Capital

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

sw

Small

Low

Pressure

5000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

3302567.774

-2081398.277

870268.9005

2938.6808

sw

Medium

Low

Pressure

5000

non-haz

Annual O&M

34.018

0

0

0

0

0

0

4313.4488

-27486.8763

570649.6103

40003.1272

sw

Large

Low

Pressure

5000

non-haz

Annual O&M

35.758

0

0

0

0

0

0

0

221.9261

494506.3018

215974.1184

sw

Small

Mid

Pressure

5000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

2944918.421

-1870870.423

845780.859

3710.478

sw

Medium

Mid

Pressure

5000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

4569.1534

-28952.3395

575248.9642

42671.8935

sw

Large

Mid

Pressure

5000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

0

233.3974

494442.9562

216763.0629

sw

Small

High

Pressure

5000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

3098112.413

-1972311.373

872697.3103

4665.8707

sw

Medium

High

Pressure

5000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

3574.3541

-25007.3054

579438.2808

46607.892

sw

Large

High

Pressure

5000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

0

304.6488

496178.8936

238680.4656

sw

Small

Low

Pressure

10000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1093428.716

-920680.956

517235.5887

2834.5612

sw

Medium

Low

Pressure

10000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

2700.7403

-15285.9116

320511.2896

52086.6939

sw

Large

Low

Pressure

10000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

208.7677

271054.2329

212814.7354

sw

Small

Mid

Pressure

10000

non-haz

Annual O&M

21.815

280824.6354

0.7841

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

10000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

2965.0399

-16801.6269

325173.1824

54721.0283

sw

Large

Mid

Pressure

10000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

0

221.0012

270928.9862

213992.647

sw

Small

High

Pressure

10000

non-haz

Annual O&M

24.3

279844.8693

0.7557

0

0

0

0

0

0

0

0

sw

Medium

High

Pressure

10000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

0

0

306120.8072

68664.6156

sw

Large

High

Pressure

10000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

0

293.7762

272541.1358

236688.5244

sw

Small

Low

Pressure

15000

non-haz

Annual O&M

21.59

214214.9983

0.7723

0

0

0

0

0

0

0

0

sw

Medium

Low

Pressure

15000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

2504.9836

-13374.8687

240156.1568

56910.5463

sw

Large

Low

Pressure

15000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

204.3817

196570.2069

211761.5245

sw

Small

Mid

Pressure

15000

non-haz

Annual O&M

21.815

215132.9271

0.766

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

15000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

2768.0717

-14881.3544

244797.3115

59549.7187

sw

Large

Mid

Pressure

15000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

3.0439

-133.5236

206771.9515

150482.5302

sw

Small

High

Pressure

15000

non-haz

Annual O&M

24.3

215424.7458

0.7334

0

0

0

0

0

0

0

0

sw

Medium

High

Pressure

15000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

1661.7265

-10369.0046

248430.1075

63575.3329

sw

Large

High

Pressure

15000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

3.2632

-85.4788

209088.137

168930.2015

sw

Small

Low

Pressure

20000

non-haz

Annual O&M

21.59

176686.4915

0.7532

0

0

0

0

0

0

0

0

sw

Medium

Low

Pressure

20000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

2835.7301

-15509.6714

206207.3203

56658.0803

sw

Large

Low

Pressure

20000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0896

-153.4612

169831.0651

147709.2076

sw

Small

Mid

Pressure

20000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

613007.1981

-476871.8362

319262.4672

3577.2498

sw

Medium

Mid

Pressure

20000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3098.138

-17011.1381

210837.5923

59299.6617

sw

Large

Mid

Pressure

20000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

3.035

-134.5656

169489.3809

150203.6821

sw

Small

High

Pressure

20000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

766445.309

-578490.4263

346197.5326

4532.3768

sw

Medium

High

Pressure

20000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

1977.7496

-12427.1976

214399.5842

63336.7015

sw

Large

High

Pressure

20000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

0

288.3396

160722.2831

235692.1656

sw

Small

Low

Pressure

25000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

960644.7055

-658812.2569

308974.9826

2800.5673

sw

Medium

Low

Pressure

25000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

3390.0666

-19518.8507

191722.1325

53879.3413

sw

Large

Low

Pressure

25000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0829

-154.008

147463.1415

147530.9253

sw

Small

Mid

Pressure

25000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

603083.5751

-448355.8108

284492.5907

3572.3717

sw

Medium

Mid

Pressure

25000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3652.1782

-21018.2377

196347.947

56521.342

sw

Large

Mid

Pressure

25000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

3.0297

-135.188

147119.7477

150037.0852

95


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

25000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

756298.5321

-549863.178

311413.059

4527.8226

sw

Medium

High

Pressure

25000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2523.3883

-16391.2858

199866.8573

60565.9163

SW

Large

High

Pressure

25000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

3.2561

-87.5621

149427.3076

168544.487

GW

Small

Low

Pressure

30000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

30000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

30000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

30000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

30000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

30000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

GW

Small

High

Pressure

30000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

30000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

30000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

35000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

35000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

35000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

35000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

35000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

35000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

GW

Small

High

Pressure

35000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

35000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

35000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

40000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

40000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

40000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

40000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

40000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

40000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

GW

Small

High

Pressure

40000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

40000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

40000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

45000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

45000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

45000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

45000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

45000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

45000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

GW

Small

High

Pressure

45000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

45000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

45000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

50000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

50000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

50000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

50000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

50000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

50000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

0

2289.8176

441957.2669

6924159.09

96


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

50000

non-haz

Total Capital

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

50000

non-haz

Total Capital

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

50000

non-haz

Total Capital

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

30000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1051141.904

-692934.4954

292190.9296

3145.5028

GW

Medium

Low

Pressure

30000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

2767.7757

-18932.5039

174322.7649

54468.6203

GW

Large

Low

Pressure

30000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.1726

-37.029

123088.1148

155258.537

GW

Small

Mid

Pressure

30000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

663764.4023

-473327.8748

268092.018

3860.3504

GW

Medium

Mid

Pressure

30000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

2950.5643

-20101.5473

178393.16

57315.1854

GW

Large

Mid

Pressure

30000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

0

243.3099

114297.4674

214417.3268

GW

Small

High

Pressure

30000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

834373.5222

-583736.1006

296062.6744

4871.1499

GW

Medium

High

Pressure

30000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2293.2451

-17619.4796

184136.7044

60626.2742

GW

Large

High

Pressure

30000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

0

314.0608

115194.2438

239890.8457

GW

Small

Low

Pressure

35000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1050701.23

-684671.0949

275779.2456

3140.7884

GW

Medium

Low

Pressure

35000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

2989.8076

-21043.9416

169305.4423

51442.9965

GW

Large

Low

Pressure

35000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.1684

-37.1164

112432.7865

155186.8196

GW

Small

Mid

Pressure

35000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

663295.9165

-465035.0621

251673.4867

3856.0778

GW

Medium

Mid

Pressure

35000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3172.4462

-22211.7175

173372.7568

54290.288

GW

Large

Mid

Pressure

35000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

0

242.7417

103655.5653

214257.384

GW

Small

High

Pressure

35000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

833873.4295

-575424.0179

279640.7141

4866.652

GW

Medium

High

Pressure

35000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2512.2641

-19714.0549

179101.4647

57602.9132

GW

Large

High

Pressure

35000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

2.4428

11.6775

114183.3942

175398.0029

GW

Small

Low

Pressure

40000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1050650.785

-679339.9491

263456.6527

3137.7255

GW

Medium

Low

Pressure

40000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

3025.6693

-21863.7255

164727.9711

49178.799

GW

Large

Low

Pressure

40000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

230.4062

95899.0549

212195.5581

GW

Small

Mid

Pressure

40000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

663367.5014

-459784.2717

239364.5068

3852.4774

GW

Medium

Mid

Pressure

40000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3208.3008

-23031.3452

168794.49

52026.0338

GW

Large

Mid

Pressure

40000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.148

-23.1372

104148.2091

157530.4598

GW

Small

High

Pressure

40000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

833834.5078

-570107.4833

267320.266

4863.568

GW

Medium

High

Pressure

40000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2545.9635

-20521.9677

174512.3998

55339.6614

GW

Large

High

Pressure

40000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

2.4412

11.5051

106190.9781

175353.6841

GW

Small

Low

Pressure

45000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1051045.013

-675883.4231

253890.9976

3134.8134

GW

Medium

Low

Pressure

45000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

2934.6611

-21541.0477

159218.15

48095.5502

GW

Large

Low

Pressure

45000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

230.0551

89693.0039

212090.1986

GW

Small

Mid

Pressure

45000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

663481.7506

-456191.4893

229781.4541

3850.1469

GW

Medium

Mid

Pressure

45000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3117.1448

-22707.6083

163282.4621

50943.3523

GW

Large

Mid

Pressure

45000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.146

-23.218

97932.4374

157490.538

GW

Small

High

Pressure

45000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

834103.4367

-566589.0825

257747.8571

4860.6901

GW

Medium

High

Pressure

45000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2453.0981

-20188.8066

168990.8939

54258.3791

GW

Large

High

Pressure

45000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

2.4399

11.3689

99974.7456

175318.1043

GW

Small

Low

Pressure

50000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1051207.181

-673322.271

246214.8668

3133.234

GW

Medium

Low

Pressure

50000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

2893.5592

-21353.4903

154649.9594

47228.3517

GW

Large

Low

Pressure

50000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.156

-36.5863

93225.7735

155340.7325

GW

Small

Mid

Pressure

50000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

663782.1811

-453701.1327

222116.9621

3847.9304

GW

Medium

Mid

Pressure

50000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3075.8732

-22518.7919

158711.6278

50077.1166

GW

Large

Mid

Pressure

50000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

0

241.8009

84492.0557

214122.824

97


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

50000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

834539.0852

-564173.3772

250093.156

4858.4905

GW

Medium

High

Pressure

50000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2410.6022

-19993.5814

164415.1863

53391.7044

GW

Large

High

Pressure

50000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

2.434

11.9469

94974.379

175571.9043

SW

Small

Low

Pressure

30000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

30000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

30000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

30000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

30000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

30000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

SW

Small

High

Pressure

30000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

30000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

30000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

SW

Small

Low

Pressure

35000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

35000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

35000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

35000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

35000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

35000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

SW

Small

High

Pressure

35000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

35000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

35000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

SW

Small

Low

Pressure

40000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

40000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

40000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

40000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

40000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

40000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

SW

Small

High

Pressure

40000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

40000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

40000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

SW

Small

Low

Pressure

45000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

45000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

45000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

45000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

45000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

45000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

SW

Small

High

Pressure

45000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

45000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

45000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

SW

Small

Low

Pressure

50000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

50000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

50000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

50000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

50000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

50000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

98


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

50000

non-haz

Total Capital

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

sw

Medium

High

Pressure

50000

non-haz

Total Capital

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

50000

non-haz

Total Capital

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

sw

Small

Low

Pressure

30000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

955965.2204

-643254.5548

285786.8427

2797.4999

sw

Medium

Low

Pressure

30000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

3816.278

-22964.8201

184626.3964

50276.4631

sw

Large

Low

Pressure

30000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0784

-154.3709

132551.1557

147411.9536

sw

Small

Mid

Pressure

30000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

598433.4043

-432810.7858

261305.5919

3569.1401

sw

Medium

Mid

Pressure

30000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

4078.0859

-24461.9644

189247.631

52919.2762

sw

Large

Mid

Pressure

30000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

3.0261

-135.6065

132206.7702

149925.1606

sw

Small

High

Pressure

30000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

751655.1286

-534327.8711

288228.0663

4524.4536

sw

Medium

High

Pressure

30000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2943.6423

-19806.3099

192738.3336

56968.538

sw

Large

High

Pressure

30000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

0

286.5277

123449.3073

235360.4482

sw

Small

Low

Pressure

35000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

953505.3376

-633867.9327

269220.1286

2795.2815

sw

Medium

Low

Pressure

35000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

3914.4434

-24359.674

178584.8408

47598.3294

sw

Large

Low

Pressure

35000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0753

-154.6315

121899.7621

147326.9488

sw

Small

Mid

Pressure

35000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

596060.3449

-423476.1233

244747.3907

3566.5944

sw

Medium

Mid

Pressure

35000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

4176.0443

-25855.2067

183202.4108

50242.1327

sw

Large

Mid

Pressure

35000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

3.0236

-135.9023

121554.5476

149845.9022

sw

Small

High

Pressure

35000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

749225.2399

-524948.0294

271659.5722

4522.4061

sw

Medium

High

Pressure

35000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

3037.8493

-21180.8968

186676.3684

54293.0442

sw

Large

High

Pressure

35000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

3.253

-88.4546

123858.3753

168379.3967

sw

Small

Low

Pressure

40000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

952133.0586

-627820.4304

256802.0682

2793.3344

sw

Medium

Low

Pressure

40000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

3850.247

-24522.6197

172809.5532

45826.9615

sw

Large

Low

Pressure

40000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

198.8992

103465.1699

210445.2031

sw

Small

Mid

Pressure

40000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

594582.4798

-417366.3086

232320.4832

3565.0348

sw

Medium

Mid

Pressure

40000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

4111.7833

-26017.6931

177426.1941

48470.4455

sw

Large

Mid

Pressure

40000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

3.0217

-136.1257

113565.4428

149785.8976

sw

Small

High

Pressure

40000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

747995.476

-518983.8208

259253.1904

4520.4163

sw

Medium

High

Pressure

40000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2970.54

-21327.6173

180883.826

52524.6784

sw

Large

High

Pressure

40000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

3.2521

-88.7344

115868.1112

168327.5636

sw

Small

Low

Pressure

45000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

951264.0907

-623670.9617

247142.4408

2792.0187

sw

Medium

Low

Pressure

45000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

3823.5285

-24545.0403

167711.4627

44594.5756

sw

Large

Low

Pressure

45000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0647

-154.1576

107667.6308

147498.7525

sw

Small

Mid

Pressure

45000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

593666.1209

-413187.2858

222655.5888

3563.9621

sw

Medium

Mid

Pressure

45000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

4084.777

-26038.1494

172324.1606

47239.6459

sw

Large

Mid

Pressure

45000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

3.0139

-135.4792

107321.4126

150024.6267

sw

Small

High

Pressure

45000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

746966.487

-514755.1408

249583.304

4519.2441

sw

Medium

High

Pressure

45000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2941.213

-21336.2678

175770.2134

51295.7591

sw

Large

High

Pressure

45000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

3.2451

-88.1312

109623.187

168572.3915

sw

Small

Low

Pressure

50000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

950618.3806

-620670.7397

239410.1623

2790.7886

sw

Medium

Low

Pressure

50000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

3982.0822

-25543.5244

165110.7659

42934.5469

sw

Large

Low

Pressure

50000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0464

-152.0757

102615.6846

148224.9821

sw

Small

Mid

Pressure

50000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

593126.7025

-410248.3687

214931.5065

3562.4396

sw

Medium

Mid

Pressure

50000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

4243.3673

-27036.7421

169723.3838

45579.2149

sw

Large

Mid

Pressure

50000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.9958

-133.4133

102269.0808

150753.5222

99


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

50000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

746406.5724

-511800.3213

241858.6306

4517.8884

sw

Medium

High

Pressure

50000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

3097.9246

-22325.1882

173159.521

49637.1184

SW

Large

High

Pressure

50000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

3.2276

-86.0997

104570.1034

169306.4934

GW

Small

Low

Pressure

55000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

55000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

55000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

55000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

55000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

55000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

GW

Small

High

Pressure

55000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

55000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

55000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

60000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

60000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

60000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

60000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

60000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

60000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

GW

Small

High

Pressure

60000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

60000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

60000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

65000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

65000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

65000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

65000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

65000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

65000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

GW

Small

High

Pressure

65000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

65000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

65000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

70000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

70000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

70000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

70000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

70000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

70000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

GW

Small

High

Pressure

70000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

70000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

70000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

75000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

GW

Medium

Low

Pressure

75000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2523.6675

28012.9376

745181.4392

1520377.017

GW

Large

Low

Pressure

75000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4227

-431.4662

541371.2133

3499016.173

GW

Small

Mid

Pressure

75000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

75000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3865.827

41101.8956

878562.1787

1836517.062

GW

Large

Mid

Pressure

75000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1694

-240.9347

605824.0587

4653416.815

100


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

75000

non-haz

Total Capital

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

GW

Medium

High

Pressure

75000

non-haz

Total Capital

35.282

0

0

0

0

0

0

-8303.065

98339.2387

1117284.869

2553290.209

GW

Large

High

Pressure

75000

non-haz

Total Capital

35.505

0

0

0

0

0

0

21.0278

-692.6687

860051.8917

6894620.619

GW

Small

Low

Pressure

55000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1051487.85

-671495.3174

239941.5572

3131.4827

GW

Medium

Low

Pressure

55000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

2998.2731

-22105.5277

152596.27

45725.9479

GW

Large

Low

Pressure

55000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.1414

-34.783

89084.1176

156068.482

GW

Small

Mid

Pressure

55000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

664042.2761

-451861.7824

215839.0456

3846.5693

GW

Medium

Mid

Pressure

55000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3180.6831

-23271.5188

156659.2527

48573.7688

GW

Large

Mid

Pressure

55000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.125

-20.8072

88790.5215

158470.9514

GW

Small

High

Pressure

55000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

834746.977

-562323.0152

243816.8128

4856.9243

GW

Medium

High

Pressure

55000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2514.2357

-20739.6958

162355.7008

51889.7037

GW

Large

High

Pressure

55000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

2.4201

13.6971

90832.2101

176304.8982

GW

Small

Low

Pressure

60000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1051928.601

-670233.6193

234725.6653

3129.9095

GW

Medium

Low

Pressure

60000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

3079.9742

-22724.4535

150910.5624

44396.2028

GW

Large

Low

Pressure

60000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.1283

-33.1649

85627.6546

156738.2673

GW

Small

Mid

Pressure

60000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

664488.9941

-450598.222

210623.526

3844.9784

GW

Medium

Mid

Pressure

60000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3262.3048

-23889.6464

154971.4487

47244.7886

GW

Large

Mid

Pressure

60000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.1122

-19.2076

85334.0544

159140.9232

GW

Small

High

Pressure

60000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

835165.1069

-561030.7638

238595.4854

4855.5342

GW

Medium

High

Pressure

60000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2594.8965

-21352.521

160662.5334

50561.6169

GW

Large

High

Pressure

60000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

0

312.8143

77876.8354

240428.6751

GW

Small

Low

Pressure

65000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1052140.665

-669181.4993

230300.7575

3128.8802

GW

Medium

Low

Pressure

65000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

3125.9312

-23145.3942

149431.5651

43215.621

GW

Large

Low

Pressure

65000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.1031

-29.7577

82618.5538

158243.3079

GW

Small

Mid

Pressure

65000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

664689.8822

-449526.034

206194.2018

3843.9901

GW

Medium

Mid

Pressure

65000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3308.2587

-24310.4691

153491.9113

46064.3463

GW

Large

Mid

Pressure

65000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

0

242.1217

74090.7367

215651.2511

GW

Small

High

Pressure

65000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

835414.6956

-560011.9572

234177.1846

4854.0687

GW

Medium

High

Pressure

65000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2640.305

-21770.6708

159181.7676

49380.495

GW

Large

High

Pressure

65000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

2.383

18.6403

84365.878

178487.2218

GW

Small

Low

Pressure

70000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1052485.171

-668417.4884

226510.8158

3127.9062

GW

Medium

Low

Pressure

70000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

3149.1213

-23418.0077

148047.4413

42207.4667

GW

Large

Low

Pressure

70000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.0845

-27.2669

80056.8966

159342.7227

GW

Small

Mid

Pressure

70000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

665040.8806

-448776.385

202408.9398

3842.7964

GW

Medium

Mid

Pressure

70000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3331.3959

-24582.7754

152107.2619

45056.3122

GW

Large

Mid

Pressure

70000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.0687

-13.3332

79763.0556

161747.892

GW

Small

High

Pressure

70000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

835725.9595

-559224.6179

230382.2482

4853.4064

GW

Medium

High

Pressure

70000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2662.7004

-22038.9572

157793.3837

48372.5616

GW

Large

High

Pressure

70000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

2.3649

21.0925

81804.1441

179587.854

GW

Small

Low

Pressure

75000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

1052836.508

-667858.8762

223237.2973

3126.7443

GW

Medium

Low

Pressure

75000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

3152.5713

-23524.8441

146552.403

41443.6053

GW

Large

Low

Pressure

75000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.0684

-25.0936

77834.9085

160343.4075

GW

Small

Mid

Pressure

75000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

665299.3562

-448183.9852

199131.0486

3841.9003

GW

Medium

Mid

Pressure

75000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

3334.6995

-24688.4978

150609.8777

44293.4464

GW

Large

Mid

Pressure

75000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

0

242.511

69442.7456

216845.7353

101


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

75000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

835948.2948

-558596.8236

227098.4232

4852.419

GW

Medium

High

Pressure

75000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

2665.4201

-22141.4758

156292.7991

47610.199

GW

Large

High

Pressure

75000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

0

313.5505

70314.212

242499.6385

SW

Small

Low

Pressure

55000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

55000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

55000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

55000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

55000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

55000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

SW

Small

High

Pressure

55000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

55000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

55000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

SW

Small

Low

Pressure

60000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

60000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

60000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

60000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

60000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

60000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

SW

Small

High

Pressure

60000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

60000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

60000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

SW

Small

Low

Pressure

65000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

65000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

65000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

65000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

65000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

65000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

SW

Small

High

Pressure

65000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

65000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

65000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

SW

Small

Low

Pressure

70000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

70000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

70000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

70000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

70000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

70000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

SW

Small

High

Pressure

70000

non-haz

Total Cap

tal

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

SW

Medium

High

Pressure

70000

non-haz

Total Cap

tal

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

70000

non-haz

Total Cap

tal

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

SW

Small

Low

Pressure

75000

non-haz

Total Cap

tal

21.59

0

0

0

0

0

0

155873.3869

-801906.4663

1575613.983

150079.049

SW

Medium

Low

Pressure

75000

non-haz

Total Cap

tal

34.029

0

0

0

0

0

0

-2529.4088

28083.8097

744934.4742

1520607.377

SW

Large

Low

Pressure

75000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

8.4173

-429.9031

541255.5335

3499482.913

SW

Small

Mid

Pressure

75000

non-haz

Total Cap

tal

21.815

1277796.793

0.4821

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

75000

non-haz

Total Cap

tal

33.359

0

0

0

0

0

0

-3871.5568

41172.6101

878315.7892

1836746.876

SW

Large

Mid

Pressure

75000

non-haz

Total Cap

tal

34.463

0

0

0

0

0

0

10.1641

-239.3788

605708.8553

4653879.004

102


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

75000

non-haz

Total Capital

24.3

0

0

0

0

0

0

925760.6399

-2223622.419

2700805.487

376429.0306

sw

Medium

High

Pressure

75000

non-haz

Total Capital

35.282

0

0

0

0

0

0

-8308.7991

98410.0174

1117038.242

2553520.247

SW

Large

High

Pressure

75000

non-haz

Total Capital

35.505

0

0

0

0

0

0

21.0223

-691.0717

859931.2914

6895176.171

sw

Small

Low

Pressure

55000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

950092.0731

-618391.689

233070.6105

2790.634

sw

Medium

Low

Pressure

55000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

4117.4978

-26502.795

163436.6769

41273.0511

sw

Large

Low

Pressure

55000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0219

-149.1208

98434.2177

149310.834

sw

Small

Mid

Pressure

55000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

592637.4292

-407992.379

208596.0103

3562.1402

sw

Medium

Mid

Pressure

55000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

4378.7314

-27995.6544

168048.6336

43917.7999

sw

Large

Mid

Pressure

55000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.9716

-130.4739

98087.3514

151841.0148

sw

Small

High

Pressure

55000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

746088.1792

-509620.5717

235529.7626

4517.2656

sw

Medium

High

Pressure

55000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

3231.6757

-23275.8786

171476.466

47977.1551

sw

Large

High

Pressure

55000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

3.2039

-83.188

100387.7581

170398.3601

sw

Small

Low

Pressure

60000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

949787.6394

-616725.9835

227804.7086

2789.5582

sw

Medium

Low

Pressure

60000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

4186.1387

-27086.7101

161803.2371

39894.6085

sw

Large

Low

Pressure

60000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.9921

-145.3879

94900.9922

150711.1839

sw

Small

Mid

Pressure

60000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

592347.5938

-406335.5071

203331.5653

3560.9672

sw

Medium

Mid

Pressure

60000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

4447.1753

-28578.257

166412.5954

42540.338

sw

Large

Mid

Pressure

60000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.942

-126.7549

94553.9088

153243.2467

sw

Small

High

Pressure

60000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

745742.9278

-507935.0201

230259.8365

4516.483

sw

Medium

High

Pressure

60000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

3298.9504

-23852.5656

169834.8393

46600.4764

sw

Large

High

Pressure

60000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

3.1746

-79.4923

96853.8186

171803.9049

sw

Small

Low

Pressure

65000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

949554.8885

-615417.3828

223341.6858

2789.0941

sw

Medium

Low

Pressure

65000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

4212.2868

-27417.5551

160215.5626

38750.3239

sw

Large

Low

Pressure

65000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.9694

-142.5621

91923.256

151791.1841

sw

Small

Mid

Pressure

65000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

592017.1141

-404975.9893

198861.671

3560.8398

sw

Medium

Mid

Pressure

65000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

4473.4515

-28909.7759

164825.7147

41395.5749

sw

Large

Mid

Pressure

65000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.9194

-123.9348

91575.8336

154325.4757

sw

Small

High

Pressure

65000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

745476.595

-506604.85

225794.7019

4516.0066

sw

Medium

High

Pressure

65000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

3324.1222

-24178.6815

168243.4119

45455.9618

sw

Large

High

Pressure

65000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

3.1525

-76.694

93875.3771

172888.7017

sw

Small

Low

Pressure

70000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

949479.7863

-614438.2948

219526.3145

2788.3379

sw

Medium

Low

Pressure

70000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

4184.3886

-27384.6656

158308.9578

37955.7208

sw

Large

Low

Pressure

70000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.9478

-139.8365

89357.4594

152890.9067

sw

Small

Mid

Pressure

70000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

592089.2104

-404062.1835

195051.5266

3560.0089

sw

Medium

Mid

Pressure

70000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

4445.4153

-28875.9823

162917.5472

40601.4264

sw

Large

Mid

Pressure

70000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.8981

-121.2188

89009.8736

155426.7095

sw

Small

High

Pressure

70000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

745306.413

-505584.7727

221974.8855

4515.3339

sw

Medium

High

Pressure

70000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

3295.1688

-24140.071

166330.046

44662.9419

sw

Large

High

Pressure

70000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

3.1314

-73.9976

91309.1417

173991.8195

sw

Small

Low

Pressure

75000

non-haz

Annual O&M

21.59

0

0

0

0

0

0

949302.455

-613591.1715

216213.0828

2787.8809

sw

Medium

Low

Pressure

75000

non-haz

Annual O&M

34.029

0

0

0

0

0

0

4062.3849

-26778.8205

155796.5998

37555.9996

sw

Large

Low

Pressure

75000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.9323

-137.8857

87149.5367

153683.0801

sw

Small

Mid

Pressure

75000

non-haz

Annual O&M

21.815

0

0

0

0

0

0

591810.0308

-403155.9502

191729.2146

3559.8187

sw

Medium

Mid

Pressure

75000

non-haz

Annual O&M

33.359

0

0

0

0

0

0

4323.3091

-28269.2417

160402.9802

40202.825

sw

Large

Mid

Pressure

75000

non-haz

Annual O&M

34.463

0

0

0

0

0

0

2.8826

-119.2754

86801.8137

156219.7272

103


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

75000

non-haz

Annual O&M

24.3

0

0

0

0

0

0

745048.072

-504701.3898

218656.7362

4515.0366

sw

Medium

High

Pressure

75000

non-haz

Annual O&M

35.282

0

0

0

0

0

0

3172.2839

-23529.4898

163811.9583

44264.8187

SW

Large

High

Pressure

75000

non-haz

Annual O&M

35.505

0

0

0

0

0

0

3.1162

-72.0675

89100.692

174787.9504

sw

Small

Low

Gravity

5000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

5000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2215.9319

-47607.7405

905378.5464

1498796.203

sw

Large

Low

Gravity

5000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

5000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

5000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

5000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

5000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

5000

non-haz

Total Cap

tal

34.735

0

0

0

0

0

0

1747.5957

-40783.7296

1021445.793

2016353.85

sw

Large

High

Gravity

5000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

10000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

10000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2215.9319

-47607.7405

905378.5464

1498796.203

sw

Large

Low

Gravity

10000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

10000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

10000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

10000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

10000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

10000

non-haz

Total Cap

tal

34.735

0

0

0

0

0

0

1747.5957

-40783.7296

1021445.793

2016353.85

sw

Large

High

Gravity

10000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

15000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

15000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

15000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

15000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

15000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

15000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

15000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

15000

non-haz

Total Cap

tal

34.735

0

0

0

0

0

0

1747.5957

-40783.7296

1021445.793

2016353.85

sw

Large

High

Gravity

15000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

20000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

20000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

20000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

20000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

20000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

20000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

20000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

20000

non-haz

Total Cap

tal

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

sw

Large

High

Gravity

20000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

25000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

25000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

25000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

25000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

25000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

25000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

104


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

25000

non-haz

Total Capital

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

25000

non-haz

Total Capital

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

SW

Large

High

Gravity

25000

non-haz

Total Capital

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

5000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

1553949.451

-941766.8848

688128.7417

28094.6299

sw

Medium

Low

Gravity

5000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

0

0

513388.8313

77224.2648

sw

Large

Low

Gravity

5000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

0

0

491422.8766

266976.5986

sw

Small

Mid

Gravity

5000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

1468267.845

-875616.7882

683466.1672

32890.4998

sw

Medium

Mid

Gravity

5000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

0

0

516837.2312

80596.7135

sw

Large

Mid

Gravity

5000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

0

0

491762.1239

261806.4982

sw

Small

High

Gravity

5000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

1456223.479

-861545.1655

686493.8491

34783.2849

sw

Medium

High

Gravity

5000

non-haz

Annual O&M

34.735

0

0

0

0

0

0

0

0

516776.5238

80843.8182

sw

Large

High

Gravity

5000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

0

492327.3661

258618.4294

sw

Small

Low

Gravity

10000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-655303.9056

218997.6708

335086.1423

27990.8175

sw

Medium

Low

Gravity

10000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

0

0

289485.5994

76609.9675

sw

Large

Low

Gravity

10000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

0

-64.0104

272817.0482

217003.2373

sw

Small

Mid

Gravity

10000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-740910.4421

285105.4996

330420.1886

32786.6026

sw

Medium

Mid

Gravity

10000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

0

0

292910.9422

79968.9438

sw

Large

Mid

Gravity

10000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

0

0

268372.5944

259801.6116

sw

Small

High

Gravity

10000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-752949.8049

299131.2227

333447.1147

34679.0468

sw

Medium

High

Gravity

10000

non-haz

Annual O&M

34.735

0

0

0

0

0

0

0

0

292667.775

80353.2715

sw

Large

High

Gravity

10000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

0

268933.9874

256193.2518

sw

Small

Low

Gravity

15000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-751960.4934

391063.6776

219511.3385

27970.303

sw

Medium

Low

Gravity

15000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

0

0

214010.0674

78884.2913

sw

Large

Low

Gravity

15000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

3.1063

-421.9722

208947.5263

151995.2586

sw

Small

Mid

Gravity

15000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-837704.5411

457220.6587

214842.2504

32766.1011

sw

Medium

Mid

Gravity

15000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

0

0

217550.3678

82107.4056

sw

Large

Mid

Gravity

15000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

2.9574

-402.2759

208570.5531

152504.0607

sw

Small

High

Gravity

15000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-849615.2934

471182.5701

217870.8876

34658.6047

sw

Medium

High

Gravity

15000

non-haz

Annual O&M

34.735

0

0

0

0

0

0

0

-1270.5219

222367.9636

79291.6673

sw

Large

High

Gravity

15000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0435

-407.9239

209105.8333

150142.6098

sw

Small

Low

Gravity

20000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-778132.9298

452322.1283

161597.3902

27961.7537

sw

Medium

Low

Gravity

20000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

0

0

176291.9677

80242.4254

sw

Large

Low

Gravity

20000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

0

-64.597

161173.3565

215294.8982

sw

Small

Mid

Gravity

20000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-863805.9837

518451.297

156927.9439

32757.4523

sw

Medium

Mid

Gravity

20000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

0

0

179840.8933

83450.2078

sw

Large

Mid

Gravity

20000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

2.9625

-403.0647

171370.9449

151920.3755

sw

Small

High

Gravity

20000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-875945.8327

532521.2453

159943.4493

34650.1788

sw

Medium

High

Gravity

20000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

0

-1358.7924

184867.9854

80535.6235

sw

Large

High

Gravity

20000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0482

-408.7308

171908.9806

149450.0447

sw

Small

Low

Gravity

25000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-788043.8064

480858.0533

126819.2983

27957.146

sw

Medium

Low

Gravity

25000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

1639.6414

-12072.3682

178644.5597

69404.543

sw

Large

Low

Gravity

25000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

0

-64.7145

138844.6306

214952.8326

sw

Small

Mid

Gravity

25000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-873705.9321

546961.6412

122156.7658

32752.6553

sw

Medium

Mid

Gravity

25000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

1704.2299

-12327.776

182293.9488

72697.2791

sw

Large

Mid

Gravity

25000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

0

-62.1558

138969.6671

212547.342

105


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

25000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-885729.7813

560967.9696

125178.4708

34645.4088

sw

Medium

High

Gravity

25000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

0

-1804.6317

164050.9995

80446.4376

SW

Large

High

Gravity

25000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

0

-57.9972

139218.9217

211767.9863

sw

Small

Low

Gravity

30000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

30000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

30000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

30000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

30000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

30000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

30000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

30000

non-haz

Total Cap

tal

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

sw

Large

High

Gravity

30000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

35000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

35000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

35000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

35000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

35000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

35000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

35000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

35000

non-haz

Total Cap

tal

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

sw

Large

High

Gravity

35000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

40000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

40000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

40000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

40000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

40000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

40000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

40000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

40000

non-haz

Total Cap

tal

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

sw

Large

High

Gravity

40000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

45000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

45000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

45000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

45000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

45000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

45000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

45000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

45000

non-haz

Total Cap

tal

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

sw

Large

High

Gravity

45000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

50000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

50000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

50000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

50000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

50000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

50000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

106


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

50000

non-haz

Total Capital

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

50000

non-haz

Total Capital

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

SW

Large

High

Gravity

50000

non-haz

Total Capital

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

30000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-792740.8478

496414.8729

103633.3399

27953.766

sw

Medium

Low

Gravity

30000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

2047.557

-15421.1073

171442.7273

65831.0802

sw

Large

Low

Gravity

30000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

3.1102

-422.8136

134531.6902

150775.723

sw

Small

Mid

Gravity

30000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-878471.3832

562564.7983

98963.68

32749.4115

sw

Medium

Mid

Gravity

30000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

2118.0777

-15704.8655

175123.9301

69114.0348

sw

Large

Mid

Gravity

30000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

0

-62.2335

124082.8211

212356.094

sw

Small

High

Gravity

30000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-890499.1756

576568.7048

101984.1109

34642.1435

sw

Medium

High

Gravity

30000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

1644.9738

-13172.3627

171270.7288

70698.2142

sw

Large

High

Gravity

30000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.053

-409.5376

134712.1612

148756.874

sw

Small

Low

Gravity

35000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-795216.6807

505806.6316

87066.7389

27951.5145

sw

Medium

Low

Gravity

35000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

2132.5829

-16745.919

165323.9016

63174.8008

sw

Large

Low

Gravity

35000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

3.1108

-422.9335

123900.8299

150601.9529

sw

Small

Mid

Gravity

35000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-880846.5024

571910.0793

82399.2614

32747.429

sw

Medium

Mid

Gravity

35000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

2207.463

-17050.8762

169029.9264

66449.6158

sw

Large

Mid

Gravity

35000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

2.9692

-404.0768

123542.8391

151170.0719

sw

Small

High

Gravity

35000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-892855.2136

585898.0543

85423.5131

34639.8375

sw

Medium

High

Gravity

35000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

1731.4305

-14505.7019

165157.4931

68040.4418

sw

Large

High

Gravity

35000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0544

-409.7709

124084.5918

148558.1653

sw

Small

Low

Gravity

40000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-796693.6716

511916.2254

74639.3036

27950.1144

sw

Medium

Low

Gravity

40000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

2058.7078

-16857.3892

159492.2997

61419.2535

sw

Large

Low

Gravity

40000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

3.1112

-423.022

115927.6642

150471.5136

sw

Small

Mid

Gravity

40000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-882321.9354

578003.3076

69976.3566

32745.6989

sw

Medium

Mid

Gravity

40000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

2136.7483

-17177.4629

163215.5664

64688.3825

sw

Large

Mid

Gravity

40000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

2.9703

-404.2462

115571.4953

151045.2538

sw

Small

High

Gravity

40000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-894441.0717

592070.9271

72985.6315

34638.4544

sw

Medium

High

Gravity

40000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

1658.5773

-14623.25

159329.8202

66283.5528

sw

Large

High

Gravity

40000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0554

-409.9439

116113.8503

148409.4416

sw

Small

Low

Gravity

45000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-797502.071

516042.7921

64980.425

27948.7228

sw

Medium

Low

Gravity

45000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

2024.1324

-16837.7963

154347.2972

60200.2876

sw

Large

Low

Gravity

45000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

3.1052

-422.2712

109696.076

150654.8602

sw

Small

Mid

Gravity

45000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-883279.2412

582206.4885

60308.6259

32744.4316

sw

Medium

Mid

Gravity

45000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

2104.7814

-17170.7089

158085.9229

63464.3535

sw

Large

Mid

Gravity

45000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

2.9649

-403.5568

109341.2889

151233.0796

sw

Small

High

Gravity

45000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-895261.9097

596197.9994

63326.6218

34637.1461

sw

Medium

High

Gravity

45000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

1624.7661

-14608.1542

154186.9743

65064.5713

sw

Large

High

Gravity

45000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0499

-409.2575

109884.0834

148579.4744

sw

Small

Low

Gravity

50000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-798180.1361

519054.1014

57247.895

27947.6639

sw

Medium

Low

Gravity

50000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

2176.7898

-17805.0707

151713.082

58549.3672

sw

Large

Low

Gravity

50000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

3.0886

-420.1243

104653.7158

151339.7045

sw

Small

Mid

Gravity

50000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-883961.6809

585242.3022

52569.1706

32743.5967

sw

Medium

Mid

Gravity

50000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

2259.286

-18146.6061

155461.0244

61810.5502

sw

Large

Mid

Gravity

50000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

2.9486

-401.4571

104300.0261

151920.8815

107


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

50000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-895889.3295

599181.0501

55597.6706

34636.1334

sw

Medium

High

Gravity

50000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

1777.9698

-15578.522

151553.7949

63413.5349

SW

Large

High

Gravity

50000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.0337

-407.1606

104843.1765

149253.1411

sw

Small

Low

Gravity

55000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

55000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

55000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

55000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

55000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

55000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

55000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

55000

non-haz

Total Cap

tal

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

sw

Large

High

Gravity

55000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

60000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

60000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

60000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

60000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

60000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

60000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

60000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

60000

non-haz

Total Cap

tal

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

sw

Large

High

Gravity

60000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

65000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

65000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

65000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

65000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

65000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

65000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

65000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

65000

non-haz

Total Cap

tal

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

sw

Large

High

Gravity

65000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

70000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

70000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

70000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

70000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

70000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

70000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

sw

Small

High

Gravity

70000

non-haz

Total Cap

tal

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

70000

non-haz

Total Cap

tal

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

sw

Large

High

Gravity

70000

non-haz

Total Cap

tal

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

75000

non-haz

Total Cap

tal

30.095

0

0

0

0

0

0

-1281459.361

2163339.033

-89735.902

829825.997

sw

Medium

Low

Gravity

75000

non-haz

Total Cap

tal

34.024

0

0

0

0

0

0

2323.6228

-49013.6019

910462.7037

1493951.594

sw

Large

Low

Gravity

75000

non-haz

Total Cap

tal

35.621

0

0

0

0

0

0

6.5064

-1948.8489

565732.9385

2532745.806

sw

Small

Mid

Gravity

75000

non-haz

Total Cap

tal

29.22

0

0

0

0

0

0

-1066999.862

1783021.413

214961.9487

981685.0453

sw

Medium

Mid

Gravity

75000

non-haz

Total Cap

tal

33.482

0

0

0

0

0

0

1676.5458

-38879.764

945256.0752

1888966.945

sw

Large

Mid

Gravity

75000

non-haz

Total Cap

tal

35.079

0

0

0

0

0

0

5.9022

-1720.4962

556962.1631

3998799.813

108


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

75000

non-haz

Total Capital

31.155

0

0

0

0

0

0

-841567.548

1416348.991

453411.6132

1037706.132

sw

Medium

High

Gravity

75000

non-haz

Total Capital

34.729

0

0

0

0

0

0

1718.4988

-40235.0004

1018912.538

2019122.046

SW

Large

High

Gravity

75000

non-haz

Total Capital

35.763

0

0

0

0

0

0

6.9161

-2183.0783

643185.9908

4001841.938

sw

Small

Low

Gravity

55000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-798709.8227

521316.6563

50915.3064

27946.7883

sw

Medium

Low

Gravity

55000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

2307.2584

-18738.2912

150011.3168

56895.3275

sw

Large

Low

Gravity

55000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

3.0656

-417.1154

100480.0918

152391.2826

sw

Small

Mid

Gravity

55000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-884184.3144

587338.0875

46258.8618

32742.2695

sw

Medium

Mid

Gravity

55000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

2391.3872

-19087.5486

153767.6283

60153.962

sw

Large

Mid

Gravity

55000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

2.926

-398.4906

100127.3529

152975.2363

sw

Small

High

Gravity

55000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-896340.1072

601395.1837

49273.3809

34634.9209

sw

Medium

High

Gravity

55000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

1908.8452

-16513.9601

149851.7392

61760.2244

sw

Large

High

Gravity

55000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

3.011

-404.1937

100670.7427

150296.0063

sw

Small

Low

Gravity

60000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-798896.9431

522929.4901

45653.1341

27945.9024

sw

Medium

Low

Gravity

60000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

2371.6519

-19299.5146

148352.5729

55524.1078

sw

Large

Low

Gravity

60000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

3.0369

-413.3366

96953.3533

153763.7771

sw

Small

Mid

Gravity

60000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-884586.5539

589066.5937

40979.2476

32741.8711

sw

Medium

Mid

Gravity

60000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

2457.1279

-19655.1467

152115.8062

58780.8074

sw

Large

Mid

Gravity

60000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

2.8976

-394.7458

96601.3844

154350.1202

sw

Small

High

Gravity

60000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-896499.9137

603004.741

44008.3979

34634.2059

sw

Medium

High

Gravity

60000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

1973.7208

-17078.1529

148195.5015

60387.9226

sw

Large

High

Gravity

60000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.9825

-400.4507

97145.0546

151660.4727

sw

Small

Low

Gravity

65000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-799019.5728

524173.5958

41200.0943

27945.095

sw

Medium

Low

Gravity

65000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

2394.4022

-19612.4851

146745.9935

54384.9443

sw

Large

Low

Gravity

65000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

3.0152

-410.472

93981.1132

154820.1533

sw

Small

Mid

Gravity

65000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-884762.6872

590315.3621

36532.4174

32740.5935

sw

Medium

Mid

Gravity

65000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

2481.0166

-19973.6181

150515.6671

57639.317

sw

Large

Mid

Gravity

65000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

2.8762

-391.9073

93629.7202

155408.7094

sw

Small

High

Gravity

65000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-896841.4237

604375.4337

39537.7676

34633.8644

sw

Medium

High

Gravity

65000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

1996.7203

-17392.4915

146588.6921

59249.2033

sw

Large

High

Gravity

65000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.961

-397.614

94173.6072

152710.8236

sw

Small

Low

Gravity

70000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-799118.2751

525170.0815

37381.2242

27944.5198

sw

Medium

Low

Gravity

70000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

2363.4202

-19562.9464

144820.4818

53595.8589

sw

Large

Low

Gravity

70000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

2.9945

-407.7157

91420.1207

155899.0953

sw

Small

Mid

Gravity

70000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-884975.2452

591384.0789

32700.2692

32740.6734

sw

Medium

Mid

Gravity

70000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

2451.1416

-19929.7702

148597.5566

56847.7182

sw

Large

Mid

Gravity

70000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

2.8557

-389.1765

91069.297

156489.3416

sw

Small

High

Gravity

70000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-897102.2317

605439.2713

35712.2536

34633.2716

sw

Medium

High

Gravity

70000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

1966.1943

-17345.7537

144666.0297

58458.9849

sw

Large

High

Gravity

70000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.9406

-394.8844

91613.3536

153784.3556

sw

Small

Low

Gravity

75000

non-haz

Annual O&M

30.095

0

0

0

0

0

0

-799441.3448

526106.8602

34053.1854

27944.3783

sw

Medium

Low

Gravity

75000

non-haz

Annual O&M

34.024

0

0

0

0

0

0

2238.9038

-18943.6832

142293.3968

53200.4987

sw

Large

Low

Gravity

75000

non-haz

Annual O&M

35.621

0

0

0

0

0

0

2.9797

-405.7372

89216.3198

156673.3209

sw

Small

Mid

Gravity

75000

non-haz

Annual O&M

29.22

0

0

0

0

0

0

-885151.1359

592235.4329

29385.5761

32740.0709

sw

Medium

Mid

Gravity

75000

non-haz

Annual O&M

33.482

0

0

0

0

0

0

2327.2884

-19313.2678

146072.378

56452.1888

sw

Large

Mid

Gravity

75000

non-haz

Annual O&M

35.079

0

0

0

0

0

0

2.8411

-387.2179

88865.9545

157265.0755

109


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

75000

non-haz

Annual O&M

31.155

0

0

0

0

0

0

-897249.4508

606285.2461

32395.6695

34632.7775

sw

Medium

High

Gravity

75000

non-haz

Annual O&M

34.729

0

0

0

0

0

0

1841.7892

-16726.9892

142137.5816

58064.6618

SW

Large

High

Gravity

75000

non-haz

Annual O&M

35.763

0

0

0

0

0

0

2.9259

-392.9276

89410.1847

154553.8478

GW

Small

Low

Pressure

5000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

5000

haz

Total Cap

tal

34.165

0

0

0

0

0

0

-2204.6567

23830.3241

793506.3115

1504948.47

GW

Large

Low

Pressure

5000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5738

-476.4487

581178.4286

3451620.657

GW

Small

Mid

Pressure

5000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

5000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

5000

haz

Total Cap

tal

34.7

0

0

0

0

0

0

10.1298

-237.2104

642538.8427

4627318.984

GW

Small

High

Pressure

5000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

5000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

5000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3087

-748.0259

900892.6186

6851542.74

GW

Small

Low

Pressure

10000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

10000

haz

Total Cap

tal

34.165

0

0

0

0

0

0

-2204.6567

23830.3241

793506.3115

1504948.47

GW

Large

Low

Pressure

10000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.6145

-486.9148

581757.9749

3444717.259

GW

Small

Mid

Pressure

10000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

10000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

10000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1705

-247.6765

643118.3891

4620415.585

GW

Small

High

Pressure

10000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

10000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

10000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3483

-758.2982

901463.688

6844725.123

GW

Small

Low

Pressure

15000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

15000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

15000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

15000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

15000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

15000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

GW

Small

High

Pressure

15000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

15000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

15000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

20000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

20000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

20000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

20000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

20000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

20000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

GW

Small

High

Pressure

20000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

20000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

20000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

25000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

25000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

25000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

25000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

25000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

25000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

110


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

25000

haz

Total Capital

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

25000

haz

Total Capital

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

25000

haz

Total Capital

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

5000

haz

Annual O&M

21.605

0

0

0

0

0

0

3285811.774

-1884614.614

992203.0012

14540.3991

GW

Medium

Low

Pressure

5000

haz

Annual O&M

34.165

0

0

0

0

0

0

3670.2654

-27110.0642

789604.6564

46659.716

GW

Large

Low

Pressure

5000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

251.4776

706757.962

224250.4486

GW

Small

Mid

Pressure

5000

haz

Annual O&M

21.865

0

0

0

0

0

0

2898587.198

-1664639.247

967989.6747

15253.2076

GW

Medium

Mid

Pressure

5000

haz

Annual O&M

33.482

0

0

0

0

0

0

3851.1402

-28284.4413

793768.0138

49438.6324

GW

Large

Mid

Pressure

5000

haz

Annual O&M

34.7

0

0

0

0

0

0

0

262.125

706643.7074

225405.3004

GW

Small

High

Pressure

5000

haz

Annual O&M

24.33

0

0

0

0

0

0

3068948.195

-1774852.693

995939.8754

16264.2607

GW

Medium

High

Pressure

5000

haz

Annual O&M

35.324

0

0

0

0

0

0

3326.9129

-26499.0659

800046.1726

52798.2026

GW

Large

High

Pressure

5000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

330.4724

707751.2699

249379.4795

GW

Small

Low

Pressure

10000

haz

Annual O&M

21.605

0

0

0

0

0

0

2081176.324

-1413690.873

644829.5458

7806.4536

GW

Medium

Low

Pressure

10000

haz

Annual O&M

34.165

0

0

0

0

0

0

2856.565

-20721.0328

442852.841

44606.206

GW

Large

Low

Pressure

10000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

239.3601

373401.431

217746.9589

GW

Small

Mid

Pressure

10000

haz

Annual O&M

21.865

0

0

0

0

0

0

1696739.621

-1195173.088

620777.3535

8518.8389

GW

Medium

Mid

Pressure

10000

haz

Annual O&M

33.482

0

0

0

0

0

0

3056.0727

-22015.2897

447177.6246

47333.3259

GW

Large

Mid

Pressure

10000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

250.7288

373223.9263

219351.7504

GW

Small

High

Pressure

10000

haz

Annual O&M

24.33

0

0

0

0

0

0

1867181.477

-1305464.053

648736.9652

9529.4393

GW

Medium

High

Pressure

10000

haz

Annual O&M

35.324

0

0

0

0

0

0

0

0

408618.1177

72942.7622

GW

Large

High

Pressure

10000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

320.5178

374205.0545

244225.0083

GW

Small

Low

Pressure

15000

haz

Annual O&M

21.605

0

0

0

0

0

0

1196707.509

-910060.6597

476002.5482

6445.1888

GW

Medium

Low

Pressure

15000

haz

Annual O&M

34.171

0

0

0

0

0

0

2419.6735

-17225.3409

323953.9255

46012.0459

GW

Large

Low

Pressure

15000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

235.3214

262282.5426

215579.5436

GW

Small

Mid

Pressure

15000

haz

Annual O&M

21.865

0

0

0

0

0

0

813050.7627

-691948.7761

451995.9777

7157.5312

GW

Medium

Mid

Pressure

15000

haz

Annual O&M

33.482

0

0

0

0

0

0

2606.3426

-18426.8915

328104.6116

48813.6144

GW

Large

Mid

Pressure

15000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

246.9299

262084.01

217333.6852

GW

Small

High

Pressure

15000

haz

Annual O&M

24.33

0

0

0

0

0

0

983652.2656

-802333.0567

479964.4663

8168.0709

GW

Medium

High

Pressure

15000

haz

Annual O&M

35.324

0

0

0

0

0

0

1980.1897

-16105.5618

333960.5309

52146.5982

GW

Large

High

Pressure

15000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

317.1999

263022.9602

242507.3443

GW

Small

Low

Pressure

20000

haz

Annual O&M

21.605

0

0

0

0

0

0

1140974.411

-812524.1342

401294.8294

5612.7464

GW

Medium

Low

Pressure

20000

haz

Annual O&M

34.171

0

0

0

0

0

0

1906.3315

-13038.943

258558.2515

50636.6859

GW

Large

Low

Pressure

20000

haz

Annual O&M

35.979

0

0

0

0

0

0

2.2281

-42.0438

215513.024

155778.7925

GW

Small

Mid

Pressure

20000

haz

Annual O&M

21.865

0

0

0

0

0

0

757707.9488

-594628.022

377313.8654

6324.9529

GW

Medium

Mid

Pressure

20000

haz

Annual O&M

33.482

0

0

0

0

0

0

2091.7803

-14230.1686

262683.4462

53450.8223

GW

Large

Mid

Pressure

20000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

245.0305

206514.0567

216324.5611

GW

Small

High

Pressure

20000

haz

Annual O&M

24.33

0

0

0

0

0

0

928431.2688

-705077.0014

405288.7887

7335.5771

GW

Medium

High

Pressure

20000

haz

Annual O&M

35.324

0

0

0

0

0

0

1452.7697

-11841.0226

268484.9258

56781.3304

GW

Large

High

Pressure

20000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

315.5406

207431.9414

241648.0166

GW

Small

Low

Pressure

25000

haz

Annual O&M

21.605

0

0

0

0

0

0

1115441.217

-765254.1605

356449.8008

5113.7132

GW

Medium

Low

Pressure

25000

haz

Annual O&M

34.171

0

0

0

0

0

0

1648.4901

-10873.4609

219891.7785

53404.5979

GW

Large

Low

Pressure

25000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

232.0899

173387.4837

213845.1138

GW

Small

Mid

Pressure

25000

haz

Annual O&M

21.865

0

0

0

0

0

0

732677.9165

-547602.5568

332495.7345

5825.6666

GW

Medium

Mid

Pressure

25000

haz

Annual O&M

33.482

0

0

0

0

0

0

1833.2475

-12059.0903

224003.2961

56225.4992

GW

Large

Mid

Pressure

25000

haz

Annual O&M

34.711

0

0

0

0

0

0

2.1918

-26.9695

181818.7861

157959.0742

111


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

25000

haz

Annual O&M

24.33

0

0

0

0

0

0

903105.4377

-657899.375

360449.0258

6836.7152

GW

Medium

High

Pressure

25000

haz

Annual O&M

35.324

0

0

0

0

0

0

0

0

208047.2175

70457.075

GW

Large

High

Pressure

25000

haz

Annual O&M

35.642

0

0

0

0

0

0

2.4807

7.9757

183863.9531

175758.0129

GW

Small

Low

Pressure

30000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

30000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

30000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

30000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

30000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

30000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

GW

Small

High

Pressure

30000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

30000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

30000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

35000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

35000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

35000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

35000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

35000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

35000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

GW

Small

High

Pressure

35000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

35000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

35000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

40000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

40000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

40000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

40000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

40000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

40000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

GW

Small

High

Pressure

40000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

40000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

40000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

45000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

45000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

45000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

45000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

45000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

45000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

GW

Small

High

Pressure

45000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

45000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

45000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

50000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

50000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

50000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

50000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

50000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

50000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

112


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

50000

haz

Total Capital

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

50000

haz

Total Capital

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

50000

haz

Total Capital

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

30000

haz

Annual O&M

21.605

0

0

0

0

0

0

1101251.169

-738527.8953

326552.953

4780.7093

GW

Medium

Low

Pressure

30000

haz

Annual O&M

34.171

0

0

0

0

0

0

1618.2908

-10474.3191

196127.7573

54687.4971

GW

Large

Low

Pressure

30000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

231.2821

151163.7209

213411.5815

GW

Small

Mid

Pressure

30000

haz

Annual O&M

21.865

0

0

0

0

0

0

718568.0164

-520908.42

302598.3397

5493.1154

GW

Medium

Mid

Pressure

30000

haz

Annual O&M

33.482

0

0

0

0

0

0

1802.6081

-11656.055

200229.4727

57513.0856

GW

Large

Mid

Pressure

30000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

243.1308

150944.1091

215315.6385

GW

Small

High

Pressure

30000

haz

Annual O&M

24.33

0

0

0

0

0

0

889193.3837

-631314.1166

330567.1825

6503.7062

GW

Medium

High

Pressure

30000

haz

Annual O&M

35.324

0

0

0

0

0

0

0

0

185524.1248

71001.4732

GW

Large

High

Pressure

30000

haz

Annual O&M

35.642

0

0

0

0

0

0

2.4722

8.3629

161593.998

175638.299

GW

Small

Low

Pressure

35000

haz

Annual O&M

21.605

0

0

0

0

0

0

1092344.139

-721804.8905

305195.6377

4543.151

GW

Medium

Low

Pressure

35000

haz

Annual O&M

34.171

0

0

0

0

0

0

1708.9666

-11040.3143

180897.2984

54945.9382

GW

Large

Low

Pressure

35000

haz

Annual O&M

35.979

0

0

0

0

0

0

2.1918

-40.1558

143936.3114

155341.768

GW

Small

Mid

Pressure

35000

haz

Annual O&M

21.865

0

0

0

0

0

0

709612.879

-504186.2669

281244.6344

5255.5251

GW

Medium

Mid

Pressure

35000

haz

Annual O&M

33.482

0

0

0

0

0

0

1892.8691

-12218.7814

184991.3478

57775.2345

GW

Large

Mid

Pressure

35000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

242.5883

135066.9753

215027.1845

GW

Small

High

Pressure

35000

haz

Annual O&M

24.33

0

0

0

0

0

0

880329.7582

-614632.6979

309216.8012

6266.0274

GW

Medium

High

Pressure

35000

haz

Annual O&M

35.324

0

0

0

0

0

0

0

-889.8801

173319.4724

68955.7446

GW

Large

High

Pressure

35000

haz

Annual O&M

35.642

0

0

0

0

0

0

2.4662

8.6385

145686.9073

175552.735

GW

Small

Low

Pressure

40000

haz

Annual O&M

21.605

0

0

0

0

0

0

1086251.157

-710570.0411

289178.6981

4365.0519

GW

Medium

Low

Pressure

40000

haz

Annual O&M

34.171

0

0

0

0

0

0

1867.0334

-12185.5992

171104.2014

54299.3673

GW

Large

Low

Pressure

40000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

230.2721

123384.0258

212869.3839

GW

Small

Mid

Pressure

40000

haz

Annual O&M

21.865

0

0

0

0

0

0

703550.7018

-492984.0388

265234.5988

5077.1823

GW

Medium

Mid

Pressure

40000

haz

Annual O&M

33.482

0

0

0

0

0

0

2050.7025

-13362.046

175192.9549

57131.6563

GW

Large

Mid

Pressure

40000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

242.181

123159.1407

214810.8664

GW

Small

High

Pressure

40000

haz

Annual O&M

24.33

0

0

0

0

0

0

874196.844

-603396.8446

293202.7476

6087.9336

GW

Medium

High

Pressure

40000

haz

Annual O&M

35.324

0

0

0

0

0

0

1392.556

-10872.1882

180914.7001

60457.1982

GW

Large

High

Pressure

40000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

313.0522

124045.3645

240359.7897

GW

Small

Low

Pressure

45000

haz

Annual O&M

21.605

0

0

0

0

0

0

1081624.069

-702512.3398

276712.6855

4226.4445

GW

Medium

Low

Pressure

45000

haz

Annual O&M

34.171

0

0

0

0

0

0

2037.9582

-13478.6488

164461.6167

53217.2043

GW

Large

Low

Pressure

45000

haz

Annual O&M

35.979

0

0

0

0

0

0

2.181

-39.5963

122728.3986

155212.1184

GW

Small

Mid

Pressure

45000

haz

Annual O&M

21.865

0

0

0

0

0

0

698992.175

-484951.1709

252768.5712

4938.7754

GW

Medium

Mid

Pressure

45000

haz

Annual O&M

33.482

0

0

0

0

0

0

2221.4044

-14653.0322

168544.9848

56052.0861

GW

Large

Mid

Pressure

45000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

241.8644

113897.4831

214642.7825

GW

Small

High

Pressure

45000

haz

Annual O&M

24.33

0

0

0

0

0

0

869714.251

-595396.5428

280739.1672

5949.4919

GW

Medium

High

Pressure

45000

haz

Annual O&M

35.324

0

0

0

0

0

0

1561.1847

-12152.4767

174259.2478

59376.3143

GW

Large

High

Pressure

45000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

312.7756

114780.204

240216.5051

GW

Small

Low

Pressure

50000

haz

Annual O&M

21.605

0

0

0

0

0

0

1078400.583

-696708.3029

266758.4471

4115.1883

GW

Medium

Low

Pressure

50000

haz

Annual O&M

34.171

0

0

0

0

0

0

2203.3087

-14755.626

159745.5173

51982.009

GW

Large

Low

Pressure

50000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

229.6666

106716.1619

212544.6376

GW

Small

Mid

Pressure

50000

haz

Annual O&M

21.865

0

0

0

0

0

0

695771.0923

-479141.9062

242811.6575

4827.8253

GW

Medium

Mid

Pressure

50000

haz

Annual O&M

33.482

0

0

0

0

0

0

2386.7205

-15929.7597

163828.0943

54817.3424

GW

Large

Mid

Pressure

50000

haz

Annual O&M

34.711

0

0

0

0

0

0

2.1607

-25.4067

115012.1689

157567.8858

113


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

50000

haz

Annual O&M

24.33

0

0

0

0

0

0

866345.0556

-589523.5063

270777.4909

5838.5553

GW

Medium

High

Pressure

50000

haz

Annual O&M

35.324

0

0

0

0

0

0

1724.7951

-13420.145

169534.8175

58141.6034

GW

Large

High

Pressure

50000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

312.5546

107368.0533

240102.0653

GW

Small

Low

Pressure

55000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

55000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

55000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

55000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

55000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

55000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

GW

Small

High

Pressure

55000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

55000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

55000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

60000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

60000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

60000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

60000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

60000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

60000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

GW

Small

High

Pressure

60000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

60000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

60000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

65000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

65000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

65000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

65000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

65000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

65000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

GW

Small

High

Pressure

65000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

65000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

65000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

70000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

70000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

70000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

70000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

70000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

70000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

GW

Small

High

Pressure

70000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

70000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

70000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

75000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

GW

Medium

Low

Pressure

75000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

GW

Large

Low

Pressure

75000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

GW

Small

Mid

Pressure

75000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

GW

Medium

Mid

Pressure

75000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

GW

Large

Mid

Pressure

75000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

114


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

75000

haz

Total Capital

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

GW

Medium

High

Pressure

75000

haz

Total Capital

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

GW

Large

High

Pressure

75000

haz

Total Capital

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

GW

Small

Low

Pressure

55000

haz

Annual O&M

21.605

0

0

0

0

0

0

1075515.641

-692112.1552

258595.8439

4024.6782

GW

Medium

Low

Pressure

55000

haz

Annual O&M

34.171

0

0

0

0

0

0

2396.8344

-16288.149

157037.703

50384.589

GW

Large

Low

Pressure

55000

haz

Annual O&M

35.979

0

0

0

0

0

0

2.1742

-39.2415

109232.4883

155129.4071

GW

Small

Mid

Pressure

55000

haz

Annual O&M

21.865

0

0

0

0

0

0

693299.4201

-474752.2609

234673.9645

4736.6583

GW

Medium

Mid

Pressure

55000

haz

Annual O&M

33.482

0

0

0

0

0

0

2580.0342

-17460.6307

161116.4324

53221.9092

GW

Large

Mid

Pressure

55000

haz

Annual O&M

34.711

0

0

0

0

0

0

2.1579

-25.2659

108938.88

157532.2266

GW

Small

High

Pressure

55000

haz

Annual O&M

24.33

0

0

0

0

0

0

863752.9907

-585061.296

262628.2431

5747.7697

GW

Medium

High

Pressure

55000

haz

Annual O&M

35.324

0

0

0

0

0

0

1916.7185

-14943.7378

166817.5799

56545.5598

GW

Large

High

Pressure

55000

haz

Annual O&M

35.642

0

0

0

0

0

0

2.4529

9.2394

110980.573

175365.676

GW

Small

Low

Pressure

60000

haz

Annual O&M

21.605

0

0

0

0

0

0

1073308.67

-688554.8895

251796.0847

3949.3629

GW

Medium

Low

Pressure

60000

haz

Annual O&M

34.171

0

0

0

0

0

0

2551.1818

-17523.5722

154742.4822

48993.0812

GW

Large

Low

Pressure

60000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

229.2626

95604.2888

212327.7746

GW

Small

Mid

Pressure

60000

haz

Annual O&M

21.865

0

0

0

0

0

0

691038.1543

-471164.7043

227869.8097

4661.4595

GW

Medium

Mid

Pressure

60000

haz

Annual O&M

33.482

0

0

0

0

0

0

2734.2339

-18694.8488

158818.4998

51831.6247

GW

Large

Mid

Pressure

60000

haz

Annual O&M

34.711

0

0

0

0

0

0

2.1555

-25.1488

103877.8418

157501.7994

GW

Small

High

Pressure

60000

haz

Annual O&M

24.33

0

0

0

0

0

0

861848.6207

-581690.0709

255857.8485

5671.569

GW

Medium

High

Pressure

60000

haz

Annual O&M

35.324

0

0

0

0

0

0

2069.7629

-16171.8988

164514.9368

55154.9051

GW

Large

High

Pressure

60000

haz

Annual O&M

35.642

0

0

0

0

0

0

2.451

9.3265

105919.2395

175338.3943

GW

Small

Low

Pressure

65000

haz

Annual O&M

21.605

0

0

0

0

0

0

1071743.115

-685844.0678

246063.8973

3884.8817

GW

Medium

Low

Pressure

65000

haz

Annual O&M

34.171

0

0

0

0

0

0

2659.0441

-18396.1353

152457.752

47902.3891

GW

Large

Low

Pressure

65000

haz

Annual O&M

35.979

0

0

0

0

0

0

2.1695

-38.9958

99889.1588

155072.3305

GW

Small

Mid

Pressure

65000

haz

Annual O&M

21.865

0

0

0

0

0

0

689263.914

-468367.6915

222130.3133

4597.2236

GW

Medium

Mid

Pressure

65000

haz

Annual O&M

33.482

0

0

0

0

0

0

2842.0031

-19566.5392

156531.4821

50742.0732

GW

Large

Mid

Pressure

65000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

241.0855

91099.5221

214228.9703

GW

Small

High

Pressure

65000

haz

Annual O&M

24.33

0

0

0

0

0

0

859811.9176

-578721.3285

250088.1805

5608.0875

GW

Medium

High

Pressure

65000

haz

Annual O&M

35.324

0

0

0

0

0

0

2176.4972

-17038.0233

16222? 7943

54065.9791

GW

Large

High

Pressure

65000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

312.095

91973.6221

239864.0016

GW

Small

Low

Pressure

70000

haz

Annual O&M

21.605

0

0

0

0

0

0

1070021.56

-683428.5497

241122.7437

3830.2835

GW

Medium

Low

Pressure

70000

haz

Annual O&M

34.171

0

0

0

0

0

0

2734.2814

-19013.0776

150239.138

47034.6904

GW

Large

Low

Pressure

70000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

228.9738

87667.2478

212172.6554

GW

Small

Mid

Pressure

70000

haz

Annual O&M

21.865

0

0

0

0

0

0

687715.4419

-466021.8537

217194.5419

4542.6289

GW

Medium

Mid

Pressure

70000

haz

Annual O&M

33.482

0

0

0

0

0

0

2917.1851

-20183.1488

154312.1986

49874.6058

GW

Large

Mid

Pressure

70000

haz

Annual O&M

34.711

0

0

0

0

0

0

2.1518

-24.9642

95924.7173

157454.9004

GW

Small

High

Pressure

70000

haz

Annual O&M

24.33

0

0

0

0

0

0

858466.1508

-576498.7779

245172.2671

5553.0164

GW

Medium

High

Pressure

70000

haz

Annual O&M

35.324

0

0

0

0

0

0

2250.9296

-17650.8327

160001.2786

53197.4986

GW

Large

High

Pressure

70000

haz

Annual O&M

35.642

0

0

0

0

0

0

2.448

9.4625

97965.7632

175294.9723

GW

Small

Low

Pressure

75000

haz

Annual O&M

21.605

0

0

0

0

0

0

1068823.161

-681555.232

236859.0566

3782.5948

GW

Medium

Low

Pressure

75000

haz

Annual O&M

34.171

0

0

0

0

0

0

2796.4715

-19546.0465

148377.3514

46210.5023

GW

Large

Low

Pressure

75000

haz

Annual O&M

35.979

0

0

0

0

0

0

2.166

-38.8151

93037.3837

155030.2859

GW

Small

Mid

Pressure

75000

haz

Annual O&M

21.865

0

0

0

0

0

0

686549.9831

-464173.0724

212934.0728

4494.8488

GW

Medium

Mid

Pressure

75000

haz

Annual O&M

33.482

0

0

0

0

0

0

2979.2482

-20715.0917

152448.0697

49051.58

GW

Large

Mid

Pressure

75000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

240.8516

84260.1517

214104.8537

115


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

Pressure

75000

haz

Annual O&M

24.33

0

0

0

0

0

0

857117.2271

-574550.5218

240897.9619

5505.635

GW

Medium

High

Pressure

75000

haz

Annual O&M

35.324

0

0

0

0

0

0

2312.2738

-18179.062

158134.6934

52373.7192

GW

Large

High

Pressure

75000

haz

Annual O&M

35.642

0

0

0

0

0

0

2.4468

9.5181

94784.3396

175277.9677

SW

Small

Low

Pressure

5000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

SW

Medium

Low

Pressure

5000

haz

Total Cap

tal

34.165

0

0

0

0

0

0

-2204.6567

23830.3241

793506.3115

1504948.47

SW

Large

Low

Pressure

5000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5738

-476.4487

581178.4286

3451620.657

SW

Small

Mid

Pressure

5000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

5000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

SW

Large

Mid

Pressure

5000

haz

Total Cap

tal

34.7

0

0

0

0

0

0

10.1298

-237.2104

642538.8427

4627318.984

SW

Small

High

Pressure

5000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

SW

Medium

High

Pressure

5000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

SW

Large

High

Pressure

5000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3087

-748.0259

900892.6186

6851542.74

SW

Small

Low

Pressure

10000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

SW

Medium

Low

Pressure

10000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

SW

Large

Low

Pressure

10000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.6145

-486.9148

581757.9749

3444717.259

SW

Small

Mid

Pressure

10000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

10000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

SW

Large

Mid

Pressure

10000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1705

-247.6765

643118.3891

4620415.585

SW

Small

High

Pressure

10000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

SW

Medium

High

Pressure

10000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

SW

Large

High

Pressure

10000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3483

-758.2982

901463.688

6844725.123

SW

Small

Low

Pressure

15000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

SW

Medium

Low

Pressure

15000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

SW

Large

Low

Pressure

15000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

SW

Small

Mid

Pressure

15000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

15000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

SW

Large

Mid

Pressure

15000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

SW

Small

High

Pressure

15000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

SW

Medium

High

Pressure

15000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

SW

Large

High

Pressure

15000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

SW

Small

Low

Pressure

20000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

SW

Medium

Low

Pressure

20000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

SW

Large

Low

Pressure

20000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

SW

Small

Mid

Pressure

20000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

20000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

SW

Large

Mid

Pressure

20000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

SW

Small

High

Pressure

20000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

SW

Medium

High

Pressure

20000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

SW

Large

High

Pressure

20000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

SW

Small

Low

Pressure

25000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

SW

Medium

Low

Pressure

25000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

SW

Large

Low

Pressure

25000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

SW

Small

Mid

Pressure

25000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

SW

Medium

Mid

Pressure

25000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

SW

Large

Mid

Pressure

25000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

116


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

25000

haz

Total Capital

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

sw

Medium

High

Pressure

25000

haz

Total Capital

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

SW

Large

High

Pressure

25000

haz

Total Capital

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

sw

Small

Low

Pressure

5000

haz

Annual O&M

21.605

0

0

0

0

0

0

2890926.402

-1670769.014

956710.8322

16629.4625

sw

Medium

Low

Pressure

5000

haz

Annual O&M

34.165

0

0

0

0

0

0

4929.6376

-31983.6205

799889.4083

42534.8851

sw

Large

Low

Pressure

5000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

221.0659

714369.4437

220811.0287

sw

Small

Mid

Pressure

5000

haz

Annual O&M

21.865

0

0

0

0

0

0

2532635.499

-1459462.205

932043.4326

17400.6598

sw

Medium

Mid

Pressure

5000

haz

Annual O&M

33.482

0

0

0

0

0

0

5194.9748

-33526.0301

804674.9625

45081.0048

sw

Large

Mid

Pressure

5000

haz

Annual O&M

34.7

0

0

0

0

0

0

0

232.5375

714306.0752

221600.1435

sw

Small

High

Pressure

5000

haz

Annual O&M

24.33

0

0

0

0

0

0

2685714.58

-1560847.612

958955.2788

18356.132

sw

Medium

High

Pressure

5000

haz

Annual O&M

35.324

0

0

0

0

0

0

0

0

750295.6461

76080.7752

sw

Large

High

Pressure

5000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

303.7888

716042.0219

243517.3907

sw

Small

Low

Pressure

10000

haz

Annual O&M

21.605

0

0

0

0

0

0

2019366.736

-1372032.785

634940.6118

8390.8391

sw

Medium

Low

Pressure

10000

haz

Annual O&M

34.171

0

0

0

0

0

0

3819.1009

-24101.7936

451592.7703

40990.8607

sw

Large

Low

Pressure

10000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

208.3377

380985.7991

215233.19

sw

Small

Mid

Pressure

10000

haz

Annual O&M

21.865

0

0

0

0

0

0

1664210.968

-1162418.922

610476.6453

9160.6073

sw

Medium

Mid

Pressure

10000

haz

Annual O&M

33.482

0

0

0

0

0

0

4089.3901

-25663.1268

456358.4549

43559.9785

sw

Large

Mid

Pressure

10000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

220.5709

380860.5644

216411.1249

sw

Small

High

Pressure

10000

haz

Annual O&M

24.33

0

0

0

0

0

0

1817408.027

-1263901.629

637397.7058

10115.863

sw

Medium

High

Pressure

10000

haz

Annual O&M

35.324

0

0

0

0

0

0

0

-1724.1421

424759.679

62767.5285

sw

Large

High

Pressure

10000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

293.3462

382472.6998

239107.0445

sw

Small

Low

Pressure

15000

haz

Annual O&M

21.605

0

0

0

0

0

0

1075855.772

-841832.2426

464424.0859

6787.1082

sw

Medium

Low

Pressure

15000

haz

Annual O&M

34.171

0

0

0

0

0

0

3202.7614

-19659.3262

331558.2597

42741.2435

sw

Large

Low

Pressure

15000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

204.0949

269857.9315

213373.5803

sw

Small

Mid

Pressure

15000

haz

Annual O&M

21.865

0

0

0

0

0

0

721729.6563

-632772.5865

440026.3297

7556.488

sw

Medium

Mid

Pressure

15000

haz

Annual O&M

33.482

0

0

0

0

0

0

3469.7484

-21195.9149

336268.8414

45336.4075

sw

Large

Mid

Pressure

15000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

216.582

269712.0631

214681.3858

sw

Small

High

Pressure

15000

haz

Annual O&M

24.33

0

0

0

0

0

0

874986.8192

-734316.2616

466959.2727

8511.4242

sw

Medium

High

Pressure

15000

haz

Annual O&M

35.324

0

0

0

0

0

0

2379.5739

-16756.3053

339936.2909

49384.6496

sw

Large

High

Pressure

15000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

289.8654

271282.914

237637.1565

sw

Small

Low

Pressure

20000

haz

Annual O&M

21.605

0

0

0

0

0

0

1023546.939

-747267.0123

390780.7556

5785.9255

sw

Medium

Low

Pressure

20000

haz

Annual O&M

34.171

0

0

0

0

0

0

2466.936

-14221.7036

264346.2365

48039.167

sw

Large

Low

Pressure

20000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

201.9738

214293.9674

212444.4452

sw

Small

Mid

Pressure

20000

haz

Annual O&M

21.865

0

0

0

0

0

0

670002.4158

-538524.6035

366425.3494

6554.621

sw

Medium

Mid

Pressure

20000

haz

Annual O&M

33.482

0

0

0

0

0

0

2732.2733

-15745.9421

269029.4726

50647.2651

sw

Large

Mid

Pressure

20000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

214.5879

214137.7846

213816.6608

sw

Small

High

Pressure

20000

haz

Annual O&M

24.33

0

0

0

0

0

0

823164.8135

-639985.2779

393336.8626

7510.3042

sw

Medium

High

Pressure

20000

haz

Annual O&M

35.324

0

0

0

0

0

0

0

0

250891.2807

64575.8752

sw

Large

High

Pressure

20000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

288.1247

215688.0524

236901.686

sw

Small

Low

Pressure

25000

haz

Annual O&M

21.605

0

0

0

0

0

0

1000038.313

-701714.3863

346559.4451

5185.6192

sw

Medium

Low

Pressure

25000

haz

Annual O&M

34.171

0

0

0

0

0

0

2103.8421

-11450.1471

224765.5493

51179.5438

sw

Large

Low

Pressure

25000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

200.7009

180955.6073

211886.5957

sw

Small

Mid

Pressure

25000

haz

Annual O&M

21.865

0

0

0

0

0

0

646618.5232

-493042.1035

322209.0159

5954.6807

sw

Medium

Mid

Pressure

25000

haz

Annual O&M

33.482

0

0

0

0

0

0

2368.3564

-12967.7543

229432.8491

53795.3041

sw

Large

Mid

Pressure

25000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

213.3914

180793.2197

213298.1493

117


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

25000

haz

Annual O&M

24.33

0

0

0

0

0

0

799783.5367

-594538.5988

349131.2948

6909.938

sw

Medium

High

Pressure

25000

haz

Annual O&M

35.324

0

0

0

0

0

0

0

0

217242.7092

64826.5446

SW

Large

High

Pressure

25000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

287.0805

182331.1243

236460.6054

sw

Small

Low

Pressure

30000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

sw

Medium

Low

Pressure

30000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

sw

Large

Low

Pressure

30000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

sw

Small

Mid

Pressure

30000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

30000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

sw

Large

Mid

Pressure

30000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

sw

Small

High

Pressure

30000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

sw

Medium

High

Pressure

30000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

sw

Large

High

Pressure

30000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

sw

Small

Low

Pressure

35000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

sw

Medium

Low

Pressure

35000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

sw

Large

Low

Pressure

35000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

sw

Small

Mid

Pressure

35000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

35000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

sw

Large

Mid

Pressure

35000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

sw

Small

High

Pressure

35000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

sw

Medium

High

Pressure

35000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

sw

Large

High

Pressure

35000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

sw

Small

Low

Pressure

40000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

sw

Medium

Low

Pressure

40000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

sw

Large

Low

Pressure

40000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

sw

Small

Mid

Pressure

40000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

40000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

sw

Large

Mid

Pressure

40000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

sw

Small

High

Pressure

40000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

sw

Medium

High

Pressure

40000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

sw

Large

High

Pressure

40000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

sw

Small

Low

Pressure

45000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

sw

Medium

Low

Pressure

45000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

sw

Large

Low

Pressure

45000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

sw

Small

Mid

Pressure

45000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

45000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

sw

Large

Mid

Pressure

45000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

sw

Small

High

Pressure

45000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

sw

Medium

High

Pressure

45000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

sw

Large

High

Pressure

45000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

sw

Small

Low

Pressure

50000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

sw

Medium

Low

Pressure

50000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

sw

Large

Low

Pressure

50000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

sw

Small

Mid

Pressure

50000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

50000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

sw

Large

Mid

Pressure

50000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

118


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

50000

haz

Total Capital

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

sw

Medium

High

Pressure

50000

haz

Total Capital

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

SW

Large

High

Pressure

50000

haz

Total Capital

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

sw

Small

Low

Pressure

30000

haz

Annual O&M

21.605

0

0

0

0

0

0

986869.2019

-675992.3584

317062.7512

4785.9369

sw

Medium

Low

Pressure

30000

haz

Annual O&M

34.171

0

0

0

0

0

0

2113.6374

-11286.1063

201355.7255

52445.103

sw

Large

Low

Pressure

30000

haz

Annual O&M

35.979

0

0

0

0

0

0

3.1071

-157.8156

169292.5148

147628.3044

sw

Small

Mid

Pressure

30000

haz

Annual O&M

21.865

0

0

0

0

0

0

633906.7037

-467560.0613

292741.8788

5554.3607

sw

Medium

Mid

Pressure

30000

haz

Annual O&M

33.482

0

0

0

0

0

0

2377.366

-12797.9694

206010.7635

55066.3453

sw

Large

Mid

Pressure

30000

haz

Annual O&M

34.711

0

0

0

0

0

0

3.0548

-139.0496

168948.0618

150142.2971

sw

Small

High

Pressure

30000

haz

Annual O&M

24.33

0

0

0

0

0

0

787081.0177

-569048.1749

319660.9646

6509.7182

sw

Medium

High

Pressure

30000

haz

Annual O&M

35.324

0

0

0

0

0

0

1251.2875

-8180.5148

209522.1061

59125.8332

sw

Large

High

Pressure

30000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

286.3842

160093.1637

236166.7669

sw

Small

Low

Pressure

35000

haz

Annual O&M

21.605

0

0

0

0

0

0

978856.237

-660094.0225

296011.9364

4499.4376

sw

Medium

Low

Pressure

35000

haz

Annual O&M

34.171

0

0

0

0

0

0

2278.2451

-12276.927

186807.5069

52425.1561

sw

Large

Low

Pressure

35000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

199.2463

142854.6166

211249.0464

sw

Small

Mid

Pressure

35000

haz

Annual O&M

21.865

0

0

0

0

0

0

625847.5558

-451650.4404

271691.1889

5268.1248

sw

Medium

Mid

Pressure

35000

haz

Annual O&M

33.482

0

0

0

0

0

0

2541.6061

-13785.9422

191455.7972

55049.9154

sw

Large

Mid

Pressure

35000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

212.0239

142685.1476

212705.3888

sw

Small

High

Pressure

35000

haz

Annual O&M

24.33

0

0

0

0

0

0

779110.2715

-553181.2539

298612.7971

6223.6016

sw

Medium

High

Pressure

35000

haz

Annual O&M

35.324

0

0

0

0

0

0

1410.133

-9141.2771

194941.5394

59112.1271

sw

Large

High

Pressure

35000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

285.887

144208.9135

235956.5428

sw

Small

Low

Pressure

40000

haz

Annual O&M

21.605

0

0

0

0

0

0

973281.1373

-649373.6409

280204.474

4285.7078

sw

Medium

Low

Pressure

40000

haz

Annual O&M

34.171

0

0

0

0

0

0

2510.2309

-13816.9867

177578.0054

51549.1067

sw

Large

Low

Pressure

40000

haz

Annual O&M

35.979

0

0

0

0

0

0

3.0944

-157.4074

141467.1487

147426.0405

sw

Small

Mid

Pressure

40000

haz

Annual O&M

21.865

0

0

0

0

0

0

620498.1994

-441039.6389

255895.2922

5054.2087

sw

Medium

Mid

Pressure

40000

haz

Annual O&M

33.482

0

0

0

0

0

0

2773.1589

-15322.8765

182219.6537

54176.8164

sw

Large

Mid

Pressure

40000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

211.5965

130776.3909

212519.7663

sw

Small

High

Pressure

40000

haz

Annual O&M

24.33

0

0

0

0

0

0

773720.0047

-542562.373

282819.9726

6009.4074

sw

Medium

High

Pressure

40000

haz

Annual O&M

35.324

0

0

0

0

0

0

1637.9059

-10659.5942

185689.357

58240.1381

sw

Large

High

Pressure

40000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

285.5143

132295.7057

235799.1894

sw

Small

Low

Pressure

45000

haz

Annual O&M

21.605

0

0

0

0

0

0

969188.2219

-641785.4522

267911.5758

4119.0252

sw

Medium

Low

Pressure

45000

haz

Annual O&M

34.171

0

0

0

0

0

0

2802.9337

-15849.1183

172169.2986

49994.1316

sw

Large

Low

Pressure

45000

haz

Annual O&M

35.979

0

0

0

0

0

0

3.0902

-157.2758

132192.1589

147357.856

sw

Small

Mid

Pressure

45000

haz

Annual O&M

21.865

0

0

0

0

0

0

616531.5626

-433525.6869

243614.5333

4887.1181

sw

Medium

Mid

Pressure

45000

haz

Annual O&M

33.482

0

0

0

0

0

0

3065.6836

-17353.2976

176806.3348

52624.3419

sw

Large

Mid

Pressure

45000

haz

Annual O&M

34.711

0

0

0

0

0

0

3.0393

-138.5947

131845.8898

149883.9721

sw

Small

High

Pressure

45000

haz

Annual O&M

24.33

0

0

0

0

0

0

769840.61

-535090.874

270543.198

5842.3218

sw

Medium

High

Pressure

45000

haz

Annual O&M

35.324

0

0

0

0

0

0

1927.3526

-12674.9055

180263.1488

56688.1915

sw

Large

High

Pressure

45000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

285.224

123029.9063

235676.5093

sw

Small

Low

Pressure

50000

haz

Annual O&M

21.605

0

0

0

0

0

0

966212.2017

-636278.384

258089.519

3985.4487

sw

Medium

Low

Pressure

50000

haz

Annual O&M

34.171

0

0

0

0

0

0

3063.5142

-17699.2944

168407.3354

48376.4542

sw

Large

Low

Pressure

50000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

198.1551

114278.8914

210770.7357

sw

Small

Mid

Pressure

50000

haz

Annual O&M

21.865

0

0

0

0

0

0

613543.3051

-428003.6619

233787.4532

4753.9807

sw

Medium

Mid

Pressure

50000

haz

Annual O&M

33.482

0

0

0

0

0

0

3326.0389

-19201.9666

173041.3544

51007.7675

sw

Large

Mid

Pressure

50000

haz

Annual O&M

34.711

0

0

0

0

0

0

3.0362

-138.5055

124425.4834

149832.3021

119


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

50000

haz

Annual O&M

24.33

0

0

0

0

0

0

766669.1461

-529476.1454

260704.5452

5709.2522

sw

Medium

High

Pressure

50000

haz

Annual O&M

35.324

0

0

0

0

0

0

2185.4553

-14512.3438

176488.2952

55072.377

SW

Large

High

Pressure

50000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

284.9919

115617.255

235578.6756

sw

Small

Low

Pressure

55000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

sw

Medium

Low

Pressure

55000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

sw

Large

Low

Pressure

55000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

sw

Small

Mid

Pressure

55000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

55000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

sw

Large

Mid

Pressure

55000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

sw

Small

High

Pressure

55000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

sw

Medium

High

Pressure

55000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

sw

Large

High

Pressure

55000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

sw

Small

Low

Pressure

60000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

sw

Medium

Low

Pressure

60000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

sw

Large

Low

Pressure

60000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

sw

Small

Mid

Pressure

60000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

60000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

sw

Large

Mid

Pressure

60000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

sw

Small

High

Pressure

60000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

sw

Medium

High

Pressure

60000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

sw

Large

High

Pressure

60000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

sw

Small

Low

Pressure

65000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

sw

Medium

Low

Pressure

65000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

sw

Large

Low

Pressure

65000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

sw

Small

Mid

Pressure

65000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

65000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

sw

Large

Mid

Pressure

65000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

sw

Small

High

Pressure

65000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

sw

Medium

High

Pressure

65000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

sw

Large

High

Pressure

65000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

sw

Small

Low

Pressure

70000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

sw

Medium

Low

Pressure

70000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

sw

Large

Low

Pressure

70000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

sw

Small

Mid

Pressure

70000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

70000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

sw

Large

Mid

Pressure

70000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

sw

Small

High

Pressure

70000

haz

Total Cap

tal

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

sw

Medium

High

Pressure

70000

haz

Total Cap

tal

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

sw

Large

High

Pressure

70000

haz

Total Cap

tal

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

sw

Small

Low

Pressure

75000

haz

Total Cap

tal

21.605

0

0

0

0

0

0

218205.7779

-879696.1705

1619582.503

149347.4904

sw

Medium

Low

Pressure

75000

haz

Total Cap

tal

34.171

0

0

0

0

0

0

-2241.9665

24429.1255

791060.0658

1507435.754

sw

Large

Low

Pressure

75000

haz

Total Cap

tal

35.979

0

0

0

0

0

0

8.5711

-478.1422

581291.6818

3450337.952

sw

Small

Mid

Pressure

75000

haz

Total Cap

tal

21.865

1300023.414

0.4864

0

0

0

0

0

0

0

0

sw

Medium

Mid

Pressure

75000

haz

Total Cap

tal

33.482

0

0

0

0

0

0

-3706.0774

39849.5823

913457.546

1835718.028

sw

Large

Mid

Pressure

75000

haz

Total Cap

tal

34.711

0

0

0

0

0

0

10.1271

-238.9039

642652.0959

4626036.279

120


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

75000

haz

Total Capital

24.33

0

0

0

0

0

0

906888.8213

-2194035.54

2716802.713

377083.5384

sw

Medium

High

Pressure

75000

haz

Total Capital

35.324

0

0

0

0

0

0

-8214.9816

97767.571

1153481.446

2550759.106

SW

Large

High

Pressure

75000

haz

Total Capital

35.642

0

0

0

0

0

0

21.3034

-749.1992

900980.0398

6850555.015

sw

Small

Low

Pressure

55000

haz

Annual O&M

21.605

0

0

0

0

0

0

963767.8412

-632020.7847

250041.0491

3876.4248

sw

Medium

Low

Pressure

55000

haz

Annual O&M

34.171

0

0

0

0

0

0

3336.3605

-19675.8926

166355.8921

46531.7191

sw

Large

Low

Pressure

55000

haz

Annual O&M

35.979

0

0

0

0

0

0

3.084

-157.0782

118701.0923

147259.6674

sw

Small

Mid

Pressure

55000

haz

Annual O&M

21.865

0

0

0

0

0

0

611075.8724

-423739.0678

225738.2937

4645.0162

sw

Medium

Mid

Pressure

55000

haz

Annual O&M

33.482

0

0

0

0

0

0

3598.618

-21176.5874

170985.7551

49165.0171

sw

Large

Mid

Pressure

55000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

210.7808

108041.4559

212166.0538

sw

Small

High

Pressure

55000

haz

Annual O&M

24.33

0

0

0

0

0

0

764497.1217

-525361.468

252674.1438

5599.9552

sw

Medium

High

Pressure

55000

haz

Annual O&M

35.324

0

0

0

0

0

0

2456.0581

-16477.1153

174423.7373

53230.4908

sw

Large

High

Pressure

55000

haz

Annual O&M

35.642

0

0

0

0

0

0

3.2659

-91.1444

120654.6075

168347.3055

sw

Small

Low

Pressure

60000

haz

Annual O&M

21.605

0

0

0

0

0

0

961783.4013

-628705.0085

243337.9145

3785.5637

sw

Medium

Low

Pressure

60000

haz

Annual O&M

34.171

0

0

0

0

0

0

3522.784

-21040.1066

164130.0309

45127.8597

sw

Large

Low

Pressure

60000

haz

Annual O&M

35.979

0

0

0

0

0

0

0

197.7308

103166.1062

210584.9877

sw

Small

Mid

Pressure

60000

haz

Annual O&M

21.865

0

0

0

0

0

0

609315.5293

-420547.7401

219053.4562

4553.4736

sw

Medium

Mid

Pressure

60000

haz

Annual O&M

33.482

0

0

0

0

0

0

3784.7942

-22539.1289

168756.516

47762.8022

sw

Large

Mid

Pressure

60000

haz

Annual O&M

34.711

0

0

0

0

0

0

3.0315

-138.3687

113294.8012

149755.1487

sw

Small

High

Pressure

60000

haz

Annual O&M

24.33

0

0

0

0

0

0

762611.2107

-522085.8239

245972.9061

5509.2068

sw

Medium

High

Pressure

60000

haz

Annual O&M

35.324

0

0

0

0

0

0

2640.6431

-17832.105

172189.0703

51827.6361

sw

Large

High

Pressure

60000

haz

Annual O&M

35.642

0

0

0

0

0

0

3.2642

-91.1078

115594.7666

168315.6357

sw

Small

Low

Pressure

65000

haz

Annual O&M

21.605

0

0

0

0

0

0

960135.4373

-626021.5858

237657.8204

3708.7404

sw

Medium

Low

Pressure

65000

haz

Annual O&M

34.171

0

0

0

0

0

0

3650.15

-21984.7006

161863.8582

44039.9406

sw

Large

Low

Pressure

65000

haz

Annual O&M

35.979

0

0

0

0

0

0

3.0797

-156.9425

109361.1719

147191.0892

sw

Small

Mid

Pressure

65000

haz

Annual O&M

21.865

0

0

0

0

0

0

607556.9523

-417810.0117

213365.0682

4477.1505

sw

Medium

Mid

Pressure

65000

haz

Annual O&M

33.482

0

0

0

0

0

0

3912.1813

-23483.6765

166489.8108

46674.9609

sw

Large

Mid

Pressure

65000

haz

Annual O&M

34.711

0

0

0

0

0

0

0

210.4457

98714.3291

212020.8786

sw

Small

High

Pressure

65000

haz

Annual O&M

24.33

0

0

0

0

0

0

761053.4143

-519472.6105

240305.7888

5432.1176

sw

Medium

High

Pressure

65000

haz

Annual O&M

35.324

0

0

0

0

0

0

2766.5165

-18768.8194

169914.1223

50741.5143

sw

Large

High

Pressure

65000

haz

Annual O&M

35.642

0

0

0

0

0

0

3.2628

-91.0763

111313.3621

168288.422

sw

Small

Low

Pressure

70000

haz

Annual O&M

21.605

0

0

0

0

0

0

958787.5976

-623871.8389

232795.7258

3642.9355

sw

Medium

Low

Pressure

70000

haz

Annual O&M

34.171

0

0

0

0

0

0

3749.3399

-22754.8195

159928.244

43047.1421

sw

Large

Low

Pressure

70000

haz

Annual O&M

35.979

0

0

0

0

0

0

3.078

-156.886

105691.8112

147165.0078

sw

Small

Mid

Pressure

70000

haz

Annual O&M

21.865

0

0

0

0

0

0

606341.7162

-415725.1036

208509.8501

4411.2676

sw

Medium

Mid

Pressure

70000

haz

Annual O&M

33.482

0

0

0

0

0

0

4011.324

-24253.2956

164552.7432

45683.0346

sw

Large

Mid

Pressure

70000

haz

Annual O&M

34.711

0

0

0

0

0

0

3.0282

-138.272

105344.3711

149699.5207

sw

Small

High

Pressure

70000

haz

Annual O&M

24.33

0

0

0

0

0

0

759623.94

-517283.9302

235438.2792

5366.4686

sw

Medium

High

Pressure

70000

haz

Annual O&M

35.324

0

0

0

0

0

0

2864.5197

-19532.8815

167972.5947

49749.4955

sw

Large

High

Pressure

70000

haz

Annual O&M

35.642

0

0

0

0

0

0

0

284.3956

96556.1183

235326.9234

sw

Small

Low

Pressure

75000

haz

Annual O&M

21.605

0

0

0

0

0

0

957710.6467

-622138.859

228589.2907

3585.4977

sw

Medium

Low

Pressure

75000

haz

Annual O&M

34.171

0

0

0

0

0

0

3852.2364

-23617.3076

158817.4489

41881.607

sw

Large

Low

Pressure

75000

haz

Annual O&M

35.979

0

0

0

0

0

0

3.0765

-156.8393

102511.7662

147141.9184

sw

Small

Mid

Pressure

75000

haz

Annual O&M

21.865

0

0

0

0

0

0

605239.6298

-413976.8568

204302.4117

4353.8888

sw

Medium

Mid

Pressure

75000

haz

Annual O&M

33.482

0

0

0

0

0

0

4113.876

-25113.4517

163437.594

44519.3666

sw

Large

Mid

Pressure

75000

haz

Annual O&M

34.711

0

0

0

0

0

0

3.0269

-138.2329

102164.1469

149678.0902

121


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Pressure

75000

haz

Annual O&M

24.33

0

0

0

0

0

0

758522.8602

-515534.8091

231228.6167

5309.2146

sw

Medium

High

Pressure

75000

haz

Annual O&M

35.324

0

0

0

0

0

0

2966.0938

-20388.3053

166853.6582

48585.6621

SW

Large

High

Pressure

75000

haz

Annual O&M

35.642

0

0

0

0

0

0

3.2605

-91.0247

104463.0547

168245.6235

sw

Small

Low

Gravity

5000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

5000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2305.6323

-47510.7565

970665.0402

1507746.82

sw

Large

Low

Gravity

5000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

5000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

5000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

5000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

5000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

5000

haz

Total Cap

tal

34.953

0

0

0

0

0

0

1733.4111

-39746.9636

1086122.427

2021702.383

sw

Large

High

Gravity

5000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

10000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

10000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2305.6323

-47510.7565

970665.0402

1507746.82

sw

Large

Low

Gravity

10000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

10000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

10000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

10000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

10000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

10000

haz

Total Cap

tal

34.947

0

0

0

0

0

0

1710.5042

-39314.9705

1084128.094

2023881.676

sw

Large

High

Gravity

10000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

15000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

15000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2305.6323

-47510.7565

970665.0402

1507746.82

sw

Large

Low

Gravity

15000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

15000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

15000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

15000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

15000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

15000

haz

Total Cap

tal

34.947

0

0

0

0

0

0

1710.5042

-39314.9705

1084128.094

2023881.676

sw

Large

High

Gravity

15000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

20000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

20000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2305.6323

-47510.7565

970665.0402

1507746.82

sw

Large

Low

Gravity

20000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

20000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

20000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

20000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

20000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

20000

haz

Total Cap

tal

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

sw

Large

High

Gravity

20000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

25000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

25000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2438.6353

-49247.0571

976944.1976

1501763.516

sw

Large

Low

Gravity

25000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

25000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

25000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

25000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

122


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

25000

haz

Total Capital

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

25000

haz

Total Capital

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

SW

Large

High

Gravity

25000

haz

Total Capital

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

5000

haz

Annual O&M

30.19

0

0

0

0

0

0

1430890.047

-607724.481

790430.8213

33781.7538

sw

Medium

Low

Gravity

5000

haz

Annual O&M

34.318

0

0

0

0

0

0

3900.0251

-28227.7788

790146.1782

55129.5735

sw

Large

Low

Gravity

5000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

0

711199.4198

270134.9983

sw

Small

Mid

Gravity

5000

haz

Annual O&M

29.295

0

0

0

0

0

0

1346987.762

-542189.6111

785872.9296

38574.7787

sw

Medium

Mid

Gravity

5000

haz

Annual O&M

33.771

0

0

0

0

0

0

3855.0968

-28100.9759

793659.5509

58387.2114

sw

Large

Mid

Gravity

5000

haz

Annual O&M

35.7

0

0

0

0

0

0

0

0

711552.5541

264208.9841

sw

Small

High

Gravity

5000

haz

Annual O&M

31.24

0

0

0

0

0

0

1335162.41

-528214.2694

788917.2038

40467.3302

sw

Medium

High

Gravity

5000

haz

Annual O&M

34.953

0

0

0

0

0

0

3578.0134

-26343.2737

790593.5323

59809.8904

sw

Large

High

Gravity

5000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

0

712099.7813

262005.3046

sw

Small

Low

Gravity

10000

haz

Annual O&M

30.19

0

0

0

0

0

0

417681.0738

-271908.3328

460833.1774

29543.3928

sw

Medium

Low

Gravity

10000

haz

Annual O&M

34.318

0

0

0

0

0

0

0

0

400879.427

74115.9984

sw

Large

Low

Gravity

10000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

0

377936.3502

266007.9695

sw

Small

Mid

Gravity

10000

haz

Annual O&M

29.295

0

0

0

0

0

0

0

-31106.6477

433217.7308

34891.0934

sw

Medium

Mid

Gravity

10000

haz

Annual O&M

33.771

0

0

0

0

0

0

0

0

404200.0209

77576.1303

sw

Large

Mid

Gravity

10000

haz

Annual O&M

35.7

0

0

0

0

0

0

0

0

378274.4814

260645.316

sw

Small

High

Gravity

10000

haz

Annual O&M

31.24

0

0

0

0

0

0

320653.6944

-191936.3269

459228.79

36231.0225

sw

Medium

High

Gravity

10000

haz

Annual O&M

34.947

0

0

0

0

0

0

2045.5686

-16331.3178

440193.7569

59861.3858

sw

Large

High

Gravity

10000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

0

378820.1876

257886.9068

sw

Small

Low

Gravity

15000

haz

Annual O&M

30.19

0

0

0

0

0

0

-572923.2279

270587.5938

287716.7552

29272.7914

sw

Medium

Low

Gravity

15000

haz

Annual O&M

34.318

0

0

0

0

0

0

1742.9522

-13695.2371

320074.6439

57079.7327

sw

Large

Low

Gravity

15000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

-64.5206

271655.64

216828.7558

sw

Small

Mid

Gravity

15000

haz

Annual O&M

29.295

0

0

0

0

0

0

-658019.7952

336510.9611

283085.4427

34067.6325

sw

Medium

Mid

Gravity

15000

haz

Annual O&M

33.771

0

0

0

0

0

0

1720.9617

-13656.3651

323538.6312

60386.8618

sw

Large

Mid

Gravity

15000

haz

Annual O&M

35.7

0

0

0

0

0

0

0

0

267181.7865

259457.4779

sw

Small

High

Gravity

15000

haz

Annual O&M

31.24

0

0

0

0

0

0

-670018.8695

350515.7455

286110.8822

35960.2387

sw

Medium

High

Gravity

15000

haz

Annual O&M

34.947

0

0

0

0

0

0

0

-2815.7091

304410.8133

68582.8542

sw

Large

High

Gravity

15000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

0

267726.9961

256513.9085

sw

Small

Low

Gravity

20000

haz

Annual O&M

30.19

0

0

0

0

0

0

-648968.2182

371417.8195

212754.4958

28938.7052

sw

Medium

Low

Gravity

20000

haz

Annual O&M

34.318

0

0

0

0

0

0

0

-1801.0629

241521.5694

67358.5244

sw

Large

Low

Gravity

20000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.1116

-422.8647

226701.686

152040.821

sw

Small

Mid

Gravity

20000

haz

Annual O&M

29.295

0

0

0

0

0

0

-734161.7435

437376.6622

208113.6969

33733.697

sw

Medium

Mid

Gravity

20000

haz

Annual O&M

33.771

0

0

0

0

0

0

0

-1897.3957

245203.5696

70575.7178

sw

Large

Mid

Gravity

20000

haz

Annual O&M

35.7

0

0

0

0

0

0

0

-62.6223

216300.9903

212466.4821

sw

Small

High

Gravity

20000

haz

Annual O&M

31.24

0

0

0

0

0

0

-746239.6027

451406.8775

211136.1843

35626.1863

sw

Medium

High

Gravity

20000

haz

Annual O&M

34.953

0

0

0

0

0

0

0

0

237283.4584

75898.2724

sw

Large

High

Gravity

20000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

-57.8984

216494.0017

212930.3297

sw

Small

Low

Gravity

25000

haz

Annual O&M

30.19

0

0

0

0

0

0

-686686.2807

420685.9188

167751.5742

28738.4701

sw

Medium

Low

Gravity

25000

haz

Annual O&M

34.318

0

0

0

0

0

0

0

-1634.5978

207112.0291

68283.1264

sw

Large

Low

Gravity

25000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.1121

-423.0218

193384.4828

151544.1887

sw

Small

Mid

Gravity

25000

haz

Annual O&M

29.295

0

0

0

0

0

0

-772055.9228

486708.4954

163102.4582

33533.6622

sw

Medium

Mid

Gravity

25000

haz

Annual O&M

33.771

0

0

0

0

0

0

0

-1518.7439

210083.2867

71882.5568

sw

Large

Mid

Gravity

25000

haz

Annual O&M

35.7

0

0

0

0

0

0

2.9788

-405.6184

193106.8501

150788.6256

123


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

25000

haz

Annual O&M

31.24

0

0

0

0

0

0

-784169.9158

500763.7248

166116.2936

35426.6152

sw

Medium

High

Gravity

25000

haz

Annual O&M

34.953

0

0

0

0

0

0

0

-2096.5894

212110.4302

70890.512

SW

Large

High

Gravity

25000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.0532

-409.4974

193555.7366

149635.7467

sw

Small

Low

Gravity

30000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

30000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2438.6353

-49247.0571

976944.1976

1501763.516

sw

Large

Low

Gravity

30000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

30000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

30000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

30000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

30000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

30000

haz

Total Cap

tal

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

sw

Large

High

Gravity

30000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

35000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

35000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2438.6353

-49247.0571

976944.1976

1501763.516

sw

Large

Low

Gravity

35000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

35000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

35000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

35000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

35000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

35000

haz

Total Cap

tal

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

sw

Large

High

Gravity

35000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

40000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

40000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2438.6353

-49247.0571

976944.1976

1501763.516

sw

Large

Low

Gravity

40000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

40000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

40000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

40000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

40000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

40000

haz

Total Cap

tal

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

sw

Large

High

Gravity

40000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

45000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

45000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2438.6353

-49247.0571

976944.1976

1501763.516

sw

Large

Low

Gravity

45000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

45000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

45000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

45000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

45000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

45000

haz

Total Cap

tal

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

sw

Large

High

Gravity

45000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

50000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

50000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2438.6353

-49247.0571

976944.1976

1501763.516

sw

Large

Low

Gravity

50000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

50000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

50000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

50000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

124


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

50000

haz

Total Capital

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

50000

haz

Total Capital

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

SW

Large

High

Gravity

50000

haz

Total Capital

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

30000

haz

Annual O&M

30.19

0

0

0

0

0

0

-709196.2955

448835.512

137736.6189

28605.2837

sw

Medium

Low

Gravity

30000

haz

Annual O&M

34.318

0

0

0

0

0

0

0

-1441.2403

183769.8892

69567.1796

sw

Large

Low

Gravity

30000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

-64.8521

160592.6543

215207.3545

sw

Small

Mid

Gravity

30000

haz

Annual O&M

29.295

0

0

0

0

0

0

-794529.666

514837.4045

133086.5805

33400.6437

sw

Medium

Mid

Gravity

30000

haz

Annual O&M

33.771

0

0

0

0

0

0

0

-1317.3739

186708.9037

73183.7538

sw

Large

Mid

Gravity

30000

haz

Annual O&M

35.7

0

0

0

0

0

0

2.9806

-405.893

170899.4056

150464.5781

sw

Small

High

Gravity

30000

haz

Annual O&M

31.24

0

0

0

0

0

0

-806572.3044

528846.5315

136109.3429

35293.0815

sw

Medium

High

Gravity

30000

haz

Annual O&M

34.953

0

0

0

0

0

0

0

0

181075.798

77040.0261

sw

Large

High

Gravity

30000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.0547

-409.7748

171349.594

149257.7323

sw

Small

Low

Gravity

35000

haz

Annual O&M

30.19

0

0

0

0

0

0

-723954.714

466496.1952

116312.5789

28509.4686

sw

Medium

Low

Gravity

35000

haz

Annual O&M

34.318

0

0

0

0

0

0

0

-1389.3427

167430.6551

70348.4185

sw

Large

Low

Gravity

35000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

-64.8993

144726.4983

214975.9265

sw

Small

Mid

Gravity

35000

haz

Annual O&M

29.295

0

0

0

0

0

0

-809435.2463

532569.4971

111652.9968

33304.9954

sw

Medium

Mid

Gravity

35000

haz

Annual O&M

33.771

0

0

0

0

0

0

0

-1259.6444

170346.1251

73977.6576

sw

Large

Mid

Gravity

35000

haz

Annual O&M

35.7

0

0

0

0

0

0

0

-62.8355

144900.1458

211544.7824

sw

Small

High

Gravity

35000

haz

Annual O&M

31.24

0

0

0

0

0

0

-821537.3002

546621.5496

114667.4149

35197.6814

sw

Medium

High

Gravity

35000

haz

Annual O&M

34.953

0

0

0

0

0

0

0

-1821.1465

172272.2837

73037.6901

sw

Large

High

Gravity

35000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

-58.2055

145099.8283

211820.2739

sw

Small

Low

Gravity

40000

haz

Annual O&M

30.19

0

0

0

0

0

0

-734605.5015

478549.7906

100228.0297

28438.1746

sw

Medium

Low

Gravity

40000

haz

Annual O&M

34.318

0

0

0

0

0

0

0

-1443.7247

155591.011

70616.0689

sw

Large

Low

Gravity

40000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

-64.9347

132826.88

214802.3395

sw

Small

Mid

Gravity

40000

haz

Annual O&M

29.295

0

0

0

0

0

0

-820076.7308

544601.9474

95571.4598

33233.5587

sw

Medium

Mid

Gravity

40000

haz

Annual O&M

33.771

0

0

0

0

0

0

0

-1309.7295

158489.2406

74254.2121

sw

Large

Mid

Gravity

40000

haz

Annual O&M

35.7

0

0

0

0

0

0

0

-62.8711

133000.013

211391.159

sw

Small

High

Gravity

40000

haz

Annual O&M

31.24

0

0

0

0

0

0

-832157.1618

558633.0026

98589.2549

35126.2271

sw

Medium

High

Gravity

40000

haz

Annual O&M

34.953

0

0

0

0

0

0

0

-1866.1049

160383.7189

73330.9648

sw

Large

High

Gravity

40000

haz

Annual O&M

36.221

0

0

0

0

0

0

0

-58.2567

133200.7987

211635.3631

sw

Small

Low

Gravity

45000

haz

Annual O&M

30.19

0

0

0

0

0

0

-742541.8574

487108.5107

87726.9115

28382.4104

sw

Medium

Low

Gravity

45000

haz

Annual O&M

34.318

0

0

0

0

0

0

1029.6676

-8268.1208

158859.3801

65365.144

sw

Large

Low

Gravity

45000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.113

-423.3051

134154.052

150660.2181

sw

Small

Mid

Gravity

45000

haz

Annual O&M

29.295

0

0

0

0

0

0

-828098.323

553217.583

83058.7308

33178.3437

sw

Medium

Mid

Gravity

45000

haz

Annual O&M

33.771

0

0

0

0

0

0

1180.4778

-9108.4343

163504.0701

68256.3772

sw

Large

Mid

Gravity

45000

haz

Annual O&M

35.7

0

0

0

0

0

0

0

-62.8989

123744.3568

211271.7521

sw

Small

High

Gravity

45000

haz

Annual O&M

31.24

0

0

0

0

0

0

-840256.9384

567287.2897

86071.7804

35071.1264

sw

Medium

High

Gravity

45000

haz

Annual O&M

34.953

0

0

0

0

0

0

0

-2007.3883

151596.2321

73246.4668

sw

Large

High

Gravity

45000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.0573

-410.2336

134339.224

148629.0446

sw

Small

Low

Gravity

50000

haz

Annual O&M

30.19

0

0

0

0

0

0

-748770.3461

493518.6015

77715.3472

28338.3235

sw

Medium

Low

Gravity

50000

haz

Annual O&M

34.318

0

0

0

0

0

0

1281.6919

-10074.3516

155058.9874

63779.2959

sw

Large

Low

Gravity

50000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.1131

-423.3374

126750.1484

150550.3987

sw

Small

Mid

Gravity

50000

haz

Annual O&M

29.295

0

0

0

0

0

0

-834286.9579

559570.3028

73061.7484

33133.5255

sw

Medium

Mid

Gravity

50000

haz

Annual O&M

33.771

0

0

0

0

0

0

1434.1383

-10922.5149

159711.5222

66668.7351

sw

Large

Mid

Gravity

50000

haz

Annual O&M

35.7

0

0

0

0

0

0

2.9842

-406.4414

126484.4917

149816.9148

125


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

50000

haz

Annual O&M

31.24

0

0

0

0

0

0

-846364.3144

573613.9926

76073.8415

35026.3668

sw

Medium

High

Gravity

50000

haz

Annual O&M

34.953

0

0

0

0

0

0

0

-2173.6854

144823.2723

72936.9971

SW

Large

High

Gravity

50000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.0579

-410.3248

126937.144

148503.0647

sw

Small

Low

Gravity

55000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

55000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2438.6353

-49247.0571

976944.1976

1501763.516

sw

Large

Low

Gravity

55000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

55000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

55000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

55000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

55000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

55000

haz

Total Cap

tal

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

sw

Large

High

Gravity

55000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

60000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

60000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2438.6353

-49247.0571

976944.1976

1501763.516

sw

Large

Low

Gravity

60000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

60000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

60000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

60000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

60000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

60000

haz

Total Cap

tal

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

sw

Large

High

Gravity

60000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

65000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

65000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2438.6353

-49247.0571

976944.1976

1501763.516

sw

Large

Low

Gravity

65000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

65000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

65000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

65000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

65000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

65000

haz

Total Cap

tal

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

sw

Large

High

Gravity

65000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

70000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

70000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2438.6353

-49247.0571

976944.1976

1501763.516

sw

Large

Low

Gravity

70000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

70000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

70000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

70000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

sw

Small

High

Gravity

70000

haz

Total Cap

tal

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

70000

haz

Total Cap

tal

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

sw

Large

High

Gravity

70000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

75000

haz

Total Cap

tal

30.19

0

0

0

0

0

0

-1290650.747

2183545.961

-44745.7357

831220.478

sw

Medium

Low

Gravity

75000

haz

Total Cap

tal

34.318

0

0

0

0

0

0

2438.6353

-49247.0571

976944.1976

1501763.516

sw

Large

Low

Gravity

75000

haz

Total Cap

tal

36.221

0

0

0

0

0

0

6.7058

-2008.5071

656104.6466

2291190.469

sw

Small

Mid

Gravity

75000

haz

Total Cap

tal

29.295

0

0

0

0

0

0

-1076120.098

1802620.601

259930.1507

983021.2525

sw

Medium

Mid

Gravity

75000

haz

Total Cap

tal

33.771

0

0

0

0

0

0

1894.7388

-41884.8618

1029811.453

1874136.517

sw

Large

Mid

Gravity

75000

haz

Total Cap

tal

35.7

0

0

0

0

0

0

6.137

-1786.4645

647268.4015

3787188.37

126


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

75000

haz

Total Capital

31.24

0

0

0

0

0

0

-850266.0535

1435347.569

498569.2441

1039031.084

sw

Medium

High

Gravity

75000

haz

Total Capital

34.953

0

0

0

0

0

0

1748.1779

-39470.2013

1081870.567

2028101.829

SW

Large

High

Gravity

75000

haz

Total Capital

36.221

0

0

0

0

0

0

6.3666

-2105.3529

726477.3605

3837805.245

sw

Small

Low

Gravity

55000

haz

Annual O&M

30.19

0

0

0

0

0

0

-753826.5767

498462.6422

69522.8939

28302.1371

sw

Medium

Low

Gravity

55000

haz

Annual O&M

34.318

0

0

0

0

0

0

1547.4196

-12014.0256

152973.52

61962.5501

sw

Large

Low

Gravity

55000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.1132

-423.366

120692.4695

150460.1927

sw

Small

Mid

Gravity

55000

haz

Annual O&M

29.295

0

0

0

0

0

0

-839264.4939

564486.5963

64869.5053

33097.3735

sw

Medium

Mid

Gravity

55000

haz

Annual O&M

33.771

0

0

0

0

0

0

1701.2723

-12868.9941

157633.2406

64849.7131

sw

Large

Mid

Gravity

55000

haz

Annual O&M

35.7

0

0

0

0

0

0

2.9847

-406.5172

120427.9559

149728.1761

sw

Small

High

Gravity

55000

haz

Annual O&M

31.24

0

0

0

0

0

0

-851373.7293

578523.424

67887.4348

34989.9743

sw

Medium

High

Gravity

55000

haz

Annual O&M

34.953

0

0

0

0

0

0

1160.4777

-9909.5472

153156.0211

66660.7073

sw

Large

High

Gravity

55000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.0583

-410.4006

120880.9234

148400.0628

sw

Small

Low

Gravity

60000

haz

Annual O&M

30.19

0

0

0

0

0

0

-757885.6705

502305.5133

62706.9977

28271.5758

sw

Medium

Low

Gravity

60000

haz

Annual O&M

34.318

0

0

0

0

0

0

1727.7584

-13346.696

150718.5671

60581.8019

sw

Large

Low

Gravity

60000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.1132

-423.3871

115644.3366

150385.3312

sw

Small

Mid

Gravity

60000

haz

Annual O&M

29.295

0

0

0

0

0

0

-843348.6609

568359.3136

58045.9036

33067.0804

sw

Medium

Mid

Gravity

60000

haz

Annual O&M

33.771

0

0

0

0

0

0

1882.6612

-14206.7284

155383.6335

63467.1506

sw

Large

Mid

Gravity

60000

haz

Annual O&M

35.7

0

0

0

0

0

0

2.9851

-406.5801

115380.8211

149654.5421

sw

Small

High

Gravity

60000

haz

Annual O&M

31.24

0

0

0

0

0

0

-855363.945

582341.5104

61069.546

34959.7398

sw

Medium

High

Gravity

60000

haz

Annual O&M

34.953

0

0

0

0

0

0

1340.358

-11235.0627

150874.3407

65293.2054

sw

Large

High

Gravity

60000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.0586

-410.4631

115834.0436

148314.3156

sw

Small

Low

Gravity

65000

haz

Annual O&M

30.19

0

0

0

0

0

0

-761264.4588

505409.1873

56934.6204

28245.9731

sw

Medium

Low

Gravity

65000

haz

Annual O&M

34.318

0

0

0

0

0

0

1850.4101

-14267.3281

148432.4491

59511.4575

sw

Large

Low

Gravity

65000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.1133

-423.4124

111373.0331

150320.971

sw

Small

Mid

Gravity

65000

haz

Annual O&M

29.295

0

0

0

0

0

0

-846895.5962

571524.1654

52269.6631

33041.5324

sw

Medium

Mid

Gravity

65000

haz

Annual O&M

33.771

0

0

0

0

0

0

2006.0157

-15130.2946

153099.0901

62396.9941

sw

Large

Mid

Gravity

65000

haz

Annual O&M

35.7

0

0

0

0

0

0

2.9855

-406.6311

111110.0853

149592.9427

sw

Small

High

Gravity

65000

haz

Annual O&M

31.24

0

0

0

0

0

0

-858925.4612

585533.2347

55287.3509

34934.2148

sw

Medium

High

Gravity

65000

haz

Annual O&M

34.953

0

0

0

0

0

0

1462.3373

-12148.0472

148563.0443

64235.5151

sw

Large

High

Gravity

65000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.0589

-410.514

111563.5683

148242.149

sw

Small

Low

Gravity

70000

haz

Annual O&M

30.19

0

0

0

0

0

0

-764130.4573

507950.182

51988.3524

28223.9884

sw

Medium

Low

Gravity

70000

haz

Annual O&M

34.318

0

0

0

0

0

0

1945.1833

-15014.2301

146474.3711

58536.2482

sw

Large

Low

Gravity

70000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.1134

-423.4289

107711.7962

150266.3529

sw

Small

Mid

Gravity

70000

haz

Annual O&M

29.295

0

0

0

0

0

0

-849818.7944

574092.5785

47319.4272

33019.7083

sw

Medium

Mid

Gravity

70000

haz

Annual O&M

33.771

0

0

0

0

0

0

2101.9039

-15883.334

151149.6667

61418.2862

sw

Large

Mid

Gravity

70000

haz

Annual O&M

35.7

0

0

0

0

0

0

2.9858

-406.6786

107449.6092

149538.7299

sw

Small

High

Gravity

70000

haz

Annual O&M

31.24

0

0

0

0

0

0

-861862.1753

588110.4729

50335.3112

34912.3704

sw

Medium

High

Gravity

70000

haz

Annual O&M

34.953

0

0

0

0

0

0

1556.8234

-12890.2175

146586.719

63269.4969

sw

Large

High

Gravity

70000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.0592

-410.5609

107903.2388

148179.5654

sw

Small

Low

Gravity

75000

haz

Annual O&M

30.19

0

0

0

0

0

0

-766599.3915

510047.3296

47707.5709

28204.7397

sw

Medium

Low

Gravity

75000

haz

Annual O&M

34.318

0

0

0

0

0

0

2044.1762

-15856.2408

145343.9392

57386.0757

sw

Large

Low

Gravity

75000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.1134

-423.4404

104538.6286

150219.7718

sw

Small

Mid

Gravity

75000

haz

Annual O&M

29.295

0

0

0

0

0

0

-852306.3978

576210.5083

43035.3266

33000.3067

sw

Medium

Mid

Gravity

75000

haz

Annual O&M

33.771

0

0

0

0

0

0

2201.4646

-16727.8702

150021.2677

60267.7096

sw

Large

Mid

Gravity

75000

haz

Annual O&M

35.7

0

0

0

0

0

0

2.986

-406.7174

104277.0895

149492.9147

127


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for GAC

GW/SW

Size
Category

Comp
Level

Design
Type

Bed
Volumes

Spent Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

High

Gravity

75000

haz

Annual O&M

31.24

0

0

0

0

0

0

-864209.306

590152.131

46061.3542

34892.8944

sw

Medium

High

Gravity

75000

haz

Annual O&M

34.953

0

0

0

0

0

0

1655.5058

-13727.7496

145439.8751

62127.283

SW

Large

High

Gravity

75000

haz

Annual O&M

36.221

0

0

0

0

0

0

3.0594

-410.5992

104730.9097

148125.6365

128


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

A.2 Capital and Annual O&M Cost Equation Parameters for IX

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

Low

20000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

20000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Larqe

Low

20000

non-haz

Total Cap

ta



36.511

0

0

0

0

0

0

0

-138.0534

520295.2314

2097973.873

GW

Small

Mid

20000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

20000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Larqe

Mid

20000

non-haz

Total Cap

ta



36.047

0

0

0

0

0

0

0

-154.0817

540783.5033

2366181.96

GW

Small

Hiqh

20000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

Hiqh

20000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Larqe

Hiqh

20000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-203.4804

693808.3856

3816368.881

GW

Small

Low

40000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

40000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Larqe

Low

40000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-136.6756

519963.9788

2105105.946

GW

Small

Mid

40000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

40000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Larqe

Mid

40000

non-haz

Total Cap

ta



36.053

0

0

0

0

0

0

0

-152.704

540452.2565

2373313.916

GW

Small

Hiqh

40000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

Hiqh

40000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Larqe

Hiqh

40000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-202.1057

693478.446

3823469.173

GW

Small

Low

60000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

60000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Larqe

Low

60000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-138.1552

520116.175

2102649.929

GW

Small

Mid

60000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

60000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Larqe

Mid

60000

non-haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-154.1836

540604.4527

2370857.899

GW

Small

Hiqh

60000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

Hiqh

60000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Larqe

Hiqh

60000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-203.5853

693630.6422

3821013.156

GW

Small

Low

80000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

80000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Larqe

Low

80000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

80000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

80000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Larqe

Mid

80000

non-haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

Hiqh

80000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

Hiqh

80000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Larqe

Hiqh

80000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

GW

Small

Low

100000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

100000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Larqe

Low

100000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

100000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

100000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Larqe

Mid

100000

non-haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

129


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

100000

non-haz

Total Capital

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

100000

non-haz

Total Capital

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

100000

non-haz

Total Capital

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

GW

Small

Low

20000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

0

1064723.853

4675.891

GW

Medium

Low

20000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

1068385.932

26095.6274

GW

Large

Low

20000

non-haz

Annual O&M

36.511

0

0

0

0

0

0

0

0

1064120.695

43944.6759

GW

Small

Mid

20000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

0

1064729.974

4663.4818

GW

Medium

Mid

20000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

1068957.152

27422.7465

GW

Large

Mid

20000

non-haz

Annual O&M

36.047

0

0

0

0

0

0

0

0

1064398.826

41319.191

GW

Small

High

20000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

0

1066125.186

4745.1175

GW

Medium

High

20000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

1069190

26924.9391

GW

Large

High

20000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

1064974.626

34924.4203

GW

Small

Low

40000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-30138.106

552285.9443

4297.6004

GW

Medium

Low

40000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

545808.3357

26229.6665

GW

Large

Low

40000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

541179.6902

45589.3443

GW

Small

Mid

40000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-29112.2037

551957.6386

4300.2747

GW

Medium

Mid

40000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

546371.5684

27557.1583

GW

Large

Mid

40000

non-haz

Annual O&M

36.053

0

0

0

0

0

0

0

0

541400.35

43365.7935

GW

Small

High

40000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-30689.569

553867.8181

4361.7912

GW

Medium

High

40000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

546577.1301

27097.0258

GW

Large

High

40000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

541860.8292

37800.2376

GW

Small

Low

60000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

0

368373.2371

4678.2524

GW

Medium

Low

60000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

371615.8462

26274.3289

GW

Large

Low

60000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

366855.7558

46312.9986

GW

Small

Mid

60000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

0

368379.563

4668.6211

GW

Medium

Mid

60000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

372176.3948

27601.8267

GW

Large

Mid

60000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

367046.99

44398.8966

GW

Small

High

60000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

0

369773.2427

4750.2218

GW

Medium

High

60000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

372372.8373

27154.4911

GW

Large

High

60000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

367448.4879

39460.7017

GW

Small

Low

80000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-32422.4192

291900.9894

4269.51

GW

Medium

Low

80000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

284519.5327

26296.8118

GW

Large

Low

80000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

279705.0725

46478.8316

GW

Small

Mid

80000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-31512.6076

291610.6109

4271.7118

GW

Medium

Mid

80000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

285078.8952

27623.9473

GW

Large

Mid

80000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

279870.3118

44915.4253

GW

Small

High

80000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-33098.6247

293521.5326

4333.293

GW

Medium

High

80000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

285270.7183

27183.1163

GW

Large

High

80000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

280242.3235

40290.6772

GW

Small

Low

100000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-32866.5403

239817.8443

4264.2081

GW

Medium

Low

100000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

232261.8317

26310.0878

GW

Large

Low

100000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

227407.8657

46696.2751

GW

Small

Mid

100000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-31986.6029

239537.2918

4266.2738

GW

Medium

Mid

100000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

232820.3085

27637.5622

GW

Large

Mid

100000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

227564.2981

45225.4834

130


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

100000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-33583.7301

241454.8296

4327.3424

GW

Medium

High

100000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

233009.4792

27200.328

GW

Large

High

100000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

227918.6218

40788.7716

SW

Small

Low

20000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

SW

Medium

Low

20000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

SW

Large

Low

20000

non-haz

Total Cap

ta



36.511

0

0

0

0

0

0

0

-138.0534

520295.2314

2097973.873

SW

Small

Mid

20000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

SW

Medium

Mid

20000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

SW

Large

Mid

20000

non-haz

Total Cap

ta



36.047

0

0

0

0

0

0

0

-154.0817

540783.5033

2366181.96

SW

Small

High

20000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

SW

Medium

High

20000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

SW

Large

High

20000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-203.4804

693808.3856

3816368.881

SW

Small

Low

40000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

SW

Medium

Low

40000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

SW

Large

Low

40000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-136.6756

519963.9788

2105105.946

SW

Small

Mid

40000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

SW

Medium

Mid

40000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

SW

Large

Mid

40000

non-haz

Total Cap

ta



36.053

0

0

0

0

0

0

0

-152.704

540452.2565

2373313.916

SW

Small

High

40000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

SW

Medium

High

40000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

SW

Large

High

40000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-202.1057

693478.446

3823469.173

SW

Small

Low

60000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

SW

Medium

Low

60000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

SW

Large

Low

60000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-138.1552

520116.175

2102649.929

SW

Small

Mid

60000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

SW

Medium

Mid

60000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

SW

Large

Mid

60000

non-haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-154.1836

540604.4527

2370857.899

SW

Small

High

60000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

SW

Medium

High

60000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

SW

Large

High

60000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-203.5853

693630.6422

3821013.156

SW

Small

Low

80000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

SW

Medium

Low

80000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

SW

Large

Low

80000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

SW

Small

Mid

80000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

SW

Medium

Mid

80000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

SW

Large

Mid

80000

non-haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

SW

Small

High

80000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

SW

Medium

High

80000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

SW

Large

High

80000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

SW

Small

Low

100000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

SW

Medium

Low

100000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

SW

Large

Low

100000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

SW

Small

Mid

100000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

SW

Medium

Mid

100000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

SW

Large

Mid

100000

non-haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

131


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

sw

Small

High

100000

non-haz

Total Capital

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

100000

non-haz

Total Capital

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

100000

non-haz

Total Capital

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

sw

Small

Low

20000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

0

1064266.215

4689.7346

sw

Medium

Low

20000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

1071107.126

24446.2211

sw

Large

Low

20000

non-haz

Annual O&M

36.511

0

0

0

0

0

0

0

0

1065231.958

60706.4346

sw

Small

Mid

20000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

0

1064269.612

4677.299

sw

Medium

Mid

20000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

1071747.413

25731.5582

sw

Large

Mid

20000

non-haz

Annual O&M

36.047

0

0

0

0

0

0

0

0

1065525.652

58259.0692

sw

Small

High

20000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

0

1065648.754

4752.4664

sw

Medium

High

20000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

1072005.198

25219.1389

sw

Large

High

20000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

1066133.339

52256.6105

sw

Small

Low

40000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

0

542127.5219

4642.0763

sw

Medium

Low

40000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

548527.6053

24576.6829

sw

Large

Low

40000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

542286.5529

62212.0042

sw

Small

Mid

40000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

0

542131.5543

4631.8186

sw

Medium

Mid

40000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

549159.9235

25862.2108

sw

Large

Mid

40000

non-haz

Annual O&M

36.053

0

0

0

0

0

0

0

0

542516.5272

60209.4175

sw

Small

High

40000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

0

543510.2393

4706.9878

sw

Medium

High

40000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

549389.3484

25387.7067

sw

Large

High

40000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

542996.4236

55118.3653

sw

Small

Low

60000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-29091.8475

377812.3059

4222.5195

sw

Medium

Low

60000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

374334.5154

24619.9539

sw

Large

Low

60000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

367963.2854

62838.1265

sw

Small

Mid

60000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-28121.2039

377491.9025

4226.451

sw

Medium

Mid

60000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

374963.9123

25906.1196

sw

Large

Mid

60000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

368163.8659

61108.5217

sw

Small

High

60000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-29400.8472

379296.0441

4284.2095

sw

Medium

High

60000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

375184.0142

25443.8034

sw

Large

High

60000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

368584.8766

56570.2412

sw

Small

Low

80000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-29482.7766

290918.001

4209.2912

sw

Medium

Low

80000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

287237.9703

24641.6485

sw

Large

Low

80000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

280813.8532

62961.7627

sw

Small

Mid

80000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-28558.6135

290613.2665

4212.9641

sw

Medium

Mid

80000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

287866.231

25927.5102

sw

Large

Mid

80000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

280987.5434

61557.941

sw

Small

High

80000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-29845.5249

292422.6578

4270.2018

sw

Medium

High

80000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

288081.3102

25472.0596

sw

Large

High

80000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

281379.1135

57296.0667

sw

Small

Low

100000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-29710.15

238782.0626

4201.198

sw

Medium

Low

100000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

234980.0984

24654.6213

sw

Large

Low

100000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

228516.8401

63149.8734

sw

Small

Mid

100000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-28809.2271

238485.1626

4204.7415

sw

Medium

Mid

100000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

235607.355

25940.7848

sw

Large

Mid

100000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

228681.7426

61827.6959

132


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

sw

Small

High

100000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-30114.2164

240299.6672

4261.9344

sw

Medium

High

100000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

235819.6943

25488.9673

sw

Large

High

100000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

229055.6548

57731.5199

GW

Small

Low

120000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

120000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

120000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

120000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

120000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

120000

non-haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

120000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

120000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

120000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

GW

Small

Low

140000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

140000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

140000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

140000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

140000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

140000

non-haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

140000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

140000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

140000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

GW

Small

Low

160000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

160000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

160000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

160000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

160000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

160000

non-haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

160000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

160000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

160000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

GW

Small

Low

180000

non-haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

180000

non-haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

180000

non-haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

180000

non-haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

180000

non-haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

180000

non-haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

180000

non-haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

180000

non-haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

180000

non-haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

GW

Small

Low

120000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-33173.7674

205101.4462

4260.3771

GW

Medium

Low

120000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

197423.3529

26318.9393

GW

Large

Low

120000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

192543.0476

46841.6819

GW

Small

Mid

120000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-32305.439

204824.6865

4262.3956

GW

Medium

Mid

120000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

197981.3041

27646.5245

GW

Large

Mid

120000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

192693.6248

45432.2035

133


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

120000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-33895.2093

206738.1821

4323.6841

GW

Medium

High

120000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

198168.53

27211.9235

GW

Large

High

120000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

193036.1521

41121.0624

GW

Small

Low

140000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

35681.5845

-51721.7763

182631.0521

4205.9804

GW

Medium

Low

140000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

-880.1279

176426.3238

23722.2794

GW

Large

Low

140000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

167639.6152

46945.2426

GW

Small

Mid

140000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-32540.2454

180030.313

4259.6831

GW

Medium

Mid

140000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

-890.3845

177029.1365

25019.671

GW

Large

Mid

140000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

167786.0028

45579.7341

GW

Small

High

140000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-34138.93

181947.0208

4320.9262

GW

Medium

High

140000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

230.0847

-2590.2057

180688.3221

22967.8686

GW

Large

High

140000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

168120.1043

41358.2373

GW

Small

Low

160000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-33554.2091

161702.2379

4255.8323

GW

Medium

Low

160000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

153875.1246

26330.3668

GW

Large

Low

160000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

148962.0377

47022.8481

GW

Small

Mid

160000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-32707.3957

161432.3752

4257.7921

GW

Medium

Mid

160000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

154432.4544

27657.7623

GW

Large

Mid

160000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

149105.2866

45690.2555

GW

Small

High

160000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-34306.6957

163349.3479

4319.0205

GW

Medium

High

160000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

154617.4865

27226.2958

GW

Large

High

160000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

149433.0726

41535.8937

GW

Small

Low

180000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-33688.3305

147239.4745

4254.0898

GW

Medium

Low

180000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

-883.6657

143262.3106

23720.6991

GW

Large

Low

180000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

134435.0337

47083.4506

GW

Small

Mid

180000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-32848.1732

146971.8524

4256.0081

GW

Medium

Mid

180000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

-894.0329

143865.0956

25017.6807

GW

Large

Mid

180000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

134575.8435

45776.4166

GW

Small

High

180000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-34440.1492

148885.8696

4317.44

GW

Medium

High

180000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

-947.713

144286.5944

24428.1293

GW

Large

High

180000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

134898.7126

41674.1754

SW

Small

Low

120000

non-haz

Total Capital

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

SW

Medium

Low

120000

non-haz

Total Capital

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

SW

Large

Low

120000

non-haz

Total Capital

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

SW

Small

Mid

120000

non-haz

Total Capital

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

SW

Medium

Mid

120000

non-haz

Total Capital

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

SW

Large

Mid

120000

non-haz

Total Capital

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

SW

Small

High

120000

non-haz

Total Capital

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

SW

Medium

High

120000

non-haz

Total Capital

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

SW

Large

High

120000

non-haz

Total Capital

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

SW

Small

Low

140000

non-haz

Total Capital

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

SW

Medium

Low

140000

non-haz

Total Capital

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

SW

Large

Low

140000

non-haz

Total Capital

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

SW

Small

Mid

140000

non-haz

Total Capital

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

SW

Medium

Mid

140000

non-haz

Total Capital

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

SW

Large

Mid

140000

non-haz

Total Capital

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

134


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

sw

Small

High

140000

non-haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

140000

non-haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

140000

non-haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

sw

Small

Low

160000

non-haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

160000

non-haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

160000

non-haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

160000

non-haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

160000

non-haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

160000

non-haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

160000

non-haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

160000

non-haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

160000

non-haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

sw

Small

Low

180000

non-haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

180000

non-haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

180000

non-haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

180000

non-haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

180000

non-haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

180000

non-haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

180000

non-haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

180000

non-haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

180000

non-haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

sw

Small

Low

120000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-29870.3672

204025.3474

4195.945

sw

Medium

Low

120000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

-785.3175

203307.1247

22656.9849

sw

Large

Low

120000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

193652.1592

63275.6516

sw

Small

Mid

120000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-28986.1033

203733.9984

4199.4099

sw

Medium

Mid

120000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

-788.917

203948.4194

23933.6705

sw

Large

Mid

120000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

193811.2144

62007.4224

sw

Small

High

120000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-30287.3573

205549.1764

4256.4363

sw

Medium

High

120000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

-853.9895

204421.3476

23317.9075

sw

Large

High

120000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

194173.3414

58021.967

sw

Small

Low

140000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-29988.8551

179202.1335

4191.7844

sw

Medium

Low

140000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

175256.5747

24669.8708

sw

Large

Low

140000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

168748.8189

63365.4619

sw

Small

Mid

140000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-29116.2113

178914.7017

4195.1846

sw

Medium

Mid

140000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

175883.0472

25955.6205

sw

Large

Mid

140000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

168903.691

62136.0331

sw

Small

High

140000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-30422.1307

180729.2743

4252.4421

sw

Medium

High

140000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

176092.2195

25508.1987

sw

Large

High

140000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

169257.4064

58229.3041

sw

Small

Low

160000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-30070.9946

160581.1649

4189.0431

sw

Medium

Low

160000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

156593.12

24674.2441

sw

Large

Low

160000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

150071.3192

63432.5207

sw

Small

Mid

160000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-29204.9321

160296.0166

4192.3927

sw

Medium

Mid

160000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

157219.2857

25960.0878

sw

Large

Mid

160000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

150223.0494

62232.2821

135


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

sw

Small

High

160000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-30503.2219

162109.5074

4249.6393

sw

Medium

High

160000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

-859.2921

160891.3121

23318.614

sw

Large

High

160000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

150570.4554

58385.0229

sw

Small

Low

180000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-30133.6436

146098.465

4186.9389

sw

Medium

Low

180000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

142076.9559

24677.9414

sw

Large

Low

180000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

135544.3644

63485.0017

sw

Small

Mid

180000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-29279.2012

145817.234

4190.2238

sw

Medium

Mid

180000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

142702.8819

25964.0623

sw

Large

Mid

180000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

135693.6582

62307.2731

sw

Small

High

180000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-30567.8121

147627.0909

4247.6496

sw

Medium

High

180000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

142910.1884

25518.9507

sw

Large

High

180000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

136036.1583

58506.1043

GW

Small

Low

200000

non-haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

200000

non-haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

200000

non-haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

200000

non-haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

200000

non-haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

200000

non-haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

200000

non-haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

200000

non-haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

200000

non-haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

GW

Small

Low

220000

non-haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

220000

non-haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

220000

non-haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

220000

non-haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

220000

non-haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

220000

non-haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

220000

non-haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

220000

non-haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

220000

non-haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

GW

Small

Low

240000

non-haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

240000

non-haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

240000

non-haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

240000

non-haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

240000

non-haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

240000

non-haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

240000

non-haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

240000

non-haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

240000

non-haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

GW

Small

Low

260000

non-haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

260000

non-haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

260000

non-haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

260000

non-haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

260000

non-haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

260000

non-haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

136


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

260000

non-haz

Total Capital

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

260000

non-haz

Total Capital

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

260000

non-haz

Total Capital

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

GW

Small

Low

200000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-33798.2383

135669.7703

4252.67

GW

Medium

Low

200000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

127746.3893

26336.7118

GW

Large

Low

200000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

122813.4321

47131.7902

GW

Small

Mid

200000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-32969.69

135405.9409

4254.5411

GW

Medium

Mid

200000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

128303.1611

27664.6285

GW

Large

Mid

200000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

122952.2806

45845.4708

GW

Small

High

200000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-34551.2737

137315.3692

4316.2833

GW

Medium

High

200000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

128486.8527

27234.9565

GW

Large

High

200000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

123271.2207

41784.9972

GW

Small

Low

220000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-33868.8508

126196.8521

4251.9422

GW

Medium

Low

220000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

-885.8967

122157.9913

23719.0935

GW

Large

Low

220000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

113304.8412

47171.4792

GW

Small

Mid

220000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-33040.3026

125933.0227

4253.8132

GW

Medium

Mid

220000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

-896.4758

122761.3683

25015.6484

GW

Large

Mid

220000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

113442.0975

45901.667

GW

Small

High

220000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-34634.165

127847.5618

4315.1813

GW

Medium

High

220000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

-949.9843

123180.9943

24428.3505

GW

Large

High

220000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

113757.8195

41875.5432

GW

Small

Low

240000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-33956.2504

118312.7024

4250.6317

GW

Medium

Low

240000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

110326.9847

26341.5783

GW

Large

Low

240000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

105381.0235

47204.4006

GW

Small

Mid

240000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-33127.7021

118048.8729

4252.5027

GW

Medium

Mid

240000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

110883.6108

27669.1069

GW

Large

Mid

240000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

105516.9518

45948.4232

GW

Small

High

240000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-34713.1249

119959.5503

4314.0969

GW

Medium

High

240000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

111066.4262

27240.6392

GW

Large

High

240000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

105829.9857

41951.0947

GW

Small

Low

260000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-34011.6325

111633.5752

4250.2699

GW

Medium

Low

260000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

-887.4488

107547.1826

23718.5241

GW

Large

Low

260000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

98676.2546

47232.1872

GW

Small

Mid

260000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-33183.0843

111369.7458

4252.1409

GW

Medium

Mid

260000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

-898.0611

108150.6294

25014.7053

GW

Large

Mid

260000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

98811.0468

45988.4927

GW

Small

High

260000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-34768.944

113282.5745

4313.5132

GW

Medium

High

260000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

-951.5776

108569.3121

24428.6524

GW

Large

High

260000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

99121.8235

42014.7232

SW

Small

Low

200000

non-haz

Total Capital

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

SW

Medium

Low

200000

non-haz

Total Capital

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

SW

Large

Low

200000

non-haz

Total Capital

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

SW

Small

Mid

200000

non-haz

Total Capital

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

SW

Medium

Mid

200000

non-haz

Total Capital

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

SW

Large

Mid

200000

non-haz

Total Capital

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

137


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

sw

Small

High

200000

non-haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

200000

non-haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

200000

non-haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

sw

Small

Low

220000

non-haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

220000

non-haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

220000

non-haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

220000

non-haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

220000

non-haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

220000

non-haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

220000

non-haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

220000

non-haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

220000

non-haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

sw

Small

Low

240000

non-haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

240000

non-haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

240000

non-haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

240000

non-haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

240000

non-haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

240000

non-haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

240000

non-haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

240000

non-haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

240000

non-haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

sw

Small

Low

260000

non-haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

260000

non-haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

260000

non-haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

260000

non-haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

260000

non-haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

260000

non-haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

260000

non-haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

260000

non-haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

260000

non-haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.5931

693862.3754

3816961.127

sw

Small

Low

200000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-30194.3778

134516.8087

4184.8201

sw

Medium

Low

200000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

-793.8364

133664.2158

22652.5618

sw

Large

Low

200000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

123922.8044

63526.8681

sw

Small

Mid

200000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-29351.5556

134239.4948

4188.0403

sw

Medium

Mid

200000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

-797.8781

134306.2869

23928.0697

sw

Large

Mid

200000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

124070.1545

62367.0703

sw

Small

High

200000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-30627.7053

136044.6805

4245.5961

sw

Medium

High

200000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

-862.6789

134774.1228

23318.4116

sw

Large

High

200000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

124408.7274

58602.6347

sw

Small

Low

220000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-30232.6951

125034.6276

4183.5207

sw

Medium

Low

220000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

-795.1449

124167.9595

22651.7415

sw

Large

Low

220000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

114414.2607

63560.9425

sw

Small

Mid

220000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-29389.8729

124757.3137

4186.741

sw

Medium

Mid

220000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

121588.2765

25969.0497

sw

Large

Mid

220000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

114560.0013

62416.3472

138


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

sw

Small

High

220000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-30680.8907

126568.1362

4244.1152

sw

Medium

High

220000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

121794.5032

25525.6587

sw

Large

High

220000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

114895.3639

58681.9855

sw

Small

Low

240000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

34111.3809

-48204.2389

119495.4572

4125.4844

sw

Medium

Low

240000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

-796.0656

116253.8965

22651.0577

sw

Large

Low

240000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

106490.4701

63589.5704

sw

Small

Mid

240000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-29437.7121

116863.1798

4185.3777

sw

Medium

Mid

240000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

-800.0942

116895.6647

23926.6584

sw

Large

Mid

240000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

106634.8768

62457.2321

sw

Small

High

240000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-30730.8174

118673.543

4242.7044

sw

Medium

High

240000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

-864.7682

117362.0011

23318.7766

sw

Large

High

240000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

106967.5648

58748.0391

sw

Small

Low

260000

non-haz

Annual O&M

18.625

0

0

0

0

0

0

0

-30306.5688

110454.9454

4181.2444

sw

Medium

Low

260000

non-haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

106344.9169

24686.9299

sw

Large

Low

260000

non-haz

Annual O&M

36.516

0

0

0

0

0

0

0

0

99785.7195

63613.8768

sw

Small

Mid

260000

non-haz

Annual O&M

19.55

0

0

0

0

0

0

0

-29468.7854

110179.2654

4184.4506

sw

Medium

Mid

260000

non-haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

106970.4309

25972.8474

sw

Large

Mid

260000

non-haz

Annual O&M

36.058

0

0

0

0

0

0

0

0

99929.01

62491.7234

sw

Small

High

260000

non-haz

Annual O&M

21.435

0

0

0

0

0

0

0

-30745.8108

111984.3804

4241.9855

sw

Medium

High

260000

non-haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

107175.8448

25530.443

sw

Large

High

260000

non-haz

Annual O&M

36.211

0

0

0

0

0

0

0

0

100259.4392

58803.5869

GW

Small

Low

20000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

20000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

20000

haz

Total Cap

tal

36.495

0

0

0

0

0

0

0

-150.8093

522541.2956

2067509.667

GW

Small

Mid

20000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

20000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

20000

haz

Total Cap

tal

36.026

0

0

0

0

0

0

0

-172.5454

543990.233

2331807.921

GW

Small

High

20000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

20000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

20000

haz

Total Cap

tal

36.195

0

0

0

0

0

0

0

-256.1575

703098.5076

3662722.799

GW

Small

Low

40000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

40000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

40000

haz

Total Cap

tal

36.5

0

0

0

0

0

0

0

-149.4315

522210.043

2074641.74

GW

Small

Mid

40000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

40000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

40000

haz

Total Cap

tal

36.053

0

0

0

0

0

0

0

-176.9949

544836.3714

2291858.692

GW

Small

High

40000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

40000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

40000

haz

Total Cap

tal

36.205

0

0

0

0

0

0

0

-207.7629

694310.5292

3821848.318

GW

Small

Low

60000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

60000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

60000

haz

Total Cap

tal

36.511

0

0

0

0

0

0

0

-153.5159

522888.5227

2051140.741

GW

Small

Mid

60000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

60000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

60000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-154.1836

540604.4527

2370857.899

139


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

60000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

60000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

60000

haz

Total Cap

tal

36.205

0

0

0

0

0

0

0

-209.2425

694462.7254

3819392.301

GW

Small

Low

80000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

80000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

80000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

80000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

80000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

80000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

80000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

80000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

80000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

GW

Small

Low

100000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

100000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

100000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

100000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

100000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

100000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

100000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

100000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

100000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

GW

Small

Low

20000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

0

1132465.103

13709.2584

GW

Medium

Low

20000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

1137724.597

31072.6805

GW

Large

Low

20000

haz

Annual O&M

36.495

0

0

0

0

0

0

0

2292.4161

1126369.202

25983.9344

GW

Small

Mid

20000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

0

1132470.871

13692.0872

GW

Medium

Mid

20000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

1138294.683

32403.5805

GW

Large

Mid

20000

haz

Annual O&M

36.026

0

0

0

0

0

0

0

2295.4536

1126398.055

26004.3217

GW

Small

High

20000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

0

1133864.645

13773.7777

GW

Medium

High

20000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

1138531.44

31895.4706

GW

Large

High

20000

haz

Annual O&M

36.195

0

0

0

0

0

0

0

2303.1177

1126282.481

30701.0611

GW

Small

Low

40000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-50293.4697

592728.4597

8559.9633

GW

Medium

Low

40000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

580477.7028

28717.9842

GW

Large

Low

40000

haz

Annual O&M

36.5

0

0

0

0

0

0

0

1148.4666

572123.0632

39211.2295

GW

Small

Mid

40000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-48983.9971

592307.5766

8563.7776

GW

Medium

Mid

40000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

581040.3428

30047.5296

GW

Large

Mid

40000

haz

Annual O&M

36.053

0

0

0

0

0

0

0

1152.5943

571987.8749

41646.3404

GW

Small

High

40000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-50566.9793

594219.927

8625.1866

GW

Medium

High

40000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

581247.8772

29582.3025

GW

Large

High

40000

haz

Annual O&M

36.205

0

0

0

0

0

0

0

1147.9067

572899.984

34073.9924

GW

Small

Low

60000

haz

Annual O&M

18.625

0

0

0

0

0

0

122493.1151

-108031.2566

413657.567

6942.6325

GW

Medium

Low

60000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

394728.8393

27933.0818

GW

Large

Low

60000

haz

Annual O&M

36.511

0

0

0

0

0

0

0

767.0541

387365.3749

44057.421

GW

Small

Mid

60000

haz

Annual O&M

19.55

0

0

0

0

0

0

108982.9597

-99949.046

412409.3797

6965.3688

GW

Medium

Mid

60000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

395288.9627

29262.1589

GW

Large

Mid

60000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

763.6199

387888.1306

39523.5666

140


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

60000

haz

Annual O&M

21.435

0

0

0

0

0

0

109900.112

-102007.6368

414379.5813

7025.9161

GW

Medium

High

60000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

395486.6706

28811.3389

GW

Large

High

60000

haz

Annual O&M

36.205

0

0

0

0

0

0

0

768.0014

387922.1561

39429.2806

GW

Small

Low

80000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-42504.0836

312121.9359

6400.8146

GW

Medium

Low

80000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

301854.2032

27541.0821

GW

Large

Low

80000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

572.6012

295345.0426

42721.5719

GW

Small

Mid

80000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-41454.9632

311786.0448

6403.5835

GW

Medium

Mid

80000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

302413.2703

28869.4486

GW

Large

Mid

80000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

574.1815

295383.6898

42554.8397

GW

Small

High

80000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-43043.0386

313698.7428

6465.0197

GW

Medium

High

80000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

302606.0853

28425.7369

GW

Large

High

80000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

576.2445

295568.8722

41776.6191

GW

Small

Low

100000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-40944.0833

256000.1505

5968.7789

GW

Medium

Low

100000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

246129.6134

27305.3883

GW

Large

Low

100000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

459.0429

239842.7739

44540.9458

GW

Small

Mid

100000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-39948.0553

255681.6708

5971.3172

GW

Medium

Mid

100000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

246687.8583

28633.8044

GW

Large

Mid

100000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

460.5186

239881.0109

44374.0576

GW

Small

High

100000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-41534.8612

257594.0324

6032.9111

GW

Medium

High

100000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

246877.8538

28194.3394

GW

Large

High

100000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

462.6563

240046.7066

43453.3144

GW

Small

Low

120000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

120000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

120000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

120000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

120000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

120000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

120000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

120000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

120000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

GW

Small

Low

140000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

140000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

140000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

140000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

140000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

140000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

140000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

140000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

140000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

GW

Small

Low

160000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

160000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

160000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

160000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

160000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

160000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

141


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

160000

haz

Total Capital

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

160000

haz

Total Capital

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

160000

haz

Total Capital

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

GW

Small

Low

180000

haz

Total Capital

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

180000

haz

Total Capital

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

180000

haz

Total Capital

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

180000

haz

Total Capital

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

180000

haz

Total Capital

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

180000

haz

Total Capital

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

180000

haz

Total Capital

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

180000

haz

Total Capital

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

180000

haz

Total Capital

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

GW

Small

Low

120000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-39896.7686

218582.633

5681.1796

GW

Medium

Low

120000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

208979.7041

27148.6036

GW

Large

Low

120000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

383.3372

202841.2893

45753.4555

GW

Small

Mid

120000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-38933.8646

218274.8432

5683.612

GW

Medium

Mid

120000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

209537.5087

28476.8022

GW

Large

Mid

120000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

384.7431

202879.2466

45586.4222

GW

Small

High

120000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-40522.3364

220188.9822

5744.9019

GW

Medium

High

120000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

209725.5435

28040.1752

GW

Large

High

120000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

386.9311

203031.9133

44571.1588

GW

Small

Low

140000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-39166.0171

191862.1159

5475.3864

GW

Medium

Low

140000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

182444.1765

27036.4567

GW

Large

Low

140000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

329.262

176411.6174

46620.0948

GW

Small

Mid

140000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-38228.0344

191562.5998

5477.6885

GW

Medium

Mid

140000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

183001.5174

28364.7147

GW

Large

Mid

140000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

330.6177

176449.4169

46452.4731

GW

Small

High

140000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-39810.4962

193474.0953

5539.2778

GW

Medium

High

140000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

183188.2598

27929.9142

GW

Large

High

140000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

332.8416

176592.7649

45370.0295

GW

Small

Low

160000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-38609.9431

171819.5852

5321.0546

GW

Medium

Low

160000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

-796.2984

166059.8652

24597.289

GW

Large

Low

160000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

288.7054

156589.3905

47269.6799

GW

Small

Mid

160000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-37695.1785

171527.6546

5323.2621

GW

Medium

Mid

160000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

-806.4886

166661.8556

25895.464

GW

Large

Mid

160000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

290.0236

156627.0422

47102.2133

GW

Small

High

160000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-39268.8513

173436.0934

5384.8829

GW

Medium

High

160000

haz

Annual O&M

35.459

0

0

0

0

0

0

209.888

-2362.5219

170039.7217

23969.6138

GW

Large

High

160000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

292.2746

156763.4065

45968.9184

GW

Small

Low

180000

haz

Annual O&M

18.625

0

0

0

0

0

0

78068.9263

-78282.0736

161326.5979

5087.8603

GW

Medium

Low

180000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

147063.4792

26886.8773

GW

Large

Low

180000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

257.1614

141172.0956

47774.9908

GW

Small

Mid

180000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-37272.9131

155941.3656

5203.2539

GW

Medium

Mid

180000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

147620.3149

28215.2097

GW

Large

Mid

180000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

258.4507

141209.6341

47607.4356

142


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

180000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-38861.8381

157854.8108

5264.8788

GW

Medium

High

180000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

147805.0507

27783.2698

GW

Large

High

180000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

260.7223

141340.5837

46434.6796

GW

Small

Low

200000

haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

200000

haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

200000

haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

200000

haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

200000

haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

200000

haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

200000

haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

200000

haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

200000

haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

GW

Small

Low

220000

haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

220000

haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

220000

haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

220000

haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

220000

haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

220000

haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

220000

haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

220000

haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

220000

haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

GW

Small

Low

240000

haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

240000

haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

240000

haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

240000

haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

240000

haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

240000

haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

240000

haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

240000

haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

240000

haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

GW

Small

Low

260000

haz

Total Cap

ta



18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

GW

Medium

Low

260000

haz

Total Cap

ta



34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

GW

Large

Low

260000

haz

Total Cap

ta



36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

GW

Small

Mid

260000

haz

Total Cap

ta



19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

GW

Medium

Mid

260000

haz

Total Cap

ta



34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

GW

Large

Mid

260000

haz

Total Cap

ta



36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

GW

Small

High

260000

haz

Total Cap

ta



21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

GW

Medium

High

260000

haz

Total Cap

ta



35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

GW

Large

High

260000

haz

Total Cap

ta



36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

GW

Small

Low

200000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-37831.5372

143758.8355

5105.2822

GW

Medium

Low

200000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

-816.2719

138285.6377

24420.5624

GW

Large

Low

200000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

231.9265

128838.2344

48179.5795

GW

Small

Mid

200000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-36939.9907

143474.4904

5107.3952

GW

Medium

Mid

200000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

-826.5915

138887.9876

25718.2024

GW

Large

Mid

200000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

233.1925

128875.6834

48011.898

143


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

High

200000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-38518.7319

145385.5363

5168.6993

GW

Medium

High

200000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

-880.7598

139311.2399

25127.3351

GW

Large

High

200000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

235.4805

129002.3241

46807.4062

GW

Small

Low

220000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-37540.5642

133552.1076

5026.6995

GW

Medium

Low

220000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

124548.3337

26791.8558

GW

Large

Low

220000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

211.2795

118746.9247

48510.2016

GW

Small

Mid

220000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-36660.6268

133271.5551

5028.7653

GW

Medium

Mid

220000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

125105.0141

28119.9349

GW

Large

Mid

220000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

212.5263

118784.2966

48342.5463

GW

Small

High

220000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-38245.2789

135183.9941

5090.3023

GW

Medium

High

220000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

125288.4993

27690.1004

GW

Large

High

220000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

214.8279

118907.3981

47112.1926

GW

Small

Low

240000

haz

Annual O&M

18.625

0

0

0

0

0

0

72528.9363

-74565.592

129783.4891

4856.3968

GW

Medium

Low

240000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

-829.4844

119769.0458

24303.2381

GW

Large

Low

240000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

194.0736

110337.4978

48785.7821

GW

Small

Mid

240000

haz

Annual O&M

19.55

0

0

0

0

0

0

61702.8777

-68129.2204

128797.7545

4874.1543

GW

Medium

Mid

240000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

116661.7765

28084.2212

GW

Large

Mid

240000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

195.3045

110374.8269

48617.6724

GW

Small

High

240000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-38012.8869

126681.6138

5024.8796

GW

Medium

High

240000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

-894.0657

120794.0535

25010.5832

GW

Large

High

240000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

197.6175

110494.9585

47365.7587

GW

Small

Low

260000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-37096.1693

117851.5198

4906.1034

GW

Medium

Low

260000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

-834.6212

112647.6343

24257.6439

GW

Large

Low

260000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

179.5149

103221.8169

49019.1355

GW

Small

Mid

260000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-36221.1848

117572.5195

4908.1634

GW

Medium

Mid

260000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

-845.2031

113250.7518

25554.3797

GW

Large

Mid

260000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

180.7325

103259.0856

48851.0268

GW

Small

High

260000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-37809.7182

119484.8867

4969.6955

GW

Medium

High

260000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

-899.1682

113671.8617

24966.0901

GW

Large

High

260000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

183.0554

103376.6913

47581.3258

SW

Small

Low

20000

haz

Total Capital

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

SW

Medium

Low

20000

haz

Total Capital

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

SW

Large

Low

20000

haz

Total Capital

36.495

0

0

0

0

0

0

0

-150.8093

522541.2956

2067509.667

SW

Small

Mid

20000

haz

Total Capital

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

SW

Medium

Mid

20000

haz

Total Capital

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

SW

Large

Mid

20000

haz

Total Capital

36.026

0

0

0

0

0

0

0

-172.5454

543990.233

2331807.921

SW

Small

High

20000

haz

Total Capital

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

SW

Medium

High

20000

haz

Total Capital

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

SW

Large

High

20000

haz

Total Capital

36.195

0

0

0

0

0

0

0

-256.1575

703098.5076

3662722.799

SW

Small

Low

40000

haz

Total Capital

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

SW

Medium

Low

40000

haz

Total Capital

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

SW

Large

Low

40000

haz

Total Capital

36.511

0

0

0

0

0

0

0

-152.0363

522736.3265

2053596.758

SW

Small

Mid

40000

haz

Total Capital

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

SW

Medium

Mid

40000

haz

Total Capital

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

SW

Large

Mid

40000

haz

Total Capital

36.053

0

0

0

0

0

0

0

-176.9949

544836.3714

2291858.692

144


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

sw

Small

High

40000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

40000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

40000

haz

Total Cap

tal

36.205

0

0

0

0

0

0

0

-207.7629

694310.5292

3821848.318

sw

Small

Low

60000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

60000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

60000

haz

Total Cap

tal

36.511

0

0

0

0

0

0

0

-153.5159

522888.5227

2051140.741

sw

Small

Mid

60000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

60000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

60000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-154.1836

540604.4527

2370857.899

sw

Small

High

60000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

60000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

60000

haz

Total Cap

tal

36.205

0

0

0

0

0

0

0

-209.2425

694462.7254

3819392.301

sw

Small

Low

80000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

80000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

80000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

80000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

80000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

80000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

80000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

80000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

80000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

sw

Small

Low

100000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

100000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

100000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

100000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

100000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

100000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

100000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

100000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

100000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

sw

Small

Low

20000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

0

1127565.43

15190.8237

sw

Medium

Low

20000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

1140259.936

29511.3306

sw

Large

Low

20000

haz

Annual O&M

36.495

0

0

0

0

0

0

0

2333.0175

1136975.889

-11493.1372

sw

Small

Mid

20000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

0

1127567.203

15173.3724

sw

Medium

Mid

20000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

1140898.477

30801.3688

sw

Large

Mid

20000

haz

Annual O&M

36.026

0

0

0

0

0

0

0

2336.4828

1137005.279

-11422.7473

sw

Small

High

20000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

0

1128945.407

15248.5963

sw

Medium

High

20000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

1141160.969

30277.7233

sw

Large

High

20000

haz

Annual O&M

36.195

0

0

0

0

0

0

0

2344.6023

1136936.744

-7684.5959

sw

Small

Low

40000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-40372.6016

587279.479

9332.6657

sw

Medium

Low

40000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

583103.929

27109.2544

sw

Large

Low

40000

haz

Annual O&M

36.511

0

0

0

0

0

0

0

1160.0166

578626.5735

22700.2023

sw

Small

Mid

40000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-39013.455

586828.1732

9338.745

sw

Medium

Mid

40000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

583735.3861

28397.2601

sw

Large

Mid

40000

haz

Annual O&M

36.053

0

0

0

0

0

0

0

1163.4006

578598.4996

23151.8542

145


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

sw

Small

High

40000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-40309.8755

588640.9229

9396.0306

sw

Medium

High

40000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

583967.0983

27917.0455

sw

Large

High

40000

haz

Annual O&M

36.205

0

0

0

0

0

0

0

1158.1616

579538.7787

16218.4027

sw

Small

Low

60000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-37152.7767

401607.3829

7611.0782

sw

Medium

Low

60000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

397385.341

26308.5463

sw

Large

Low

60000

haz

Annual O&M

36.511

0

0

0

0

0

0

0

767.7803

392611.2986

32435.4587

sw

Small

Mid

60000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-35984.5909

401220.3866

7616.1089

sw

Medium

Mid

60000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

398014.4663

27595.6301

sw

Large

Mid

60000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

764.2051

393129.1073

28511.9361

sw

Small

High

60000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-37262.9915

403025.1764

7673.7138

sw

Medium

High

60000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

398235.9186

27129.9121

sw

Large

High

60000

haz

Annual O&M

36.205

0

0

0

0

0

0

0

768.6568

393203.101

28120.3998

sw

Small

Low

80000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-35529.903

308766.4718

6750.4741

sw

Medium

Low

80000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

-550.8987

306746.7604

24500.7429

sw

Large

Low

80000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

568.3848

299893.0895

34981.0376

sw

Small

Mid

80000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-34454.6782

308410.8133

6754.9876

sw

Medium

Mid

80000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

-553.8979

307386.7869

25779.6526

sw

Large

Mid

80000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

569.9745

299948.3367

34755.1763

sw

Small

High

80000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-35743.6805

310220.6897

6812.4206

sw

Medium

High

80000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

305370.2349

26736.6176

sw

Large

High

80000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

572.2209

300151.5081

33937.4031

sw

Small

Low

100000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-34556.6593

253061.8726

6234.2492

sw

Medium

Low

100000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

248810.5844

25667.8628

sw

Large

Low

100000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

451.9539

243985.4043

38725.1007

sw

Small

Mid

100000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-33532.9539

252723.5169

6238.49

sw

Medium

Mid

100000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

249437.6047

26954.651

sw

Large

Mid

100000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

453.4356

244039.9172

38500.5095

sw

Small

High

100000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-34817.9626

254531.5492

6296.0361

sw

Medium

High

100000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

249650.8648

26500.6689

sw

Large

High

100000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

455.731

244225.8463

37536.9871

sw

Small

Low

120000

haz

Total Capital

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

120000

haz

Total Capital

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

120000

haz

Total Capital

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

120000

haz

Total Capital

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

120000

haz

Total Capital

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

120000

haz

Total Capital

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

120000

haz

Total Capital

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

120000

haz

Total Capital

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

120000

haz

Total Capital

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

sw

Small

Low

140000

haz

Total Capital

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

140000

haz

Total Capital

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

140000

haz

Total Capital

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

140000

haz

Total Capital

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

140000

haz

Total Capital

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

140000

haz

Total Capital

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

146


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

sw

Small

High

140000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

140000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

140000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

sw

Small

Low

160000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

160000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

160000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

160000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

160000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

160000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

160000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

160000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

160000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

sw

Small

Low

180000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

180000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

180000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

180000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

180000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

180000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

180000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

180000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

180000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

sw

Small

Low

120000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-33900.4382

215924.0368

5890.0342

sw

Medium

Low

120000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

211666.7607

25507.7665

sw

Large

Low

120000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

374.3328

206713.6466

41220.6732

sw

Small

Mid

120000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-32918.1745

215599.7161

5894.0304

sw

Medium

Mid

120000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

212293.369

26794.4102

sw

Large

Mid

120000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

375.7431

206767.6276

40997.6054

sw

Small

High

120000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-34205.6675

217407.2924

5951.6382

sw

Medium

High

120000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

212504.7011

26343.0173

sw

Large

High

120000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

378.0706

206942.1029

39936.2611

sw

Small

Low

140000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-33439.3211

189399.3522

5644.1269

sw

Medium

Low

140000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

-660.5507

187798.374

23705.5598

sw

Large

Low

140000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

318.8896

180090.9314

43003.9659

sw

Small

Mid

140000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-32480.2976

189082.8661

5647.9938

sw

Medium

Mid

140000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

-664.1618

188439.1035

24982.8715

sw

Large

Mid

140000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

320.2488

180144.5379

42781.5828

sw

Small

High

140000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-33769.9418

190891.5498

5705.6276

sw

Medium

High

140000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

-730.1226

188914.9671

24365.1968

sw

Large

High

140000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

322.5993

180310.8197

41650.5338

sw

Small

Low

160000

haz

Annual O&M

18.625

0

0

0

0

0

0

63488.5129

-66457.9691

173889.5337

5354.3148

sw

Medium

Low

160000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

165237.1063

25307.4841

sw

Large

Low

160000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

277.307

160123.92

44340.8107

sw

Small

Mid

160000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-32146.4113

169192.4714

5463.6098

sw

Medium

Mid

160000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

165863.1827

26593.8867

sw

Large

Mid

160000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

278.6275

160177.2595

44119.0894

147


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

sw

Small

High

160000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-33437.2181

171001.8918

5521.288

sw

Medium

High

160000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

166071.8611

26146.4553

sw

Large

High

160000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

280.9959

160337.3635

42936.0562

sw

Small

Low

180000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-32817.3744

154030.5068

5316.3073

sw

Medium

Low

180000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

149760.5538

25240.7839

sw

Large

Low

180000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

244.965

144594.0105

45380.8076

sw

Small

Mid

180000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-31893.2113

153725.7723

5319.9801

sw

Medium

Mid

180000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

150386.333

26527.2055

sw

Large

Mid

180000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

246.2556

144647.1468

45159.37

sw

Small

High

180000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-33193.2691

155537.8739

5377.427

sw

Medium

High

180000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

150594.2405

26080.9857

sw

Large

High

180000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

248.6372

144802.4835

43935.5475

sw

Small

Low

200000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

200000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

200000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

200000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

200000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

200000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

200000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

200000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

200000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

sw

Small

Low

220000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

220000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

220000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

220000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

220000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

220000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

220000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

220000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

220000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

sw

Small

Low

240000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

240000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

240000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

240000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

240000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

240000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

sw

Small

High

240000

haz

Total Cap

tal

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

240000

haz

Total Cap

tal

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

240000

haz

Total Cap

tal

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

sw

Small

Low

260000

haz

Total Cap

tal

18.625

0

0

0

0

0

0

-123193.7377

-79962.4309

875448.755

145384.5687

sw

Medium

Low

260000

haz

Total Cap

tal

34.653

0

0

0

0

0

0

0

-6421.767

658890.1107

1055907.247

sw

Large

Low

260000

haz

Total Cap

tal

36.516

0

0

0

0

0

0

0

-142.3532

520600.7049

2094177.562

sw

Small

Mid

260000

haz

Total Cap

tal

19.55

0

0

0

0

0

0

279001.2156

-684702.7894

1114657.33

181484.5646

sw

Medium

Mid

260000

haz

Total Cap

tal

34.335

0

0

0

0

0

0

0

-10424.7434

738369.9087

1145973.904

sw

Large

Mid

260000

haz

Total Cap

tal

36.058

0

0

0

0

0

0

0

-156.1913

540836.1859

2366805.87

148


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for IX

GW/SW

Size
Category

Comp
Level

Bed
Volumes

Spent
Media

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

sw

Small

High

260000

haz

Total Capital

21.435

0

0

0

0

0

0

942863.789

-1917858.317

2035549.745

296537.0341

sw

Medium

High

260000

haz

Total Capital

35.459

0

0

0

0

0

0

0

-11186.2438

943432.6253

1827403.638

sw

Large

High

260000

haz

Total Capital

36.211

0

0

0

0

0

0

0

-205.4211

693814.6627

3820071.758

sw

Small

Low

200000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-32612.8967

141654.1386

5201.6989

sw

Medium

Low

200000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

137379.3115

25187.6006

sw

Large

Low

200000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

219.0913

132170.0842

46212.6382

sw

Small

Mid

200000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-31700.3538

141353.3214

5205.3071

sw

Medium

Mid

200000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

138005.0096

26473.7442

sw

Large

Mid

200000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

220.3583

132223.0395

45991.888

sw

Small

High

200000

haz

Annual O&M

21.435

0

0

0

0

0

0

47582.6992

-58001.1186

146451.4913

5183.5116

sw

Medium

High

200000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

138212.1074

26028.447

sw

Large

High

200000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

222.7507

132374.5332

44735.9563

sw

Small

Low

220000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-32443.0172

131529.127

5107.445

sw

Medium

Low

220000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

127249.091

25143.9686

sw

Large

Low

220000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

197.922

122005.0527

46893.7223

sw

Small

Mid

220000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-31547.1331

131233.8608

5110.9746

sw

Medium

Mid

220000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

127874.7079

26430.1872

sw

Large

Mid

220000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

199.1691

122057.8891

46672.7612

sw

Small

High

220000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-32824.4526

133038.9559

5168.6688

sw

Medium

High

220000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

-782.9687

131237.5948

23985.0851

sw

Large

High

220000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

201.5707

122206.2415

45390.2146

sw

Small

Low

240000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-32286.9815

123086.1834

5029.46

sw

Medium

Low

240000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

118807.5267

25107.196

sw

Large

Low

240000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

180.2811

113534.1838

47460.8947

sw

Small

Mid

240000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-31396.1364

122792.551

5032.9755

sw

Medium

Mid

240000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

119432.8595

26393.5887

sw

Large

Mid

240000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

181.5122

113586.8837

47240.2875

sw

Small

High

240000

haz

Annual O&M

21.435

0

0

0

0

0

0

0

-32686.3565

124602.8057

5090.3449

sw

Medium

High

240000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

0

119639.0762

25949.6259

sw

Large

High

240000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

183.9209

113732.6369

45935.8979

sw

Small

Low

260000

haz

Annual O&M

18.625

0

0

0

0

0

0

0

-32150.6672

115941.1012

4963.2928

sw

Medium

Low

260000

haz

Annual O&M

34.653

0

0

0

0

0

0

0

0

111664.4849

25076.5171

sw

Large

Low

260000

haz

Annual O&M

36.516

0

0

0

0

0

0

0

165.3538

106366.5505

47940.7627

sw

Small

Mid

260000

haz

Annual O&M

19.55

0

0

0

0

0

0

0

-31266.4033

115649.7522

4966.7577

sw

Medium

Mid

260000

haz

Annual O&M

34.335

0

0

0

0

0

0

0

0

112289.8773

26362.694

sw

Large

Mid

260000

haz

Annual O&M

36.058

0

0

0

0

0

0

0

166.5714

106419.1291

47720.7135

sw

Small

High

260000

haz

Annual O&M

21.435

0

0

0

0

0

0

42655.2744

-54989.4188

120410.252

4953.2804

sw

Medium

High

260000

haz

Annual O&M

35.459

0

0

0

0

0

0

0

-797.2389

115709.1932

23882.7022

sw

Large

High

260000

haz

Annual O&M

36.211

0

0

0

0

0

0

0

168.9858

106562.7197

46396.821

149


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

A3 Capital and Annual O&M Cost Equation Parameters for RO/NF

Cost Equation Parameters for RO/NF

GW/SW

Size Category

Comp Level

Cost Type

Useful Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

Low

Total Capital

23.115

0

0

0

0

0

0

437053.0639

-1156916.569

1967488.564

1463918.156

GW

Medium

Low

Total Capital

28.99411765

0

0

0

0

0

0

-2261.2437

7544.8133

1088868.815

2219118.011

GW

Large

Low

Total Capital

29.67368421

0

0

0

0

0

0

0

-162.9871

693831.825

4788367.47

GW

Small

Mid

Total Capital

22.415

0

0

0

0

0

0

0

-1133971.613

2808082.31

1573876.809

GW

Medium

Mid

Total Capital

27.92941176

0

0

0

0

0

0

-2783.24

10761.4023

1266677.024

2868082.839

GW

Large

Mid

Total Capital

28.66315789

0

0

0

0

0

0

12.7538

-3409.4027

916678.3253

5223375.504

GW

Small

High

Total Capital

25.465

0

0

0

0

0

0

712817.9297

-2529832.211

3763165.486

1868182.212

GW

Medium

High

Total Capital

30.34705882

0

0

0

0

0

0

-2435.4521

2389.2312

1333865.778

3447474.127

GW

Large

High

Total Capital

30.17894737

0

0

0

0

0

0

3.8507

-1269.4529

844084.419

6296610.515

GW

Small

Low

Annual O&M

23.115

0

0

0

0

0

0

2063047.154

-897216.0192

484242.8872

44574.8113

GW

Medium

Low

Annual O&M

28.99411765

0

0

0

0

0

0

13193.5845

-122763.9786

653229.2641

-34056.4398

GW

Large

Low

Annual O&M

29.67368421

0

0

0

0

0

0

6.7065

-968.2361

282811.6573

375801.5896

GW

Small

Mid

Annual O&M

22.415

0

0

0

0

0

0

2057176.273

-893150.114

483387.94

44626.9484

GW

Medium

Mid

Annual O&M

27.92941176

0

0

0

0

0

0

13193.5845

-122763.9786

653229.2641

-34056.4398

GW

Large

Mid

Annual O&M

28.66315789

0

0

0

0

0

0

6.7065

-968.2361

282811.6573

375801.5896

GW

Small

High

Annual O&M

25.465

0

0

0

0

0

0

2067561.843

-900342.6879

484900.339

44534.718

GW

Medium

High

Annual O&M

30.34705882

0

0

0

0

0

0

13193.5845

-122763.9786

653229.2641

-34056.4398

GW

Large

High

Annual O&M

30.17894737

0

0

0

0

0

0

6.7065

-968.2361

282811.6573

375801.5896

SW

Small

Low

Total Capital

23.17

0

0

0

0

0

0

792516.8148

-2008873.791

2491357.216

1428953.402

SW

Medium

Low

Total Capital

29.3

0

0

0

0

0

0

3012.7737

-81899.4104

1466243.733

1847192.192

SW

Large

Low

Total Capital

30.78947368

0

0

0

0

0

0

0

-290.3761

644985.4841

4675860.549

SW

Small

Mid

Total Capital

22.445

0

0

0

0

0

0

4158066.618

-7581773.041

5272114.206

1424299.434

SW

Medium

Mid

Total Capital

28.21764706

0

0

0

0

0

0

10041.0742

-208062.7703

2260952.426

1637438.777

SW

Large

Mid

Total Capital

29.5

0

0

0

0

0

0

8.3787

-2744.4363

851006.8369

4837119.648

SW

Small

High

Total Capital

25.54

0

0

0

0

0

0

2628171.02

-5820941.321

5245655.252

1790788.574

SW

Medium

High

Total Capital

30.46470588

0

0

0

0

0

0

7631.6394

-169559.7783

2107573.492

2557744.787

SW

Large

High

Total Capital

31.04210526

0

0

0

0

0

0

0

-484.018

737323.2359

6841317.778

SW

Small

Low

Annual O&M

23.17

0

0

0

0

0

0

0

-153633.167

551973.2284

45651.642

SW

Medium

Low

Annual O&M

29.3

0

0

0

0

0

0

17482.5751

-161274.0615

821907.5954

-56588.3578

SW

Large

Low

Annual O&M

30.78947368

0

0

0

0

0

0

11.4871

-1669.1707

338108.3881

486893.4377

SW

Small

Mid

Annual O&M

22.445

0

0

0

0

0

0

2480041.671

-1391655.414

686771.0419

42971.874

SW

Medium

Mid

Annual O&M

28.21764706

0

0

0

0

0

0

18853.7351

-171558.7816

844811.586

-70541.8011

SW

Large

Mid

Annual O&M

29.5

0

0

0

0

0

0

11.4871

-1669.1707

338108.3881

486893.4377

SW

Small

High

Annual O&M

25.54

0

0

0

0

0

0

1479601.694

-893288.7439

632978.4064

44029.8274

SW

Medium

High

Annual O&M

30.46470588

0

0

0

0

0

0

17842.5314

-163974.0014

827920.3403

-60251.4092

SW

Large

High

Annual O&M

31.04210526

0

0

0

0

0

0

11.4871

-1669.1707

338108.3881

486893.4377

150


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

A.4 Capital and Annual O&M Cost Equation Parameters for POU RO

Cost Equation Parameters for POU RO

GW/SW

Size
Category

Comp
Level

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

n/a

Total Capital

10

700944.37

1.0355

0

0

0

0

0

0

0

0

GW

Small

n/a

Annual O&M

10

0

0

0

0

0

0

0

-135400.9866

701268.6995

2454.8593

SW

Small

n/a

Total Capital

10

705013.194

1.0465

0

0

0

0

0

0

0

0

SW

Small

n/a

Annual O&M

10

0

0

0

0

0

0

0

0

652386.1744

690.4192

151


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

A.5 Capital and Annual O&M Cost Equation Parameters for Nontreatment Options

Cost Equation Parameters for Nontreatment Options

GW/SW

Size
Category

Comp
Level

Design Type

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

GW

Small

Low

Interconnection

Total Capital

17.21

0

0

0

0

0

0

-560032.442

771721.5229

51365.9263

600231.0091

GW

Medium

Low

Interconnection

Total Capital

22.05

0

0

0

0

0

0

-55058.6273

363044.7555

-566594.58

1173013.79

GW

Small

Mid

Interconnection

Total Capital

17.23

0

0

0

0

0

0

-605774.9391

831092.7558

43597.1038

611295.3516

GW

Medium

Mid

Interconnection

Total Capital

22.17

0

0

0

0

0

0

-59703.7808

402536.2258

-647866.3051

1241967.732

GW

Small

High

Interconnection

Total Capital

33.93

0

0

0

0

0

0

0

-631069.7282

1385198.056

1313780.871

GW

Medium

High

Interconnection

Total Capital

38.17

0

0

0

0

0

0

0

-116324.7782

965237.1476

1292920.326

GW

Small

Low

Interconnection

Annual O&M

17.21

0

0

0

0

0

0

1172393.696

-323637.2531

1328660.543

1012.2372

GW

Medium

Low

Interconnection

Annual O&M

22.05

0

0

0

0

0

0

140676.5805

-307834.65

1526384.539

-37333.9888

GW

Small

Mid

Interconnection

Annual O&M

17.23

0

0

0

0

0

0

1172393.696

-323637.2531

1328660.543

1012.2372

GW

Medium

Mid

Interconnection

Annual O&M

22.17

0

0

0

0

0

0

140676.5805

-307834.65

1526384.539

-37333.9888

GW

Small

High

Interconnection

Annual O&M

33.93

0

0

0

0

0

0

964898.8074

-258272.7146

1319201.805

1130.9069

GW

Medium

High

Interconnection

Annual O&M

38.17

0

0

0

0

0

0

122049.6952

-267262.8612

1494257.446

-32645.9798

GW

Small

Low

New Well Construction

Total Capital

24.83

0

0

0

0

0

0

628206.1808

-605771.3415

437758.3298

220003.705

GW

Medium

Low

New Well Construction

Total Capital

28.36

0

0

0

0

0

0

-128668.7397

872536.2865

-1339364.867

1258633.582

GW

Small

Mid

New Well Construction

Total Capital

25.75

0

0

0

0

0

0

1559164.557

-1723018.32

1107234.322

398078.7007

GW

Medium

Mid

New Well Construction

Total Capital

29.01

0

0

0

0

0

0

-254010.7513

1721705.053

-2694012.854

2491392.114

GW

Small

High

New Well Construction

Total Capital

26.23

0

0

0

0

0

0

1765114.84

-2018136.542

1397596.137

422042.282

GW

Medium

High

New Well Construction

Total Capital

29.84

0

0

0

0

0

0

-296012.9238

2006412.029

-3148814.65

2912158.263

GW

Small

Low

New Well Construction

Annual O&M

24.83

0

0

0

0

0

0

-73956.3039

92162.0229

49872.6092

3762.882

GW

Medium

Low

New Well Construction

Annual O&M

28.36

0

0

0

0

0

0

-33388.3209

88799.4329

5402.2413

17891.507

GW

Small

Mid

New Well Construction

Annual O&M

25.75

0

0

0

0

0

0

-73956.3039

92162.0229

49872.6092

3762.882

GW

Medium

Mid

New Well Construction

Annual O&M

29.01

0

0

0

0

0

0

-33388.3209

88799.4329

5402.2413

17891.507

GW

Small

High

New Well Construction

Annual O&M

26.23

0

0

0

0

0

0

-73956.3039

92162.0229

49872.6092

3762.882

GW

Medium

High

New Well Construction

Annual O&M

29.84

0

0

0

0

0

0

-33388.3209

88799.4329

5402.2413

17891.507

SW

Small

Low

Interconnection

Total Capital

17.21

0

0

0

0

0

0

-560032.442

771721.5229

51365.9263

600231.0091

SW

Medium

Low

Interconnection

Total Capital

22.05

0

0

0

0

0

0

-55058.6273

363044.7555

-566594.58

1173013.79

SW

Small

Mid

Interconnection

Total Capital

17.23

0

0

0

0

0

0

-605774.9391

831092.7558

43597.1038

611295.3516

SW

Medium

Mid

Interconnection

Total Capital

22.17

0

0

0

0

0

0

-59703.7808

402536.2258

-647866.3051

1241967.732

SW

Small

High

Interconnection

Total Capital

33.93

0

0

0

0

0

0

0

-631069.7282

1385198.056

1313780.871

SW

Medium

High

Interconnection

Total Capital

38.17

0

0

0

0

0

0

0

-116324.7782

965237.1476

1292920.326

SW

Small

Low

Interconnection

Annual O&M

17.21

0

0

0

0

0

0

0

271230.0319

1251910.323

2876.94

SW

Medium

Low

Interconnection

Annual O&M

22.05

0

0

0

0

0

0

164523.1139

-347590.2383

1546276.037

-40406.7767

SW

Small

Mid

Interconnection

Annual O&M

17.23

0

0

0

0

0

0

0

271230.0319

1251910.323

2876.94

SW

Medium

Mid

Interconnection

Annual O&M

22.17

0

0

0

0

0

0

164523.1139

-347590.2383

1546276.037

-40406.7767

SW

Small

High

Interconnection

Annual O&M

33.93

0

0

0

0

0

0

1174540.783

-386902.7001

1337372.888

723.1604

SW

Medium

High

Interconnection

Annual O&M

38.17

0

0

0

0

0

0

142753.0832

-301809.514

1511610.796

-35345.6582

SW

Small

Low

New Well Construction

Total Capital

24.83

0

0

0

0

0

0

628206.1808

-605771.3415

437758.3298

220003.705

SW

Medium

Low

New Well Construction

Total Capital

28.36

0

0

0

0

0

0

-128668.7397

872536.2865

-1339364.867

1258633.582

SW

Small

Mid

New Well Construction

Total Capital

25.75

0

0

0

0

0

0

1559164.557

-1723018.32

1107234.322

398078.7007

SW

Medium

Mid

New Well Construction

Total Capital

29.01

0

0

0

0

0

0

-254010.7513

1721705.053

-2694012.854

2491392.114

SW

Small

High

New Well Construction

Total Capital

26.23

0

0

0

0

0

0

1765114.84

-2018136.542

1397596.137

422042.282

SW

Medium

High

New Well Construction

Total Capital

29.84

0

0

0

0

0

0

-296012.9238

2006412.029

-3148814.65

2912158.263

152


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water March 2024

Cost Equation Parameters for Nontreatment Options

GW/SW

Size
Category

Comp
Level

Design Type

Cost Type

Useful
Life

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

SW

Small

Low

New Well Construction

Annual O&M

24.83

0

0

0

0

0

0

-35362.6715

73214.0449

51411.2015

3756.6482

sw

Medium

Low

New Well Construction

Annual O&M

28.36

0

0

0

0

0

0

-41326.1706

106550.8195

-5783.4687

20024.7684

SW

Small

Mid

New Well Construction

Annual O&M

25.75

0

0

0

0

0

0

-35362.6715

73214.0449

51411.2015

3756.6482

sw

Medium

Mid

New Well Construction

Annual O&M

29.01

0

0

0

0

0

0

-41326.1706

106550.8195

-5783.4687

20024.7684

sw

Small

High

New Well Construction

Annual O&M

26.23

0

0

0

0

0

0

-35362.6715

73214.0449

51411.2015

3756.6482

sw

Medium

High

New Well Construction

Annual O&M

29.84

0

0

0

0

0

0

-41326.1706

106550.8195

-5783.4687

20024.7684

153


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Appendix B. Example WBS Model Outputs

Notes:

•	To show the variations among both system size and cost level, the examples chosen for each
scenario modeled typically include a low-cost small system, a mid-cost medium system, and
a high-cost large system.

•	Each of the examples is among the individual flow rate-specific estimates used to generate
the cost equations presented in Appendix A (see Section 7.1 for details on the method used to
develop the equations).

154


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

B.l Example Outputs for GAC

Granular Activated Carbon(GAC), design 0.500 mgd, average 0.162 mgd

Groundwater

Low-Cost Components

Design Type: Pressure

Bed Volumes: 50000

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1.1

Pressure Vessels - Carbon Steel - Plastic Internals

160,077

30

2.2.1

Residuals Holding Tanks/Basins - Fiberglass Tanks

87,354

20

3.1.1

Process Piping - PVC

969

17

3.2.1

Backwash Piping - PVC

1,646

17

3.3.1

Influent and Treated Water Piping - PVC

969

17

3.4.1

Residuals Piping - PVC

168

17

3.4.2

Residuals Piping - Excavation

1,006

17

3.4.3

Residuals Piping - Bedding

46

17

3.4.5

Residuals Piping - Backfill and Compaction

607

17

3.4.6

Residuals Piping - Thrust Blocks

122

17

4.1.1

Motor/Air Operated (on/off) Valves - Process - Polypropylene/PVC

12,880

20

4.1.2

Motor/Air Operated (on/off) Valves - Backwash - Polypropylene/PVC

12,788

20

4.1.3

Motor/Air Operated (on/off) Valves - Residuals - Polypropylene/PVC

2,163

20

4.2.1

Manual Valves - Influent and treated water - Polypropylene/PVC

1,791

20

4.2.2

Manual Valves - Process - Polypropylene/PVC

1,791

20

4.3.1

Check Valves - Backwash - Polypropylene/PVC

2,167

20

4.3.2

Check Valves - Residuals - Polypropylene/PVC

240

20

4.3.5

Check Valves - Influent - Polypropylene/PVC

1,306

20

5.3

Pumps - Residuals

9,616

17

6.1.1

Instrumentation - Flow Meters - Influent and Treated Water - Propeller

4,796

14

6.3.1

Instrumentation - Flow Meters - Backwash - Propeller

5,645

14

6.4.1

Instrumentation - Flow Meters - Residuals - Propeller

2,238

14

6.7

High/Low Alarm (for holding tanks)

644

14

6.12.1

Sampling Ports - Carbon Steel

250

22

7.1.1

System Controls - PLC Units - PLC racks/power supplies

1,020

8

7.1.2

System Controls - PLC Units - CPUs

851

8

7.1.3

System Controls - PLC Units - I/O discrete input modules

430

8

7.1.4

System Controls - PLC Units - I/O discrete output modules

382

8

7.1.5

System Controls - PLC Units - I/O combination analog modules

1,879

8

7.1.6

System Controls - PLC Units - Ethernet modules

3,016

8

7.1.9

System Controls - PLC Units - UPSs

986

8

7.2.1

System Controls - Operator Equipment - Drive controllers

2,790

14

7.2.2

System Controls - Operator Equipment - Operator interface units

10,492

8

9.1

Media - Initial GAC Charge

55,512

N/A

12.1

Solids drying pad

493

37

14.1.1

Building Structures and HVAC - Building 1 - Low Quality

55,667

37

155


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)

14.5

Building Structures and HVAC - Concrete Pad

3,449

37

Indirect

Indirect and Add-On Costs (contingency from model)

333,296

37



Process Cost

448,246





System Cost

781,542





O&M Cost

29,459



Totals are computed before component costs are rounded

Breakdown of indirect and add-on costs



Mobilization and Demobilization

0

Architectural Fees for Treatment Building

0

Site Work

9,590

Yard Piping

3,988

Geotechnical

0

Standby Power

0

Electrical (including yard wiring)

38,913

Contingency

71,372

Process Engineering

89,649

Construction Management and GC Overhead

9,248

Permits

4,141

Pilot Study

51,042

Land Cost

1,564

Installation, Transportation, and O&P (0.0%)

0

Miscellaneous Allowance (10.0%)

44,825

Legal, Fiscal, and Administrative (2.0%)

8,965

Sales Tax (0.0%)

0

Financing during Construction (0.0%)

0



Breakdown of O&M costs



Manager (14 hrs/yr @ $52.3563/hr)

716

Clerical (14 hrs/yr @ $34.0099/hr)

465

Operator (137 hrs/yr @ $35.3133/hr)

4,831

Materials for residuals pumps (calculated as a percentage of capital)

96

Materials for GAC contactors (calculated as a percentage of capital)

1,601

Building and HVAC maintenance (materials and labor) (550 sf @ $6.6975/sf/yr)

3,684

Makeup GAC (1403 Ibs/yr @ $2.4322/lb)

3,413

Off-site GAC regeneration (3275 Ibs/yr @ $1,9491/lb)

6,383

Energy for backwash pumps (0 Mwh/yr @ $0.1225/kWh)

15

Energy for residuals pumps (0 Mwh/yr @ $0.1225/kwh)

26

Energy for lighting (0 Mwh/yr @ $0.1225/kwh)

3

Energy for ventilation (0 Mwh/yr @ $0.1225/kwh)

46

POTW discharge fees (887471 gal/yr @ $0.0062/gal)

5,490

Holding tanks solids disposal (0 ton/yr @ $119.7706/ton)

11

Miscellaneous Allowance (0 @ $)

2,678

156


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Granular Activated Carbon(GAC), design 5.809 mgd, average 2.455 mgd

Groundwater

Mid-Cost Components

Design Type: Pressure

Bed Volumes: 50000

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1.1

Pressure Vessels - Carbon Steel - Plastic Internals

1,528,099

35

2.1.1

Backwash Tanks/Basins - Fiberglass Tanks

83,665

25

2.2.1

Residuals Holding Tanks/Basins - Fiberglass Tanks

131,466

25

3.1.1

Process Piping - CPVC

15,770

22

3.2.1

Backwash Piping - CPVC

40,951

22

3.3.1

Influent and Treated Water Piping - CPVC

42,529

22

3.4.1

Residuals Piping - CPVC

3,153

22

3.4.2

Residuals Piping - Excavation

1,089

22

3.4.3

Residuals Piping - Bedding

51

22

3.4.5

Residuals Piping - Backfill and Compaction

658

22

3.4.6

Residuals Piping - Thrust Blocks

252

22

4.1.1

Motor/Air Operated (on/off) Valves - Process - Cast Iron

299,736

25

4.1.2

Motor/Air Operated (on/off) Valves - Backwash - Cast Iron

401,768

25

4.1.3

Motor/Air Operated (on/off) Valves - Residuals - Cast Iron

7,700

25

4.2.1

Manual Valves - Influent and treated water - Cast Iron

5,870

25

4.2.2

Manual Valves - Process - Cast Iron

20,540

25

4.3.1

Check Valves - Backwash - Cast Iron

21,096

25

4.3.2

Check Valves - Residuals - Cast Iron

1,508

25

4.3.5

Check Valves - Influent - Cast Iron

14,924

25

5.2

Pumps - Backwash

66,971

20

5.3

Pumps - Residuals

11,072

20

6.1.1

Instrumentation - Flow Meters - Influent and Treated Water - Venturi

4,557

15

6.3.1

Instrumentation - Flow Meters - Backwash - Venturi

4,025

15

6.4.1

Instrumentation - Flow Meters - Residuals - Venturi

2,396

15

6.6

High/Low Alarms (for backwash tanks)

644

15

6.7

High/Low Alarm (for holding tanks)

644

15

6.8

pH Meters

6,094

15

6.9

Temperature meters

1,590

15

6.1

Turbidity meters

18,551

15

6.11

Head loss sensors

33,445

15

6.12.1

Sampling Ports - Stainless Steel

850

35

7.1.1

System Controls - PLC Units - PLC racks/power supplies

3,060

10

7.1.2

System Controls - PLC Units - CPUs

851

10

7.1.3

System Controls - PLC Units - I/O discrete input modules

860

10

7.1.4

System Controls - PLC Units - I/O discrete output modules

382

10

7.1.5

System Controls - PLC Units - I/O combination analog modules

8,767

10

7.1.6

System Controls - PLC Units - Ethernet modules

3,016

10

157


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)

7.1.7

System Controls - PLC Units - Base expansion modules

321

10

7.1.8

System Controls - PLC Units - Base expansion controller modules

618

10

7.1.9

System Controls - PLC Units - UPSs

986

10

7.2.1

System Controls - Operator Equipment - Drive controllers

8,371

15

7.2.2

System Controls - Operator Equipment - Operator interface units

3,537

10

7.2.3

System Controls - Operator Equipment - PC Workstations

4,326

10

7.2.4

System Controls - Operator Equipment - Printers - laser jet

391

10

7.3.1

System Controls - Controls Software - Operator interface software

91

10

7.3.2

System Controls - Controls Software - PLC programming software

622

10

7.3.3

System Controls - Controls Software - PLC data collection software

671

10

7.3.4

System Controls - Controls Software - Plant intelligence software

20,681

10

8.1.1

Solids Transfer - Eductors for GAC Transfer

11,195

45

9.1

Media - Initial GAC Charge

683,428

N/A

12.1

Solids drying pad

986

40

14.1.1

Building Structures and HVAC - Building 1 - Medium Quality

849,810

40

14.1.3.1

Building Structures and HVAC - Building 1 - Heating and Cooling System -
Heat pump

8,152

25

14.5

Building Structures and HVAC - Concrete Pad

81,304

40

Indirect

Indirect and Add-On Costs (contingency from model)

3,147,862

40



Process Cost

4,464,088





System Cost

7,611,950





O&M Cost

353,108



Totals are computed before component costs are rounded

Breakdown of indirect and add-on costs



Mobilization and Demobilization

218,818

Architectural Fees for Treatment Building

65,749

Site Work

157,888

Yard Piping

43,634

Geotechnical

0

Standby Power

5,940

Electrical (including yard wiring)

352,482

Contingency

521,172

Process Engineering

535,691

Construction Management and GC Overhead

281,613

Permits

10,308

Pilot Study

166,936

Land Cost

28,735

Installation, Transportation, and O&P (0.0%)

0

Miscellaneous Allowance (10.0%)

446,409

Legal, Fiscal, and Administrative (2.0%)

89,282

Sales Tax (0.0%)

0

Financing during Construction (5.0%)

223,204

158


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of O&M costs



Manager (79 hrs/yr @ $66.7054/hr)

5,240

Clerical (79 hrs/yr @ $43.9163/hr)

3,450

Operator (786 hrs/yr @ $39.756/hr)

31,233

Materials for backwash pumps (calculated as a percentage of capital)

670

Materials for residuals pumps (calculated as a percentage of capital)

111

Materials for GAC contactors (calculated as a percentage of capital)

15,281

Building and HVAC maintenance (materials and labor) (9160 sf @ $6.9362/sf/yr)

63,535

Makeup GAC (21268 Ibs/yr @ $2.0848/lb)

44,340

Off-site GAC regeneration (49625 Ibs/yr @ $1,2355/lb)

61,311

Energy for backwash pumps (2 Mwh/yr @ $0.1225/kWh)

197

Energy for residuals pumps (3 Mwh/yr @ $0.1225/kwh)

344

Energy for lighting (4 Mwh/yr @ $0.1225/kwh)

529

Energy for ventilation (9 Mwh/yr @ $0.1225/kwh)

1,134

Heat pump (cooling mode) (51 Mwh/yr @ $0.1225/kwh)

6,294

Heat pump (146 Mwh/yr @ $0.1225/kwh)

17,900

POTW discharge fees (11628900 gal/yr @ $0.006/gal)

69,269

Holding tanks solids disposal (1 ton/yr @ $119.7706/ton)

168

Miscellaneous Allowance (0 @ $)

32,101

159


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Granular Activated Carbon(GAC), design 56.271 mgd, average 24.863 mgd

Surface Water

High-Cost Components

Design Type: Gravity

Bed Volumes: 50000

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.2.1

GAC Contact Basins - Concrete

979,731

40

1.2.2

GAC Contact Basins - Internals (Underdrain/Backwash System)

4,336,193

40

1.2.3

GAC Contact Basins - Aluminum Railing

40,920

40

1.2.4

GAC Contact Basins - Aluminum Stairs

6,900

40

1.2.5

GAC Contact Basins - Excavation

418,200

40

1.2.6

GAC Contact Basins - Backfill and Compaction

83,827

40

2.2.1

Residuals Holding Tanks/Basins - Steel Tanks

165,120

35

3.1.1

Process Piping - CPVC

76,552

22

3.2.1

Backwash Piping - PVC

26,200

22

3.3.1

Influent and Treated Water Piping - PVC

32,276

22

3.4.1

Residuals Piping - CPVC

17,347

22

3.4.2

Residuals Piping - Excavation

1,326

22

3.4.3

Residuals Piping - Bedding

64

22

3.4.5

Residuals Piping - Backfill and Compaction

801

22

3.4.6

Residuals Piping - Thrust Blocks

1,316

22

4.1.1

Motor/Air Operated (on/off) Valves - Process - Cast Iron

609,373

25

4.1.2

Motor/Air Operated (on/off) Valves - Backwash - Cast Iron

931,909

25

4.1.3

Motor/Air Operated (on/off) Valves - Residuals - Cast Iron

21,410

25

4.2.1

Manual Valves - Influent and treated water - Cast Iron

37,235

25

4.3.1

Check Valves - Backwash - Cast Iron

118,377

25

4.3.2

Check Valves - Residuals - Cast Iron

7,979

25

4.3.5

Check Valves - Influent - Stainless Steel

49,272

25

5.1

Pumps - Booster

783,275

20

5.2

Pumps - Backwash

315,622

20

5.3

Pumps - Residuals

20,205

20

6.1.1

Instrumentation - Flow Meters - Influent and Treated Water - Magnetic

25,132

15

6.3.1

Instrumentation - Flow Meters - Backwash - Magnetic

16,128

15

6.4.1

Instrumentation - Flow Meters - Residuals - Magnetic

6,629

15

6.5

Level Switches/Alarms (for vessels)

9,011

15

6.7

High/Low Alarm (for holding tanks)

644

15

6.8

pH Meters

42,660

15

6.9

Temperature meters

1,590

15

6.1

Turbidity meters

98,939

15

6.11

Head loss sensors

33,445

15

6.12.1

Sampling Ports - Stainless Steel

850

35

7.1.1

System Controls - PLC Units - PLC racks/power supplies

3,060

10

7.1.2

System Controls - PLC Units - CPUs

851

10

160


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)

7.1.3

System Controls - PLC Units - I/O discrete input modules

1,720

10

7.1.4

System Controls - PLC Units - I/O discrete output modules

382

10

7.1.5

System Controls - PLC Units - I/O combination analog modules

10,019

10

7.1.6

System Controls - PLC Units - Ethernet modules

3,016

10

7.1.7

System Controls - PLC Units - Base expansion modules

321

10

7.1.8

System Controls - PLC Units - Base expansion controller modules

618

10

7.1.9

System Controls - PLC Units - UPSs

986

10

7.2.1

System Controls - Operator Equipment - Drive controllers

23,717

15

7.2.2

System Controls - Operator Equipment - Operator interface units

3,537

10

7.2.3

System Controls - Operator Equipment - PC Workstations

4,326

10

7.2.4

System Controls - Operator Equipment - Printers - laser jet

391

10

7.3.1

System Controls - Controls Software - Operator interface software

91

10

7.3.2

System Controls - Controls Software - PLC programming software

622

10

7.3.3

System Controls - Controls Software - PLC data collection software

671

10

7.3.4

System Controls - Controls Software - Plant intelligence software

20,681

10

8.1.1

Solids Transfer - Eductors for GAC Transfer

96,667

45

9.1

Media - Initial GAC Charge

6,610,302

N/A

12.1

Solids drying pad

5,420

40

14.1.1

Building Structures and HVAC - Building 1 - Medium Quality

2,120,933

40

14.1.2.1

Building Structures and HVAC - Building 1 - Heating System - Natural gas
condensing furnace

93,485

25

14.1.3.1

Building Structures and HVAC - Building 1 - Cooling System - Air
conditioner

42,794

25

14.2.1

Building Structures and HVAC - Building 2 - Medium Quality

532,409

40

14.2.2.1

Building Structures and HVAC - Building 2 - Heating System - Natural gas
condensing furnace

53,140

25

14.2.3.1

Building Structures and HVAC - Building 2 - Cooling System - Air
conditioner

94,831

25

14.5

Building Structures and HVAC - Concrete Pad

272,984

40

Indirect

Indirect and Add-On Costs (contingency from model)

11,145,151

40



Process Cost

19,314,431





System Cost

30,459,582





O&M Cost

2,522,462



Totals are computed before component costs are rounded

161


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of indirect and add-on costs



Mobilization and Demobilization

475,842

Architectural Fees for Treatment Building

199,056

Site Work

534,800

Yard Piping

116,303

Geotechnical

185,650

Standby Power

99,082

Electrical (including yard wiring)

1,610,386

Contingency

1,764,733

Process Engineering

1,545,155

Construction Management and GC Overhead

819,367

Permits

24,819

Pilot Study

166,936

Land Cost

319,568

Installation, Transportation, and O&P (0.0%)

0

Miscellaneous Allowance (10.0%)

1,931,443

Legal, Fiscal, and Administrative (2.0%)

386,289

Sales Tax (0.0%)

0

Financing during Construction (5.0%)

965,722



Breakdown of O&M costs



Manager (310 hrs/yr @ $83.1618/hr)

25,755

Clerical (310 hrs/yr @ $43.9163/hr)

13,601

Operator (3097 hrs/yr @ $48.511/hr)

150,240

Materials for booster pumps (calculated as a percentage of capital)

7,833

Materials for backwash pumps (calculated as a percentage of capital)

3,156

Materials for residuals pumps (calculated as a percentage of capital)

202

Materials for GAC contactors (calculated as a percentage of capital)

53,637

Building and HVAC maintenance (materials and labor) (30660 sf @ $6.9362/sf/yr)

212,663

Makeup GAC (215391 Ibs/yr @ $1.8028/lb)

388,315

Off-site GAC regeneration (502578 Ibs/yr @ $1,2355/lb)

620,930

Energy for booster pumps (1672 Mwh/yr @ $0.1225/kwh)

204,732

Energy for backwash pumps (11 Mwh/yr @ $0.1225/kWh)

1,334

Energy for residuals pumps (19 Mwh/yr @ $0.1225/kwh)

2,331

Energy for lighting (57 Mwh/yr @ $0.1225/kwh)

6,977

Energy for ventilation (56 Mwh/yr @ $0.1225/kwh)

6,850

Air conditioning (467 Mwh/yr @ $0.1225/kwh)

57,141

Natural gas condensing furnace (71192 therms/yr @ $0.9468/therm)

67,402

POTW discharge fees (78840000 gal/yr @ $0.0059/gal)

468,345

Holding tanks solids disposal (14 ton/yr @ $119.7706/ton)

1,701

Miscellaneous Allowance (0 @ $)

229,315

162


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

B.2 Example Outputs for IX

Anion Exchange for PFAS(AX_PFAS), design 0.500 mgd, average 0.162 mgd

Groundwater

Low-Cost Components

Bed Volumes: 120000

Spent Media: incineration (non-hazardous)			

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1

Pressure Vessels - Carbon Steel - Plastic Internals

105,615

30

2.1

Ion Exchange Resin - PFAS-Selective

92,584

N/A

4.1

Cartridge Filters - Cartridge Filters

21,811

30

5.1.1

Backwash Piping - PVC

525

17

5.3.1

Process Piping - PVC

646

17

5.5.1

Influent and Treated Water Piping - PVC

646

17

5.7.1

Residuals Piping - PVC

301

17

5.7.2

Residuals Piping - Excavation

1,057

17

5.7.3

Residuals Piping - Bedding

49

17

5.7.4

Residuals Piping - Backfill and Compaction

638

17

5.7.5

Residuals Piping - Thrust Blocks

118

17

6.1.1

Valves and Fittings - Motor/Air Operated (on/off) - Process -
Polypropylene/PVC

12,880

20

6.1.2

Valves and Fittings - Motor/Air Operated (on/off) - Backwash -
Polypropylene/PVC

8,385

20

6.2.1

Valves and Fittings - Manual - Influent and treated water -
Polypropylene/PVC

1,791

20

6.2.2

Valves and Fittings - Manual - Process - Polypropylene/PVC

1,791

20

6.3.2

Valves and Fittings - Check Valves - Influent and Treated Water -
Polypropylene/PVC

2,611

20

6.3.5

Valves and Fittings - Check Valves - Residuals - Polypropylene/PVC

246

20

11.1.1

Instrumentation and Controls - Flow Meters - Influent and Treated Water -
Propeller

4,796

14

11.3.1

Instrumentation and Controls - Flow Meters - Backwash - Propeller

3,860

14

11.4.1

Instrumentation and Controls - Flow Meters - Residuals - Propeller

2,812

14

11.12

Instrumentation and Controls - Head loss sensors

4,778

14

11.13.1

Instrumentation and Controls - Sampling Ports - Stainless Steel

250

30

12.1.1

System Controls - PLC Units - PLC racks/power supplies

1,020

8

12.1.2

System Controls - PLC Units - CPUs

851

8

12.1.3

System Controls - PLC Units - I/O discrete input modules

430

8

12.1.5

System Controls - PLC Units - I/O combination analog modules

1,879

8

12.1.6

System Controls - PLC Units - Ethernet modules

3,016

8

12.1.9

System Controls - PLC Units - UPSs

986

8

12.2.2

System Controls - Operator Equipment - Operator interface units

10,492

8

13.1.1

Building Structures and HVAC - Building 1 - Small Low Cost Shed

17,160

20

13.3

Building Structures and HVAC - Concrete Pad

1,971

37

Indirect

Indirect and Add-On Costs (contingency from model)

247,902

20



Process Cost

305,996



163


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)



System Cost

553,898





O&M Cost

36,008



Totals are computed before component costs are rounded

Breakdown of indirect and add-on costs



Construction Management

6,630

Process Engineering

61,199

Site Work

5,137

Yard Piping

3,723

Geotechnical

0

Standby Power

0

Electrical (including yard wiring)

28,686

Mobilization and Demobilization

0

Architectural Fees for Treatment Building

0

Permits

2,949

Pilot Study

51,042

Land Cost

1,232

Contingency

50,583

Installation, Transportation, and O&P (0.0%)

0

Miscellaneous Allowance (10.0%)

30,600

Legal, Fiscal, and Administrative (2.0%)

6,120

Sales Tax (0.0%)

0

Financing during Construction (0.0%)

0

Instrumentation and Control (0.0%)

0



Breakdown of O&M costs



Manager (7 hrs/yr @ $52.3563/hr)

385

Clerical (7 hrs/yr @ $34.0099/hr)

250

Operator (73 hrs/yr @ $35.3133/hr)

2,593

Cartridge filter replacement (7 filters/yr @ $207.9779/sf/yr)

1,497

Building and HVAC maintenance (materials and labor) (300 sf @ $6.6975/sf/yr)

2,009

PFAS-selective (66 cf/yr @ $328.9104/cf)

21,667

Energy for backwash/rinse pumps (0 Mwh/yr @$0.1225/kwh)

0

Energy for lighting (0 Mwh/yr @ $0.1225/kwh)

1

Energy for ventilation (0 Mwh/yr @ $0.1225/kwh)

10

POTW discharge fees (848 gal/yr @ $0.5134/gal)

435

Spent resin disposal (1 ton/yr @ $2737.1421/ton)

3,877

Spent cartridge filter disposal (0 ton/yr @ $119.7706/ton)

10

Miscellaneous Allowance (0 @ $)

3,273

164


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Anion Exchange for PFAS(AX_PFAS), design 5.809 mgd, average 2.455 mgd

Groundwater

Mid-Cost Components

Bed Volumes: 160000

Spent Media: incineration (non-hazardous)			

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1

Pressure Vessels - Carbon Steel - Plastic Internals

617,823

35

2.1

Ion Exchange Resin - PFAS-Selective

1,243,192

N/A

3.1.1

Backwash/Rinse Tanks - Fiberglass

36,246

25

4.1

Cartridge Filters - Cartridge Filters

128,792

35

5.1.1

Backwash Piping - CPVC

13,799

22

5.3.1

Process Piping - CPVC

16,663

22

5.5.1

Influent and Treated Water Piping - CPVC

29,770

22

5.7.1

Residuals Piping - CPVC

3,216

22

5.7.2

Residuals Piping - Excavation

1,115

22

5.7.3

Residuals Piping - Bedding

53

22

5.7.4

Residuals Piping - Backfill and Compaction

674

22

5.7.5

Residuals Piping - Thrust Blocks

248

22

6.1.1

Valves and F

ttings - Motor/Air Operated (on/off) - Process - Cast Iron

43,481

25

6.1.2

Valves and F

ttings - Motor/Air Operated (on/off) - Backwash - Cast Iron

128,458

25

6.2.1

Valves and F

ttings - Manual - Influent and treated water - Cast Iron

5,870

25

6.2.2

Valves and F

ttings - Manual - Process - Cast Iron

13,695

25

6.3.1

Valves and F

ttings - Check Valves - Backwash - Cast Iron

7,979

25

6.3.2

Valves and F

ttings - Check Valves - Influent and Treated Water - Cast Iron

29,848

25

6.3.5

Valves and F

ttings - Check Valves - Residuals - Cast Iron

1,066

25

7.2

Pumps - Backwash/Rinse

22,639

20

11.1.1

Instrumentation and Controls - Flow Meters - Influent and Treated Water -
Venturi

4,557

15

11.3.1

Instrumentation and Controls - Flow Meters - Backwash - Venturi

3,077

15

11.4.1

Instrumentation and Controls - Flow Meters - Residuals - Venturi

2,483

15

11.6

Instrumentation and Controls - High/Low Alarm (for backwash tanks)

644

15

11.11

Instrumentation and Controls - Temperature meters

795

15

11.12

Instrumentation and Controls - Head loss sensors

23,889

15

11.13.1

Instrumentation and Controls - Sampling Ports - Carbon Steel

500

25

11.17

Instrumentation and Controls - Turbidity meters

6,184

15

12.1.1

System Controls - PLC Units - PLC racks/power supplies

2,040

10

12.1.2

System Controls - PLC Units - CPUs

851

10

12.1.3

System Controls - PLC Units - I/O discrete input modules

430

10

12.1.4

System Controls - PLC Units - I/O discrete output modules

382

10

12.1.5

System Controls - PLC Units - I/O combination analog modules

4,383

10

12.1.6

System Controls - PLC Units - Ethernet modules

3,016

10

12.1.7

System Controls - PLC Units - Base expansion modules

160

10

12.1.8

System Controls - PLC Units - Base expansion controller modules

309

10

12.1.9

System Controls - PLC Units - UPSs

986

10

12.2.1

System Controls - Operator Equipment - Drive controllers

2,790

15

165


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)

12.2.2

System Controls - Operator Equipment - Operator interface units

3,537

10

12.2.3

System Controls - Operator Equipment - PC Workstations

4,326

10

12.2.4

System Controls - Operator Equipment - Printers - laser jet

391

10

12.3.1

System Controls - Controls Software - Operator interface software

91

10

12.3.2

System Controls - Controls Software - PLC programming software

622

10

12.3.3

System Controls - Controls Software - PLC data collection software

671

10

12.3.4

System Controls - Controls Software - Plant intelligence software

20,681

10

13.1.1

Building Structures and HVAC - Building 1 - Medium Quality

439,853

40

13.1.3.1

Building Structures and HVAC - Building 1 - Heating and Cooling System -
Heat pump

4,970

25

13.3

Building Structures and HVAC - Concrete Pad

37,942

40

Indirect

Indirect and Add-On Costs (contingency from model)

2,165,457

40



Process Cost

2,915,191





System Cost

5,080,648





O&M Cost

518,460



Totals are computed before component costs are rounded

Breakdown of indirect and add-on costs



Construction Management

187,285

Process Engineering

349,823

Site Work

75,691

Yard Piping

36,395

Geotechnical

0

Standby Power

2,640

Electrical (including yard wiring)

243,243

Mobilization and Demobilization

142,587

Architectural Fees for Treatment Building

38,621

Permits

2,942

Pilot Study

166,936

Land Cost

17,072

Contingency

406,639

Installation, Transportation, and O&P (0.0%)

0

Miscellaneous Allowance (10.0%)

291,519

Legal, Fiscal, and Administrative (2.0%)

58,304

Sales Tax (0.0%)

0

Financing during Construction (5.0%)

145,760

Instrumentation and Control (0.0%)

0

166


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of O&M costs



Manager (39 hrs/yr @ $66.7054/hr)

2,572

Clerical (39 hrs/yr @ $43.9163/hr)

1,693

Operator (386 hrs/yr @ $39.756/hr)

15,330

Cartridge filter replacement (96 filters/yr @ $225.0723/sf/yr)

21,607

Building and HVAC maintenance (materials and labor) (4420 sf @ $6.9362/sf/yr)

30,658

PFAS-selective (998 cf/yr @ $328.9104/cf)

328,352

Energy for backwash/rinse pumps (0 Mwh/yr @$0.1225/kwh)

0

Energy for lighting (1 Mwh/yr @ $0.1225/kwh)

125

Energy for ventilation (3 Mwh/yr @ $0.1225/kwh)

399

Heat pump (cooling mode) (15 Mwh/yr @ $0.1225/kwh)

1,874

Heat pump (52 Mwh/yr @ $0.1225/kwh)

6,379

POTW discharge fees (8164 gal/yr @ $0.4228/gal)

3,452

Spent resin disposal (21 ton/yr @ $2737.1421/ton)

58,749

Spent cartridge filter disposal (1 ton/yr @ $119.7706/ton)

138

Miscellaneous Allowance (0 @ $)

47,133

167


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Anion Exchange for PFAS(AX_PFAS), design 56.271 mgd, average 24.863 mgd
Surface Water
High-Cost Components
Bed Volumes: 120000

Spent Media: incineration (non-hazardous)			

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1

Pressure Vessels - Stainless Steel

7,661,480

35

2.1

Ion Exchange Resin - PFAS-Selective

11,733,230

N/A

4.1

Cartridge Filters - Cartridge Filters

884,649

35

5.1.1

Backwash Piping - Stainless Steel

138,044

45

5.3.1

Process Piping - Stainless Steel

166,329

45

5.5.1

Influent and Treated Water Piping - Stainless Steel

419,669

45

5.7.1

Residuals Piping - Stainless Steel

34,728

45

5.7.2

Residuals Piping - Excavation

1,180

45

5.7.3

Residuals Piping - Bedding

57

45

5.7.4

Residuals Piping - Backfill and Compaction

713

45

5.7.5

Residuals Piping - Thrust Blocks

504

45

6.1.1

Valves and Fittings - Motor/Air Operated (on/off) - Process - Stainless Steel

1,272,989

25

6.1.2

Valves and Fittings - Motor/Air Operated (on/off) - Backwash - Stainless
Steel

599,105

25

6.2.1

Valves and Fittings - Manual - Influent and treated water - Cast Iron

37,235

25

6.2.2

Valves and Fittings - Manual - Process - Stainless Steel

79,944

25

6.3.1

Valves and Fittings - Check Valves - Backwash - Stainless Steel

9,520

25

6.3.2

Valves and Fittings - Check Valves - Influent and Treated Water - Stainless
Steel

98,545

25

6.3.5

Valves and Fittings - Check Valves - Residuals - Stainless Steel

1,672

25

7.2

Pumps - Backwash/Rinse

46,124

20

11.1.1

Instrumentation and Controls - Flow Meters - Influent and Treated Water -
Magnetic

25,132

15

11.3.1

Instrumentation and Controls - Flow Meters - Backwash - Magnetic

7,811

15

11.4.1

Instrumentation and Controls - Flow Meters - Residuals - Magnetic

5,493

15

11.11

Instrumentation and Controls - Temperature meters

795

15

11.12

Instrumentation and Controls - Head loss sensors

102,724

15

11.13.1

Instrumentation and Controls - Sampling Ports - Carbon Steel

1,500

25

11.17

Instrumentation and Controls - Turbidity meters

6,184

15

12.1.1

System Controls - PLC Units - PLC racks/power supplies

4,080

10

12.1.2

System Controls - PLC Units - CPUs

851

10

12.1.3

System Controls - PLC Units - I/O discrete input modules

1,290

10

12.1.4

System Controls - PLC Units - I/O discrete output modules

382

10

12.1.5

System Controls - PLC Units - I/O combination analog modules

13,777

10

12.1.6

System Controls - PLC Units - Ethernet modules

3,016

10

12.1.7

System Controls - PLC Units - Base expansion modules

481

10

12.1.8

System Controls - PLC Units - Base expansion controller modules

927

10

12.1.9

System Controls - PLC Units - UPSs

986

10

12.2.1

System Controls - Operator Equipment - Drive controllers

2,790

15

168


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)

12.2.2

System Controls - Operator Equipment - Operator interface units

3,537

10

12.2.3

System Controls - Operator Equipment - PC Workstations

4,326

10

12.2.4

System Controls - Operator Equipment - Printers - laser jet

391

10

12.3.1

System Controls - Controls Software - Operator interface software

91

10

12.3.2

System Controls - Controls Software - PLC programming software

622

10

12.3.3

System Controls - Controls Software - PLC data collection software

671

10

12.3.4

System Controls - Controls Software - Plant intelligence software

20,681

10

13.1.1

Building Structures and HVAC - Building 1 - High Quality

2,217,211

40

13.1.2.1

Building Structures and HVAC - Building 1 - Heating System - Natural gas
condensing furnace

67,071

25

13.1.3.1

Building Structures and HVAC - Building 1 - Cooling System - Air conditioner

26,109

25

13.2.1

Building Structures and HVAC - Building 2 - High Quality

307,005

40

13.2.3.1

Building Structures and HVAC - Building 2 - Heating and Cooling System -
Heat pump

4,103

25

13.3

Building Structures and HVAC - Concrete Pad

195,622

40

Indirect

Indirect and Add-On Costs (contingency from model)

14,498,491

40



Process Cost

26,211,376





System Cost

40,709,867





O&M Cost

4,888,971



Totals are computed before component costs are rounded

Breakdown of indirect and add-on costs



Construction Management

1,104,901

Process Engineering

2,096,910

Site Work

379,994

Yard Piping

488,667

Geotechnical

31,500

Standby Power

15,906

Electrical (including yard wiring)

2,339,426

Mobilization and Demobilization

641,760

Architectural Fees for Treatment Building

174,661

Permits

2,973

Pilot Study

166,936

Land Cost

240,321

Contingency

2,358,603

Installation, Transportation, and O&P (0.0%)

0

Miscellaneous Allowance (10.0%)

2,621,138

Legal, Fiscal, and Administrative (2.0%)

524,228

Sales Tax (0.0%)

0

Financing during Construction (5.0%)

1,310,569

Instrumentation and Control (0.0%)

0

169


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of O&M costs



Manager (195 hrs/yr @ $83.1618/hr)

16,257

Clerical (195 hrs/yr @ $43.9163/hr)

8,585

Operator (1955 hrs/yr @ $48.511/hr)

94,831

Cartridge filter replacement (672 filters/yr @ $234.0797/sf/yr)

157,302

Building and HVAC maintenance (materials and labor) (22190 sf @ $6.9362/sf/yr)

153,914

PFAS-selective (10110 cf/yr @ $328.9104/cf)

3,325,379

Energy for backwash/rinse pumps (0 Mwh/yr @$0.1225/kwh)

4

Energy for lighting (52 Mwh/yr @ $0.1225/kwh)

6,374

Energy for ventilation (26 Mwh/yr @ $0.1225/kwh)

3,198

Air conditioning (73 Mwh/yr @ $0.1225/kwh)

8,934

Heat pump (cooling mode) (73 Mwh/yr @ $0.1225/kwh)

8,934

Heat pump (20 Mwh/yr @ $0.1225/kwh)

2,425

Natural gas condensing furnace (31092 therms/yr @ $0.9468/therm)

29,437

POTW discharge fees (93663 gal/yr @ $0.3524/gal)

33,003

Spent resin disposal (217 ton/yr @ $2737.1421/ton)

594,976

Spent cartridge filter disposal (8 ton/yr @ $119.7706/ton)

966

Miscellaneous Allowance (0 @ $)

444,452

170


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

B.3 Example Outputs for RO/NF

Reverse Osmosis / Nanofiltration(RONF), design 0.500 mgd, average 0.162 mgd
Groundwater

Low-Cost Components	

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1

Membrane Process - Membrane Elements

50,119

N/A

1.2

Membrane Process - RO Pressure Vessels

17,677

17

1.3.1

Membrane Process - Feed Line Connectors - Victaulic, Painted

3,037

20

1.5.1

Membrane Process - Piping On Rack - Feed - Stainless Steel

13,214

40

1.5.2

Membrane Process - Piping On Rack - Permeate - PVC

504

17

1.5.3

Membrane Process - Piping On Rack - Concentrate - Stainless Steel

8,773

40

1.6

Membrane Process - Vessel Support Rack - Steel Beams

15,861

20

1.7

Membrane Process - Markup for Rack Assembly

36,574

23.03638685

2.1.1

Pretreatment Acid Storage Tanks - Plastic (HXLPE)

977

7

2.1.2

Pretreatment Acid Storage Tanks - Secondary Containment - Concrete
Curbing

1,479

37

2.1.3

Pretreatment Acid Storage Tanks - Secondary Containment - Chemical
Resistant Coating

389

10

2.2.1

Pretreatment Acid Day Tanks - Plastic/XLPE

806

7

2.2.2

Pretreatment Acid Day Tanks - Secondary Containment - Concrete Curbing

740

37

2.2.3

Pretreatment Acid Day Tanks - Secondary Containment - Chemical Resistant
Coating

389

10

2.3.1

Pretreatment Antiscalant Tanks - Plastic (XLPE)

814

7

2.3.2

Pretreatment Antiscalant Tanks - Secondary Containment - Concrete Curbing

740

37

2.3.3

Pretreatment Antiscalant Tanks - Secondary Containment - Chemical
Resistant Coating

389

10

2,7,1

Cleaning Solution Makeup Tanks - Plastic (XLPE)

2,167

7

2.8.1

Cleaning Chemical Storage Tanks - Acid - Plastic (XLPE)

794

7

2.8.2

Cleaning Chemical Storage Tanks - Acid - Secondary Containment -
Concrete Curbing

740

37

2.8.3

Cleaning Chemical Storage Tanks - Acid - Secondary Containment -
Chemical Resistant Coating

389

10

2.8.4

Cleaning Chemical Storage Tanks - High pH - Plastic (XLPE)

794

7

2.8.5

Cleaning Chemical Storage Tanks - High pH - Secondary Containment -
Concrete Curbing

740

37

2.8.6

Cleaning Chemical Storage Tanks - High pH - Secondary Containment -
Chemical Resistant Coating

389

10

3.1.1

Influent and Treated Water Piping - PVC

1,293

17

3.2.1

Cleaning System Piping - PVC

420

17

3.3.1

Residuals Piping - PVC

111,214

17

3.3.2

Residuals Piping - Excavation

308,438

17

3.3.3

Residuals Piping - Bedding

14,937

17

3.3.4

Residuals Piping - Backfill and Compaction

186,281

17

3.3.5

Residuals Piping - Thrust Blocks

59,263

17

4.1.1

Motor/Air Operated (on/off) Valves - Pretreatment acid - Polypropylene/PVC

1,891

20

4.1.2

Motor/Air Operated (on/off) Valves - Antiscalant - Polypropylene/PVC

1,891

20

171


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)

4.1.3

Motor/Air Operated (on/off) Valves - Feed line - Polypropylene/PVC

8,587

20

4.1.4

Motor/Air Operated (on/off) Valves - Concentrate control - Cast Iron

5,134

20

4.1.10

Motor/Air Operated (on/off) Valves - Cleaning - Polypropylene/PVC

40,248

20

4.2.1

Manual Valves - Influent and treated water - Polypropylene/PVC

1,791

20

4.3.1

Check Valves - Residuals - Polypropylene/PVC

665

20

4.3.2

Check Valves - Influent - Polypropylene/PVC

1,306

20

4.3.4

Check Valves - Feed pumps - Polypropylene/PVC

2,611

20

4.3.5

Check Valves - Cleaning - Polypropylene/PVC

1,996

20

5.1.1

Acid Metering Pumps for Pretreatment - PVC - Electric

2,510

15

5.2.1

Antiscalant Metering Pumps for Pretreatment - PVC - Electric

2,419

15

5.4

Pumps - Feed Water

57,482

17

5.7

Pumps - Cleaning Pumps (separate for acid and caustic)

1,138

17

6.1

Screens and Filters - Cartridge Filters for Feed

27,306

30

6.2.1

Screens and Filters - Security Screens for Cleaning - Simplex Basket
Screens

7,431

30

6.3

Screens and Filters - Cartridge Filters for Cleaning

16,126

30

8.1

Teflon Immersion Heaters for Cleaning Tanks

4,307

14

9.1.1

Instrumentation - Flow Meters - Influent and Treated Water Line - Propeller

9,592

14

9.2.1

Instrumentation - Flow Meters - Membrane Trains - Feed Line - Propeller

9,592

14

9.3.1

Instrumentation - Flow Meters - Membrane Trains - Permeate Line - Propeller

7,719

14

9.3.1

Instrumentation - Flow Meters - Membrane Trains - Concentrate Line -
Propeller

6,171

14

9.4.1

Instrumentation - Flow Meters - Cleaning - Propeller

14,388

14

9.5.1

Instrumentation - Propeller

3,860

14

9.6

Instrumentation - Level Switches/Alarms (for cleaning tanks)

1,287

14

9.7

Instrumentation - High/Low Alarms (for pretreatment chemical tanks)

1,287

14

9.8

Instrumentation - High/Low Alarms (for cleaning chemical storage tanks)

1,287

14

9.1

Instrumentation - pH meters

12,188

14

9.11

Instrumentation - Temperature meters

2,384

14

9.12

Instrumentation - Conductivity meters

18,244

14

9.13

Instrumentation - Head loss sensors

9,556

14

9.14.1

Instrumentation - Sampling ports - Carbon Steel

900

22

10.1.1

System Controls - PLC Units - PLC racks/power supplies

2,040

8

10.1.2

System Controls - PLC Units - CPUs

851

8

10.1.3

System Controls - PLC Units - I/O discrete input modules

860

8

10.1.4

System Controls - PLC Units - I/O discrete output modules

382

8

10.1.5

System Controls - PLC Units - I/O combination analog modules

5,636

8

10.1.6

System Controls - PLC Units - Ethernet modules

3,016

8

10.1.7

System Controls - PLC Units - Base expansion modules

160

8

10.1.8

System Controls - PLC Units - Base expansion controller modules

309

8

10.1.9

System Controls - PLC Units - UPSs

986

8

10.2.1

System Controls - Operator Equipment - Drive controllers

12,556

14

10.2.2

System Controls - Operator Equipment - Operator interface units

10,492

8

172


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)

11.1.1

Building Structures and HVAC - Building 1 - Low Quality

142,973

37

11.4

Building Structures and HVAC - Concrete Pad

13,797

37

Indirect

Indirect and Add-On Costs (contingency from model)

955,062

37



Process Cost

1,317,693





System Cost

2,272,755





O&M Cost

117,342



Totals are computed before component costs are rounded

Breakdown of indirect and add-on costs



Mobilization and Demobilization

79,800

Construction Management and GC Overhead

87,042

Contingency

181,904

Process Engineering

263,539

Site Work

26,714

Yard Piping

3,725

Geotechnical

0

Standby Power

0

Electrical (including yard wiring)

116,092

Architectural Fees for Treatment Building

0

Pilot Study

1,243

Land Cost

2,559

Permits

34,321

Installation, Transportation, and O&P (0.0%)

0

Instrumentation and Control (0.0%)

0

Miscellaneous Allowance (10.0%)

131,769

Legal, Fiscal, and Administrative (2.0%)

26,354

Sales Tax (0.0%)

0

Financing during Construction (0.0%)

0

173


-------
Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of O&M costs



Manager (124 hrs/yr @ $52.3563/hr)

6,496

Administrative (124 hrs/yr @ $34.0099/hr)

4,220

Operator (1241 hrs/yr @ $35.3133/hr)

43,815

Materials for pretreatment (calculated as a percentage of capital)

322

Cartridge filter replacement (19 filters/yr @ $ 188.4333/fiIter)

3,553

Materials for membrane process (calculated as a percentage of capital)

501

Membrane replacement (10 element/yr @ $668.2566/element)

6,873

Materials for cleaning (calculated as a percentage of capital)

247

Materials for feed water and booster pumps (calculated as a percentage of capital)

575

Building and HVAC maintenance (materials and labor) (1560 sf @ $6.6975/sf/yr)

10,448

Sulfuric Acid - Small Qty (23565 Ibs/yr @ $0.223/lb)

5,256

Antiscalant - Basic (2468 Ibs/yr @ $3.3516/lb)

8,271

Membrane Cleaner - Low pH Sulfate Control (13 gal/yr @ $39.192/gal)

497

Membrane Cleaner - High pH Detergent (13 gal/yr @ $44.8439/gal)

569

Energy for feed water and booster pumps (119 Mwh/yr @ $0.1225/kwh)

14,533

Energy for lighting (1 Mwh/yr @ $0.1225/kwh)

71

Energy for ventilation (3 Mwh/yr @ $0.1225/kwh)

367

Spent cartridge filter disposal (0 ton/yr @ $119.7706/ton)

37

Spent membrane element disposal (0 ton/yr @ $119.7706/ton)

23

Miscellaneous Allowance (0 @ $)

10,667

174


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Reverse Osmosis / Nanofiltration(RONF), design 5.809 mgd, average 2.455 mgd
Groundwater

Mid-Cost Components	

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1

Membrane Process - Membrane Elements

803,996

N/A

1.2

Membrane Process - RO Pressure Vessels

264,211

22

1.3.1

Membrane Process - Feed Line Connectors - Victaulic, Galvanized

52,755

25

1.5.1

Membrane Process - Piping On Rack - Feed - Stainless Steel

242,957

45

1.5.2

Membrane Process - Piping On Rack - Permeate - PVC

10,663

22

1.5.3

Membrane Process - Piping On Rack - Concentrate - Stainless Steel

181,692

45

1.6

Membrane Process - Vessel Support Rack - Steel Beams

66,014

25

1.7

Membrane Process - Markup for Rack Assembly

371,978

30.76375793

2.1.1

Pretreatment Acid Storage Tanks - Fiberglass

15,193

10

2.1.2

Pretreatment Acid Storage Tanks - Secondary Containment - Concrete
Curbing

2,958

40

2.1.3

Pretreatment Acid Storage Tanks - Secondary Containment - Chemical
Resistant Coating

1,167

10

2.2.1

Pretreatment Acid Day Tanks - Fiberglass

3,778

10

2.2.2

Pretreatment Acid Day Tanks - Secondary Containment - Concrete Curbing

740

40

2.2.3

Pretreatment Acid Day Tanks - Secondary Containment - Chemical
Resistant Coating

389

10

2.3.1

Pretreatment Antiscalant Tanks - Fiberglass

5,386

10

2.3.2

Pretreatment Antiscalant Tanks - Secondary Containment - Concrete
Curbing

1,479

40

2.3.3

Pretreatment Antiscalant Tanks - Secondary Containment - Chemical
Resistant Coating

389

10

2.4.1

Pretreatment Antiscalant Day Tanks - Fiberglass

1,369

10

2.4.2

Pretreatment Antiscalant Day Tanks - Secondary Containment - Concrete
Curbing

740

40

2.4.3

Pretreatment Antiscalant Day Tanks - Secondary Containment - Chemical
Resistant Coating

389

10

2,7,1

Cleaning Solution Makeup Tanks - Fiberglass

39,164

10

2.8.1

Cleaning Chemical Storage Tanks - Acid - Fiberglass

2,595

10

2.8.2

Cleaning Chemical Storage Tanks - Acid - Secondary Containment -
Concrete Curbing

740

40

2.8.3

Cleaning Chemical Storage Tanks - Acid - Secondary Containment -
Chemical Resistant Coating

389

10

2.8.4

Cleaning Chemical Storage Tanks - High pH - Fiberglass

2,595

10

2.8.5

Cleaning Chemical Storage Tanks - High pH - Secondary Containment -
Concrete Curbing

2,219

40

2.8.6

Cleaning Chemical Storage Tanks - High pH - Secondary Containment -
Chemical Resistant Coating

389

10

3.1.1

Influent and Treated Water Piping - CPVC

42,422

22

3.2.1

Cleaning System Piping - CPVC

3,531

22

3.3.1

Residuals Piping - CPVC

1,266,369

22

3.3.2

Residuals Piping - Excavation

375,051

22

3.3.3

Residuals Piping - Bedding

19,102

22

3.3.4

Residuals Piping - Backfill and Compaction

226,512

22

175


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)

3.3.5

Residuals Piping - Thrust Blocks

208,364

22

4.1.1

Motor/Air Operated (on/off) Valves - Pretreatment acid - Stainless Steel

990

25

4.1.2

Motor/Air Operated (on/off) Valves - Antiscalant - Stainless Steel

990

25

4.1.3

Motor/Air Operated (on/off) Valves - Feed line - Cast Iron

69,907

25

4.1.4

Motor/Air Operated (on/off) Valves - Concentrate control - Stainless Steel

21,371

25

4.1.10

Motor/Air Operated (on/off) Valves - Cleaning - Stainless Steel

222,326

25

4.2.1

Manual Valves - Influent and treated water - Cast Iron

10,552

25

4.3.1

Check Valves - Residuals - Cast Iron

6,898

25

4.3.2

Check Valves - Influent - Cast Iron

20,013

25

4.3.4

Check Valves - Feed pumps - Cast Iron

27,592

25

4.3.5

Check Valves - Cleaning - Cast Iron

5,532

25

5.1.1

Acid Metering Pumps for Pretreatment - PVC - Electric

3,467

20

5.2.1

Antiscalant Metering Pumps for Pretreatment - Stainless Steel - Electric

4,927

20

5.4

Pumps - Feed Water

532,976

20

5.7

Pumps - Cleaning Pumps (separate for acid and caustic)

6,253

20

6.1

Screens and Filters - Cartridge Filters for Feed

153,356

35

6.2.1

Screens and Filters - Security Screens for Cleaning - Simplex Basket
Screens

38,236

35

6.3

Screens and Filters - Cartridge Filters for Cleaning

93,117

35

8.1

Teflon Immersion Heaters for Cleaning Tanks

30,166

15

9.1.1

Instrumentation - Flow Meters - Influent and Treated Water Line - Venturi

10,244

15

9.2.1

Instrumentation - Flow Meters - Membrane Trains - Feed Line - Venturi

10,590

15

9.3.1

Instrumentation - Flow Meters - Membrane Trains - Permeate Line - Venturi

9,230

15

9.3.1

Instrumentation - Flow Meters - Membrane Trains - Concentrate Line -
Venturi

9,230

15

9.4.1

Instrumentation - Flow Meters - Cleaning - Venturi

76,828

15

9.5.1

Instrumentation - Venturi

3,530

15

9.6

Instrumentation - Level Switches/Alarms (for cleaning tanks)

1,287

15

9.7

Instrumentation - High/Low Alarms (for pretreatment chemical tanks)

1,287

15

9.8

Instrumentation - High/Low Alarms (for cleaning chemical storage tanks)

1,287

15

9.1

Instrumentation - pH meters

12,188

15

9.11

Instrumentation - Temperature meters

2,384

15

9.12

Instrumentation - Conductivity meters

25,085

15

9.13

Instrumentation - Head loss sensors

14,334

15

9.14.1

Instrumentation - Sampling ports - Stainless Steel

8,650

35

10.1.1

System Controls - PLC Units - PLC racks/power supplies

4,080

10

10.1.2

System Controls - PLC Units - CPUs

851

10

10.1.3

System Controls - PLC Units - I/O discrete input modules

3,440

10

10.1.4

System Controls - PLC Units - I/O discrete output modules

382

10

10.1.5

System Controls - PLC Units - I/O combination analog modules

10,019

10

10.1.6

System Controls - PLC Units - Ethernet modules

3,016

10

10.1.7

System Controls - PLC Units - Base expansion modules

481

10

10.1.8

System Controls - PLC Units - Base expansion controller modules

927

10

176


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)

10.1.9

System Controls - PLC Units - UPSs

986

10

10.2.1

System Controls - Operator Equipment - Drive controllers

32,088

15

10.2.2

System Controls - Operator Equipment - Operator interface units

3,537

10

10.2.3

System Controls - Operator Equipment - PC Workstations

4,326

10

10.2.4

System Controls - Operator Equipment - Printers - laser jet

391

10

10.3.1

System Controls - Controls Software - Operator interface software

91

10

10.3.2

System Controls - Controls Software - PLC programming software

622

10

10.3.3

System Controls - Controls Software - PLC data collection software

671

10

10.3.4

System Controls - Controls Software - Plant intelligence software

20,681

10

11.1.1

Building Structures and HVAC - Building 1 - Medium Quality

524,472

40

11.1.2.1

Building Structures and HVAC - Building 1 - Heating System - Natural gas
condensing furnace

64,500

25

11.4

Building Structures and HVAC - Concrete Pad

58,637

40

Indirect

Indirect and Add-On Costs (contingency from model)

3,634,458

40



Process Cost

6,386,707





System Cost

10,021,165





O&M Cost

1,005,211



Totals are computed before component costs are rounded

Breakdown of indirect and add-on costs



Mobilization and Demobilization

248,717

Construction Management and GC Overhead

265,845

Contingency

577,576

Process Engineering

603,798

Site Work

91,959

Yard Piping

15,910

Geotechnical

0

Standby Power

128,125

Electrical (including yard wiring)

447,100

Architectural Fees for Treatment Building

39,246

Pilot Study

72,728

Land Cost

19,439

Permits

38,274

Installation, Transportation, and O&P (0.0%)

0

Instrumentation and Control (0.0%)

0

Miscellaneous Allowance (10.0%)

638,671

Legal, Fiscal, and Administrative (2.0%)

127,734

Sales Tax (0.0%)

0

Financing during Construction (5.0%)

319,335

177


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of O&M costs



Manager (604 hrs/yr @ $66.7054/hr)

40,263

Administrative (604 hrs/yr @ $43.9163/hr)

26,508

Operator (6036 hrs/yr @ $39.756/hr)

239,968

Materials for pretreatment (calculated as a percentage of capital)

1,594

Cartridge filter replacement (96 filters/yr @ $231,2489/filter)

22,200

Materials for membrane process (calculated as a percentage of capital)

8,040

Membrane replacement (165 element/yr @ $626.4905/element)

103,371

Materials for cleaning (calculated as a percentage of capital)

1,376

Materials for feed water and booster pumps (calculated as a percentage of capital)

5,330

Building and HVAC maintenance (materials and labor) (5370 sf @ $6.8511/sf/yr)

36,790

Sulfuric Acid - Small Qty (253899 Ibs/yr @ $0.223/lb)

56,630

Antiscalant - Basic (28052 Ibs/yr @ $3.3516/lb)

94,022

Membrane Cleaner - Low pH Sulfate Control (203 gal/yr @ $39.192/gal)

7,959

Membrane Cleaner - High pH Detergent (203 gal/yr @ $44.8439/gal)

9,107

Energy for feed water and booster pumps (1872 Mwh/yr @ $0.1225/kwh)

229,218

Energy for lighting (10 Mwh/yr @ $0.1225/kwh)

1,191

Energy for ventilation (15 Mwh/yr @ $0.1225/kwh)

1,858

Natural gas condensing furnace (29515 therms/yr @ $0.9468/therm)

27,944

Spent cartridge filter disposal (2 ton/yr @ $119.7706/ton)

197

Spent membrane element disposal (2 ton/yr @ $119.7706/ton)

263

Miscellaneous Allowance (0 @ $)

91,383

178


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Reverse Osmosis / Nanofiltration(RONF), design 56.271 mgd, average 24.863 mgd
Surface Water

High-Cost Components	

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1

Membrane Process - Membrane Elements

6,459,814

N/A

1.2

Membrane Process - RO Pressure Vessels

2,006,152

22

1.3.1

Membrane Process - Feed Line Connectors - Victaulic, Galvanized

370,881

25

1.5.1

Membrane Process - Piping On Rack - Feed - Stainless Steel

1,708,064

45

1.5.2

Membrane Process - Piping On Rack - Permeate - PVC

74,966

22

1.5.3

Membrane Process - Piping On Rack - Concentrate - Stainless Steel

1,277,350

45

1.6

Membrane Process - Vessel Support Rack - Steel Beams

486,047

25

1.7

Membrane Process - Markup for Rack Assembly

2,785,737

30.42915982

2.1.1

Pretreatment Acid Storage Tanks - Fiberglass

68,975

10

2.1.2

Pretreatment Acid Storage Tanks - Secondary Containment - Concrete
Curbing

21,449

40

2.1.3

Pretreatment Acid Storage Tanks - Secondary Containment - Chemical
Resistant Coating

5,059

10

2.2.1

Pretreatment Acid Day Tanks - Fiberglass

16,724

10

2.2.2

Pretreatment Acid Day Tanks - Secondary Containment - Concrete Curbing

3,698

40

2.2.3

Pretreatment Acid Day Tanks - Secondary Containment - Chemical
Resistant Coating

1,557

10

2.3.1

Pretreatment Antiscalant Tanks - Stainless Steel

14,625

35

2.3.2

Pretreatment Antiscalant Tanks - Secondary Containment - Concrete
Curbing

2,958

40

2.3.3

Pretreatment Antiscalant Tanks - Secondary Containment - Chemical
Resistant Coating

1,167

10

2.4.1

Pretreatment Antiscalant Day Tanks - Stainless Steel

2,210

35

2.4.2

Pretreatment Antiscalant Day Tanks - Secondary Containment - Concrete
Curbing

740

40

2.4.3

Pretreatment Antiscalant Day Tanks - Secondary Containment - Chemical
Resistant Coating

389

10

2,7,1

Cleaning Solution Makeup Tanks - Stainless Steel

45,951

35

2.8.1

Cleaning Chemical Storage Tanks - Acid - Fiberglass

4,712

10

2.8.2

Cleaning Chemical Storage Tanks - Acid - Secondary Containment -
Concrete Curbing

1,479

40

2.8.3

Cleaning Chemical Storage Tanks - Acid - Secondary Containment -
Chemical Resistant Coating

389

10

2.8.4

Cleaning Chemical Storage Tanks - High pH - Stainless Steel

2,897

35

2.8.5

Cleaning Chemical Storage Tanks - High pH - Secondary Containment -
Concrete Curbing

4,438

40

2.8.6

Cleaning Chemical Storage Tanks - High pH - Secondary Containment -
Chemical Resistant Coating

778

10

3.1.1

Influent and Treated Water Piping - Stainless Steel

447,647

45

3.2.1

Cleaning System Piping - Stainless Steel

29,245

45

3.3.1

Residuals Piping - Steel

2,945,204

35

3.3.2

Residuals Piping - Excavation

533,347

22

3.3.3

Residuals Piping - Bedding

28,372

22

3.3.4

Residuals Piping - Backfill and Compaction

322,116

22

179


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)

3.3.5

Residuals Piping - Thrust Blocks

721,352

22

4.1.1

Motor/Air Operated (on/off) Valves - Pretreatment acid - Stainless Steel

990

25

4.1.2

Motor/Air Operated (on/off) Valves - Antiscalant - Stainless Steel

990

25

4.1.3

Motor/Air Operated (on/off) Valves - Feed line - Stainless Steel

493,999

25

4.1.4

Motor/Air Operated (on/off) Valves - Concentrate control - Stainless Steel

142,470

25

4.1.5

Motor/Air Operated (on/off) Valves - Stage 2 boost - Stainless Steel

21,371

25

4.1.10

Motor/Air Operated (on/off) Valves - Cleaning - Stainless Steel

658,743

25

4.2.1

Manual Valves - Influent and treated water - Cast Iron

37,235

25

4.3.1

Check Valves - Residuals - Stainless Steel

15,557

25

4.3.2

Check Valves - Influent - Stainless Steel

49,272

25

4.3.4

Check Valves - Feed pumps - Stainless Steel

138,044

25

4.3.5

Check Valves - Cleaning - Stainless Steel

5,015

25

5.1.1

Acid Metering Pumps for Pretreatment - PVC - Motor Driven

14,074

20

5.2.1

Antiscalant Metering Pumps for Pretreatment - PVC - Motor Driven

7,570

20

5.4

Pumps - Feed Water

1,535,722

20

5.5

Pumps - Booster pumps, stage 2

77,650

20

5.7

Pumps - Cleaning Pumps (separate for acid and caustic)

7,007

20

6.1

Screens and Filters - Cartridge Filters for Feed

1,022,414

35

6.2.1

Screens and Filters - Security Screens for Cleaning - Simplex Basket
Screens

42,748

35

6.3

Screens and Filters - Cartridge Filters for Cleaning

100,666

35

8.1

Teflon Immersion Heaters for Cleaning Tanks

33,585

15

9.1.1

Instrumentation - Flow Meters - Influent and Treated Water Line - Magnetic

50,265

15

9.2.1

Instrumentation - Flow Meters - Membrane Trains - Feed Line - Magnetic

156,229

15

9.3.1

Instrumentation - Flow Meters - Membrane Trains - Permeate Line -
Magnetic

132,579

15

9.3.1

Instrumentation - Flow Meters - Membrane Trains - Concentrate Line -
Magnetic

132,579

15

9.4.1

Instrumentation - Flow Meters - Cleaning - Magnetic

427,252

15

9.5.1

Instrumentation - Magnetic

13,094

15

9.6

Instrumentation - Level Switches/Alarms (for cleaning tanks)

1,287

15

9.7

Instrumentation - High/Low Alarms (for pretreatment chemical tanks)

1,287

15

9.8

Instrumentation - High/Low Alarms (for cleaning chemical storage tanks)

1,287

15

9.1

Instrumentation - pH meters

12,188

15

9.11

Instrumentation - Temperature meters

2,384

15

9.12

Instrumentation - Conductivity meters

141,389

15

9.13

Instrumentation - Head loss sensors

90,780

15

9.14.1

Instrumentation - Sampling ports - Stainless Steel

60,000

35

10.1.1

System Controls - PLC Units - PLC racks/power supplies

15,300

10

10.1.2

System Controls - PLC Units - CPUs

851

10

10.1.3

System Controls - PLC Units - I/O discrete input modules

18,919

10

10.1.4

System Controls - PLC Units - I/O discrete output modules

765

10

10.1.5

System Controls - PLC Units - I/O combination analog modules

41,330

10

180


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

WBS#

Item

Total Cost ($)

Useful Life (yrs)

10.1.6

System Controls - PLC Units - Ethernet modules

3,016

10

10.1.7

System Controls - PLC Units - Base expansion modules

2,244

10

10.1.8

System Controls - PLC Units - Base expansion controller modules

4,327

10

10.1.9

System Controls - PLC Units - UPSs

986

10

10.2.1

System Controls - Operator Equipment - Drive controllers

73,943

15

10.2.2

System Controls - Operator Equipment - Operator interface units

3,537

10

10.2.3

System Controls - Operator Equipment - PC Workstations

21,632

10

10.2.4

System Controls - Operator Equipment - Printers - laser jet

782

10

10.3.1

System Controls - Controls Software - Operator interface software

91

10

10.3.2

System Controls - Controls Software - PLC programming software

3,110

10

10.3.3

System Controls - Controls Software - PLC data collection software

3,355

10

10.3.4

System Controls - Controls Software - Plant intelligence software

103,404

10

10.3.5

System Controls - Controls Software - Early warning software

116,745

10

11.1.1

Building Structures and HVAC - Building 1 - High Quality

740,869

40

11.1.2.1

Building Structures and HVAC - Building 1 - Heating System - Natural gas
condensing furnace

148,374

25

11.1.3.1

Building Structures and HVAC - Building 1 - Heating and Cooling System -
Air conditioner

580,415

25

11.2.1

Building Structures and HVAC - Building 2 - High Quality

382,285

40

11.2.3.1

Building Structures and HVAC - Building 2 - Heating and Cooling System -
Heat pump

3,719

25

11.3.1

Building Structures and HVAC - Building 3 - High Quality

1,883,430

40

11.3.3.1

Building Structures and HVAC - Building 3 - Heating and Cooling System -
Heat pump

5,535

25

11.4

Building Structures and HVAC - Concrete Pad

310,925

40

Indirect

Indirect and Add-On Costs (contingency from model)

15,495,113

40



Process Cost

30,494,099





System Cost

45,989,212





O&M Cost

7,976,137



Totals are computed before component costs are rounded

181


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of indirect and add-on costs



Mobilization and Demobilization

620,762

Construction Management and GC Overhead

1,049,501

Contingency

2,283,454

Process Engineering

1,989,857

Site Work

427,600

Yard Piping

102,278

Geotechnical

0

Standby Power

956,084

Electrical (including yard wiring)

2,191,608

Architectural Fees for Treatment Building

183,343

Pilot Study

152,123

Land Cost

295,730

Permits

58,777

Installation, Transportation, and O&P (0.0%)

0

Instrumentation and Control (0.0%)

0

Miscellaneous Allowance (10.0%)

3,049,410

Legal, Fiscal, and Administrative (2.0%)

609,882

Sales Tax (0.0%)

0

Financing during Construction (5.0%)

1,524,705

182


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of O&M costs



Manager (3074 hrs/yr @ $83.1618/hr)

255,674

Administrative (3074 hrs/yr @ $43.9163/hr)

135,017

Operator (30744 hrs/yr @ $48.511/hr)

1,491,431

Materials for pretreatment (calculated as a percentage of capital)

10,400

Cartridge filter replacement (1440 filters/yr @ $235.0601/filter)

338,487

Materials for membrane process (calculated as a percentage of capital)

64,598

Membrane replacement (1856 element/yr @ $626.4905/element)

1,162,766

Materials for cleaning (calculated as a percentage of capital)

1,504

Materials for feed water and booster pumps (calculated as a percentage of capital)

16,134

Building and HVAC maintenance (materials and labor) (24970 sf @ $6.9362/sf/yr)

173,196

Sulfuric Acid - Large Qty (4008879 Ibs/yr @ $0.1567/lb)

628,329

Antiscalant - Basic (201471 Ibs/yr @ $3.3516/lb)

675,261

Membrane Cleaner - Low pH Sulfate Control (2194 gal/yr @ $39.192/gal)

85,970

Membrane Cleaner - High pH Detergent (2194 gal/yr @ $44.8439/gal)

98,368

Energy for feed water and booster pumps (15114 Mwh/yr @ $0.1225/kwh)

1,850,830

Energy for lighting (66 Mwh/yr @ $0.1225/kwh)

8,036

Energy for ventilation (97 Mwh/yr @ $0.1225/kwh)

11,826

Air conditioning (1258 Mwh/yr @ $0.1225/kwh)

154,057

Heat pump (31 Mwh/yr @ $0.1225/kwh)

3,803

Heat pump (96 Mwh/yr @ $0.1225/kwh)

11,720

Natural gas condensing furnace (71125 therms/yr @ $0.9468/therm)

67,339

Spent cartridge filter disposal (17 ton/yr @ $119.7706/ton)

2,070

Spent membrane element disposal (35 ton/yr @ $119.7706/ton)

4,216

Miscellaneous Allowance (0 @ $)

725,103

183


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

B.4 Example Outputs for POU RO

Point of Use/Point of Entry(POU), design 0.500 mgd, average 0.162 mgd (481 households)

Groundwater

Contaminant: PFAS

Treatment Technology: POU Reverse Osmosis	

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1

Installed Treatment Equipment - POU/POE Unit Purchase

112,927

10

1.2

Installed Treatment Equipment - POU/POE Installation

44,933

10

1.3

Installed Treatment Equipment - Scheduling Time

8,400

N/A

2.1.1

Public Education - Technical Labor - Develop materials

353

N/A

2.1.3

Public Education - Technical Labor - Meetings

71

N/A

2.1.4

Public Education - Technical Labor - Post-meeting

71

N/A

2.2.1

Public Education - Clerical Labor - Develop materials

204

N/A

2.2.3

Public Education - Clerical Labor - Meetings

68

N/A

2.2.4

Public Education - Clerical Labor - Post-meeting

68

N/A

2.3.1

Public Education - Printed Material - Meeting flyers

19

N/A

2.3.2

Public Education - Printed Material - Meeting ads

74

N/A

2.3.4

Public Education - Printed Material - Meeting handouts

277

N/A

2.3.5

Public Education - Printed Material - Billing mailers

185

N/A

3.1

Initial Year Monitoring 1 - Sampling time

2,905

N/A

3.3

Initial Year Monitoring 1 - Analysis

102,708

N/A

3.4

Initial Year Monitoring 1 - Analysis (total coliform)

11,128

N/A

3.5

Initial Year Monitoring 1 - Shipping

1,033

N/A

Indirect

Indirect and Add-On Costs (contingency from model)

56,529

10



Process Cost

285,425





System Cost

341,954





O&M Cost

112,626



Totals are computed before component costs are rounded

Breakdown of indirect and add-on costs



Permitting

4,988

Pilot Testing

4,988

Legal

4,988

Engineering

24,939

Contingency

16,626

184


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of O&M costs



POU/POE Maintenance

11,339

Information updates

424

Maintenance Scheduling

10,921

Information updates

408

Sediment Pre-Filter

6,683

Pre-GAC Filter Cartridge

11,425

Post-GAC Filter Cartridge

6,480

RO Membrane

5,602

Billing mailers

277

Sampling time

1,457

Analysis

51,510

Shipping

519

185


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

B.5 Example Outputs for Nontreatment Options

Non-Treatment(NON), design 0.500 mgd, average 0.162 mgd

Groundwater

Low-Cost Components

WBS#

Item

Total Cost ($)

Useful Life (yrs)

2.1.1

Vaults - Booster Pump - Concrete

4,911

37

2.1.2

Vaults - Booster Pump - Excavation

5,789

37

2.1.3

Vaults - Booster Pump - Backfill and Compaction

2,317

37

3.1.1

Piping - Interconnect - PVC

161,565

17

3.1.2

Piping - Interconnect - Excavation

90,543

17

3.1.3

Piping - Interconnect - Backfill and Compaction

54,684

17

3.1.4

Piping - Interconnect - Asphalt Patch

93,519

17

4.1.1

Valves - Isolation and Street - Ductile Iron

22,950

20

4.2.1

Valves - Motor/Air Operated (on/off) - Booster Pump - Polypropylene/PVC

1,791

20

5.1

Pumps - Interconnect Booster Pump

22,852

17

6.1.1

Instrumentation - Flow Meters - Interconnect - Propeller

4,796

14

7.1

System Controls - Remote Telemetry Units (RTUs)

1,215

8

7.3

System Controls - Drive Controllers

1,395

14

Indirect

Indirect and Add-On Costs (contingency from model)

310,723

17



Process Cost

468,328





System Cost

779,051





O&M Cost

211,778



Totals are computed before component costs are rounded

186


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of indirect and add-on costs



Contingency

48,821

Process Engineering

93,387

Construction Management and GC Overhead

37,608

Site Work

0

Yard Piping

0

Geotechnical

0

Standby Power

0

Electrical (including yard wiring)

46,693

Mobilization and Demobilization

28,016

Architectural Fees for Treatment Building

0

Permits

0

Pilot Study

0

Land Cost

0

Installation, Transportation, and O&P (0.0%)

0

Instrumentation and Control (0.0%)

0

Miscellaneous Allowance (10.0%)

46,833

Legal, Fiscal, and Administrative (2.0%)

9,367

Sales Tax (0.0%)

0

Financing during Construction (0.0%)

0



Breakdown of O&M costs



Manager (3 hrs/yr @ $52.3563/hr)

164

Administrative (3 hrs/yr @ $35.3133/hr)

111

Operator (31 hrs/yr @ $34.0099/hr)

1,066

Purchased Water (59130 K gal @ $3.1748K gal)

187,729

Booster pump (calculated as a percentage of capital)

229

Energy for booster pumps (26 Mwh/yr @ $0.1225/kwh)

3,228

Miscellaneous Allowance (0 @ $)

19,253

187


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Non-Treatment(NON), design 0.500 mgd, average 0.162 mgd

Groundwater

Low-Cost Components

Design Type: New Well Construction

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1.1

Well Items - Well Casing - PVC

13,474

27

1.2.1

Well Items - Well screen - PVC Schedule 40

14,356

27

1.3.1

Well Items - Plugs - PVC

312

27

1.4

Well Items - Well Drilling

72,085

27

1.5

Well Items - Gravel Pack

10,244

27

1.6

Well Items - Well Development

770

27

1.7

Well Items - Grout Seal

3,072

27

3.2.1

Piping - Well - PVC

8,078

17

3.2.2

Piping - Well - Excavation

4,527

17

3.2.3

Piping - Well - Backfill and Compaction

2,734

17

4.2.2

Valves - Motor/Air Operated (on/off) - Well Pump - Polypropylene/PVC

1,791

20

5.2

Pumps - Well Pump

16,821

17

6.2.1

Instrumentation - Flow Meters - Well - Propeller

4,796

14

7.1

System Controls - Remote Telemetry Units (RTUs)

1,215

8

7.2

System Controls - Well Pump - Soft Start Control

418

8

7.3

System Controls - Drive Controllers

1,395

14

8.1.1

Building Structures - Building 1 - Small Low Cost Shed

11,440

20

Indirect

Indirect and Add-On Costs (contingency from model)

167,015

27



Process Cost

167,528





System Cost

334,542





O&M Cost

13,630



Totals are computed before component costs are rounded

188


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of indirect and add-on costs



Contingency

20,879

Process Engineering

33,143

Construction Management and GC Overhead

18,963

Site Work

3,425

Yard Piping

0

Geotechnical

22,180

Standby Power

0

Electrical (including yard wiring)

15,427

Mobilization and Demobilization

11,166

Architectural Fees for Treatment Building

0

Permits

0

Pilot Study

0

Land Cost

21,727

Installation, Transportation, and O&P (0.0%)

0

Instrumentation and Control (0.0%)

0

Miscellaneous Allowance (10.0%)

16,753

Legal, Fiscal, and Administrative (2.0%)

3,351

Sales Tax (0.0%)

0

Financing during Construction (0.0%)

0



Breakdown of O&M costs



Manager (4 hrs/yr @ $52.3563/hr)

223

Administrative (4 hrs/yr @ $35.3133/hr)

150

Operator (43 hrs/yr @ $34.0099/hr)

1,448

Building maintenance (materials and labor) (200 sf @ $6.6975/sf/yr)

1,339

Well pump (calculated as a percentage of capital)

168

Energy for well pumps (74 Mwh/yr @ $0.1225/kwh)

9,062

Miscellaneous Allowance (0 @ $)

1,239

189


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Non-Treatment(NON), design 1.000 mgd, average 0.350 mgd

Groundwater

Mid-Cost Components

Design Ty

pe: Interconnection

WBS#

Item

Total Cost ($)

Useful Life (yrs)

2.1.1

Vaults - Booster Pump - Concrete

8,546

40

2.1.2

Vaults - Booster Pump - Excavation

9,050

40

2.1.3

Vaults - Booster Pump - Backfill and Compaction

3,015

40

3.1.1

Piping - Interconnect - PVC

161,565

22

3.1.2

Piping - Interconnect - Excavation

90,543

22

3.1.3

Piping - Interconnect - Backfill and Compaction

54,684

22

3.1.4

Piping - Interconnect - Asphalt Patch

93,519

22

4.1.1

Valves - Isolation and Street - Ductile Iron

22,950

25

4.2.1

Valves - Motor/Air Operated (on/off) - Booster Pump - Cast Iron

14,273

25

5.1

Pumps - Interconnect Booster Pump

75,685

20

6.1.1

Instrumentation - Flow Meters - Interconnect - Venturi

3,077

15

7.1

System Controls - Remote Telemetry Units (RTUs)

1,215

10

7.3

System Controls - Drive Controllers

1,395

15

Indirect

Indirect and Add-On Costs (contingency from model)

361,760

22



Process Cost

539,516





System Cost

901,275





O&M Cost

476,182



Totals are computed before component costs are rounded

Breakdown of indirect and add-on costs



Contingency

49,319

Process Engineering

64,574

Construction Management and GC Overhead

42,998

Site Work

0

Yard Piping

0

Geotechnical

0

Standby Power

32,220

Electrical (including yard wiring)

53,812

Mobilization and Demobilization

27,119

Architectural Fees for Treatment Building

0

Permits

0

Pilot Study

0

Land Cost

0

Installation, Transportation, and O&P (0.0%)

0

Instrumentation and Control (0.0%)

0

Miscellaneous Allowance (10.0%)

53,952

Legal, Fiscal, and Administrative (2.0%)

10,790

Sales Tax (0.0%)

0

Financing during Construction (5.0%)

26,976

190


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of O&M costs



Manager (3 hrs/yr @ $59.8839/hr)

188

Administrative (3 hrs/yr @ $37.6596/hr)

118

Operator (31 hrs/yr @ $34.0099/hr)

1,066

Purchased Water (127750 K gal @ $3.1748K gal)

405,587

Booster pump (calculated as a percentage of capital)

757

Energy for booster pumps (206 Mwh/yr @ $0.1225/kwh)

25,178

Miscellaneous Allowance (0 @ $)

43,289

191


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Non-Treatment(NON), design 1.000 mgd, average 0.350 mgd

Groundwater

Mid-Cost Components

Design Ty

pe: New Well Construction

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1.1

Well Items - Well Casing - Stainless Steel

377,507

30

1.2.1

Well Items - Well screen - PVC Schedule 80

33,038

30

1.3.1

Well Items - Plugs - PVC

623

30

1.4

Well Items - Well Drilling

144,169

30

1.5

Well Items - Gravel Pack

20,489

30

1.6

Well Items - Well Development

1,540

30

1.7

Well Items - Grout Seal

6,143

30

3.2.1

Piping - Well - PVC

16,156

22

3.2.2

Piping - Well - Excavation

9,054

22

3.2.3

Piping - Well - Backfill and Compaction

5,468

22

4.2.2

Valves - Motor/Air Operated (on/off) - Well Pump - Cast Iron

28,546

25

5.2

Pumps - Well Pump

33,641

20

6.2.1

Instrumentation - Flow Meters - Well - Venturi

3,077

15

7.1

System Controls - Remote Telemetry Units (RTUs)

2,430

10

7.2

System Controls - Well Pump - Soft Start Control

835

10

7.3

System Controls - Drive Controllers

2,790

15

8.1.1

Building Structures - Building 1 - Small Low Cost Shed

22,880

25

Indirect

Indirect and Add-On Costs (contingency from model)

552,043

30



Process Cost

708,388





System Cost

1,260,431





O&M Cost

28,953



Totals are computed before component costs are rounded

192


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of indirect and add-on costs



Contingency

68,865

Process Engineering

84,572

Construction Management and GC Overhead

55,230

Site Work

6,850

Yard Piping

0

Geotechnical

44,360

Standby Power

27,563

Electrical (including yard wiring)

68,188

Mobilization and Demobilization

36,888

Architectural Fees for Treatment Building

2,059

Permits

0

Pilot Study

0

Land Cost

37,043

Installation, Transportation, and O&P (0.0%)

0

Instrumentation and Control (0.0%)

0

Miscellaneous Allowance (10.0%)

70,839

Legal, Fiscal, and Administrative (2.0%)

14,168

Sales Tax (0.0%)

0

Financing during Construction (5.0%)

35,419



Breakdown of O&M costs



Manager (9 hrs/yr @ $59.8839/hr)

510

Administrative (9 hrs/yr @ $37.6596/hr)

321

Operator (85 hrs/yr @ $34.0099/hr)

2,897

Building maintenance (materials and labor) (400 sf @ $6.6975/sf/yr)

2,679

Well pump (calculated as a percentage of capital)

336

Energy for well pumps (160 Mwh/yr @ $0.1225/kwh)

19,578

Miscellaneous Allowance (0 @ $)

2,632

193


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Non-Treatment(NON), design 3.536 mgd, average 1.345 mgd
Surface Water
High-Cost Components

WBS#

Item

Total Cost ($)

Useful Life (yrs)

2.1.1

Vaults - Booster Pump - Concrete

10,277

40

2.1.2

Vaults - Booster Pump - Excavation

10,579

40

2.1.3

Vaults - Booster Pump - Backfill and Compaction

3,296

40

3.1.1

Piping - Interconnect - Ductile Iron

1,442,458

40

3.1.2

Piping - Interconnect - Excavation

102,616

40

3.1.3

Piping - Interconnect - Backfill and Compaction

61,975

40

3.1.4

Piping - Interconnect - Asphalt Patch

105,988

40

4.1.1

Valves - Isolation and Street - Ductile Iron

61,530

25

4.2.1

Valves - Motor/Air Operated (on/off) - Booster Pump - Stainless Steel

56,849

25

5.1

Pumps - Interconnect Booster Pump

106,073

20

6.1.1

Instrumentation - Flow Meters - Interconnect - Magnetic

9,045

15

7.1

System Controls - Remote Telemetry Units (RTUs)

1,215

10

7.3

System Controls - Drive Controllers

2,790

15

Indirect

Indirect and Add-On Costs (contingency from model)

1,235,017

40



Process Cost

1,974,692





System Cost

3,209,708





O&M Cost

1,799,495



Totals are computed before component costs are rounded

Breakdown of indirect and add-on costs



Contingency

175,779

Process Engineering

236,628

Construction Management and GC Overhead

128,519

Site Work

0

Yard Piping

0

Geotechnical

0

Standby Power

63,993

Electrical (including yard wiring)

197,190

Mobilization and Demobilization

97,211

Architectural Fees for Treatment Building

0

Permits

0

Pilot Study

0

Land Cost

0

Installation, Transportation, and O&P (0.0%)

0

Instrumentation and Control (0.0%)

0

Miscellaneous Allowance (10.0%)

197,469

Legal, Fiscal, and Administrative (2.0%)

39,494

Sales Tax (0.0%)

0

Financing during Construction (5.0%)

98,735

194


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of O&M costs



Manager (6 hrs/yr @ $66.7054/hr)

412

Administrative (6 hrs/yr @ $39.756/hr)

245

Operator (62 hrs/yr @ $43.9163/hr)

2,712

Purchased Water (490925 K gal @ $3.1748K gal)

1,558,612

Booster pump (calculated as a percentage of capital)

1,061

Energy for booster pumps (595 Mwh/yr @ $0.1225/kwh)

72,863

Miscellaneous Allowance (0 @ $)

163,590

195


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Non-Treatment(NON), design 3.536 mgd, average 1.417 mgd

Groundwater

High-Cost Components

WBS#

Item

Total Cost ($)

Useful Life (yrs)

1.1.1

Well Items - Well Casing - Stainless Steel

943,768

30

1.2.1

Well Items - Well screen - Stainless Steel

216,209

30

1.3.1

Well Items - Plugs - PVC

1,558

30

1.4

Well Items - Well Drilling

360,423

30

1.5

Well Items - Gravel Pack

51,222

30

1.6

Well Items - Well Development

3,850

30

1.7

Well Items - Grout Seal

15,358

30

3.2.1

Piping - Well - Ductile Iron

223,135

40

3.2.2

Piping - Well - Excavation

22,636

40

3.2.3

Piping - Well - Backfill and Compaction

13,671

40

4.2.2

Valves - Motor/Air Operated (on/off) - Well Pump - Stainless Steel

71,235

25

5.2

Pumps - Well Pump

112,124

20

6.2.1

Instrumentation - Flow Meters - Well - Magnetic

6,629

15

7.1

System Controls - Remote Telemetry Units (RTUs)

6,075

10

7.2

System Controls - Well Pump - Soft Start Control

2,088

10

7.3

System Controls - Drive Controllers

6,976

15

8.1.1

Building Structures - Building 1 - Low Quality

95,613

40

Indirect

Indirect and Add-On Costs (contingency from model)

1,576,160

30



Process Cost

2,152,569





System Cost

3,728,729





O&M Cost

108,570



Totals are computed before component costs are rounded

196


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Technologies and Cost for Removing Per- and Polyfluoroalkyl Substances (PFAS) from Drinking Water
March 2024

Breakdown of indirect and add-on costs



Contingency

203,829

Process Engineering

257,221

Construction Management and GC Overhead

139,398

Site Work

17,125

Yard Piping

0

Geotechnical

110,900

Standby Power

65,959

Electrical (including yard wiring)

204,789

Mobilization and Demobilization

110,265

Architectural Fees for Treatment Building

8,605

Permits

1,449

Pilot Study

0

Land Cost

90,684

Installation, Transportation, and O&P (0.0%)

0

Instrumentation and Control (0.0%)

0

Miscellaneous Allowance (10.0%)

215,257

Legal, Fiscal, and Administrative (2.0%)

43,051

Sales Tax (0.0%)

0

Financing during Construction (5.0%)

107,628



Breakdown of O&M costs



Manager (21 hrs/yr @ $66.7054/hr)

1,420

Administrative (21 hrs/yr @ $39.756/hr)

846

Operator (213 hrs/yr @ $43.9163/hr)

9,351

Building maintenance (materials and labor) (1000 sf @ $6.6975/sf/yr)

6,697

Well pump (calculated as a percentage of capital)

1,121

Energy for well pumps (647 Mwh/yr @ $0.1225/kwh)

79,264

Miscellaneous Allowance (0 @ $)

9,870

197


-------