United States
Environmental Protection
ImI	Agency

^vSmartWay

U.S. Environmental protection agency

2024 SmartWay Barge
Carrier Partner Tool:

Technical
Documentation

U.S. Version 1.0
(Data Year 2023)

EPA-42-B-24-0121 February 2024 I SmartWay Transport Partnership I epa.gov/smartway


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* mAgency	U.S. Environmental Protection Agency^

2024 SmartWay Barge
Carrier Partner Tool:

Technical
Documentation

U.S. Version 1.0
(Data Year 2023)

Transportation and Climate Division
Office of Transportation and Air Quality
U.S. Environmental Protection Agency

EPA-420-B-24-012
February 2024


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Table of Contents

1.0 EMISSION FACTORS AND ASSOCIATED ACTIVITY INPUTS	5

1.1	AvaiLabLe Emission Factors	5

1.2	Activity Data Inputs	7

2.0	EMISSION ESTIMATION	9

2.1	C02 Calculation	9

2.2	NOx, PMio and BLack Carbon CaLcuLations	9

2.3	Retrofit Effectiveness	10

3.0	PERFORMANCE METRICS	12

3.1	Grams per Barge-MiLe	12

3.2	Grams per Loaded Barge-MiLe	12

3.3	Grams per Ton-MiLe	12

3.4	FLeet Average CaLcuLations	13

3.5	PubLic DiscLosure Reports	13

4.0 DATA VALIDATION	14

5.0 FUTURE ENHANCEMENTS	16

REFERENCES	17

APPENDIX A: MARINE ENGINE EMISSION FACTORS (G/KWHR)	A-l

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List of Tables

Table 1. C02 Factors by Fuel Type*	5

Table 2. Marine Vessel Engine Load Factors (%)	10

Table 3. Diesel Propulsion Engine Retrofit Reduction Factors	11

Table 4. Barge Capacity by Type/Length Combination (1,000 cubic feet)	14

Table 5. Articulated/Integrate Barge Capacity by Volume Category (barrels)	15

Table A-i. Auxiliary Engine Emission Factors (g/kWhr)	A-i

Table A-2. Propulsion Engine Emission Factors (g/kWhr)	A-6

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Emission Factors and Associated Activity
Inputs

Emission factors form the basis for the emission calculations in the Barge Tool. The Tool uses the latest and
most comprehensive emission factors available for marine propulsion and auxiliary engines. The following
discusses the data sources used to compile the emission factors used in the Tool, and the fleet characteristic
and activity data inputs needed to generate fleet performance metrics.

l.l AVAILABLE EMISSION FACTORS

Propulsion Engines

C02 emissions are calculated using fuel-based factors, expressed in grams per gallon of fuel. Available fuel
options include marine distillate (diesel - both low and ultra-low sulfur), biodiesel, and liquefied natural gas
(LNG). The Barge Tool uses the same gram/gallon fuel factors for C02 that are used in the other carrier tools
(Truck, Rail, and Multi-modal), as shown in Table l. These factors are combined directly with the annual fuel
consumption values input into the Tool to estimate mass emissions for propulsion and auxiliary engines. (The
fuel consumption inputs are summed across both engine types). The factors for biodiesel are a weighted
average of the diesel and Bioo factors shown in the table, weighted by the biodiesel blend percentage.

Table l. COz Factors by Fuel Type*



g/gai

Source1

Diesel

10,180

(i)

Biodiesel (Bioo)

9,460

(ii)

LNG

4.394

(iii)

* 100% combustion (oxidation) assumed

The Barge Tool uses emission factors expressed in g/kW-hr to estimate NOx, PM and black carbon
emissions. For marine distillate fuel, the Tool uses emission factors presented in EPA's 2020 Port Emissions
Inventory Guidance. The emission factors for main propulsion engines using ultra-low (15 ppm) sulfur
distillate fuel are a function of year of manufacture (or rebuild) and rated engine power (in kW). These
factors, presented in Appendix A, are combined with estimated engine activity in kW-hrs to estimate mass
emissions, as described in Section 2. The PM10 factors are multiplied by 0.97 to obtain PM25 estimates,
consistent with the conversion factors in the Port Emissions Inventory Guidance.

1 i) Fuel economy calculations in 40 C.F.R 600.113 available at https://www.aovinfo.aov/content/pka/CFR-2004-title40-vol28/pdf/CFR-2004-title40-
vol28-sec600-113-Q3.pdf. Accessed 1-16-24.
ii) Tables IV.A.3-2 and 3-3 in A Comprehensive Analysis of Biodiesel Impacts on Exhaust Emissions, available at
https://nepis.epa.aov/Exe/ZvPDF.cai9Dockev-PiooiZAo.pdf. Accessed 1-16-24.

iii) Assuming 21,240 Btu/lb. lower heating value (http://www.afdc.enerav.aov/afdc/fuels/properties.html - Accessed 1-16-24.), 3.518 lbs/gal and 0.059
g/Btu.

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NOx and PM emission factors for biodiesel were based on the findings from an EPA study, A Comprehensive
Analysis of BiodieseL Impacts on Exhaust Emissions (EPA420-P-02-001, October 2002). This study developed
regression equations to predict the percentage change in NOx and PM emission rates relative to conventional
diesel fuel, as a function of biodiesel blend percentage, expressed in the following form:

Equation 1

% change in emissions = (exp[a x (vol% biodiesel)] -1} x 100%

Where:

a = 0.0009794 for NOx, and
a = -0.006384 for PM and Black Carbon2

For example, the NOx reduction associated with B20 is calculated as follows

[Expto.0009747 x 20)-l] x 100 = 1.9%

To obtain the final NOx emissions the unadjusted NOx is multiplied by (1-0.019) = 0.981,

Using Equation 1, adjustment factors were developed for biodiesel blends based on the percentage of the
biofuel component, and then these adjustment factors were applied to the appropriate conventional diesel
emission factors in Appendix A. Ultra-low sulfur diesel fuel (15 ppm sulfur) is assumed as the basis for
adjustments.

Emission factors were also developed for LNG derived from a variety of data sources including EPA, U.S.
Department of Transportation (DOT), Swedish EPA, and the California Energy Commission. The following
emission factors were assumed, corresponding to slow-speed engines operating on natural gas.

5.084 g NOx/kW-hr
% 0.075 g PM10/kW-hr

For LNG, NOx and PM emission factors are assumed to be independent of model year and engine size. In
addition, as LNG PM emissions are primarily the result of lube oil combustion, the Barge Tool assumes PM25
emissions equal 97% of PM10 emissions, consistent with the conversion used for diesel fuel.

Black carbon emission factors for LNG engines are based on emission rates for heavy-duty onroad trucks.
The MOVES3 model was run for the 2021 calendar year at the national level to estimate the ratio of black
carbon to PM25 grams per mile rates for class 8b LNG trucks. Ratios vary by engine model year group:

% Pre-2002: BC = 0.082 x PM25

2 The study's biodiesel emissions testing did not characterize black carbon. Black carbon reductions are assumed to scale one to one with PM reductions.

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2002+: BC = 0.035 X PM25
Auxiliary Engines

NOx, PM, and black carbon emissions associated with diesel auxiliary engine operation depend on kW and
engine model year (see Table A-i in Appendix A).3 Alternative fuels and retrofits are not allowed for auxiliary
engines at this time.

APU emissions are calculated by multiplying the appropriate factors by the kW-hr inputs from the tool, and
the default engine load factors for harbor craft APUs.4

The Barge Tool requires Partners to input vessel and barge characterization and activity data. The input data
required to calculate emissions and associated performance metrics include:

Total number of barges and tugs
^ Vessel-specific information -

¦	Propulsion engine model/rebuild year

¦	EPA Engine Class (1 or 2)

¦	Fuel type (diesel - 15 or 500 ppm, biodiesel, and LNG)

¦	Retrofit information (technology and/or % NOx and/or PM reduction, if applicable)

¦	Annual fuel use (gallons or tons) - Total for propulsion and auxiliary engines

¦	Vessel towing capacity (tons)6 - optional input

¦	Propulsion engine operation
o # engines (1, 2 or 3)

o Total rated power (HP or kW - sum if two engines)
o Hours of operation per year (underway and maneuvering)6

¦	Auxiliary engine operation (for each engine)7
o Engine age

3	See https://nepis.epa.aov/Exe/ZvPDF.cai9Dockev-PioiQ2Uo.pdf. Accessed 1-16-24.

4	Load factor - 0.43 for auxiliary engines. From U.S. EPA 2020, Port Emissions Inventory Guidance, Table 4.4.

5	Used to establish upper bound validation limit for total payload ton-mile entries. Not expressed in Bollard Pull since that unit does not uniquely
correspond to payload.

6	Hours of operation estimates are for engines used for propulsion, not auxiliary engines. Underway operations are defined as when the power unit is towing
a barge configuration, e.g., a 15 barge collection, whereas Maneuvering is defined as movement around ports for fueling or maintenance or moving
individual barges into place to hook up for a haul. Users should provide their best estimate for allocating hours between the two, but this will not currently
impact your emission estimates. However, it is important for the sum of these two estimates to equal your total hours of propulsion engine operation.

7	Note - the Barge Tool assumes all auxiliary engines are diesel powered.

1.2 ACTIVITY DATA INPUTS

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o Rated power (HP or kW)
o Hours of operation per year

Barge operation information

¦	Barge type (hopper, covered cargo, tank, deck, container, other)

¦	Barge size, by type (150,175,195-200 and 250-300 feet in Length)

¦	For each type/size combination:
o Number

o Average cargo volume utilization (%) - for each size/type combination
o Average annual loaded miles per barge (nautical)
o Average annual empty miles per barge (nautical)
o Average loaded payload per barge (short tons)

Total annual fleet activity (used for validation - must match totals calculated from barge operation

information to within 5%)

¦	Ton-miles

¦	Loaded barge-miles

¦	Unloaded barge-miles

Vessel and barge characterization and activity data are needed for three reasons:

1.	To convert the hours of engine operation to kilowatt-hours, it is necessary to know the kilowatt or
horsepower rating of the vessel's propulsion and auxiliary engines. Given hours of operation, the Tool
can then calculate kilowatt-hours — which is compatible with the available emission factors for both
engine types.

2.	To classify which regulations the vessel is subject to. EPA engine class is required to identify the
correct NOx and PM emission factors for propulsion engines. Rated power is used to determine the
appropriate emission category for auxiliary engines.

3.	To combine mass emission estimates with barge-mile and ton-mile activity to develop fleet and
company-level performance metrics. (Note, total emissions are also calculated and reported at the
vessel-specific level.)

The following section describes how the activity data inputs and the emission factors are combined to
generate mass emission estimates and associated performance metrics.

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Emission Estimation

The following sections discuss how emissions are calculated, beginning with selection of emission factors.

2.1	C02 CALCULATION

Annual vessel-specific fuel consumption values may be input in the Barge Tool in gallons or tons. Entries in
tons are converted to gallons using the following factors:

Diesel - 284 gallons/ton8
Biodiesel (B100) - 274 gallons/ton9
^ LNG - 573 gallons/ton10

Once all fuel consumption values have been converted to gallons, C02 mass emission estimates are
calculated for each vessel using the factors shown in Table 1, converted to short tons (1.1023 x io~6 short
tons/gram), and summed across vessels to obtain tons of C02 per year for the entire vessel fleet.

2.2	NOx, PM10 AND BLACK CARBON CALCULATIONS

NOx, PM10 and black carbon are calculated based on kW-hr activity estimates. This approach allows emission
calculations to account for the size of the vessel's propulsion and auxiliary engines and the amount of time a
vessel operates. Equation 2 presents the general equation for calculating NOx, PM10 and black carbon
emissions for each engine using diesel fuel.11 The equation is used for each unique combination of engine
type (propulsion or auxiliary), vessel type (linehaul, locking, canal, etc.), engine power rating group, and
engine model year.

Equation 2

EMP = Pw x 0.7457 x Hr x LF/100 x EF/ 1,102,300

Where:

EMP = Marine vessel emissions for pollutant (p) (tons/year)

Pw = Sum of the power ratings for each of the vessel's engines (hp or kW)12

a

8	Iowa State Extension Outreach Ag Decision Maker. Last accessed 2-14-20.

9	Converted from 7.3 Lbs/gallon. See https://www.nreL.gov/docs/fy170sti/66521.pdf, Table 2, Accessed 1-16-24.

10	Midwest Energy Solutions. Energy Volume & Weight. Last accessed 1-31-21.

11	Note: the PM emission factors used in the Barge Tool estimate direct or "primary" PM produced as a result of incomplete combustion. Estimates do not
include indirect PM emissions associated with sulfur gas compounds aerosolizing in the atmosphere.

12	This approach assumes that multiple propulsion engines entered in a single row of the Tool are of the same type, power, and age, and operate in tandem.

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0.7457 = Conversion factor from horsepower to kilowatts, if needed (kW/hp - Perry's Chemical
Engineer's Handbook)

Hre	= Total annual hours of operation for each engine (hr)

LF	= Load factor - see Table 3 (percentage)

EF	= Emission factor for pollutant p (grams/kW-hr) - see Appendix A

1,102,300 = Conversion factor from grams to short tons
If the vessel's power is provided in terms of kilowatts, then the conversion from horsepower to kilowatts is
not needed.

The load factors used in the above equation are provided in EPA's Port Emissions Inventory Guidance (Table
4.4) and are shown in Table 3 below.

Table 2. Marine Vessel Engine Load Factors (%

Engine Type

Vessel Type13

Load Factor

Propulsion

Linehaul (towboat)

68%

Propulsion

Locking (tugboat)

50%

Propulsion

Canal (tugboat)

50%

Propulsion

Harbor (tugboat)

50%

Propulsion

Coastwise (towboat)

68%

Propulsion

Articulated barge (towboat)

68%

Propulsion

Other (Miscellaneous C1/C2)

52%

Auxiliary

All types

43%

If biodiesel is used, NOx and PM emissions are calculated assuming ultra-low sulfur diesel fuel as the basis,
with the emission factors adjusted according to the fuel blend percentage as described in Section 1.1.

If LNG is used, NOx and PM emissions are calculated by simply multiplying the g/kW-hr factors presented in
Section 1.1 by the effective kW-hrs of operation (hours of use x load factor), summed across operation type
(underway and maneuvering).

2.3 RETROFIT EFFECTIVENESS

The Barge Tool allows the user to select from a variety of propulsion engine retrofit options. Options were
only identified for diesel marine engines and were based on emission adjustment factors developed for
EPA's MARKAL model.14 The reduction factors assumed for each of these control options are presented in

13	The vessel categories incLuded in the Barge Tool are associated with specific ship types presented in EPA's Port Emissions Inventory Guidance to assign
default Load factors. EPA ship category assignments are shown in parentheses.

14	Eastern Research Group, "MARKAL Marine Methodology", prepared for Dr. Cynthia Gage, US EPA, December 30, 2010.

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Table 4. The Barge Tool only allows the user to specify one retrofit for a given propulsion engine -
combinations are not permitted at this time.

Table 3. Diesel Propulsion Engine Retrofit Reduction Factors



Reduction Factor

Control





NOx PM

Fuel Injection Engine Improvements

0.12

0.12

Selective Catalytic Reduction (SCR)

0.8

0

Common rail

0.1

0.1

Diesel Electric

0.2

0.2

Humid Air Motor (HAM)

0.7

0

Hybrid Engines

0.35

0.35

Diesel Oxidation Catalyst

0

0.2

Lean NOx Catalyst

0.35

0

Barge Tool users may also specify details and assumed emission reductions for other control measures not
listed in the table above, although detailed text descriptions should be provided justifying the use of any
alternative factors.

If retrofit Information has been entered for a vessel, the NOx and PM emissions calculated above are adjusted
by the factors shown in Table 4.16 For example, a 20% reduction in PM emissions associated with a diesel
oxidation catalyst would require an adjustment factor of 1 - 0.2 (0.8) to be applied to the calculated PM
values.

Finally, NOx and PM emissions are summed across all vessels and source types (propulsion and auxiliary) to
obtain fleet and company-level mass emission estimates.

15 The Barge T00L assumes that retrofits are only applied to main propulsion engines, not auxiliary engines.

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^ Performance Metrics

The Barge Tool is designed to apply the calculated emissions to a variety of operational parameters. This
provides performance metrics that are used as a reference point to evaluate a Partner's environmental
performance relative to other SmartWay Partners across different transportation modes. In this way the
metrics presented here are made comparable to the metrics used in the other carrier tools.

For these comparisons to be most precise, it may be necessary to group the data into comparable operating
characteristic bins to ensure that similar operations are being compared. For example, open-water barge
operations may need to be considered separately from river barge operations because these vessels and
their activities are very different. For this reason, the Barge Tool collects a variety of vessel and barge
characteristic information that may be used to differentiate barge operations in the future.

The following summarizes how the Barge Tool performance metrics are calculated for a given pollutant.
Note: all distances are reported in nautical miles.16

3-1 GRAMS PER BARGE-MILE

Equation 3

grams / (loaded + unloaded barge-miles - from Total Fleet Activity entry)

3 2 GRAMS PER LOADED BARGE-MILE

Equation 4

grams / (loaded barge-miles - from Total Fleet Activity entry)

3 3 GRAMS PER TON-MILE

Equation 5

grams / (total ton-miles - from Total Fleet Activity entry)

161 nautical miLe -1.15 statute miles.

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3-4 FLEET AVERAGE CALCULATIONS

The Barge Tool calculates fleet-level average payloads for use in the SmartWay Carrier Data File. In order to
calculate average payload the Tool first calculates total ton-miles for each row on the Barge Operations
screen as follows:

Row-Level ton-miles = Average Payload Value * Avg Loaded Miles * Number of Barges

Next, the Tool sums the row-level ton-miles as well as the total barge miles (Avg Loaded Miles * Number of
Barges) across all rows. The tool then divides the summed ton-miles by the summed total miles to obtain
the fleet average payload.

3 5 PUBLIC DISCLOSURE REPORTS

The Barge Tool provides a report summarizing Scope 1 emissions for public disclosure purposes. Mass
emissions are presented in metric tonnes for C02 (biogenic and non-biogenic), NOx, and PM17 for all fleets.
Biogenic C02 emissions estimates are assumed to equal 2 percent of total C02 emissions, as per U.S.
requirements for biomass-based diesel from the EPA Renewable Fuel Standard program final volume
requirements.18

C02 equivalent (C02e) emissions are also provided in the tool's Public Disclosure report and are calculated by
multiplying C02 values by a scaling factor of 1.1056. The scaling factor was based on data from Table 2-13 in
the most recent EPA Emissions and Sinks Report. The factor was derived by dividing the Ships and Boats
emissions for each greenhouse gas excluding C02 (CH4, N20, and HFCs) by the total emissions including C02,
and then summing the ratios to obtain the total scaling factor.

17 Emissions from CH4, N20, HFC's, PFC's, SF6 and NF3 have been deemed immaterial comprising Less than 5% of overall GHG emissions and are therefore
excluded for reporting purposes.

IS As stated in the Final Rule (Table I.B.7-1 - see https://www.aovinfo.aov/content/pka/FR-2020-02-06/pdf/2020-0Q4':ii.bdf, Accessed
https://www.nrel.gov/docs/fy170sti/66521.pdf), the volume requirements for biomass-based diesel in 2020 is 2.10%, rounded to equal 2% for calculation
purposes. The percentage will be updated annually in the Tool.

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Data Validation

The Barge Tool employs Limited validation to ensure the consistency of Partner data inputs. Cross-validation
of barge and ton-mile inputs are conducted on the Barge Operations screen. These checks ensure that the
values entered in the Fleet Totals section of the screen for total ton-miles, loaded and unloaded barge-miles
are consistent with the data entered at the row level for the different barge type/size combinations. These
three values must be within 5% of the totals calculated as follows:

Equation 6

Total Ton-miles = [£b (number of barges x Annual Loaded Miles per Barge x Average Loaded

Payload per Barge)]

Equation 7

Loaded Barge-Miles = [£b (number of barges x Annual Loaded Miles per Barge)]

Equation 8

Unloaded Barge-Miles = [£b (number of barges x Annual Empty Miles per Barge)]

The Barge Tool also conducts a validation check to confirm product densities are within a reasonable range,
with payloads flagged if the calculated cargo density is greater than 0.6 tons per cubic foot or less than 0.003
tons per cubic foot.19

Barge volumes were estimated for each barge type/size combination using standardized assumptions
regarding depth and width. Volumes are summarized below in Table 5 and Table 6.

Table 4. Barge Capacity by Type/Length Combination (1,000 cubic feet)



Barge Volume (1,000 cubic feet)

Barge Type*

250-300'

195-200'

175'

150'

Hopper Barge

182

90

81

69

Covered cargo barge20

165

82

74

63

Tank Barges

160

56

48

41

Deck Barges

182

90

81

69

Container Barges

218

82

65

49

* "Other" barge types require volumes input by the user

19	High end approximately equal to that of gold, low end to density of potato chips. See http://www.aaua-calc.com/paae/densitv-
table/substance/Snacks-coma-and-blank-potato-blank-chiPS-coma-and-blank-white-coma-and-blank-restructured-coma-and-blank-baked. Accessed
1-16-24.

20	Assumed maximum volume for covered cargo barge for 250-300 was 265 ft long 52 ft wide and 12 feet deep -165,360; 195-200 was 195 long 35 ft wide
and 12 ft deep; 175 and 150 had the same width and depth of the 195 ft barge.

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Volumes for articulated/integrated barges were derived from a Listing of 134 bluewater units protected by
US cabotage Law, 114 of which included volume estimates.21 Four barge size groupings were defined as
shown in Table 5.

Table 5. Articulated/Integrate Barge Capacity
by Volume Category (barrels)

Size Category

Average Volume

< 100,000

373,591

100,000 < 150,000

683,827

150,000 < 200,000

944,121

200,000 +

1,583,898

The Barge Tool performs one other validation check, ensuring that the fleet's total payload, as determined
from the Barge Operations screen, does not exceed the maximum possible payload based on the reported
towing capacities reported on the Vessel Operations screen.

21 US Maritime Administration data compiled by Tradeswindsnews.com; provided by Terrence Houston, American Waterway Operators, December 15, 2016.

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Future Enhancements

The following enhancements are being considered for future versions of the Barge Tool:

Develop validation ranges for barge-mile, ton-mile, payload, towing capacity, rated power, and other
inputs based on Partner data submissions and/or other sources.

Compile list of common data sources for vessel and barge data, based on Partner data submissions.

^ Add option for dual-fuel propulsion engines.

^ Allow user-specified propulsion engine load factors.

Develop default average volume utilization and payloads based on commodity type and other Partner
data.

I

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References

American Waterway Operators website

Jobs and Economy: Industry Factors, http://www.americanwaterwavs.com/initiatives/iobs-
economv/industrv-facts. Accessed 1-16-24.

Coosa-Alabama River Improvement Association (CARIA)

Barges and Towboats.

Dunn and Bradstreet

Hoovers, Inland Barge Transport, Last accessed 1-31-21.

East Dubuque (ED) Local Area History Project

Barges and Tows, April 2000.

Hines Furlong Line

Tank Barges, http://www.hinesfurLonaline.com/tank-baraes. Accessed 1-16-24.

Ingram Barge Company

Barge Register, 2010.

International Maritime Organization (IMO)

Updated Study on Greenhouse Gas Emissions from Ships, April 2009.

McDonough, Deck Barge Fleet, 2013

https://www.mcdonouahmarine.com/deck-baraes.htmL Accessed 1-16-24.

Texas Transportation Institute (TTI)

and the Center for Ports and Waterways, Modal Comparison of Domestic Freight Transportation Effects on
The General Public, Houston, Texas, March 2009. https://statictti.taimu.edu/tti.taimu.edu/documents/TTI-
2012-fj.pdf. Accessed 1-16-24.

U.S. Army Corp of Engineers

Waterborne Commerce Statistics Center, https://www.iwr.usace.armv.mil/about/technical-centers/wcsc-
waterborne-commerce-statistics-center/. Accessed 1-16-24.

U.S. Department of Transportation

Bureau of Transportation Statistics, North American Freight Transportation, Washington D.C., June 2006.
U.S. Department of Energy

Energy Information Administration's National Energy Modeling System. Annual Energy Outlook 2009 Early
Release: Report #:DOE/EIA-0383. December 2008. https://www.eia.gov/outlooks/archive/aeoOQ/.
Accessed 1-16-24.

U.S. EPA

Category 2 Vessel Census, Activity and Spatial Allocation Assessment and Category 1 and Category 2 In-
Port/At-Sea Splits, February 16, 2007.

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U.S. EPA

Port Emissions Inventory Guidance, September 2020. Accessed 2-15-23.

U.S. EPA

Regulatory Impact Analysis: Control of Emissions of Air Pollution from Locomotive Engines and Marine
Compression Ignition Engines Less than 30 Liters Per Cylinder, May 2008.

Wright International

Barge Brokerage. Last accessed 2-11-19.

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Appendix A: Marine Engine Emission Factors
(g/kWhr)22

Table A-i. Auxiliary Engine Emission Factors (g/kWhr)

Model Year

Engine Size

z

O

X

PM10

BC

Pre-1999

0 < kW < 8

13410

1.213

o.go6

Pre-1999

8 < kW < 19

11.399

i.07g

0.806

Pre-1999

lg < kW < 37

9.253

o.g45

0.706

Pre-1999

37 < kW < 600

10.081

0.2g2

0.218

Pre-1999

600 < kW < 1000

10.406

0.212

0.158

Pre-1999

1000 < kW < 1400

10.947

o.igi

0.143

Pre-1999

1400 < kW < 2000

11.000

o.igo

0.142

1999

0 < kW < 8

13410

1.213

o.go6

1999

8 < kW < lg

11.399

i.07g

0.806

1999

lg < kW < 37

6.343

0.328

0.245

1999

37 < kW < 600

10.081

0.2g2

0.218

1999

600 < kW < 1000

10.406

0.212

0.158

1999

1000 < kW < 1400

10.947

o.igi

0.143

1999

1400 < kW < 2000

11.000

o.igo

0.142

2000

0 < kW < 8

7.014

0.475

0.355

2000

8 < kW < lg

5.954

0.234

0.175

2000

lg < kW < 37

6.343

0.328

0.245

2000

37 < kW < 600

10.081

0.2g2

0.218

2000

600 < kW < 1000

10.406

0.212

0.158

2000

1000 < kW < 1400

10.947

o.igi

0.143

2000

1400 < kW < 2000

11.000

o.igo

0.142

2001

0 < kW < 8

7.014

0.475

0.355

2001

8 < kW < lg

5.954

0.234

0.175

2001

lg < kW < 37

6.343

0.328

0.245

2001

37 < kW < 600

10.081

0.2g2

0.218

2001

600 < kW < 1000

10.406

0.212

0.158

2001

1000 < kW < 1400

10.947

o.igi

0.143

22 Emission factors are from EPA's 2020 Port Emissions Inventory Guidance - https://nepis.epa.aov/Exe/ZvPDF.cai9Dockev-Pioi02Uo.pdf - Accessed 1-16-

24.

SmartWay Technical Documentation | Appendix A A-i


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Model Year

Engine Size

z

O

X

PM10

BC

2001

1400 < kW < 2000

11.000

o.igo

0.142

2002

0 < kW < 8

7.014

0.475

0.355

2002

8 < kW < 19

5.954

0.234

0.175

2002

lg < kW < 37

6.343

0.328

0.245

2002

37 < kW < 600

10.081

0.2g2

0.218

2002

600 < kW < 1000

10.406

0.212

0.158

2002

1000 < kW < 1400

io.g47

o.igi

0.143

2002

1400 < kW < 2000

11.000

o.igo

0.142

2003

0 < kW < 8

7.014

0.475

0.355

2003

8 < kW < lg

5-954

0.234

0.175

2003

lg < kW < 37

6.343

0.328

0.245

2003

37 < kW < 600

10.081

0.2g2

0.218

2003

600 < kW < 1000

10.406

0.212

0.158

2003

1000 < kW < 1400

io.g47

o.igi

0.143

2003

1400 < kW < 2000

11.000

o.igo

0.142

2004

0 < kW < 8

7.014

0.475

0.355

2004

8 < kW < lg

5-954

0.234

0.175

2004

lg < kW < 37

4-975

o.2g5

0.221

2004

37 < kW < 600

6.373

o.igo

0.142

2004

600 < kW < 1000

7.621

0.166

0.124

2004

1000 < kW < 1400

9.195

o.igi

0.143

2004

1400 < kW < 2000

g.200

o.igo

0.142

2005

0 < kW < 8

5.887

o.4g7

0.371

2005

8 < kW < lg

4.868

0.242

0.181

2005

lg < kW < 37

4-g75

o.2g5

0.221

2005

37 < kW < 600

6.105

0.157

0.117

2005

600 < kW < 1000

7.621

0.166

0.124

2005

1000 < kW < 1400

9.195

o.igi

0.143

2005

1400 < kW < 2000

g.200

o.igo

0.142

2006

0 < kW < 8

5.887

o.4g7

0.371

2006

8 < kW < lg

4.868

0.242

0.181

2006

lg < kW < 37

4-g75

o.2g5

0.221

2006

37 < kW < 600

6.105

0.157

0.117

2006

600 < kW < 1000

7.621

0.166

0.124

2006

1000 < kW < 1400

9.195

o.igi

0.143

2006

1400 < kW < 2000

g.200

o.igo

0.142

SmartWay Technical Documentation | Appendix A A-2


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Model Year

Engine Size

z

O

X

PM10

BC

2007

0 < kW < 8

5.887

0.497

0.371

2007

8 < kW < 19

4.868

0.242

0.181

2007

lg < kW < 37

4.g75

o.2g5

0.221

2007

37 < kW < 600

5.962

0.154

0.115

2007

600 < kW < 1000

6.100

o.i3g

0.104

2007

1000 < kW < 1400

6.100

o.i3g

0.104

2007

1400 < kW < 2000

6.100

o.i3g

0.104

2008

0 < kW < 8

5.887

o.4g7

0.371

2008

8 < kW < lg

4.868

0.242

0.181

2008

lg < kW < 37

4-975

o.2g5

0.221

2008

37 < kW < 600

5.962

0.154

0.115

2008

600 < kW < 1000

6.100

o.i3g

0.104

2008

1000 < kW < 1400

6.100

o.i3g

0.104

2008

1400 < kW < 2000

6.100

o.i3g

0.104

2009

0 < kW < 8

4.390

0.240

o.i7g

2009

8 < kW < lg

3.630

o.igo

0.142

2009

lg < kW < 37

3.710

0.180

0.134

2009

37 < kW < 600

5.962

0.151

0.113

2009

600 < kW < 1000

6.100

o.i3g

0.104

2009

1000 < kW < 1400

6.100

o.i3g

0.104

2009

1400 < kW < 2000

6.100

o.i3g

0.104

2010

0 < kW < 8

4.390

0.240

o.i7g

2010

8 < kW < lg

3.630

o.igo

0.142

2010

lg < kW < 37

3.710

0.180

0.134

2010

37 < kW < 600

5.962

0.151

0.113

2010

600 < kW < 1000

6.100

o.i3g

0.104

2010

1000 < kW < 1400

6.100

o.i3g

0.104

2010

1400 < kW < 2000

6.100

o.i3g

0.104

2011

0 < kW < 8

4.390

0.240

o.i7g

2011

8 < kW < lg

3.630

o.igo

0.142

2011

lg < kW < 37

3.710

0.180

0.134

2011

37 < kW < 600

5.962

0.151

0.113

2011

600 < kW < 1000

6.100

o.i3g

0.104

2011

1000 < kW < 1400

6.100

o.i3g

0.104

2011

1400 < kW < 2000

6.100

o.i3g

0.104

2012

0 < kW < 8

4.390

0.240

o.i7g

SmartWay Technical Documentation | Appendix A A-3


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Model Year

Engine Size

z

0

X

PM10

BC

2012

8 < kW < lg

3.630

o.igo

0.142

2012

lg < kW < 37

3.710

0.180

0.134

2012

37 < kW < 6oo

5.924

0.148

0.111

2012

6oo < kW < iooo

5.608

0.115

0.086

2012

iooo < kW < 1400

4.954

0.083

0.062

2012

1400 < kW < 2000

4-8go

0.080

0.060

2013

0 < kW < 8

4.390

0.240

o.i7g

2013

8 < kW < lg

3.630

o.igo

0.142

2013

lg < kW < 37

3.710

0.180

0.134

2013

37 < kW < 600

5.661

0.128

o.ogs

2013

600 < kW < 1000

5.492

0.110

0.082

2013

1000 < kW < 1400

4.884

0.080

0.060

2013

1400 < kW < 2000

4-8go

0.080

0.060

2014

0 < kW < 8

4.390

0.240

o.i7g

2014

8 < kW < lg

2.320

o.igo

0.142

2014

lg < kW < 37

2.320

0.180

0.134

2014

37 < kW < 600

4.580

0.085

0.063

2014

600 < kW < 1000

4.819

0.080

0.060

2014

1000 < kW < 1400

4.884

0.080

0.060

2014

1400 < kW < 2000

4-8go

0.080

0.060

2015

0 < kW < 8

4.390

0.240

o.i7g

2015

8 < kW < lg

2.320

o.igo

0.142

2015

lg < kW < 37

2.320

0.180

0.134

2015

37 < kW < 600

4.580

0.085

0.063

2015

600 < kW < 1000

4.819

0.080

0.060

2015

1000 < kW < 1400

4.884

0.080

0.060

2015

1400 < kW < 2000

4-8go

0.080

0.060

2016

0 < kW < 8

4.390

0.240

o.i7g

2016

8 < kW < lg

2.320

o.igo

0.142

2016

lg < kW < 37

2.320

0.180

0.134

2016

37 < kW < 600

4.580

0.085

0.063

2016

600 < kW < 1000

4.819

0.080

0.060

2016

1000 < kW < 1400

4.884

0.080

0.060

2016

1400 < kW < 2000

1.300

0.030

0.022

2017

0 < kW < 8

4.390

0.240

o.i7g

2017

8 < kW < lg

2.320

o.igo

0.142

SmartWay Technical Documentation | Appendix A A-4


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Model Year

Engine Size

z

O

X

PM10

BC

2017

lg < kW < 37

2.320

0.180

0.134

2017

37 < kW < 600

4.580

0.085

0.063

2017

600 < kW < 1000

4-8ig

0.080

0.060

2017

1000 < kW < 1400

1.300

0.030

0.022

2017

1400 < kW < 2000

1.300

0.030

0.022

2018+

0 < kW < 8

4.390

0.240

0.179

2018+

8 < kW < 19

2.320

o.igo

0.142

2018+

lg < kW < 37

2.320

0.180

0.134

2018+

37 < kW < 600

4.580

0.077

O.O58

2018+

600 < kW < 1000

1.300

0.030

0.022

2018+

1000 < kW < 1400

1.300

0.030

0.022

2018+

1400 < kW < 2000

1.300

0.030

0.022

SmartWay Technical Documentation | Appendix A A-5


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Table A-2. Propulsion Engine Emission Factors (g/kWhr)

Model Year	Engine Size

Pre-1999

37 < kW < 600

10.076

0.242

0.181

Pre-1999

600 < kW < 1000

10.247

0.208

0.155

Pre-1999

1000 < kW < 1400

10.454

0.217

0.162

Pre-1999

1400 < kW < 2000

11.799

0.197

0.147

Pre-1999

2000 < kW < 3700

13-360

0.210

0.157

Pre-1999

3700+ kW

13.360

0.210

0.157

1999

37 < kW < 600

10.076

0.242

0.181

1999

600 < kW < 1000

10.247

0.208

0.155

1999

1000 < kW < 1400

10.454

0.217

0.162

1999

1400 < kW < 2000

11.799

0.197

0.147

1999

2000 < kW < 3700

13.360

0.210

0.157

1999

3700+ kW

13.360

0.210

0.157

2000

37 < kW < 600

10.076

0.242

0.181

2000

600 < kW < 1000

10.247

0.208

0.155

2000

1000 < kW < 1400

10.454

0.217

0.162

2000

1400 < kW < 2000

11.799

0.197

0.147

2000

2000 < kW < 3700

13.360

0.210

0.157

2000

3700+ kW

13.360

0.210

0.157

2001

37 < kW < 600

10.076

0.242

0.181

2001

600 < kW < 1000

10.247

0.208

0.155

2001

1000 < kW < 1400

10.454

0.217

0.162

2001

1400 < kW < 2000

11.799

0.197

0.147

2001

2000 < kW < 3700

13.360

0.210

0.157

2001

3700+ kW

13.360

0.210

0.157

2002

37 < kW < 600

10.076

0.242

0.181

2002

600 < kW < 1000

10.247

0.208

0.155

2002

1000 < kW < 1400

10.454

0.217

0.162

2002

1400 < kW < 2000

11.799

0.197

0.147

2002

2000 < kW < 3700

13.360

0.210

0.157

2002

3700+ kW

13.360

0.210

0.157

2003

37 < kW < 600

10.076

0.242

0.181

2003

600 < kW < 1000

10.247

0.208

0.155

2003

1000 < kW < 1400

10.454

0.217

0.162

2003

1400 < kW < 2000

11.799

0.197

0.147

SmartWay Technical Documentation | Appendix A A-6


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Model Year

Engine Size

z

O

X

PM10

BC

2003

2000 < kW < 3700

13.360

0.210

0.157

2003

3700+ kW

13.360

0.210

0.157

2004

37 < kW < 600

6.502

0.131

0.098

2004

600 < kW < 1000

7.828

0.160

0.120

2004

1000 < kW < 1400

7.278

0.147

0.110

2004

1400 < kW < 2000

9.657

0.197

0.147

2004

2000 < kW < 3700

10.550

0.210

0.157

2004

3700+ kW

10.550

0.210

0.157

2005

37 < kW < 600

6.456

0.129

0.096

2005

600 < kW < 1000

7.828

0.160

0.120

2005

1000 < kW < 1400

7.278

0.147

0.110

2005

1400 < kW < 2000

9.657

0.197

0.147

2005

2000 < kW < 3700

10.550

0.210

0.157

2005

3700+ kW

10.550

0.210

0.157

2006

37 < kW < 600

6.456

0.129

0.096

2006

600 < kW < 1000

7.828

0.160

0.120

2006

1000 < kW < 1400

7.278

0.147

0.110

2006

1400 < kW < 2000

9.657

0.197

0.147

2006

2000 < kW < 3700

10.550

0.210

0.157

2006

3700+ kW

10.550

0.210

0.157

2007

37 < kW < 600

6.058

0.123

0.092

2007

600 < kW < 1000

6.061

0.124

0.092

2007

1000 < kW < 1400

6.218

0.137

0.102

2007

1400 < kW < 2000

6.789

0.183

0.137

2007

2000 < kW < 3700

8.330

0.309

0.231

2007

3700+ kW

8.330

0.309

0.231

2008

37 < kW < 600

6.058

0.123

0.092

2008

600 < kW < 1000

6.061

0.124

0.092

2008

1000 < kW < 1400

6.218

0.137

0.102

2008

1400 < kW < 2000

6.789

0.183

0.137

2008

2000 < kW < 3700

8.330

0.309

0.231

2008

3700+ kW

8.330

0.309

0.231

2009

37 < kW < 600

6.058

0.123

0.092

2009

600 < kW < 1000

6.061

0.124

0.092

2009

1000 < kW < 1400

6.218

0.137

0.102

2009

1400 < kW < 2000

6.789

0.183

0.137

SmartWay Technical Documentation | Appendix A A-7


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Model Year

Engine Size

NOx

PM10

BC

2009

2000 < kW < 3700

8.330

0.309

0.231

2009

3700+ kW

8.330

0.309

0.231

2010

37 < kW < 6oo

6.058

0.123

o.og2

2010

6oo < kW < iooo

6.061

0.124

o.og2

2010

iooo < kW < 1400

6.218

0.137

0.102

2010

1400 < kW < 2000

6.789

0.183

0.137

2010

2000 < kW < 3700

8.330

0.309

0.231

2010

3700+ kW

8.330

0.309

0.231

2011

37 < kW < 600

6.058

0.123

o.og2

2011

600 < kW < 1000

6.061

0.124

o.og2

2011

1000 < kW < 1400

6.218

0.137

0.102

2011

1400 < kW < 2000

6.789

0.183

0.137

2011

2000 < kW < 3700

8.330

0.309

0.231

2011

3700+ kW

8.330

0.309

0.231

2012

37 < kW < 600

6.041

0.121

o.ogi

2012

600 < kW < 1000

5.872

0.116

0.087

2012

1000 < kW < 1400

6.051

0.130

o.og7

2012

1400 < kW < 2000

6.002

0.151

0.113

2012

2000 < kW < 3700

8.330

0.309

0.231

2012

3700+ kW

8.330

0.309

0.231

2013

37 < kW < 600

5.668

0.105

o.o7g

2013

600 < kW < 1000

5.303

0.092

o.o6g

2013

1000 < kW < 1400

5.659

0.105

0.078

2013

1400 < kW < 2000

5.398

0.100

0.075

2013

2000 < kW < 3700

8.330

0.185

0.138

2013

3700+ kW

8.330

0.309

0.231

2014

37 < kW < 600

4.692

0.069

0.052

2014

600 < kW < 1000

4.743

0.071

0.053

2014

1000 < kW < 1400

4.826

0.074

0.055

2014

1400 < kW < 2000

5.269

o.ogg

0.074

2014

2000 < kW < 3700

1.300

0.182

0.136

2014

3700+ kW

1.300

0.180

0.134

2015

37 < kW < 600

4.692

0.069

0.052

2015

600 < kW < 1000

4.743

0.071

0.053

2015

1000 < kW < 1400

4.826

0.074

0.055

2015

1400 < kW < 2000

5.269

o.ogg

0.074

SmartWay Technical Documentation | Appendix A A-8


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Model Year

Engine Size

NOx

PM10

BC

2015

2000 < kW < 3700

1.300

0.182

0.136

2015

3700+ kW

1.300

0.180

0.134

2016

37 < kW < 600

4.692

0.069

0.052

2016

600 < kW < 1000

4-743

0.071

0.053

2016

1000 < kW < 1400

4.826

0.074

0.055

2016

1400 < kW < 2000

1.300

0.031

0.023

2016

2000 < kW < 3700

1.300

0.034

0.025

2016

3700+ kW

1.300

0.180

0.134

2017

37 < kW < 600

4.692

0.069

0.052

2017

600 < kW < 1000

4-743

0.071

0.053

2017

1000 < kW < 1400

1.300

0.030

0.022

2017

1400 < kW < 2000

1.300

0.031

0.023

2017

2000 < kW < 3700

1.300

0.034

0.025

2017

3700+ kW

1.300

0.046

0.034

2018+

37 < kW < 600

4.692

0.061

O.O46

2018+

600 < kW < 1000

1.300

0.030

0.022

2018+

1000 < kW < 1400

1.300

0.030

0.022

2018+

1400 < kW < 2000

1.300

0.031

0.023

2018+

2000 < kW < 3700

1.300

0.034

0.025

2018+

3700+ kW

1.300

0.046

0.034

SmartWay Technical Documentation | Appendix A A-g


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U.S. Environmental Protection Agency »

U. S. Environmental Protection Agency
Office of Transportation and Air Quality
1200 Pennsylvania Ave. NW
Washington, DC 20460
(734)214-4333

https://www.epa.gov/

U. S. Environmental Protection Agency
National Vehicle and Fuel Emissions Laboratory
2565 Plymouth Rd.

Ann Arbor, Ml 48105
(734) 214-4200

https://www.epa.gov/transportation-air-
pollution-and-climate-change

EPA-420-B-24-012 | February 2024 | SmartWay Transport Partnership | epa.gov/smartway


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