Waste Reduction Model (WARM) Tool
User's Guide
WARM version: 14 (March 2016)
Software version: 1.5
Guide version: March 2018
Contents
1. Introduction 2
2. Installation 2
2.1 Hardware and software requirements 3
3. First start and overview 3
4. Data entry 5
4.1 Generate scenarios 5
4.2 Further characteristics 6
4.3 General Information 9
4.4 Calculation 10
5. Results 10
5.1 Summary 11
5.2 Analysis 11
5.3 Report export 12
6. Saving data 13
7. Other features 13
8. Contact 14
9. Acknowledgments 14
AEPA
EPA530-R-18-001
March 2018 United States
www.epa.gov/warm Environmental Protection
Agency
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WARM Tool User's Guide, March 2018
1. Introduction
The Waste Reduction Model (WARM) was created by the U.S. Environmental Protection
Agency (EPA) to help solid waste planners and organizations estimate greenhouse gas (GHG)
emission reductions from several different waste management practices. The purpose of this
document is to provide guidance to WARM users in downloading, installing, and using the
WARM Tool, including an overview of the tool's key functions and capabilities.
WARM calculates GHG emissions for baseline and alternative waste management practices,
including source reduction, recycling, combustion, composting, anaerobic digestion, and
landfilling. The model calculates emissions in metric tons of carbon dioxide equivalent
(MTCO2E) and metric tons of carbon equivalent (MTCE) across a wide range of material types
commonly found in municipal solid waste (MSW). Moreover, results of energy consumption in
million British thermal unit (million BTU) are also calculated. The user can construct various
scenarios by simply entering data on the amount of waste handled by material type and by
management practice. WARM then automatically applies material-specific emission factors
for each management practice to calculate the GHG emissions and energy use of each
scenario. Several key inputs, such as landfill gas recovery practices and transportation
distances to MSW facilities, can be modified by the user.
The GHG emission factors used in WARM are based on a life cycle perspective. The model
documentation describes this methodology in detail. The WARM model was implemented in
the free, open source life-cycle assessment (LCA) software called openLCA. The resulting
openLCA database is used for the calculation of impacts in the WARM Tool described in this
guide. The WARM version implemented in this software is WARM vl4 (March 2016).
2. Installation
There are versions of the WARM Tool available for Windows (64 bit and 32 bit upon request) and
Mac (64 bit and 32 bit upon request). In all cases, the tool is provided in a compressed file (*.zip,
*.gz), which should be first downloaded and then its content extracted (i.e., right click on the
file -> Extract...).
A folder "WARM" will be then generated. The file "WARM.exe" contained in it should be run to
get the application started.
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WARM Too! User's Guide, March 2018
1. ~ This PC ~ Downloads ~ WARM
Name
configuration
jre
licenses
plugins
workspace
xulrunner
.eclipseproduct
LICENSE.txt
O WARM.exe
Figure 1. Content of WARM folder when extracted from the compressed file
2.1 Hardware and software requirements
Hardware:
• 1 GB RAM
• 140 MB (Windows), 64 MB (Mac) free hard disk space
Software:
• Microsoft Visual C++ Runtime vlO needs to be installed on Windows 64 bit because the
WARM Tool contains a browser engine for the display of modern HTML pages that requires
this runtime. If you have not installed it before running the tool, a message like in Figure 2
would be shown. You can download this runtime here.
JV Enable modern browser support X
Enable modern browser support
Warm contains a browser engine for the display of modern
HTML pages. It requires the [Microsoft Visual O * Runtime vlQ
to be installed on Windows 64bit which seems to be not the
case on your system. In order to run WARM, it is necessary to
install this runtime.
I I Do not show this message again
OK
Figure 2. Message displayed if the MS Visual C++ Runtime vl 0 is missing
3. First start and overview
When first running WARM, the Home page is shown providing some information and tips about
the tool.
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WARM Tool User's Guide, March 2018
Waste Reduction Model (WARM)
EPA created WARM !o help solid ¦Mate ptenners and organizations track and voluniarlly report greenhouse gas emissions reductions and energy savings from several different waste management practices
Use this program to describe the baseline and alternative MSW management scenarios that you want to compare. Please fofcow the steps beSow to enter your material tonnage information in the Input boxes
In the tables, and select appropriate landfill and waste transport characteristics.
For information on the definition of each of the WARM material' types as well as data source and year of underlying We-cyde data piease see the WARM materials definitions sat.
Tips:
> If the listed material is not generated in your community'organization or you do hot w
¦ Make sure that the total quantity generated equals the total quantity managed.
• If you have any questions, consult the WARM User's Guide.
i! to analyze it leave it blank or enter 0.
Report;
• Alter clicking "Get started", fill out the baseline and alternative scenario tables on the page "Scenarios" as well as the information on the page "Further Characteristics", then select the "Calculation"
button to create a summary of your project The inputs in the "General Information" tab are optional and may be used to customize your summary report
Get Started
Figure 3. Home tab
If you click the button "Get Started", a new tab "Data Entry" appears, where the data for the
analysis should be entered by the user. This tab consists of four steps: Scenarios, Further
Characteristics, General Information and Calculation. You can navigate through them by
clicking on the buttons on the top of the tab or on the "Back"/ "Next" buttons on the bottom
of the page. You can also use the scrollbar in the right of the window to see the full content of
each page. Detailed information about the "Data Entry" tab is provided in section 4 of this
guide.
Waste Reduction Model (WARM)
~
« Char.u:I«ti«l!M
3 Gnfwfai intomui**i
4 i ..iCtiHlmn
Rntut enter data n «roft ions <1 wiott Ion = ?. 000 its ) and retet Id the uxor** Gimsc it you need aivstance
Baseline Scenario: D«er»e we oaseime generation ana management tor the MSW material listed Below it tft
Alternative Scenario; Desert* trie aitcmawc management scenario for the MSW matcnaa generates n the ck
m « not generated m your eerminty or you Co r»
til b« validated to mm up correctly. The ton* generated In the baselnve
mini match ttie ton* generated In the alternative
A rare vafitm the sum of tons entered m the Baseine Scenario coWirws as snewm m inc Tons Generated coumn a equaf to me sum ot tons entered ti tnc ArtemaMe Scenario commns For oantut ir Hie Baseane Scenario assumes
Rial 100 low of ahinwum tans are lanatited this is the Tens Generated value. To generale valid resuis all values entered In the Alternative S
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WARM Tool User's Guide, March 2018
After the calculation for the entered data is finalized, results will be shown in a new tab
"Report". Detailed information about the results analysis is provided in section 5 of this guide.
It is also possible to save the data entered in the "Data Entry" tab for future assessments, as
explained in section 6 of this guide.
4. Data entry
4.1. Generate scenarios
Baseline and alternative scenarios can be constructed by simply entering data on the amount
of waste handled by material type and by management practice. There are fifty-four material
types (rows) and six management practices available (columns): recycling, landfilling,
combustion, composting, anaerobic digestion, and source reduction. This last practice is only
included in the "Alternative Scenario", and refers to the decrease in waste generation
compared to the waste handled in the baseline scenario.
There is an additional column "Tons generated" which is automatically updated by the tool
and represents the total amount of waste handled in the baseline scenario, per material type.
If data is introduced only for the alternative scenario, this field will remain as "0".
It is not necessary to enter data for all materials and management practices, only for those
relevant for your assessment. When no data is added in a specific cell, the value remains as
"0". In addition, not all management practices are available for all material types (e.g., food
waste cannot be recycled). In those cases, "N/A" is written in the correspondent cell and no
data can be entered by the user.
When scrolling down in the page view, the headers of the table columns will not be visible
anymore. However, tooltips are available when typing in or hovering over each cell with
information about the corresponding scenario and management practice.
Baseline Scenario
Tons
Anaerobically
Digested
Tons
Recycled
Tons
Landfilled
Tons
Combusted Composted
Tons
Material
Aluminum Cans
N/A
N/A
Aluminum Ingot
N/A
N/A
Steel Cans
N/A
N/A
Copper Wire
N/A
N/A
Glass
N/A
N/A
HDPE
N/A
N/A
Base scenario-Tens landfilled
Figure 5. Entering data on the "Scenarios" step of the "Data Entry" tab
The following requirements exist for entering the data:
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WARM Tool User's Guide, March 2018
Amounts should be entered in short tons1
Only numbers can be entered (i.e., no formulas supported)
should be used as decimal separator
The total amount of waste handled in the baseline scenario has to equal the total
amount of waste entered for the alternative scenario, per material. A validation is done
for each material, and if there were divergences between the quantities generated in
each scenario, that row is highlighted and an exclamation mark added to the left of
the material's name.
Batalma Scanjno
AltamaUva Scenario
"font
Recycled
TOn*
Composted
ten*
Anaarobtcally
Digested
Ton*
Sourca
Reduced
¦R>n»
Racyclad
Ton*
Composted
tons
Anaaroblcally
Digested
Slew Cans
Copper Wire
Figure 6. Error of validation for several materials in the "Scenarios" step (i.e., baseline total amount ^
alternative total amount)
Once the data have been entered, you can continue to the next step clicking "2. Further
Characteristics" (top of the page) or "Next" (bottom of the page). You can also navigate to
other sections, like heading directly to the calculation if you want the keep all default options
in the next sections. If the "Scenarios" step is left without having fixed possible invalid entries
(i.e., total baseline ^ total alternative), a warning message is displayed informing of the user
that these amounts are not equal. The calculation can be run anyway, but the user should be
aware of the existing differences in total quantities between scenarios.
Waste Reduction Model '
2 rutttwr Characteristic
Material
I Aluminum Cans
Tbn®
Recycled
Tons
Landfllled
Warning
The total quantity generated in the
alternative scenario does not equal
me total quantity managed in me
baseline scenario tor one or more
matenals. Please be aware that the
reported differences between the
baseline and alternative scenarios will
not be correct if you proceed
4 Catcuiaoon
Tdns TOna Tons TBns
Reduced Rscyctod Landfllled Combusted Composted
Figure 7. Warning message displayed if any material has invalid data entries
4.2. Further characteristics
Several key inputs affecting the GHGs and Energy results can be modified by the user. These
are:
Locations: they affect the emission factors for those management practices
consuming/avoiding electricity. The specific regional grid mix is used depending on the
state selected by the user in the drop-down menu. The value by default is "National
Average".
11 short ton = 2,000 lbs = 907.18 kg
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WARM Tool User's Guide, March 2018
W
3 General Information 4 Calculation
In order to account for the avoided electrtcrty-related emissions in the Eanctfilling and combustion pathways, EPA assigns the appropriate regional "marginal" electricity grid mix emission factor based on
your location
Please seiect state or national average National Average -
Region location: National Average
Figure 8. Locations options in "Further characteristics" section of the "Data Entry" tab
• Waste Transport Characteristics: the distances covered between the location where
the waste was collected and the correspondent management facility can also be
modified. The value by default is 20 miles. You can select the option "Define distance"
to enter new values (also in miles).
4 Calculation
Waste Transport Characteristics
PnwxxKat* thai occur during transport of rru&uMts to Hie maruKjemenl facility are included in Hiis model Ydii may u*r default transport distances 70 mftnv or jxovKSe information art Hie transport dalance* tor the various MSW
management options
Dettn* distance
Management option
Dtfautt Distance Oehnad Distance
(miles) (mil**)
Recycling
Composting
Figure 9. Waste transport options in "Further characteristics" section of the "Data Entry" tab
• Source reduction: you can decide whether the material that is source reduced would
have been manufactured from the current mix of recycled and virgin materials or from
100% virgin materials. The option by default is "Current mix".
f 3 General information A Calculation
v- Source reduelton
To estmafa Ihe benefit* ftoffi soiBte reduction FPA imiafy assume* thai the material that It source seduced would Have been manufactured from the cunent nUi of virgin and recycled inputs However you may dtocme to estimate the
etranHon reduction* from source reduction wider the assumption mat ttie matenai wou*3 nave Men manufactured from WON virgin inputs « order to owain an upper Bound esmate or me Penems from source reduction Select ufucn
assumption you want to use in the ana^-sts Mote that Tor mascnas tor awen aitormaeon on the share of recycled npuls used *i production « unavailable or is not a common practice ERA assumes that the current mm rs composed of
100* virgin irvputs Consimjuoimy, the source reouchon henonts oi botn the "Current mar and "100*. vtrgur mputs aie tne same
• Current Mb
© 1«J% Virgin
Figure 10. Source reduction options in "Further characteristics" section of the "Data Entry" tab
• Landfill characteristics: you can determine the:
1) Type of landfill: there are four options available: No landfill gas (LFG) recovery, LFG
recovery for energy, LFG recovery and flared, and a "National Average" type which
calculates emissions based on the proportions of the other three types in 2012.
Depending on the selection, the other two options for landfill characteristics will be
modifiable or not. For instance, if "No LFG Recovery" is selected, there are no further
options to be chosen. On the other hand, if "National Average" is selected, the
option "HI) Moisture Conditions and Decay Rates" is also modifiable.
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WARM Tool User's Guide, March 2018
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3 General Information
4 Calculation
v Landfill Characteristics (I. II. Ill)
v l) Landfill Type
"Hie emissions from landfilllng depend on whether the landfill where your waste is disposed has a landfill gas (LFG) control system. If you do not know whether your landfill has LFG control, select
"National Average", which calculates emissions based on the proportions of landfills with LFG control in 2012. If your landfill does not have a LFG system, select "No LFG Recovery" If a LFG system
Is In place at your landfill, select "LFG Recovery* and click one of the Indented buttons to Indicate whether LFG Is recovered for energy or flared
® National Average
o No LFG Recovery
C1 LFG Recovery
• Recover for energy
Rare
Figure 11. Landfill type options in "Further characteristics" section of the "Data Entry" tab
II) Landfill Gas Recovery: only relevant if any "LFG Recovery" option has been chosen
previously. It represents four different gas collection efficiencies throughout the life
of the landfill: typical, worst-case, aggressive, and California regulatory collections.
Assumptions made for each option are explained in the tool.
3 General Information
4 Calculation
® LFG Recovery
¥ Recover for energy
O Flare
v 11) Landfill Gas Recovery
For landfills that recover gas, the landfill gas collection efficiency will vary throughout the life of the landfill Based on a literature review of field measurements and expert discussion, a range of
coUectlon efficiencies was estimated for a senes of different landfill scenarios. The "typical" landfill is |udged to represent the average U.S. landfill, although it must be recognized that every landfill is
unique and a typical landfill is an approximation of reality. The worst-case collection scenario represents a landfill that is in compliance wtth EPA's New Source Performance Standards (NSPS). The
aggressive gas collection scenario Includes landfills where the operator Is aggressive in gas collection relative to a typical landfill Bloreactor landfills, which are operated to accelerate decomposition,
are assumed to collect gas aggressively The California regulatory collection scenario allows users to estimate and view landfill management results based on California regulatory requirements
• Typical operation - DEFAULT
Worst-case collection
O Aggressive gas collection
California regulatory collection
Landfill gas colleclton efficiency l» assumptions
Typed Years 0-1 0% Year* 7-4 50%. Year* 5-14 75% Years 15 to 1 yew befoir cover 8? 5%. Final cover 90S
Woratctwe Yews 0-4 0% Yeara&-9 50% Yeaiu 10 14 ?&%, Yejm 16 to 1 yetu bdise final cover II? £>% f *ml cows
Aggrwsw YearO 0%, Years QS2: W%, Years 3-14 7$% Years 15101 >*sr More lirval cover 82 6%; f irwl covw 90*
CaWorma Year 0: 0% Year f WJ%, Years 2-f 80% Years 8 ID 1 year Delore final cover B3% f rial cover 90%
Figure 12. Landfill gas recovery options in "Further characteristics" section of the "Data Entry" tab
HI) Moisture Conditions and Decay Rates: relevant if "National Average" or any "LFG
Recovery" option has been selected as landfill type. You can select here between
five moisture conditions and associated bulk MSW decay rates (k) the one which
best represents the conditions in your assessed landfill. The options are: National
Average, dry (k=0.02), moderate (k=0.04), wet (k=0.06) and bioreactor (k=0.12). A
higher average decay rate means that waste decomposes faster in the landfill.
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WARM Tool User's Guide, March 2018
¥
3 General Information
re in place as your lanatm, seiect ur-Ls necovery ana aicx one or tne inaentea oiraons to inancate wrvetner u-ts is recoverea ror energy or narea.
• National Average
No LFG Recovery
LFG Recovery
• Recover for energy
Flare
> II) Landfill Gas Recovery
V III) Moisture Conditions and Decay Rates
VWilch or (he following moisture conations and associated t>ulk MSW decay rate (k) most accurately describes the average conditions at tne landfill? The decay rales, also referred to as k values,
describe the rate of change per year (yr-1) for the decomposition of organic waste in landfills. A higher average decay rate means thai waste decomposes faster in the landflH
National Average - DEFAULT
Dry
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WARM Tool User's Guide, March 2018
~
The foflowlng input are optional Bnd may tie used to customize your summary report
Organization:
Descnptton"
Figure 16. "General Information" section of the "Data Entry" tab
4.4. Calculation
Three types of calculations can be performed in the WARM tool:
• GHGs emissions in metric tons of carbon dioxide equivalent (MTC02E)
• GHGs emissions in metric tons of carbon equivalent (MTCE)
• Energy consumed in million BTU
v Calculation Properties
Please select She resuft output unit
® Metric Tons of Cartoon Dioxide Equivalent (MTC02E)
Metric Tons of Cartoon Equivalent (MTCE)
O Units of Energy (million BTU)
You can return to this screen to generate results with another output unit once the Initial report has been generated
Calculate
Figure 17. "Calculation" section of the "Data Entry" tab
After selecting the preferred calculation option, click on "Calculate" to get the results in a new
tab "Report". You might need to wait a bit longer for the calculation to complete for the initial
run.
5. Results
There are two sub-tabs within the "Report" tab created after the calculation: summary and
analysis. They can be found in the bottom left corner of the "Report" tab.
Summary Analysis
Figure 18. Detail of tabs found at the bottom of the "Report" screen
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WARM Tool User's Guide, March 2018
How to interpret the results presented in them? If a GHG emission value is negative, it means
that those emissions have been avoided during the management of that specific material type
and/or scenario. Likewise, if an energy consumption is negative, it means that the modelled
scenario avoids the consumption of that amount of energy. If the total change between the
alternative and baseline scenario is negative, then the alternative scenario will result in fewer
GHG emissions or energy consumption than the baseline, and vice versa.
Only those materials for which data has been entered on the "Scenarios" step will be presen ted
in the results.
As in the "Scenarios" step, there are also tooltips for each cell/bar of the different results' tables
containing information about the data displayed in them.
5.1. Summary
This sub-tab contains a table similar to the one in the "Scenarios" step but also includes the
GHG emissions/Energy consumption per material and scenario. In addition, there is a column
on the right side with the change between the two scenarios (i.e., Alternative minus Baseline)
for the metric selected in the calculation properties.
Moreover, there are equivalencies in the bottom right of the page for the resulting total
change. For example, WARM includes the amount of passenger vehicles' annual emissions
equivalent to the total change in GHG Emissions. Depending on the sign of the total change,
this equivalency will be presented as removal of annual emissions (if the sign is negative) or
adding of emissions (if the sign is positive).
IV Horn* ^ •©*!* Cn»fy - Unt*.*! Rapoit 3
Waste Reduction Model (WARM)
B Summary Report (MTC02E)
GHG Emissions Analysis - Summary Report
GHG Emissions Waste Management Analysis (or (organization)
Prepared tsy {nam*]
Projecl Perod for tn* Anafysts {from] to flo)
Baseline Scenario
Alternative Scenario
Material
Tons
Recycled
Tans
Landtiiled
Tans
Combusted
Tons
Composted
AitaerobicaJly
OrgealaO
Total "tons
RITG02E R^Uu™
Tons
Recycled
Tons
Landtilied
Tons
Combusted
Tons
Composted
TDIH
Total
Anaerobicaily
_ „ _ MTCOZE
Oigaiatad
(Alt-Base)
MTCOZH
Glass
75 50
15 00
000
NM
m
•?0 57 10 50
75 on
500
000
HiK
NlA 36 1C
SM
¦20 57
•261«
SI ErnuilDfis MSnatas otwSM :-y tr*i ww in imsivw-s is htppet wluntsn GHG muuwiwnl ana ns-srans
o IJiO GHG omiswtni intSh attntfM »i WAHU rntcaJf m* Ml Mo tvae Ban*Bt» waste muiiagmwf
•llr tnalr.t s Du« Is thi Innij oi Ula GHG anaaaiBna from N w«l» management patnvar* (t 8 avoided
lanstBing ar.d incraaiika r»c>tilng) T* acaiai GHG unpbcatsna mi, aoaua cut! *v» lung-um TharaWt* oi
4\ Tht eautialano rata** miluded tn Iht 6m Is Sic iigtil we* davt^epttf DasatS on Bn CPA :
r ijui. itei ana bic pnsamaa si in atampu oI pefsfrfcu aquhHanea*
a* caaadatag lining WARU results af tva Cf aaonousa Ga» f ijutaiano^; Caloaator m
Tolas Change in CMC fcraKsidns {MfCOSE ¦ -5 58
TTns « equivalent to
ROffOVtng .iruiu.ii wrasswns Horn 1 passtengm VWacie*
Conserving 628 Gartens of Gasoime
Consufvtng 332 Cylinders of Projwuue Used tcm Hcerw Basbcquet
Figure 19. "Summary" sub-tab of the report
5.2. Analysis
This sub-tab contains four sections:
• Emission factors: this table contains the emission factors (in the selected metric) per
relevant material type and management practice. The tons specified per material and
management practice are multiplied by these factors to obtain the GHG
emission/Energy consumption results.
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WARM Tool User's Guide, March 2018
Tola GHG Emissions from Baseine MSW Generation ana Management (WTC02E) -20.67
loUV CPHG (fniKuom from AjtMriulivn MSW Gonoraiion and Ujn.igemmi («rco2f > -as. 1 s
incremental GHG Emissions (MTC02E) -t N
MTCOJt - nwnne ton* of eartMMl MkuMI* equNalMt
FBI---- — —
Material
CMC Emissions
per Topi of Material
Source Reduced (MTC02E)
CHC Enutuons
per Ton of Material
Recycled (MTC02E)
CHC Emission*
per Ton of Material
LandWIed (UTC02E)
CHC Emissions QHC Emissions
per Ton of Material per 'ten of Material
Combusted (MTC02E) Composted! (MTC02E)
CHC Emissions
per Ton of Material
AnaerobicaJly Digosted [MTC02E]
Gla$S
•0.33
•0.28
0 07
003 WA
WA
S^ Frw mpuuuaan s1 irjfaMcMf, rr--., Jill n • namsten
e>tnvt siana tsvnjMs cio.nJoJ 6? out moa»i m intenasa to support qhc mtasurtnwnt ar>s uttiMi
Figure 20. "Emission factors" section in the "Analysis" sub-tab of the report
• Emissions from Baseline: this table contains the tons managed and the resulting GHG
emission/Energy consumption per relevant material and management practice, as well
as the totals per material, for the baseline scenario.
Materia*
Baseline
Generation
of Material
|Tons|
Baseline
Recycling
(Tons)
CHC Emission*
from Recycling
(MTC02EI
Baseline
Uinofilling
(ions)
CHC Emissions Baseline
from tanufiMng Combustion
(MTC02E) (Tons)
CHC Emissions Baseline CHC Emissions
from Combustion Composting from Composting
IMTC02EI1 ("tens) IMTC02E)
Baseline
Anaero&ic Digestion
(tens)
CMC Emissions
from Anaerobic Oigest»©n
IMTC02EI
tettl
GHG Emissions
IMTC02E)
aw
90 50
nao |
•JO 80
1500
030 000
0 00 NfA WA
r«A
H!A
•20 5/
91 fx# ffirUnalictn GlrraeUiodologp. srir die O • . i " lo ti
d) Emission* lamni pictioaa t>f mis mod#) ar» iroanaeato tuppon .olunur, GHG meacuismeni ana mpcanj innatsna
Figure 21. "Emissions from Baseline" section in the "Analysis" sub-tab of the report
• Emissions from Alternative: it contains the tons handled and the resulted GHG
emission/Energy consumption per relevant material and management practice, as well
as the totals per material, for the alternative scenario.
Baseline
Ge-neratlon
at Material
(tens)
Alternative
Source
Reduction
(Tons)
GHG Emissions
from Source
Reduction
(MTC02E)
Alternative
CHC
Emissions
Alternative
Emissions
Alternative
Emissions
Alternative
Emissions
Alternative
Anaerobic
Digestion
(Tons)
GHG Emissions
from AnaeroWc
Digestion
(MTC02E)
Total
GHC
Emissions
(MTC02E)
Material
Recycling
(tens)
from
Recycling
IMTCOSC)
Uancriltmg
("tens)
from
Lanafillmg
(MTC02E)
Combustion
(tens)
from
Combustion
(IWTC02E)
Composting
(tens)
from
Composting
(MTC02E)
Cilav'i
OOM
to.SO
-8.BZ
7600
-20 7*
600
oto
000
000
H'A
mi
WA
n/a
-2C 16
aleixtanaOoit * m*9to0c • mm Owummutuii
si Emsaioni irtmsKi prMdid 5> ru rrcMt ar« imtnaed K suepcnvohmarj GMO m«uur»m«nt and r ttw>s imMB.ti
Figure 22. "Emissions from Alternative" section in the "Analysis" sub-tab of the report
• Incremental Emissions from Alternative: it contains the differences between the
alternative and baseline scenario regarding tons handled and GHG emissions/Energy
consumption per relevant material and management practice, as well as the total
incremental results per material.
incremental
Incremental
Incremental
Incremental
Incremental
Incremental
Source
CHQ Emissions
from
Source
Reduction
IMTC02E)
Incremental
GHC
Emissions
from
Recycling
1MTC02E)
incremental
GHG
Emissions
lanoniiing
(MTC02E)
incremental
Emissions
Combustion
(MTC02E)
incremenui
GHG
Emissions
Composting
(MTC02E)
Anaerotxc
Digestion
(tens)
GHG Emissions
Dotal
Incremental
CHG Emissions
iMTCOSe)
Material
Reduction
(tens)
Recycling
(tens)
Landfitling
(tens)
Combustion
(tens)
Composting
(tens)
Digestion
(MTC02E)
Glass
to so
-9 52
-060
014
-10 00
-020
000
000
NfA
WA HiA
WA -6*
•istaiuBon at mMDoOQio^r bus Vio ti ¦ >HU OocseiMiaeon
sj Cmssmna *»tmM»* prMOMl e-, tv« irv»d»t v MtnMil b suppen votuntsrf CMC, m»Mijf»m«nt antl rtpuWj initu?.*i
Figure 23. "Incremental Emissions from Alternative" section in the "Analysis" sub-tab of the report
5.3. Report export
All the content of the "Report" tab can be exported as HTML by clicking on the icon of the
toolbar. The exported file can then be opened in any modern web browser. The only difference
12
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WARM Tool User's Guide, March 2018
with the view in the WARM Tool is that the report's sub-tabs, "Summary" and "Analysis", are
included in the exported file as buttons in the top-right of the page.
Waste Reduction Model (WARM)
m Summary Report (MTC02E)
GHG Emissions Analysis - Summary Report
GHG Emissions Wasoc Management Analysis for (organization)
Prepared I* (nam*}
Project Pwtod faf tins Analyse Jfrom) to [to)
Baseline Scenario
Tens Tons Tons Tons
Recycled Landlilled Combusted Composted
M) Fca my&jezMbcn ct melhalotog/ ITt« *
t j r-» oho «^ur> vttuh,
te «f» Ltoij ef SM5 «m*i
'Kv' -*o: w CMC tiv
Summary Repon
TOflS
Recycled
Tans Tons
Combusted Composted
ierobica
Di0CS(«J
-M57
•30 57
Cftmg*
Total (Att-
MTC02E Base)
MTC02E
-2614 -55#
-26.16
tow Change m GMG Kmesjora
-------
WARM Tool User's Guide, March 2018
Waste Reduction Model (WARM)
Summary Report (MTC02E)
Waste Reduction Model (WARM)
GHG Emissions Analysis - Summary Report
GHG Eiwssiom Wfcsle Management Analysa ktf (organisation)
Prepaird bv [urn*}
Project Period tor tins Anaysa (Tram) to {to)
Batelm* Scenario
Tons Ton*
I Combusted Composted
TOOl
AnaeroBleally
Of rrMthKWCrJf 34« TU ti -
ls CW3(J trfTU (T1
supped rttfunlafj OK
man«jtr"itnt coin nan
¦TOST
-2057
netl* tatrut*iJ m Y/ftM inAsrit Pit Ml Mt-qrcle teneMa ws»<«
traia^S Unaains and inc««i< i«Cjtl>f>»l en 4<3uai CHC
» ton^tetm Trnf»ft)ie ere M>oulairK<¦ ¦¦ iiW Jfiu am jr»s»nl»(t « an aiampia orpolKflS
t3jroUtno«i epuvdlwioM can t>» cUculatM uwto WARM (es^iti jlffie
GiawaKusa Cat F iw^aianoas CXatilur *»ai» or using aramaM data sources
Tont
Source
Reduced
Total Change EPA
United States
Environmental Protection
Agency
14
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