# APPENDIX K Indiana Departmentof Environmental Management (IDEM)
- Area Source Inventory Standard Operating Procedure

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# IDEM Area Source Inventory S-006-0AQ-R-MO-08-S-R1 

# Standard Operating Procedure Office: Office ofAirQuality Branch: Air Programs Branch Section: Technical Support and Modeling Section

Revised: 02/27/2008 Revision 

### Cycle:2 years Effective date: 02/15/07 Scope ofoperations This SOP is to identify source categories and develop emissions notcalculated in point source inventories. This data is compiled everythree years as mandated by EPA. Scope ofapplicability This SOP is forthe Senior Environmental Managerand the Environmental Manager in the Emissions Group. 

### Authorized Signatures I approve and authorize this Standard Operating Procedure: Branch Chief Scott Deloney Typed/Printed
Section Chief Ken Ritter Typed/Printed Section QA 

### Contact Michele Boner Typed/Printed
Branch QA Coordinator Chris Pedersen Typed/Printed Author Michele Boner Typed/Printed Signature

Signature
Signature

Signature

Signature Date

Date

Date

Date

Date
This Standard Operating Procedure is consistentwith agency requirements.

Indiana Department of Environmental Management QualityAssurance Program Planning and Assessment Date

### Table ofContents Scope ofoperations 

### 1 Scope of

### applicability 1 Authorized Signatures 

### 1 1. Overviewworkflow chart 

### 3 2. Definitions 

### 3 3. Roles 

### 4 Responsibilities: 

### 4 4. Description ofequipment, forms, and/orsoftwareto be used 

### .4 5. Procedure 

### 4 5.1 Procedural Flowchart 

### 4 

### 5.2 Procedure 5 6. Standards and checklists 

### 24 7. Records 

### Management 24 8. Quality Assurance 

### IQuality Control 24 9. Continuous ImprovementCycle 24 10. References , 

### 24 11. History of 

### Revisions 24 12. Appendices 

### 24



### 2

### 1. Overviewworkflow chart The process described is not partofa largersystem and does not need an Overviewworkflowchart. 

### 2. Definitions AP-42 - Compilation ofAir Pollutant Emission Factors AP-42, Fifth Edition, Volume I: Stationary Point and Area Sources (January 1995) plus Supplements A - F (Updates 2001 - 2004). AP-42 can be obtained atwww.epa.gov/ttn/chief/ap421. Area Sources
- A collection ofsimilaremission unitswithin a geographic area that collectively represent individual sources that are small and numerous and have not been inventoried as a specific point, mobile, or biogenicsource. Authorized
- Established by official authority and usage; as with a policy, standard operating procedure (SOP), orquality assurance project plan (QAPP) that is signed and dated. EIIP (Emission Inventory Improvement Program) -The EIIP is an EPA program established in 1993 to promote the developmentand use ofstandard procedures for collecting, calculating, storing, reporting, and sharing airemissions date. Emission Factors - An emission factor is the estimate ofthe quantity of pollutant released to the atmosphere (because ofsome operation oractivity such as combustion or industrial production) divided bythe level ofthat activity. Process - The term "process" used when describing area sources is used to name an operation or activitythat produces emissions. NEI - National Emission InventoryAir Pollutant Emission Trends, U.S. EPA. Standard Industrial Classification (SIC) Code
- A Standard Industrial Classification code from the series ofcodes devised bythe United States Office of Managementand Budget (OMB) to classify establishments according to the type ofeconomic activity in which they engage. Source Classification Code (SCC)
- Source Classification Code is a process-level code that describes the equipment oroperation emitting pollutants.



### 3

## 3. Roles Title # ofStaff Experience Qualifications Location MS ACCESS, Emission Air Programs Senior Environmental Manager 1 N/A Inventories and familiarity with the EIIP Branch MS ACCESS, Emission Air Programs Environmental Manager 1 N/A Inventories and familiarity Branch with the EIIP 

### Responsibilities:

Senior Environmental Manager Oversees work ofthe Environmental Managerand ensures that all goals are met. The Senior Environmental Manageralso doesthe final upload to the NEI. 

### Environmental Manager The Environmental Managercalculates the Area Source Emissions using the EIIP orother EPA guidance as provided. The Environmental Manager is also responsible for updating the SOP for the Emissions Group. 

## 4. Description ofequipment, forms, and/orsoftware to be used Equipment, Fonn, &lorSoftware Who uses it? Location Senior Environmental Managerand EPA'swebsite: AP42 http://www.epa.gov/ttn/chief/ap421index. Environmental Manager html Emission Inventory Improvement Senior Environmental Managerand EPA'swebsite: http://www.epa.gov/ttn/chief/eiipltechrep Program (EIIP) Environmental Manager ort! National Emission Inventory (NEI) Air Senior Environmental Managerand EPA'swebsite Pollutant Emission Trends, U.S. EPA Environmental Manager http://www.epa.gov/ttn/chiefltrendsl 

## 5. Procedure 5.1 Procedural Flowchart The procedural flowchart belowtitled "Area Source Inventory" is used to calculate non-pointsource inventories. This data is compiled every three years as mandated by EPA. The guidancefollowed is located in the EIIP. Emissionsfrom area sources are calculated atthe county level and consist of individual sources that are small, numerous and that have not been inventoried as specific point, mobile, orbiogenicsources according to the EIIP.

Identify Categories CalculateArea Source**.>-_..:.:YE~S'-+I** categories using the EIIP orother EPA guidance as provided

NO
Then calculate emissions using the SOP for Receiving Emission Statements orthe SOP

for On-Road Mobile Source Invent Enterdata into NEI



### 4

### 5.2 Procedure 

### Category 1: Stationary Fuel Combustion Sub-Category 1.1: Industrial Fuel Combustion SCC: 2102002000,210200400,2102005000, 2102006000,2102007000 Followthese steps when calculating emissions from industrial fuel combustion: 1. Obtain statewide fuel consumption for "Other Industrial" forthe following fuels: coal, distillate oil, natural gas, and liquefied petroleum gas (LPG). Use the Energy Information Administration's website at http://www.eia.doe.gov/ to find fuel consumption.
Note: As ofthe date ofthis SOP, the following steps will lead to data forfuel consumption.
a. Goto http://www.eia.doe.gov/ b. Click on linkforthe various types offuel consumption c. Click on consumption tab forstate totals 2. To avoid double calculating the various fuel combustions, subtract reported source totals from the total statewide fuel consumption by querying the total process rates forthe various SCC codes using the ACCESS data tables at K:\OAQ_INV\SteptooI\StptL02.mdb. The remaining number is the area source fuel consumption forthe state. 3. To distribute the remaining fuel to the county level, calculate the ratio ofcounty to state employment forthe manufacturing sector by diViding the numberofManufacturing Employees for each county by the numberof manufacturing employees statewide. Use the County Business Patterns website at http://www.census.gov/ to find the numberof manufacturing employees foreach county. Note: As ofthe date ofthis SOP, the following steps will lead to data for Economic Census.
a. Go to http://www.census.gov/ b. Click on Economic Census c. Under2002 Reports by State, use the down arrow key to select Indiana d. Now, select each ofthe counties to find the county manufacturing employees e. Use the total ofemployees for manufacturing underthe paid employees' column 4. Multiplythe ratio calculated above in step 3 bythe area source fuel consumption to distribute the fuel to the county level. The remaining number is the process rate for each county. Multiplythe process rate by the appropriate EPAemission factors forthevarious fuels for industrial manufactUring found in AP-42, Fifth Edition, Volume 1, Chapter 1, External Combustion Sources at http://www.epa.gov/ttn/chief/ap42/ch01/. 

### Sub-Category 1.2: Commercial/Institutional Fuel Combustion SCC: 2103004000,2103005000, 2103006000, 2103007000 Followthese steps when calculating emissions from commercial/institutional fuel combustion: 1. Obtain statewide fuel consumption for "Commercial" forthe following fuels: distillate fuel oil, liquefied petroleum gas (LPG), natural gas, and residual fuel oil. Use the Energy Information Administration's website at http://www.eia.doe.gov/to find fuel consumption. Note: Use the steps in sub-category 1.1-1 to navigatethrough the Energy Information Administration's website.



### 52. To avoid double calculating the various fuel combustions, subtract reported source totals from the total statewide fuel consumption by querying the total process rates forthe various fuels using the SIC codes greaterthan 4999 using the ACCESS data tables at K:\OAQ_INV\Steptool\StptL02.mdb. These are the SIC codes that identify all the commercial/institutional area sources. 3. To distributethe remaining fuel to the county level, calculate the ratio ofcountyto state employment forthe commercial/institutional sector by dividing the numberofcommercial/institutional employees for each county bythe numberofcommercial/institutional employees statewide. Use the County Business Patterns website at http://www.census.gov/to find the numberofcommercial/institutional employees for each county. Note: Use the steps in sub-category 1.1-3to navigate through the U.S. Census Bureau's website. 4. Multiplythe ratio calculated above in step 3 bythe area source fuel consumption to distributethe fuel to the county level. The remaining number isthe process rate foreach county. Multiplythe process rate bythe appropriate EPA emission factors forthe various fuels forcommercial/institutional found in AP-42, Fifth Edition, Volume 1, Chapter 1, External Combustion Sources at http://www.epa.gov/ttn/chief/ap42/ch01/.

Sub-Category 

### 1.3: Residential Fuel Combustion SCC: 2104002000,2104004000,2104006000, 2104007000 Followthese steps when calculating emissions from residential fuel combustion: 1. Obtain statewide fuel consumption for "Residential" forthe following fuels: coal, distillate oil, natural gas, and liquid petroleum gas. Use the Energy Information Administration's website at http://www.eia.doe.gov/to find fuel consumption. Note: Use the steps in sub-category 1.1-1 to navigate through the Energy Information Administration's website. 2. To distribute residential fuel to the county level, calculate the ratio ofcountyfuel usage to statewide fuel usage using the breakdown offuels by household percounty divided bythe breakdown offuels by household perstate using the U.S. Census Bureau'swebsite at http://www.census.gov/

. Note: As ofthe date ofthis SOP, the following steps will lead to data for breakdown offuels by household.
a. Go to http://www.census.gov/ b. On the left hand side click on "American Fact Finder" c. Using the drop down menu, click on Indiana d. Scroll to "Housing Characteristics" and select "show more" e. On the left hand side, select "change geography (state, county, place

...)" f. Using the drop down menu, select county, state, and each county name to obtain housing

information 3. Multiplythe ratio calculated above in step 3 by the area residential fuel use by state to distribute the fuel to the county level. The remaining numberisthe process rate for each county forthe various fuels. Multiplythe process rate by the appropriate EPAemission factors forthe various fuels for residential found in AP-42, Fifth Edition, Volume 1, Chapter 1 External Combustion Sources at http://www.epa.gov/ttn/chief/ap42/ch01/.



### 6

### Sub-Category 1.4: Residential Heating Using Wood SCC:2104008001,2104008002,2104008003,2104008004,2104008010,2104008030,2104008050 Followthese steps when calculating emissions from residential heating using wood: 1. Obtain statewide wood consumption for "Residential" using the Energy Information Administration's website at http://www.eia.doe.gov/. To convertthe statewide wood consumption from cords ofwood consumed to tons, mUltiply the total cords consumed by 1.25. Note: As ofthe date ofthis SOP, the following steps will lead to data for wood consumption.
a. Go to http://www.eia.doe.gov/ b. Click on Households, Buildings & Industry c. Under Consumption Summaries, click on "Annual" d. Now, overto the right click on "State Energy" e. Using the drop down menu atthe bottom, select "Indiana" f. Under"Consumption" click on the "Residential" document 2. Using the ratio estimates provided by EPAfound in the "Documentation ForThe Final 2002 NONPOINT SECTOR (FEB 06 version) NATIONAL EMISSIONS INVENTORY FOR CRITERIAAND HAZARDOUS AIR POLLUTANTS" at http://www.epa.gov/ttn/chief/net/2002inventory.html#documentaiton the numbercalculated above in step 1 is broken out into three categories (fireplace without inserts, fireplaces with inserts and woodstoves). 3. To distribute to the county level forthe three categories above, calculate a ratio ofcounty to state using the statewide total of households and the county total of households that bum wood found at the U.S. Census Bureau website http://www.census.gov/. The remaining number is the process rate for each county. Multiply the process rate by the appropriate EPA emission factors for each ofthe categories using the EIIP, Volume 3, Chapter2, Residential Wood Combustion at http://www.epa.gov/ttn/chief/eiip/techreportlvolume03/iii02 apr2001.pdf. Note: Use the steps in sub-category 1.3-2 to navigate through the Energy Information Administration's website. 

### Category 2: Industrial Processes Sub-Category 2.1: SCC: 2302050000 

### Bakeries

Followthese steps when calculating emissions from bakeries: 1. Calculate a percapita consumption factor using the reported weight ofyeast-raised product reported underthe Bread, Cake, and Frozen Bakery Products from the Economic Census Bureau at http://www.census.gov/econ/census02/ and the U.S. population atthe U.S. Census Bureau at http://census,gov/. Note: As ofthe date ofthis SOP, the following steps will lead to data foryeast-raised product.
a. Go to http://www.census.gov b. Under Business & Industry open "Economic Census" c. Nowopen "Subject Series" d. Under Manufacturing, open the table "Product Summary" e. Use the yeast - raised product under Commercial Bakeries (NAICS code 311812) and Frozen cakes, pies, and other pastries manufacturing (NAICS code 311813)


### 72. Multiplythe percapita consumption factorcalculated above in step 1 by the Indiana population found atthe U.S. Census Bureau at http://www.census.gov. Note: As ofthe date ofthis SOP, the following steps will lead to Indiana population data.
a. Go to http://www.census.gov b. Under Population Finder, use the drop down menu to select Indiana 3. To avoid double calculating the amount consumed forthe state, subtract the reported process rate for both the straight-dough and sponge-dough by querying the total process rates forthe SCC 30203202 (straight-dough) and SCC 30203201 (sponge-dough) using the ACCESS data tables at K:\OAQ_INV\Steptool\StptL02.mdb. 4. Multiplythe remaining process rate by the straight-dough emission factor of .5 Ibs VOC/1,OOO pounds baked found in the EIIP, Volume 3, Area Source Method Abstracts: Baked Goods at Commercial/Retail Bakeries at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html. 

### 5. Calculate a percapita factor by dividing the Indiana population found in step 2 by the remaining process rate. Now multiply the percapita factor by each ofthe county populations to calculate the VOC emissions for each county. Note: As ofthe date ofthis SOP, the following steps will lead to county population data.
a. Go to http://www.census.gov b. Under Population Finder, use the drop down menu to select Indiana c. Under"View more results", selectthe county table 

### Category 3: Solvent Utilization Sub-Category 3.1: Architectural Coatings SCC: 2401001000 Followthese steps when calculating emissions from architectural coatings: 1. Calculate an emission factorforarchitectural coating area sources first by adding all the solventbased paints togetherand all the water based paints together using the U.S. Census Bureau's website http://www.census.gov. Use Table 1 to select all solvent-based paints and Table 2 to select all water based paints. Table 1 Nt' lSI tC t' SI

alona oven oa InQ aes SolventType 1,000 gallons Exterior SolventType 

### XX InteriorSolventType 

### XX Architectural Lacauers 

### XX Architectural Coating N.S.K. 

### XX Total Solvents 

### XX Table 2 

### N' IW B C S I

atlona ater ased oatlnO aes 

### WaterType 1,000 gallons ExteriorWaterType 

### XX InteriorWaterType 

### XX Total WaterType 

### XX Note: As ofthe date ofthiS SOP, the following steps will lead to architectural coating data. 

### 8a. Goto http://www.census.gov b. Under Business 

### & Industry, select more c. Now select Current Industrial Reports (CIR) d. Select CIRs by Subject e. Tab down to find the report "Paints and Allied Products" 2. Now mUltiply the total national numberfor solvent-based paints by the average solvent-based coating content number (3.87 Ibs VaC/gallon) and the total national numberforwater-based paints by the average water-based coating content number (0.74 Ibs VaC/gal) found in the EIIP. Volume 3, Chapter 3: Architectural Surface Coating at http://www.epa.gov/ttn/chief/eiip/techreportlvolume03/archsfc.pdf. 3. Add the total solvent-based coatings and the water-based paints togetherfora total national vac emission factorfrom architectural surface coating. Then divide this number by the total national population using the U.S. Census Bureau's website http://www.census.gov. 4. Multiplythe numbercalculated above in step 3 by each ofthe county populations to calculate the total emissions percounty. Note: Use the steps in sub-category 2.1-5 to navigate through the Census Bureau's website. Sub-eategory 

### 3.2: SCC: 2401005000 Automobile Refinishing

Followthese steps when calculating emissions from automobile refinishing: 1. To avoid double calculating, first querythe employees from the reported sources using the SIC 7532- Body Repairand Paint Shops using the ACCESS data tables at K:\aAQ_INV\Steptool\StptL02.mdb. Subtractthis numberfrom the county employmentforthe same SIC using the U.S. Census Bureau's website http://www.census.gov. Note: As ofthe date ofthis sap, the following steps will lead to county employment data.
a. Go to http://www.census.gov b. Under Business & Industry, select more c. Now selectthe County Business Patterns report for county d. Select Indiana e. Select each ofthe counties to find the numberofemployees forthe corresponding SIC or NAICS code 2. MUltiplythe emission factor 3,5191bs VaC/employee found in the EIIP. Volume 3, Chapter 13Auto Body Refinishing at http://www.epa.gov/ttn/chief/eiip/techreportlvolume03/archsfc.pdfand the county employmentfound above in step 1 to calculate the vac emissions for each county. Sub-Category 

### 3.3: SCC: 2401008000 Traffic Markings

Followthese steps when calculating fortraffic markings: 1. First calculate the national emissions by finding the amount of sales fortraffic marking paints from the U.S. Census Bureau's website http://www.census.gov and mUltiply 3.361b VaC/gallon the national average vac content forwaterand solvent-based paints from the EIIP, Volume 3, Chapter 14, Traffic Markings at http://www.epa.gov/ttn/chief/eiip/techreportlvolume03/iii14.pdf. Note: As ofthe date ofthis sap. the following steps will lead to traffic marking paints. 

### 9a. Go to http://www.census.gov b. Under Business & Industry, select more c. Nowselect Current Industrial Reports (CIR) d. Select CIRs by Subject e. Tab down to find the report "Paints and Allied Products" f. Use the quantity amount in 1000/gallons under''Traffic marking paints (all types: shelfgoods and

highway department) 2. Allocate the national emissions calculated above in step 1 to the state level by dividing the amount of money spent in Indiana bythe money spent nationally on highway maintenance using the category "Total Disbursements" atthe Federal HighwayAdministration's website http://www.fhwa.dot.gov/policy/ohim/hs04/htm/sf2.htm. 3. Calculate the emission factorfor Indiana by dividing the state level emissions bythe total numberof roadway miles in Indiana, given by contacting the Program Development Division, Highway Statistics, Indiana Department ofTransportation orthe Office ofAir Quality, Technical Supportand Modeling Section's mobile inventory preparer. 4. MUltiplythe emission factor by the total numberof roadway miles in each county using the information supplied from above in step 3. Sub-Category 

### 3.4: Industrial Surface Coating (employment based emission factor) SCC:2401015000,2401020000,2401030000,2401040000,2401045000,2401055000,2401060000, 2401065000,2401070000,2401075000,2401080000 Followthese steps when calculating for industrial surface coating using the employment based emission factor: 1. Calculate an employee based emission factorforthe following SIC's in the table below running a query to find the point source employmentfor each ofthe SIC's and the reported VOC emissions foreach uSing the ACCESS data tables at K:\OAQ_INV\Steptool\StptL02.mdb.
SCC Description SIC's 2401015000 Factory Finished Wood 2426-2429,243-245, 2492, 2499 2401020000 Wood Furniture 25 2401030000 PaperCoating 26 2401040000 Metal Cans * 341 2401045000 Metal Coils * 3479 2401055000 Machinery and Equipment 35 2401060000 Appliances * 363 2401065000 Electronicand Other Electrical 3612,3357 2401070000 New MotorVehicles ** 3711 2401075000 OtherTransportation 37 (not3711, 373) 2401080000 Marine Coatings 373

* Use the National default emission factor because the reporting sources are low. ** Emissions reported in pointsource 102. Divide the reported

## vec emissions foreach ofthe SIC's bythe reported employmentforeach SIC. Use this numberforthe emission factor. 3. Subtractthe numberof reported employees found in step 1 from each ofthe SIC county totals using the U.S. Census Bureau'swebsite http://www.census.gov. Use the remaining numberforthe process rate for each ofthe counties. Note: Use the steps in sub-category 3.2-1 to navigatethrough the County Business Patterns. 4. Multiplythe process rates above found for each ofthe SIC's in step4 by the emission factors found in step 3to allocate the emissions to each ofthe counties. 

### Sub-Category 3.5: Industrial Surface Coating (defaultemission factor) SCC:2401090000,2401100000,2401200000 Followthese steps when calculating emissions from industrial surface coating using the defaultemission factor: 1. Calculate industrial surface coating emissions using the defaultemission factor in the EIIP, Volume 3, Chapter 8, Industrial Surface Coating at http://www.epa.gov/ttn/chief/eiip/techreporUvolume03/iii08.pdf and multiply by the county populations found atthe U.S. Census Bureau's website http://www.census.gov. Note: Use the steps in 2.1-5 to navigate through U.S. Census Bureau'swebsite. 

### SCC's Description Default Emission Factor 24-01-090-000 Miscellaneous Manufacturing 0.600 Ibs VaC/person 24-01-100-000 Industrial Maintenance Coatings 0.800 IbsVaC/person 24-01-200-000 atherSpecial Purpose Coatings 0.800 Ibs VaC/person 

### Sub-Category 3.6: Degreasing SCC: 2415230000,2415245000,2415345000, 2415360000 Followthese steps when calculating emissions from degreasing activities: 1. Use the U.S. Census Bureau to find employment numbersfor each ofthe counties forthe categories in Table 1 belowat http://www.census.gov.

11Note: Use the steps in 2.1-5 to navigate through U.S. Census Bureau'swebsite. Source Classification Codes and Industries Associated with Degreasing SCC SIC Description 2415230000 36 Electronicand otherelectronicequipment 25 Furniture and fixtures 33 Primary metal industries 34 Fabricated metal products 35 Industrial machinerv and eauioment 37 Transportation eauioment 38 Instruments and related oroducts 39 Miscellaneous manufacturina industries 2415245000 417 Bus Terminal and Service Facilities 423 Truckina terminal facilities 551 Newand used cardealers 552 Used cardealers 554 Gasoline service stations 555 Boat dealers 556 Recreational vehicle dealers 753 Automotive repairshops 25 Furniture and fixtures 33 Primarv metal industries 2415345000 34 Fabricated metal products 35 Industrial machinery and equipment 36 Electronicand otherelectronic equipment 37 Transportation eauipment 2415345000 cont. 38 Instruments and related products 39 Miscellaneous manufacturing industries 417 Bus Terminal and Service Facilities 423 Trucking terminal facilities 551 Newand used cardealers 2415360000 552 Used cardealers 554 Gasoline service stations 555 Boat dealers 556 Recreational vehicle dealers 753 Automotive repairshops 2. Run a queryto find reported employment numbers foreach ofthe categories in the table above using the ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb. 3. Subtractthe reported employmentfrom the U.S Census Bureau's numbers to find the process rates for each ofthe counties. 4 Calculate the VOC emissions by multiplying the defaultemission factor in the EIIP, Volume 3, Chapter6, Solvent Cleaning at http://www.epa.gov/ttn/chief/eiip/techreporVvolume03/iii06fin.pdf and the process rate for each ofthe counties found in step 3. Sub-Category 

### 3.7: SCC: 2420010370 Dry Cleaners

Followthese steps when calculating emissions from dry cleaners: 1. Calculate an emission factor byfinding the numberofemployees state wide and countywide for SIC 7216(Laundry and Garment Services) atthe U.S. Census Bureau's website http://www.census.gov. Note: Use the steps in 2.1-5 to navigate through U.S. Census Bureau's website 2. Take the sum ofthe employmentfrom the counties, multiply by 2000, and divide bythe statewide total found in step 1. Use this numberforthe emission factor. 123. Calculate the process rate by running a queryto find the numberof reported employees for SIC 7216 using the ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb and subtractthis numberfrom the countytotal. 4. Multiplythe process rate for each ofthe counties above bythe emission factorto calculate forVOC emissions.
Sub-Category 

### 3.8: SCC: 2425000000 Graphic Arts

Followthese steps when calculating emissions from graphicarts activities: 1. Multiplythe percapita factorfound in the EIIP, Volume 3, Chapter7, GraphicArts at http://www.epa.gov/ttn/chief/eiip/techreporUvolume03/iii07.pdfbythe state population from the Census Bureau http://www.census.govto find the total emissions forthe state. Note: Use the steps in 2.1-2 to navigate through the U.S. Census Bureau's website. 2. Develop an emission factor by subtracting point source emissions from the total emissions and dividing by the state popUlation found in step 1. 3. Distribute to the counties by multiplying the emission factor bythe population for each county. Note: Use the steps in 2.1-5 to navigate through the U.S. Census Bureau'swebsite. Sub-Category 

### 3.9: SCC: 2430000000 Rubberand Plastics

Followthese steps when calculating emissions from rubber and plastics activities: 1. Run a queryto find the total of reported emissions and numberof reported employees for all SIC's beginning with 30 using the ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb. 2. Calculate the emission factor by dividing the pointsource emissions bythe reported employees. 3. Subtractthe reported employmentfor SIC's beginning with 30 from total employmentfor each ofthe counties. Note: Use step 3.2-1 to navigatethrough the County Business Patterns. 4. Multiplythe remaining numberfrom above with the emission factor calculated in step 2. Sub-Category 

### 3.10: Miscellaneous Industrial Adhesives SCC: 2440020000 Followthese steps when calculating emissions from industrial adhesives activities: 1. Using the guidance in the Air Pollutant Emission Trends at http://www.epa.gov/ttn/chief/trends, calculate an emission factor by finding the total National Emissionsfrom Industrial Adhesives and divide bythe National Manufacturing Employmentfrom the U.S. Census Bureau'swebsite http://www.census.gov.

13Note: As ofthe date ofthis SOP, the following steps will lead to emission trends data for industrial adhesives.
a. Go to http://www.epa.gov/air/airtrends/agtrnd03/ b. Select "AppendixA -Data Tables" c. Search for industrial adhesives Note: As ofthe date ofthis SOP, the following steps will lead to National Manufacturing Employment.
a. Go to http://www.census.gov b. Select Economic Census c. Now select "Businesses with paid employees" d. Use the manufacturing number under "paid employees" 2. To avoid double calculating, run a query collecting sources reporting adhesives using the ACCESS data tables at K:\OAQJNV\Steptool\StptL02.mdb. Subtractthe reported employmentfrom the total amount of manufacturing employment. The remaining numberis the process rate. 

### Sub-Category 3.11: Commercial/ConsumerSolvents SCC:2460100000,2460200000,2460400000,2460500000,2460600000,2460800000,2460900000 Followthese steps when calculating emissions from commercial/consumersolvent usage: 1. Using the EIIP, Volume 3, Chapter5, Consumer, and Commercial Solvent Use at http://www.epa.gov/ttn/chief/eiip/techreporUvolume03/iii05.pdf, multiplythe percapita factors for each of SCC codes bythe population foreach county from the U.S. Census Bureau'swebsite http://www.census.gov. Note: Use the steps in 2.1-5 to navigate through the U.S. Census Bureau's website. Emission Factors for Commercial/ConsumerSolvents Source Classification Codes ProductCategory PerCapita Emission Factor (IbVQC/person) 2460100000 Personal Care Products 2.32 2460200000 Household Products 0.79 2460400000 AutomotiveAftermarket Products 1.36 2460500000 Coatings and Related Products 0.95 2460600000 Adhesives and Sealants 0.57 2460800000 FIFRA-Regulated Products 1.78 2460900000 Miscellaneous Products 0.07 

### Sub-Category 3.12: Asphalt Emulsions SCC: 2461022000 Followthese steps when calculating emissions from asphalt emulsions: 1. To calculate the process rate, find the numberof barrels ofasphalt used forthe state found atthe State Energy Data website at http://www.eia.doe.gov/emeu/states/sedsupdates.html.

142. Obtain the amount of roadway miles forthe state and county from the Indiana Departmentof Transportation's, Division of Roadway Management Section. 3. Divide the county roadway miles bythe state roadway miles and multiply by the total asphalt usage for the state found above in step 1. 4. Multiplythe process rate bythe default emission factor in the EIIP, Volume 3, Chapter 17, Asphalt Paving http://www.epa.gov/ttn/chief/eiip/techreporVvolume03/iii17 apr2001.pdf. 

### SUb-Category3.13: Pesticide Usage SCC: 2461800000 Followthese steps when calculating emissions from pesticide usage: 1. Calculate pesticide usage by using a state specific emission factor. Developthe factor using a methodologythat includes the retrieval of information of pesticides used, an emission factorfor each pesticide used, a calculation aboutthe inert ingredients in each pesticide, and an estimate ofthe amount ofcrop oil concentrate (an adjuvant used forthe application of herbicides) used in the state of Indiana. 2. Find the amountofactive ingredients for herbicides and insecticides applied to Indiana fields atthe Indiana Agricultural Statistics Service at http://www.usda.gov/nass/pubs/agr02Iacro02.htm. 3. Insertthe numbers for both corn and soybeans to the Excel pesticide table found at K:OAQ_INV\lnv\pesticide. 4. Calculate the emission factor by adding the emissions from crop oil concentrates obtained in the pesticide Excel table, pesticides, and solvent carriers and then divide by the total numberofacres of corn and soybeans in Indiana found atthe National Agricultural Statistics Services, United States DepartmentofAgriculture http://www.nass.usda.gov/QuickStats/. 5. Multiplythe emission factor bythe county-specific acreage for both corn and soybeans found atthe National Agricultural Statistics Services, United States DepartmentofAgriculture http://www.nass.usda.gov/QuickStats/. 

### Category4: Petroleum Marketing Followthese steps when calculating emissions for bulkterminals: 

### Sub-Category4.1 : SCC: 2501050120 

### BulkTerminals

1. Find the amount ofgasoline sold in Indiana atthe Federal HighwayAdministration, U.S. Department ofTransportation http://www.fhwa.dot.gov/policy/ohim/hs04/htm/mf21.htm. 2. Find the amount ofgasoline sold statewide and by county using, the NAICS code 447-Gasoline Service Station from the U.S. Census Bureau's, Economic Census at http://www.census.gov/econ/census02/datalin/IN00044.HTM#N447. 3. Run a queryto find the amount of point source reported gasoline using the ACCESS data tables at K:\OAQ_INV\Steptool\StptL02.mdb and subtractfrom the amountsold statewide. Use this to allocate to each county. 4. Allocate the amount gasoline sold to each ofthe counties by dividing the amount ofsales in each county by statewide sales and multiplying bythe numberofgallons sold statewide found above in step 1. 155. EPA guidance suggests that only25% ofall gasoline consumed goesthrough bulk plants. To calculate process rate, mUltiply each county by25% to estimate the amount offuel transferred through bulkterminals. 6. Multiply process rate bythe emission factors in the table below:

Emission Factors Source Emission Factor (Ib VOC/1000) gal Storage Tanks Breathing Loss 5.0 Storage TankWorking Loss - Filling 9.6 Storage TankWorking Loss - Emptying 3.8 Gasoline Loading Racks 11.9 (Vapor balance controlled) (0.3) Total 30.3 7. Bulkterminals also have controls setforth in the Indiana rule (326 lAC 8-4). This rule says that any source ofthis type that is newafterJanuary 1, 1980 is required to make sure that anytransfer between a tank and transport uses a submerged pipe vapor balance system. Using EPA's default rule effectiveness, multiplythe number in step 2 bythe Control Efficiency (CE) 38%, a Rule Effectiveness (RE) of80%, and a Rule Penetration (RP) of 13%, Le. process rate X emission factorX (1-(CE x RE x RP)) X 1 ton/2000 Ib 

### = VOC tons. Sub-Category

### 4.2: Portable Fuel Containers SCC: 2501011011,2501011012,2501011016, 2501012011,250101 2012,2501012016 Followthese steps when calculating emissions for portable fuel containers: 1. Calculate the emissions for Commercial and Residential gas cans by using the method developed by the California Environmental Protection Agency's document Public Meeting to ConsiderApproval of California's Portable Gasoline-Container Emissions Inventory. Use the excel spreadsheetfound at K:\OAQ_INV\lnv\Area Source\Gasoline.zip to calculate the emissions for permeation, diurnal, and transport. Both the Spillage and Vapor losses are estimated in the nonroad emissions inventory by EPA models. 2. Using the survey results below in Table 1, estimate the numberoffuel containers in the state for residential categories. The calculations are set up in an excel spreadsheet at K:\OAQ_INV\lnv\Area Source\Gasoline.zip\2501 01\GasCans.xls, insert the numberofoccupied housing, from the U.S. Census Bureau's website at http://www.census.gov/, in the space marked "households". Note: As ofthe data ofthis SOP, the following steps will lead to numberof households in Indiana.
a. Go to http://www.census.gov/ b. On the left hand side selectAmerican Factfinder c. Nowselect housing d. Under"Occupancy Status", select occupies housing units e. Now use the drop down menu and select Indiana

16Table 1 Residential Survey Results Percentage ofhouseholdswith at leastone gas can 46% Numberofgas cans per household 1.8 Percentage ofplasticcans/metal cans 76%/24% Weighted averagegas can capacity (gal) 2.34 Percentage ofgas cans stored with fuel 70% Weighted average stored fuel volume (% ofcapacity) 49% Percentage ofall gas cans that are plasticand stored open/dosed 23%/53% Percentage ofall gas cans that are metal and stored open/dosed 11%/13% Percent ofall cans stored open/dosed 34%/66% 3. Using the survey results below in Table 2, estimate the numberoffuel containers forcommercial categories forthe state. Do this by using the commercial population based on the numberof identified businesses in Table 3 and insert into the excel spreadsheet at K:\OAQ_INV\lnv\Area Source\ Gasoline.zip\2501 01\GasCans.xls. Table 2 Commercial Survey Results

Percentage ofbusinesses with at leastone gas can 80% Numberofgas cans perbusiness 6.9 Percentage ofplasticcans/metal cans 72%/28% Weighted average gas can capacity (gal) 3.43 Weighted average stored fuel volume (% ofcapacity) 49% Percentage ofall gas cans that are plasticand stored open/closed 39%/33% Percentage ofall gas cans that are metal and stored open/dosed 10%/18% Percentofall cans stored open/dosed 49%/51% Table 3 Category NAICS Agricultural 115 Automotive Club and Towing Services 48841 Service Stations 8111 Lawn and Garden Maintenance Services 81141 General Contractors 23 Construction and Rental Yards 5324 Landscaping Services 561730 4. Calculate permeable emissions separatelyfor both residential and commercial by using the emission rates given in the California document. Use 1.57g/galldayfor plastic containers and 

### 0.6g/gal/dayfor metal containers. Insertthe numbers for both residential and commercial into the excel spreadsheet at K:\OAQ_INV\lnv\Area Source\Gasoline.zip\2501 01 \GasCans.xls. 5. Calculate diurnal emissions by inserting the numbers for both residential and commercial intothe excel spreadsheet at K:\OAQ_INV\lnv\Area Source\Gasoline.zip\250101\GasCans.xls. 6. Calculate transport spillage emissions by inserting the numbers for both residential and commercial into the excel spreadsheet at K:\OAQ_INV\lnv\Area Source\Gasoline.zip\250101\GasCans.xls

17

### Sub-Category4.3: Service Station Tank Loading orTankTruck Unloading (Stage 1) SCC: 2501060052 (uncontrolled), 2501060053 (controlled) Followthese steps when calculating emissions from tank loading and unloading 1. Find the amount ofgasoline sold in Indiana atthe Federal HighwayAdministration, U.S. Departmentof Transportation http://www.fhwa.dot.gov/policy/ohim/hs04/htm/mf21.htm. 2. Find the amount ofgasoline sold statewide and countywide by using the NAICS code 447-Gasoline Service Station from the U.S. Census Bureau's, Economic Census at http://www.census.gov/econ/census02/dataiin/IN00044.HTM#N447. 3. Run a queryto find the amount of point source reported gasoline using the ACCESS data tables at K:\OAQ_INV\Steptool\StptL02.mdb and subtractfrom the amountsold statewide. Use this to allocate to each county. 4. Allocate the amount sold to each ofthe counties by dividing the amount ofsales in each county by statewide sales and multiplying bythe numberofgallons sold statewide found above in step 1. 5. Find the amount ofgasoline tanks from the Underground Storage Tankdata files from the Office of Land Quality, Indiana Departmentof Environmental Management http://www.in.gov/idem/programslland/ust/ust.html. 6. Now copy the data into an Excel spreadsheet. Filterfinding the tanks that have only gasoline. Also filter outthe tanks that are "permanently out ofservice", "suspended per inspection", and "unregulated"

. 7. Using the Petroleum Sources Applicability Rule 326 lAC 8-4-1, filter outthe tanks that are located in Clark, Boone, Dearborn, Elkhart, Floyd, Hamilton, Hancock, Harrison, Hendricks, Johnson, Lake, Marion, Morgan, Porter, Saint Joseph, and Shelby counties. 8. To find the amount of balanced tanks in Indiana, use the total ofgasoline tanks found in step 7 and divide bythe numberoftanks that constructed after 1985through currentyear. Use the spreadsheet created in step 7 and filter outthe tanks that constructed priorto 1985. 9. Nowapplythe percentage found in step 8 to the amount ofgasoline found in each county. 10. Apply the controlled emission factorto onlythose counties identified in 326 lAC 8-4, Le. Boone, Clark, Dearborn, Elkhart, Hamilton, Hancock, Harrison, Hendricks, Johnson, Lake, Marion, Morgan, Porter, SaintJoseph, and Shelby. Use the emission factors for stage 1 controlled and uncontrolled in the EIIP, Volume 3, Chapter

### ii, Gasoline Marketing (Stage 1 and Stage 2) http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii11 apr2001.pdf. 

### Sub-Category4.4: Vehicle Fueling (Stage II)
- Vapor Displacement SCC: 2501060101 (uncontrolled), 2501060102 (controlled) Followthese steps when calculating emissions from vehicle fueling
- Vapor Displacement: 1. Find the amount of gasoline sold in Indiana atthe Federal HighwayAdministration, U.S. Department ofTransportation http://www.fhwa.dot.gov/policy/ohim/hs04/htm/mf21.htm. 2. Find the amount of gasoline sold statewide and by county using the NAICS code 447-Gasoline Service Station from the U.S. Census Bureau's, Economic Census at http://www.census.gov/econ/census02/data/in/IN00044.HTM#N447.

18

### 3. Allocate the amount sold to each ofthe counties by dividing the amountofsales in each county by statewide sales and multiplying bythe numberofgallons sold statewidefound above in step 1. 4. Calculate an emission factor using the inputfiles supplied from the mobile model. Table 1 and Table 2 showexamples of howthe emission factors forJanuaryand Julyforthe Southern Countieswere calculated. By using these two months, the othermonths are distributed. Usethe average ofall months forthe emission factorforthe Southern counties. Usethe same methodologyforthe Northern counties, Central Counties, Clark/Floyd, and Lake/Porter.
Table 1 

### January Run forSouthernCounties VTYPE GM_MILE MILES MPG VMT G/GAL Month Factor 1 0.0628 29.4642 23.89 0.463793 0.322719 1 1.01 2 0.1058 35.2923 18.77 0.070491 0.009868 2 1.14 3 0.1058 35.2923 18.77 0.234672 0.109364 3 1.28 4 0.1486 34.0851 14.31 0.071379 0.010834 4 1.41 5 0.1486 34.0851 14.31 0.032825 0.002291 5 1.55 6 0.2152 35.8919 9.88 0.028896 0.001775 6 1.69 7 0.2342 32.3617 9.08 0.001027 2.24E-06 7 1.82 8 0.2465 19.9098 8.63 0.000522 5.8E-07 8 1.69 9 0.2719 27.6093 7.82 0.001164 2.88E-06 9 1.55 10 0.2733 27.4686 7.78 0.002489 1.32E-05 10 1.41 11 0.2972 24.3758 7.15 0.001132 2.72E-Q6 11 1.28 12 0.3169 23.6257 6.71 0.000004 3.4E-11 12 1.14 25 0.3421 27.2301 6.22 0.000496 5.23E-Q7 Sum 16.97 0.456873 glgal Average 1.41 1.007222 Ib/E3gai

VTYPE 

### 1 2 

### 3 4 

### 5 6 

### 7 8 9 10 

### 11 12 25 Table 2 July Run for Southern Counties GM_MILE MILES MPG VMT G/GAL 0.1144 29.1752 23.9 0.456768 0.570447 0.1955 34.8826 18.75 0.071404 0.018689 0.1955 34.8826 18.75 0.237712 0.207133 0.2882 33.944 14.3 0.072838 0.021865 0.2882 33.944 14.3 0.033496 0.004624 0.4164 35.8288 9.9 0.029201 0.003515 0.4529 32.4716 9.1 0.001038 4.44E-06 0.4763 19.6757 8.66 0.000509 1.07E-06 0.5264 27.4602 7.83 0.00116 5.55E-06 0.5283 27.3328 7.8 0.002482 2.54E-05 0.5749 24.2458 7.17 0.001122 5.19E-06 0.6128 23.3718 6.73 0.000004 6.6E-11 0.6629 27.2301 6.22 0.000485 9.7E-07 0.826316 glgal 1.821697 Ib/E3gai
5. Multiplythe process rate in step 4 bythe emission factorfound in the mobile model.

19Sub-Category

### 4.5: SCC: 2501060103 Vehicle Fueling (Stage II) - Spillage

Followthese steps when calculating emissions from vehicle fueling
- Spillage: 1. Find the amount ofgasoline sold in Indiana atthe Federal HighwayAdministration, U.S. Department ofTransportation http://www.fhwa.dot.gov/policy/ohim/hs04/htm/mf21.htm. 2. Find the amount ofgasoline sold statewide and by county using the NAICS code 447-Gasoline Service Station from the U.S. Census Bureau's, Economic Census at http://www.census.gov/econ/census02/data/in/IN00044.HTM#N447. 3. Allocate the amountsold to each ofthe counties by dividing the amount ofsales in each county by statewide sales and multiplying bythe numberofgallons sold statewide found above in step 1. 4. Apply the emission factor 0.7 IbVOC/1000 gallons in AP-42, Fifth Edition, Volume 1, Chapter5, Petroleum Industry, Transportation, and Marketing of Petroleum Liquids http://www.epa.gov/ttn/chief/ap42/ch05/final/c05s02.pdftothe process rate found in step 4. Sub-Category

### 4.6: SCC: 2501060200 Underground Tank Breathing

Followthese steps when calculating emissions from underground tank breathing: 1. Find the amount ofgasoline sold in Indiana atthe Federal HighwayAdministration, U.S. Department ofTransportation http://www.fhwa.dot.gov/policy/ohim/hs04/htm/mf21.htm. 2. Find the amount ofgasoline sold statewide and by county using the NAICS code 447-Gasoline Service Station from the U.S. Census Bureau's, Economic Census at http://www.census.gov/econ/census02/datalin/IN00044.HTM#N447. 3. Allocate the amountsold to each ofthe counties by dividing the amount ofsales in each county by statewide sales and multiplying by the numberofgallons sold statewide found above in step 1. 4. Apply the emission factor 1.0 IbVOC/1 000 gallons in AP-42, Fifth Edition, Volume 1, Chapter5, Petroleum Industry, Transportation, and Marketing of Petroleum Liquids http://www.epa.gov/ttn/chief/ap42/ch05/final/c05s02.pdfto the process rate found in step 4. Sub-Category

### 4.7: SCC: 2505030120 TankTrucks in Transit

Followthese steps when calculating emissions from tanktrucks in transit: 1. Find the amount ofgasoline sold in Indiana atthe Federal HighwayAdministration, U.S. Department ofTransportation http://www.fhwa.dot.gov/policy/ohim/hs04/htm/mf21.htm. 2. Find the amount ofgasoline sold statewide and by county using the NAICS code 447-Gasoline Service Station from the U.S. Census Bureau's, Economic Census at http://www.census.gov/econ/census02/datalin/IN00044.HTM#N447. 3. Allocate the amount sold to each ofthe counties by dividing the amount ofsales in each county by statewide sales and mUltiplying bythe numberofgallons sold statewide found above in step 1.

204. Using the guidance in the EIIP, Volume 3, Chapter 11, Gasoline Marketing (Stage I and State II) at http://www.epa.gov/ttn/chief/eiip/techreportivolume03/iii11 apr2001.pdf), multiplythe activity rate 1.25 by the amount sold percounty found in step 4. 5. Now multiply the process rate found in step 5 bythe emission factor .06 IbVaC/gallon transported using the EIIP guidance above. 

### Category 5: Waste Management Practices Sub-Category5.1: Solid Waste Incineration 5.1.1 : Industrial Solid Waste Incineration SCC: 2601010000 Followthese steps when calculating emissions from industrial solid waste incineration: 1. Find the numberof manufacturing employees, NAICS code 31, foreach county using the County Business Patterns atthe U.S. Census Bureau's website http://censtats.census.gov/cgi-bin/cbpnaic/cbpsel.pl. Note: Use the steps in 3.2-1 to navigate through the county business patterns.
2. Multiply the county manufacturing employment bythe defaultfuel-loading factor420 tons/1,000 manufacturing employees. 3. Multiplythe process rate in step 2 by AP-42, Fifth Edition, Volume 1, Chapter2-1.12, Solid Waste Disposal at http://www.epa.gov/ttn/chief/ap42/ch02/index.html.



### 5.1.2: Commercial Solid Waste Incineration SCC: 2601020000 Followthese steps when calculating emissions from commercial solid waste incineration: 1. Find the population foreach county atthe U.S. Census Bureau'swebsite http://www.census.gov/. Note: Use steps 2.1-5 to navigate through the U.S. Census Bureau's website. 2. Nextfind the defaultfactor of .65Ib/person/dayfrom U.S. EPA Municipal Solid Waste Report http://www.epa.gov/epaoswer/non-hw/muncpllmsw99.htm. 3. Find the percent ofcommercial solid waste from the U.S. EPA Municipal Solid Waste Reportabove. 4. Now, calculate the process rate forcommercial solid waste incineration by multiplying population by the defaultfactor of .65Ib/person/day by the percent ofcommercial solid waste and numberofdays in a year. 5. Multiply the process rate in step 4 by AP-42, Fifth Edition, Volume 1, Chapter2-1.12, Solid Waste Disposal at http://www.epa.gov/ttn/chief/ap42/ch02/index.html. 

### 5.1.3: Residential Solid Waste Incineration SCC: 2601030000 21Followthese steps when calculating emissions from residential solid waste incineration: 1. Find the population foreach county atthe U.S. Census Bureau'swebsite http://www.census.gov/. Note: Use step 2.1-5 to navigate through the U.S. Census Bureau's website. 2. Nextfind the defaultfactor of .65Ib/person/dayfrom U.S. EPA Municipal Solid Waste Report http://www.epa.gov/epaoswer/non-hw/muncpl/msw99.htm. 3. Find the percent of residential solid waste from the U.S. EPA Municipal Solid Waste Report above. 4. Now, calculate the process rate for residential solid waste incineration by multiplying population by the defaultfactor of .65Ib/person/day bythe percent ofcommercial solid waste and numberofdays in ayear. 5. Multiplythe process rate in step 4 byAP-42, Fifth Edition, Volume 1, Chapter2-1.12, Solid Waste Disposal at http://www.epa.gov/ttn/chief/ap42/ch02/index.html. Sub-Category 

### 5.2: Residential Open Burning 

### 5.2.1: Leafand Brush Burning SCC: 2610000100 and 2610000400 Followtheses step when calculating emissions from leafand brush burning: 1. Find a percapita factorfor leaf burning and a percapita for brush burning by using the U.S. EPA's Solid Waste Report at http://www.epa.gov/epaoswer/non-hw/muncpl/msw99.htm. 2. Allocate the amount burned by adjusting the percapita factorfor leaves at25% and for brush at25%. Ofthe total waste generated only 28% burns. 3. Once all the percentages from above are calculated, multiplythe adjusted percapita factor bythe rural population for each county from the U.S. Census Bureau at http://www.census.gov/ Note: As ofthe data ofthis SOP, the following steps will lead to county rural population.
a. Go to http://www.census.gov/ b. On the left hand side, selectAmerican Fact Finder c. Selectdata sets d. Detailed tables e. County f. Indiana g. All counties 4 Use the table belowto adjustthe amount ofwaste generated to accountforthe percentage offorest in each county. The percentages come from a documentfrom the United States Departmentof Agriculture at http://ncrs.fs.fed.us/pubs/rb/rb nc253b.pdf. Percent Forested Acres per County Adjusted forYard Waste Generated <10% 0% generated >= 10%, and < 50% 50% generated >=50% 100% generated

225. Now, multiplythe amount of leaves and brush bythe emission factors found in AP-42, Fifth Edition, Volume 1, Chapter2, Solid Waste Disposal, Table 2.5-5, and Table 2.5-6 at http://www.epa.gov/ttn/chief/ap42/ch02/finaVc02s05.pdf. 

### 5.2.2: Residential Waste Incineration SCC: 2610030000 Followthese steps when calculating emissions from for residential waste incineration: 1. Find a percapita factorfor residential waste incineration by using the U.S. EPA's Solid Waste Report at http://www.epa.gov/epaoswer/non-hw/muncpllpubs/mswchar05.pdf. 2. Using the Solid Waste Report above, subtractthe percentage of recycled and composted material from the percapita factor above. 3. Now, subtractthe percentages ofcombustibles Le. glass, metal, yard trimmings, and otherwaste. 4. Using a documentfrom EPA, it states that only 28% ofwaste generated by rural population burns and ofthat percent, 49% is actually combusted. Using this information multiplythe percapita factor by 0.28 and then multiplythat number by 0.49 actually burned in rural counties. 5. Once all the percentages are calculated, multiplythe adjusted percapita factor bythe rural population for each county from the U.S. Census Bureau at http://www.census.gov/. Note: Use steps 5.2.1-3 to find county rural population. 6. Calculate the amount of residential waste by the emission factors in the EIIP, Volume 3, Chapter 16, Open Burning at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html. 

### Sub-Category 5.3: SCC: 2630020000 

### Public Owned TreatmentWorks (POTW's)

Followthese steps when calculating emissions from POTW's: 1. To calculate the amount ofannual flow for publicowned treatmentworks, obtain the amount of monthlyflow rate foreach county. This is data is supplied bythe Office ofWaterQuality. To calculate for annual flow multiplythe monthlyflow bythe default of0.16 that represents the amountof industrial flow. 2. Calculate the process rate above bythe emission factors in FIRE 6.25 using the SCC code 2630020000. 

### Sub-Category 5.4: SCC: 2640000004 

### Treatment, Storage, and Disposal Facilities

Followthese steps when calculating emissions from treatment, storage, and disposal facilities: 1. Obtain a listoftreatmentfacilities and the amount of ignitable waste from each facility from IDEM's Office of Land Quality. 2. Using the listoffacilities from step 1, run a query using the ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb to obtain the amountof ignitable waste reported to IDEM's Office ofAirQuality.

233. Compare the two lists obtained in step 1 and step 2, foreach facility subtract any quantity reported to OAQ from the quantity reported to OlQ. Do this in orderto avoid double counting quantities reported to both offices. Combine the quantities reported from facilities within the same counties. Usethese quantities as the process rate for each county. 4. Multiplythe process rate above with the combined emission factor in the table below: Emission Source Emission Factor in AP-42 Emission Factor Used (Ib VOClTon) (Ib VOClTon) StorageTankVent 

### 0.004-0.09 0.09

Spillage (filling) 

### 0.20 0.20 Loading (filling) 

### 0.00024-1.42 1.42 Spillage (emptying) 

### 0.20 0.20 Loading (emptying) 

### 0.00024-1.42 1.42 Combined Emission Factor 

### 3.33 

## Category6: Submit Data to EPA Submitdata in a formatthat is acceptable to EPA. Atthe presenttime the format isthe National Emission Inventory (NEI). 

## 6. Standards and checklists The Emission Reporting program does not have any checklistforthe Area Source Inventory atthis time. The Emission Group does this electronically through an excel spreadsheetthat is created when needed. 

## 7. Records Management The Area Source Inventoryfiles are kept electronically at K:\OAQ_INV\lnv\Area Source. The Branch Contactforthe Air Programs Branch and the Section contactforthe Technical Supportand Modeling Section will keep copies ofthe SOPsforthe Technical Supportand Modeling Section to be referenced as needed. An electronic copywill also be available on K:\OAQ_INV\SOPs. 

## 8. QualityAssurance I

## Quality Control Comparisons are made againstthe emissions estimates made byThe U.S. EPA in the NEI. 

## 9. Continuous ImprovementCycle A periodic reviewwill be completed per updates and changes made to the EIIP. 

## 10. References The Area Source Inventory is a requirementof40 CFR Part 51 SubpartA - Emission Inventory Reporting Requirements. 

## 11. Historyof Revisions Date Revision Number Description Month/day/year 02/27/2008 

### 1 Revised using new SOP template. 

## 12. Appendices None



### 24

# APPENDIX L Lake Michigan Air Directors Consortium Emission Estimates Technical Support DocumentFebruary27, 2008


## Base M Strategy Modeling: Emissions (Revised) The purpose ofthis document is to summarize the emission estimates prepared for LADCO's latest (Base M) 2005 base yearand 2008, 2009, 2012, and 2018 future year modeling. Base yearemissions by state and source sectorfor Base K (2002) and Base M (2005) are compared in Figure 1. A more detailed state and source sectorsummary is provided in Attachment 1. Additional emission reports are available on the LADCOwebsite: http://www.ladco.orgltech/emis/r5/round5reports.htm.


## voe NOx 502 

### 12000 10000

8000 6000 

### OWl 4000 

## .OH 2000 

### MI 

### IN 0 2002 2005 2002 2005 2002 2005 

### .IL 

## (K) (M) 

## (K) (M) 

## (K) (M) 12000 10000 

# o Area

8000 • Nonroad+MAR 6000 

### 111I Onroad 4000 [J 

### Non-EGU 2000 .EGU 0 2002 2005 2002 2005 2002 2005 

## (K) (M) 

## (K) (M) 

## (K) (M) Figure 1. Base K and Base M Emissionsfor5-State LADCO Region: VOC, NOx, and 502 (TPD, Julyweekday) 

### BaseYearEmissions In micl-2006, LADCO completed modeling analysesfora 2002 base yearand several future yearcontrol strategies (LADCO, 2006a and LADCO, 2006b). Following those analyses, a decision was made to conduct additional modeling using a more current base year (2005). Examination of multiple base years provides fora more complete technical assessment. All modeling was conducted in accordance with USEPA modeling guidelines (USEPA, 2007).February27, 2008


### Foron-road, ammonia, and biogenic sources, 2005 emissions were estimated by emission models. Forothersectors in the LADCO States, 2005 emissions were eithersupplied by a contractor (railroads and commercial marine) or bythe States (point sources, area sources, and aircraft). Forothersectors in non-LADCO States, a contractorobtainedthe latest base (2002) and future yearemission files (2009, 2018) from the other Regional Planning Organizations (RPOs) (Alpine, 2007a). Specifically, the following versions ofthese emissions files were used: MANE-VU: Version 3.1, WRAP: Pre2002d, CENRAP: Base F, and VISTAS: Base F. The 2005 emissions were then estimated by linearly interpolating between the 2002 and 2009 emissions.
Furtherdiscussion ofthe development ofthe 2005 base yearemissions is provided below: On-Road: CONCEPTwas run by a contractorusing transportation data (e.g., VMT and vehicle speeds) for24 networks supplied bythe state and local planning agencies in the LADCO States and Minnesota (Environ, 2008). These data were first processed with T3 (Travel Demand Modeling [TDM] Transformation Tool) to provide inputfiles for CONCEPT. Forsome networks, the VMT outputs from T3 were adjusted to match 2005 HPMS data. CONCEPT was then run with meteorological data fora July and January weekday, Saturday, and Sunday (July 15- 17 and January 16-18) to produce link-specific, hourlyemission estimates. A spatial plots of emissions forJuly 15 are provided in Figure 2. 

## voe Emissions O.lO 393**===""-::------~----,---,** 0.18 0.15 0.12 0.10 0.08 0.05 0.03 

### NOx Emissions**O.~O** 393 

### ==:?...----rr-

.......----,------, 0.18 0.15 0.12 0.10 0.08 0.05 0.03 0.00 1

### L~L 

# _**_i:.===r:::=:I==~~** 0.00 1

### L~L 

# _ _i::.===c=:::I:=.s....---.J



# ....**_-,~......** 

# _.....**-_I~_** 

# .. Figure 2. July 15, 2005 motorvehicle emissions forVOC (left) and NOx (right) 

### Forthe non-LADCO States, CONCEPTwas run by a contractorusing RPO-based HPMS county-level data (2002 and 2009) and MOBILE6 inputs (2002) compiled by another contractor (Environ, 2008). HPMS VMTfor 2005 were generated by linearly interpolating between the 2002 and 2009 data. The 2002 MOBILE6 inputs were used forthe 2005 modeling, with afew adjustments (e.g., fuel sulfurcontentwas setto 30 ppm, as required bythe Tier2/lowsulfur regulations). Meteorological data for a Julyand Januaryweekday, Saturday, and Sunday (July 15- 17 and January 16- 18) were used. Forother months (for both LADCO and non-LADCO States), weekday, Saturday, and Sunday emissions were linearly interpolated based on the January and Julyemissions.February27, 2008


### Off-Road: 

### NMIM2005 was run by Grant Hetherington (Wisconsin DNR) to produce emissions for mostoff-road sectors forthe LADCO States plus Minnesota, Iowa, and Missouri. Improved model inputs included local data for construction and agricultural equipment prepared by a contractorwere incorporated (E.H. Pechan, 2004), and 2005 gasoline parameters. (Note, model updates prepared byAIR to address evaporative emissions were not included.) EMS was run by LADCO 'using Grant Hetherington's NMIM2005data and, forthe**no~LADCO** 

### States, using emission fi,les supplied byAlpine based on datafrom the other RPOs to produce weekday, Saturday, and Sunday emissions foreach month. Additional off-road sectors (i.e., commercial marine, aircraft, and railroads [MAR]) were handled separately. Aircraft emissions were supplied bythe LADCO States. Updated information for railroads and commercial marine forthe LADCO States was prepared by a contractor (Environ, 2007a and Environ 2007b). Table 1 compares the new2005 emissions with the previous 2002 emission estimates. The new 2005 emissions reflect substantially lowercommercial marine emissions and lower locomotive NOx emissions. EMS was run by LADCO using the contractorand state data and, forthe**no~LADCO** 

### States, using emission files supplied byAlpine based on datafrom the other RPOs to produce weekday, Saturday, and Sundayemissions foreach month. Table 1. Locomotive and Commercial Marine Emissionsfor2002 and 2005 BaseYear
Railroads (TPY) Commercial Marine (TPY) 

### 2002 2005 2002 2005 VOC 7,890 7,625 1,562 828 CO 20,121 20,017 8,823 6,727 NOx 182226 145,132 64,441 42336 

### PM 5,049 4,845 3,113 1,413 802 12274 12,173 25,929 8637 NH3 86 85 

### - 

# -
Area: 

### EMS was run by LADCO using 2005 data supplied bythe LADCO States and, forthe**no~LADCO** 

### States, using emission files supplied byAlpine based on data from the other RPOs to produce weekday, Saturday, and Sundayemissions foreach month. Special attention was given totwo source categories: industrial adhesive and sealantsolventemissions and outdoor wood boilers. Industrial Adhesives and Sealants: The NEI shoY.5 this to 

### be a largeVOC emissions category in the LADCO States (Le

.., 50,000 TPY) USEPA subsequentlydetermined that "(f)orthe Region V states, we no longer believe thatthere are anyactivities in the Industrial Adhesives and Sealants category (SCC 2440020000) that have not been inventoried either in the point source Industrial Adhesives and Sealants category or underthe Consumerand Commercial Adhesives and Sealants nonpoint category (SCC 2460600000 - all adhesives and sealants)." (USEPA, 2007b) Consequently, this categorywas omitted from the 2005 regional emissions inventory.February27, 2008


### OutdoorWood Boilers: Overthe past several years, the installation and operation ofoutdoorwood boilers for residential use has increased dramatically in many northern states. Relying on an emission estimation methodology prepared by Bart Sponseller (WDNR, 2006), emissions were calculated bythe otherstates forthis category.
EGU Point:EMS was run by LADCO using 2005 data supplied bythe LADCO States and, for the non-LADCO States, using emission files supplied byAlpine based on data from the other RPOsto produce weekday, Saturday, and Sunday emissions foreach month. 2005 EGU emissions were temporalized for modeling purposes using profiles prepared by Scott Edick (Michigan DEQ) based on CEM data forthe period 2004-2006. Profiles were generated for monthly weekday/Saturday/Sunday based on the median hourlyemissions forthat month, day, and hourofthe dayforthe three years. Over90% of NOXand S02 emissionsfrom EGUs in the LADCO states were assigned profiles. In non-Ladco states, the annual EGUs emissions were replaced with the 2005 sum of hourlyemissions forall 365 days.
Non-EGU Point: EMS was run by LADCO using 2005 data supplied bythe LADCO Statesand, forthe non-LADCO States, using emission files supplied byAlpine based on data from the other RPOs to produce weekday, Saturday, and Sundayemissions foreach month. EGUs were removed from this point source file. Other improvements to the base year inventory included: Canadian Emissions: Previous modeling inventories forCanadian sources were flawed due to problems with emissions (e.g., LADCO inventoriesomitted ammonia emissions) orstack parameters (e.g., VISTAS inventories failed to include properstack parameters, resulting in emissions getting dumped in the surface layerofthe model). For Base M, Scott Edick (Michigan DEQ) processed the 2005 Canadian National Pollutant Release Inventory (NPRIsee http://wv.iw.ec.gc.c::alpdb/Ilpri/). r**~cifically,** 

### a subset ofthe NPRI data which are relevantto the airquality modeling were reformatted. A numberofemission reports are available on the LADCOwebsite**(http://www.ladco.ol\g/tech/emis/basem/caAada/~ndex.htr:il).x.6ircle** 

### plotof point source emissions are presented in Figure 3. 

### Circle Plot of S02 Sources CASE: pl_-"'

__ 

### Circle Plot of NOX Sources

c

### Circle Plot of ROO Sources February27, 2008



### Circle Plot of PM25-PRI Sources

Figure 3. Baseyearemission plotsforCanada 

### Biogenic Emissions: A contractorprovided an updated version ofthe CONCEPT/MEGAN (Model of Emissions ofGases and Aerosols from Nature - see http://baLacd.wcar.edu/Megari/)eqan/ biogenics model, which was used to produce base year biogenic emission estimates (Alpine, 2007b). MEGAN includes functions forsoil moisture plant stress, a more complete canopy model, full plant growth cycle emissions calculations, and state ofthe science emission rates. Subsequentto deliverofthe updatedCONCEPT/MEGAN code, itwasfound that more recent data sets and model formulations were available. Forthe purposes ofthe Round 5 modeling, LADCO simply scaled

### the emission estimatesfrom the updated code to reflectthese newer data. This resulted in loweremissions forseveral organic aerosol species and NOx Compared to the EMS/BlOME emissions used for Base K, there is more regional isoprene with MEGAN (see Figure 4). Also, with the secondary organic aerosol updatestothe CAMx air quality model, Base M includes emissions for monoterpenes and sesquiterpenes, which are precursors ofsecondary PM2.5 

### organic carbon mass.



## soooo 10000 

### sooo 1000 

### soo 100 

## o 1 MOLESJHR 1 97 1 Figure4. Isoprene emissions for Base M (left) v. Base K (right) 97February27, 2008


### Ammonia Emissions: The CMU-based 2002 (Base K) annual ammonia emissions were projected to 2005 using growth factors from the Round 4 emissions modeling. These annual emissions were then adjusted by applying monthlytemporal factors based on the processbased ammonia emissions model (http://www.conceptmodel.oro/nh3/nh3index

..html). The model was run forthe following list of modelfarms using 2002 meteorological data: Dairy (California, Wisconsin), Swine (Iowa, Wisconsin), and Beef(Texas, Washington, Wisconsin). Becausethe model was not complete forthe poultry housing model, swine was use in its place given that both use confined operations. Each model farms' emissions were used to generate monthlyaverage dayemissions and a monthly profile. The profiles were applied to geographies most associated with thatfarm type (e.g., all LAD

### CD states used the Wisconsin farm results). Thefollowing figure shows the daily variation in emissions forthe model farms.
Wisconsin - dairy Wisconsin -swine

I I h- l

...

### f-------- 

# t,... t om

## t--------..------:I-ftiII:I~ I I



### Washington - beef Texas -beef

!..... 1 J--..,.----,,,......----i---+-----l 

### l l t---------il-1Ir--H----l 

# I.... t**r----.....--~f_T:r______I** I ,... I ,omt----t--it



### Figure 5. Daily emissions for2002forvarious model farmsFebruary27, 2008


### A plot ofthe resulting average daily emissions by state and month is provided in Figure 6.



### 1800,----------------------------------, 1500**-t------------J~------------------___l** 

### 1200 -t--------I----\,---------------I--\---___l



### 900 -f--------/



### Jan Feci March Apr May Jun Jul Aug Sept Oct Nov Dec


## -+- Illinois

__ Indiana

---.- Minnesota Ohio -.- Iowa Michigan _Wisconsin Figure 6. Average dailyammonia emissionsfor MidwestStates by month for2005



### Fires: For Base K, a contractor (EC/R, 2004) developed a 2001,2002, and 2003 fire emissions inventoryforeight Midwest States (five LADCO states plus Iowa, Minnesota, and Missouri), including emissions from wild fires, prescribed fires, and agricultural burns. Projected emissions were also developed for2010 and 2018 assuming "no smoke managemenf and "optimal smoke managemenf scenarios. An early model sensitivity run showed very little difference in modeled PM2.5

### concentrations. Consequently, the fire emissions were not included in subsequent modeling runs (Le., theywere not in the Base Kor Base M modeling inventories).February27, 2008


### Future Year Emissions Complete emission inventories were developed fortv.o future years: 2009 and 20181

. 

### Source sectoremission summaries forthe base years (2002
- Base Kand 2005- Base M) and future years are shown in Figure 7. A more detailed state and source sectorsummary is provided in Attachment 1. Additional emission reports are available on the LADCO website (http://64.27.125.175/tecn/emis/r5/round5**re~orts(htm1s.** 

### hIm

VOC NOx S02 12000 ..--------------.-------------------,

9000 t------------------i

6000

3000



### o [JArea [J On-roadl

• Nonroadl DNon-€GU .EGU

2002 2005 2009 2012 2015 2018 2002 2005 2009 2012 2015 2018 2002 2005 2009 2012 2015 2018 Figure 7. Base yearand future yearemissions for 5-5tate LADCO Region (TPD, Julyweekday)

1 A 2008 proxy inventorywas prepared to support a preliminary2008 modeling analysis to assess attainmentforthe basic nonattainment areas (Le, for areaswith a 2009 attainment date, the appropriate panning year is 2008). This inventory reflects the following assumptions: On-road: scale 2005 baseyear emissions using the Base K2002- 2009 trend (except forthe Cincinnati-Dayton area, where 2008 emissions were generated using CONCEPT and 2008 data supplied bythe local planning agency) Off-road and area: scale 2005 base yearemissions using the Base K2002-2009 trend Point- EGU: use 2005 base yearemissions, with slightadjustment (-10%) Point - Non-EGU: use 2005 base yearemissions (note: Base K2002-2009 trend suggests little change) Biogenics: use new 2005 base year emissions
A 2012 proxy inventorywas prepared to support a preliminary2012 modeling analysis to assess the effect offurtheremission reductions from existing controls. This inventorywas derived by interpolating between 2009 and 2018 emissions for all sectors, except point sources (forwhich, the 2009 emissions were used).February27, 2008


### Foron-road, off-road, and EGU sources, the future year emissions were estimated by models (Le., CONCEPT, NMIM2005, and IPM, respectively) and then processed by LADCO with EMS. Forothersectors (area, MAR, and non-EGU point sources), the future year emissionsforthe LADCO Stateswere derived by applying growth and control factors to the base yearinventory. These factors were developed by a contractor (E.H. Pechan, 2007). Growth factors were based initiallyon EGAS (version 5.0), and were subsequently modified (forselect, priority categories) by examining emissions activitydata. Forthe non-LADCO States, future year emission files were supplied byAlpine based on data from the other RPOs. Due to a lackof information on future year conditions, the biogenicVOC and NOxemissions, and all Canadian emissions were assumed to remain constant between the base yearand future years. A "base" control scenario was prepared foreach future yearbased on the following "on the books" controls (E.H. Pechan, 2007): 

### On-Highway Mobile Sources
• Federal motorvehicle emission control program, lowsulfurgasoline, and ultra-low sulfurdiesel fuel
• Inspection/Maintenance programs (nonattainmentareas)
• Reformulated gasoline (nonattainment areas) 

### Off-Highway Mobile Sources
• Federal control programs incorporated into NONROAD model (e.g., nonroad diesel rule), plusthe evaporative Large Spark Ignition and Recreational Vehicle standards
• Heavy-dutydiesel (2007) engine standard/Lowsulfurfuel
• Federal railroadllocomotive standards
• Federal commercial marine vessel engine standards 

### Area Sources
• Consumersolvents
• AIM coatings • Aerosol coatings
• Portable fuel containers 

### Power Plants
• Title IV (Phases I and II)
• NOx SIP Call
• Clean Air Interstate Rule
• Clean Air Mercury Rule 

### Other Point Sources
• VOC 2-, 4-,7-, and 10-yearMACTstandards2


### • Combustion turbine MACT
• Consent decrees (refineries, ethanol plants, and ALCOA)3

2 E.H. Pechan's original control file included EPA-default control factor information. Alternative control factors were developed byWisconsin for afew MACT categories, and were also applied tothe otherfour LADCD States.February

### 27, 2008



### • Other(Illinois and Ohio NOx RACT4
, 

### and BART in IN and WI)
Furtherdiscussion ofthe development ofthe future year emissions is provided below: On-Road: Similarto the base year modeling, CONCEPTwas run using transportation data (e.g., VMTand vehicle speeds) supplied bythe state and local planning agenciesfor2009 and 2018 (Environ, 2008). CONCEPTwas only run with meteorological datafora Julyweekday (July 15). The emissions forSaturdayand Sundaywere derived by using scaling factors based on the 2005 emissions. The state-level emissions forthefive LADCO States plus Minnesota are summarized in Table 25

. 

### Forthe non-LADCO States, CONCEPTwas run by Environ using HPMS county-level data and MOBILE6 inputs compiled by anothercontractorforVISTAS. Note, the emissions modeling for lA, MO, and OKwas redone for2009 to reflectthe state-developed registration distribution data. (The initial modeling for2009 used national defaultvaluesfor registration distribution assumed byVISTAS' contractor. CENRAP's contractordeveloped emissions inventoriesfor 2002 and 2018 using the state-developed data. Forconsistency, Environ's remodeling forthese three states for2009 also used the state-developed data.) Meteorological data fora Julyweekday (July 15)were used. The emissionsforSaturdayand Sundaywere derived by using scaling factors based on the 2005 emissions. Forothermonths (for both LADCO and non-LADCO States), January weekday, Saturday, and Sunday emissions were derived based on the July:January ratios for2005, and then the weekday, Saturday, and Sunday emissions forother months were linearly interpolated based on the Januaryand Julyemissions.

3 E.H. Pechan's original control file included control factors forthree sources in Wayne County, MI. These control factors were not applied in the regional-scale modeling to avoid double-counting with the State's local-scale analysis for PM2.5.

4 WI believes that NOx RACT fortheirsources is already included in the 2005 basecase and EGU "will do· scenario, and IN provided NOx RACT information for inclusion as a no-EGU "maydo· scenario. 5 For northeastern IL (CATS region), 2009 and 2018 emissions were increases by 9% and 8%, respectively, to reflect newertransportation modeling by CATS.February27, 2008 (TPD
- 

### July 15, 2005) dEml ,fO 

### Table 2. SummaI'Y 01 - - -- ----- - - - - --- Year State CO-tpd TOG-tpd NOx-tpd PM2.5-lpd S02-lpd NH3-lpd SumofVMT 2005 

### IL 3,684.3 341.5 748.2 12.9 9.6 35.9 344,087,819.6 

### IN 3,384.9 282.0 541.1 8.9 11.1 25.7 245,537,231.9 

### MI 4,210.3 351.9 722.0 12.4 13.9 35.3 340,834,025.9 

### MN 2,569.1 218.7 380.5 6.3 7.6 17.7 170,024,599.7 OH 6113.4 679.8 933.6 16.2 18.8 36.5 360,521,068.6 WI 2,206.0 175.1 457.5 7.8 9.2 19.7 189,123,964.3 Total 22,168.0 2,049.0 3,782.9 64.5 70.2 170.8 1,650,128,709.9
2009 

### IL 2,824.4 268.0 527.8 10.1 4.2 38.9 372,132,591.1 

### IN 2,839.5 234.9 401.9 6.7 2.8 26.1 249,817,026.3 

### MI 3,172.0 269.2 500.9 9.2 4.0 37.1 356,347,010.5 

### MN 2,256.8 206.3 307.5 5.1 2.3 21.5 204,443,017.8 OH 4,619.2 423.7 693.5 11.8 4.7 39.5 387,428,127.2 WI 1,673.4 119.4 322.1 5.7 2.3 20.6 197,729,964.9 Total 17,385.3 1,521.5 2,753.6 48.7 20.3 183.6 1,767,897,737.8

2018 IL 2084.7 151.5 200.7 6.3 3.7 43.1 413,887,887.3 

### IN 2,217.3 138.4 173.0 4.4 2.6 30.2 288,042,232.1 

### MI 2,434.3 163.5 204.1 5.9 3.6 40.5 388,128,431.8 

### MN 1,799.6 123.1 137.1 3.6 2.2 24.9 237,022,213.7 OH 3,361.5 242.5 274.1 6.8 4.0 43.1 421,694,093.4 WI 1,255.5 68.4 138.5 3.9 2.0 22.2 218,277,167.5 Total 13,152.9 887.5 1,127.5 30.8 18.1 203.9 1,967,052,025.8February27, 2008


### EGU Point: Future year emissions were based on EPA's IPM3.0 modeling6

. 

### Three CAIR scenarios were addressed: 5a: EPA's IPM3.0was assumed asthe future year base for EGUs. 5b: EPA's IPM3.0, with several "will do· adjustments identified bythe States. These adjustments should reflect a legally binding commitment (e.g., signed contract, consent decree, oroperating permit).? 5c: EPA's IPM3.0, with several "maydo· adjustments identified bythe States. These adjustments reflect less rigorous criteria, but should still be some type ofpublic reality (e.g., BARTdetermination or press announcement).

. Table 3 summarizesthe S02 and NOx emissionsforthe three scenarios. The individual facilities affected bythe "will do" and "maydo" adjustments are identified in Attachment 2. The net effectofthese adjustments is a small increase in regional S02 and NOxemissions. Based on initial discussions with USEPA, a decision was made to use the 2010 IPM emissions in the 2009 modeling. USEPAsubsequently insisted that2009 modeling must represent 2009 conditions. Because 2009 and 2010 EGU NOxemissions are expected to be similar(note: CAIR Phase I compliance date for NOx is 2009), the Round 5.1 ozone modeling was not redone. USEPA believes that2009 and 2010 EGU S02 emissions may be significantlydifferent (note: CAIR Phase I compliance date for S02 is 2010). In particular, USEPA noted that information on projected scrubberinstallations identifies several facilities are not expected to be completed until 2010. A model sensitivity run was conducted with adjusted (higher) EGU S02 emissions.

6 The second set of new IPM runs by EPAwere used. These runs were performed atthe request ofthe RPOs and reflectthe addition of run years 2012 and 2018, and the use offour load segmentsfor2032 to decrease model size (instead ofsixsegments). Comparing the results in this run with EPA's initial v3.0, showed small differences Below is a quicksummary ofthe run yeardifferences. EPA Base Case for IPM v.3.0 2010: 2009-2012 2015: 2013-2017 2020: 2018-2022 2025: 2023-2027 2032: 2028-2035 Base Case RPO Run for IPM v3.0 (added 2012 and 2018 run years, 2020 run year merged with the 2025 run year, and four load segments**us~** forthe 2032 run year) 2010: 2009-2011 2012: 2012-2012 2015: 2013-2017 2018: 2018-2019 2025: 2020-2028 2032: 2029-2035

7 Scenario 5b and 5c also reflect changes in Minnesota, Missouri, and North Dakota.February27, 2008


### Table 4 provides information from USEPAs Clean Air Markets Division (CAMD) on scrubber installation dates. This information is based on various sources, including company announcements, consent decrees, vendors, and organizations thattrackscrubber installations. While there may 

### be uncertainty in any projection ofcontrol installations, USEPAconsiders these adequate projections forSIP planning purposes. USEPA identified six plants which: (1) are projected in IPM3.0to have scrubbers in place by 201 0 (or2011), butwill not be completed by2009, and (2) are most likelyto impact PM2.5 

### air quality in the upper Midwest (see highlighting in Table4). To reflect uncontrolled (2009) emissions forthose facilities (and units), LADCO substituted actual 2005 emissions forthe IPM3.0 projected 2010 emissions. The revised (2009) S02 emissionsforthe sixfacilities (see Table 5) represent a 5-6% increase in domainwide S02 emissions.February

### 27, 2008

Table 3. Comparison of EGU Emissionsfor Base (5a), Will Do (5b), and Will Do (5c) Scenarios 

## 2010 2018 502 5a 5b 5c 5a 5b 5c 

## IL 958 881 881 869 433 433 IN 

### 1033 1318 1318 1036 1194 1194 

## MI 667 667 667 725 725 725 

## OH 1326 1410 1410 983 1127 1127 

## WI 460 460 421 435 499 

# . 235 4444 4736 4697 4048 3978 3714 

## MN 162 148 148 187 167 157



## NOx 5a 5b 5c 5a 5b 5c 

## IL 275 247 247 224 195 195 

## IN 370 372 372 255 266 266 

## MI 242 242 242 243 243 243 

## OH 281 305 305 285 310 310 

## WI 165 164 155 176 172 145 1333 1330 1321 1183 1186· 1159 

## MN 116 142 142 132 157 125February27, 2008

Table 4. Facilities Anticipating 502 Controls in 2009 and 2010 ORIS Unit Capacity Scrubber Scrubber State Name Plant Name UniquelD Final Code ID MW OnlineYear OnlineMonth Alabama Barry 3 B 5 3 5 768 2010 Alabama E C Gaston 26 B 5 26 5 861 2010 Arizona Cholla 113 B 3 113 3 271 2009 Florida Crystal River 628 B 4 628 4 720 2010 Florida Crist 641 B6 641 6 302 2010 Florida Crist 641 B 7 641 7 477 2010 Florida Crystal River 628 B 5 628 5 717 2009 5 Florida Deerhaven Generating Station 663 B B2 663 B2 228 2009 5 Georgia Bowen 703 B 1BLR 703 1BLR 713 2010 Georgia Wansley 6052 B 2 6052 2 892 2009 5 Georgia Bowen 703 B 2BLR 703 2BLR 718 2009 4 Indiana Clifty Creek 983 B 1 983 1 217 2010 Indiana Clifty Creek 983 B 2 983 2 217 2010 Indiana Clifty Creek 983 B 3 983 3 217 2010 Indiana Clifty Creek 983 B 4 983 4 217 2010 Indiana Clifty Creek 983 B 5 983 5 217 2010 Indiana Clifty Creek 983 B 6 983 6 217 2010 Indiana Warrick 6705 B 4 6705 4 300 2010 Kentucky Big Sandy 1353 B BSU2 1353 BSU2 800 2009 11 Kentucky EWBrown 1355 B 1 1355 1 94 2009 1 Kentucky EWBrown 1355 B 2 1355 2 160 2009 1 Kentucky EWBrown 1355 B 3 1355 3 422 2009 1 Kentucky H L Spurlock 6041 B 1 6041 1 315 2009 Maryland Brandon Shores 602 B 1 602 1 643 2010 Marvland Brandon Shores 602 B 2 602 2 643 2010 Maryland Chalk Point LLC 1571 B 1 1571 1 341 2010 Maryland Chalk Point LLC 1571 B 2 1571 2 342 2010 Marvland Dickerson 1572 B 1 1572 1 182 2010 Marvland Dickerson 1572 B 2 1572 2 182 2010 Marvland Dickerson 1572 B 3 1572 3 182 2010 Maryland Morgantown Generating Plant 1573 B 1 1573 1 624 2009 Maryland Morgantown Generating Plant 1573 B 2 1573 2 620 2009 2009 Michigan Monroe 1733 B 4 1733 4 775 (2010?) Missouri Sioux 2107 B 1 2107 1 497 2010 Missouri Sioux 2107 B 2 2107 2 497 2010 NewJersey PSEG MercerGen. Station 2408 B 1 2408 1 315.3 2010 NewJersey PSEG MercerGen. Station 2408 B 2 2408 2 309.9 2010 NewYork AES Westover 2526 B 11 2526 11 21.85 2010 NewYork AES Westover 2526 B 12 2526 12 21.85 2010 NewYork AES Westover 2526 B 13 2526 13 84 2010 NewYork AES Greenidge LLC 2527 B 4 2527 4 26.5 2010 NewYork AES Greenidge LLC 2527 B 5 2527 5 26.5 2010 NorthCarolina Cliffside 2721 B 1 2721 1 38 2010February27, 2008

NorthCarolina Cliffside 2721 B 2 2721 2 38 2010 NorthCarolina Cliffside 2721 B 3 2721 3 61 2010 NorthCarolina Cliffside 2721 B 4 2721 4 61 2010 NorthCarolina Cliffside 2721 B 5 2721 5 550 2010 NorthCarolina GGAlien 2718 B 1 2718 1 161.73 2009 5 NorthCarolina Roxboro 2712 B 1 2712 1 369 2009 NorthCarolina GGAlien 2718 B 2 2718 2 161.73 2009 NorthCarolina G GAlien 2718 B 3 2718 3 259.77 2009 NorthCarolina G GAlien 2718 B 4 2718 4 274.77 2009 NorthCarolina G GAlien 2718 B 5 2718 5 265 2009 NorthCarolina Mayo 6250 B 1A 6250 1A 361.5 2009 NorthCarolina Mayo 6250 B 1B 6250 1B 361.5 2009 Ohio WHSammis 2866 B 6 2866 6 630 2011 Ohio WHSammis 2866 B 7 2866 7 630 2011 Ohio R E Burger 2864 B 7 2864 7 156 2010 Ohio R E Burger 2864 B 8 2864 8 156 2010 Ohio KYQerCreek 2876 B 1 2876 1 217 2010 Ohio KYQerCreek 2876 B 2 2876 2 217 2010 Ohio KYaerCreek 2876 B 3 2876 3 217 2010 Ohio KygerCreek 2876 B 4 2876 4 217 2010 Ohio KygerCreek 2876 B 5 2876 5 217 2010 Ohio Conesville 2840 B 4 2840 4 780 2009 4 Ohio BayShore 2878 B 4 2878 4 215 2009 Pennsylvania Cheswick Power Plant 8226 B 1 8226 1 580 2010 Pennsylvania Hatfields Ferry PowerStation 3179 B 1 3179 1 530 2009 1 Pennsylvania Hatfields Ferry PowerStation 3179 B 2 3179 2 530 2009 1 Pennsylvania Hatfields Ferry PowerStation 3179 B 3 3179 3 530 2009 1 Pennsylvania Keystone 3136 B 1 3136 1 850 2009 Pennsylvania Keysbne 3136 B 2 3136 2 850 2009 PennsYlvania PPL Brunner Island 3140 B 1 3140 1 321 2009 Pennsylvania PPL Brunner Island 3140 B 2 3140 2 378 2009 Tennessee Kingston 3407 B 1 3407 1 135 2010 Tennessee Kingston 3407 B 2 3407 2 135 2010 Tennessee Kingston 3407 B 3 3407 3 135 2010 Tennessee KinQston 3407 B 4 3407 4 135 2010 Tennessee Kingston 3407 B 5 3407 5 177 2010 Tennessee Kinaston 3407 B 6 3407 6 177 2010 Tennessee Kingston 3407 B 7 3407 7 177 2010 Tennessee Kingston 3407 B 8 3407 8 177 2010 Tennessee KinQston 3407 B 9 3407 9 178 2010 Tennessee Bull Run 3396 B 1 3396 1 881 2009 1 Texas Fayette Power Project 6179 B 1 6179 1 598 2009 Texas Fayette Power Project 6179 B 2 6179 2 598 2009 Virginia Chesterfield 3797 B 5 3797 5 310 2010 Virginia Yorktown 3809 B 1 3809 1 159 2010February27, 2008

Table 5. SummaryofAdjusted EGU S02 Emissions (TPD)
State Plant 2010lPM 2005 BY Indiana Clifty Creek 

### 41.41 225.32 Missouri Ameren Sioux 

### 22.25 141.92 Ohio Kyger Creek 

### 21.53 197.68 Ohio Sammis 

### 147.97 305.90 Pennsylvania Cheswick 

### 11.53 103.98 Tennessee KinQston 

### 41.15 155.20February27, 2008


### References Alpine Geophysics, 2007a, "Emissions Inventory Assistance: 2005 Base Year Biogenicand Other(non-LADCO) State Emissions, Preparation and Deliveryof Non-MRPO Emission Files< March 12,2007. Alpine Geophysics, 2007b, Updated CONCEPT code with new (MEGAN) biogenic emissions delivered via e-mail from James Wilkinson on February 9,2007. EC/R, Incorporated, 2004, "Fire Emissions Inventory Developmentforthe Midwest Regional Planning Organization", Final Report, September30,2004. EH. Pechan, 2004, "LADCO Nonroad Emissions Inventory Project- DevelopmentofLocal DataforConstruction and Agricultural Equipment", Final Report, September 10, 2004 EH. Pechan, 2005, "Developmentof Updated Growth and Control Factorsfor Lake Michigan Air Directors Consortium (LADCO)", Draft Report, December29,2005. E H. Pechan, 2007, "Developmentof2005 Base Year Growth and Control Factorsfor Lake Michigan Air Directors Consortium (LADCO)", Final Report, September2007. Environ, 2004, "LADCO Nonroad Emissions Inventory Projectfor Locomotive, Commercial Marine, and Recreational Marine Emission Sources, Final Report, December2004. Environ, 2007a, "LADCO 2005 Locomotive Emissions·, Draft, February2007. Environ, 2007b, "LADCO 2005 Commercial Marine Emissions·, Draft, March 2, 2007. Environ, 2008, "LADCO On-Road Emission Inventory Development Using CONCEPT MV", January2008. LADCO, 2006a, "Base KlRound 4 Strategy Modeling" Emissions", May 16, 2006. LADCO, 2006b, "Base KlRound 4 Modeling: Summary", August 31, 2006. Mansell, G, Z. Wang, 

### R. Zhang, J. Fadel, T. Ramsey, H. Xin, Y. Liang, and J. Arogo, 2005, "An Improved Process-Based Ammonia Emissions Model forAgricultural Sources
- Emission Estimates" USEPA, 2007a, "Guidanceforon the Use of Models and OtherAnalyses for Demonstrating AttainmentofAirQuality GoalsforOzone, PM2.5, 

### and Regional Haze", EPA-454/B07-002, April 2007. USEPA, 2007b, E-mail from Dennis Beauregard (OAQPS) dated February22,2007. Zhang, R, T. Ramsey, J. Fadel, J. Arogo, Z. Wang, G. Mansell, and H. Xin, 2005, "An Improved Process-Based Ammonia Emissions Model forAgricultural Sources
- Model Developmenf WDNR, 2006, "Wisconsin Draft2005 OutdoorWood Boiler Methodology", PowerPoint presentation by Bart Sponseller, November 13, 2006.

### Web Sites:**http://www.ladco.orgltech/emislbaseklBase~RePOr1S:htmts.htm http://wWw.ladco.org/techlemislr5/rournCfS~rep6rts.htmts.htm**  

### h.ttp://www.ladco.or.gltech/emislbasem/eanada/index .•**htm~x.htm** 

### http://www.ec.gc.calpC!ib/nprilb/npri/ http://bai;accLllcar.ed

### u/Megarillegan http://www.cOli\ceptmodeIJorqlnh3/nh31:iridex.html·x.html February27, 2008February

### 27, 2008


# ATTACHMENT 1 Emissions SummariesVOC BasoM BaseK BasaM BaseK BaseK BaseM NOx BaseM BaseK Base 1.4 BaseK BaseK Base 1.4 SOX BaseM BaseK Base 1.4 BaseK BaseK Base 1.4 PM2.5 BaseM BaseK Base M BaseK BaseK Base 1.4 July 2002 2005 2009 2009 2012 2018 2018 2002 2005 2009 2009 2012 2018 2018 2002 2005 2009 2009 2012 2018 2018 2002 2005 2009 2009 2012 2018 2018 Nonroad II.. 224 321 164 257 149 130 213 324 333 263 275 224 154 155 31 33 5 5 0.6 0.4 0.4 30 24 14 IN 125 195 94 160 95 95 128 178 191 142 158 141 141 89 17 19 3 3 3 0.3 0.2 17 13 7 MI 348 414 307 350 276 222 271 205 239 159 197 133 93 112 19 22 3 3 0.5 0.3 03 22 18 11 OH 222 356 161 294 145 126 238 253 304 195 248 162 109 135 23 29 4 5 0.5 0.3 0.4 27 22 13 WI 214 238 194 203 175 140 157 145 157 114 129 97 69 77 13 15 2 2 0.3 0.2 02 14 12 7**~taleTotal** 1133 1524 920 1264 840 713 1007 1105 1224 873 1005 757 566 568 103 118 17 18 4.9 1.5 15 110 89 52 U.S. Tolal 8463 9815 5442 8448 5244 6581 6041 9080 6057 8120 5832 5100 505 654 117 153 104 13 573 750 475
MAR II.. 10 11 10 10 10 10 6 277 246 201 228 195 188 165 0 22 0 19 0 0 17 7 6 4 IN 5 5 5 5 5 5 3 123 93 89 87 87 84 65 0.2 8 0.2 7 0.2 0.2 6 2 2 2 1.41 7 7 7 7 7 8 7 114 87 112 82 111 110 65 0.6 21 0.7 14 0.7 0.8 8 3 3 2 OH 8 7 8 7 8 8 5 177 134 128 126 126 122 94 0.4 14 0.3 12 0.3 0.3 10 4 4 2 WI 4 4 4 4 4 4 3 79 58 59 54 59 57 41 12.7 8 9.5 6 9.5 8.7 5 2 2 1 5-StaleTotal 34 34 34 33 34 35 24 770 618 589 577 578 559 430 13.9 73 10.7 58 10.7 10 46 18 17 11 U.S. Total 307 317 321 157 329 346 334 4968 4515 4002 1813 3964 3919 3812 620 512 509 122 509 503 290 147 57 165 O1herArea IL 679 675 688 594 700 738 582 62 48 68 48 70 73 49 11 11 12 16 12 13 16 40 64 69 IN 354 391 365 358 373 398 384 62 56 65 58 67 69 59 158 32 150 32 151 153 32 2 2 2 MI 518 652 516 562 520 541 549 49 49 52 50 53 54 51 71 29 68 29 68 68 28 111 114 120 OH 546 604 550 506 558 593 487 50 93 59 108 60 62 108 22 6 34 15 35 35 14 19 35 34 WI 458 315 467 290 474 506 293 32 37 34 37 34 35 37 9 17 9 13 10 10 13 11 12 12 5-Stale Total 2555 2637 2586 2310 2625 2776 2295 255 283 278 301 284 293 304 271 95 273 105 276 279 103 183 227 237 U.S. Tolal 17876 21093 18638 18683 20512 24300 3856 4899 4100 4220 4418 5357 2075 2947 2062 2559 2189 2709 2735 2621 2570
On-Road IL 446 341 314 268 260 197 151 890 748 578 528 474 300 201 9 4 3 13 10 6 IN 405 282 237 235 193 150 138 703 541 425 402 313 187 173 11 3 2 9 7 2 1.41 522 351 335 269 303 217 163 926 722 680 501 619 385 204 14 4 3 12 9 3 OH 574 680 365 424 340 238 242 1035 934 609 693 512 270 274 18 4 4 16 12 4 WI 238 175 144 119 117 88 68 481 457 303 322 226 116 138 9 2 2 8 6 2 5-StaleTotal 2185 1829 1395 1315 1213 890 762 4035 3402 2595 2446 2144 1260 990 61 17 14 58 44 17 U.S. Total 14263 7825 23499 13170
EGU IL 9 7 8 6 8 9 7 712 305 227 275 244 231 224 1310 1158 944 958 789 810 869 13 34 77 IN 6 6 6 6 7 6 6 830 393 406 370 424 283 255 2499 2614 1267 1033 1263 1048 1036 16 73 74 1.41 12 6 11 4 11 12 4 448 393 218 242 219 247 243 1103 1251 1022 667 1031 1058 725 15 25 29 OH 5 4 6 5 7 7 6 1139 408 330 280 322 271 285 3131 3405 1463 1326 994 701 983 28 94 80 WI 3 5 3 2 4 4 3 293 213 146 165 139 147 177 602 545 512 460 492 500 435 0 22 25 5-SlaleTotal 35 28 34 23 37 38 26 3422 1712 1327 1332 1348 1179 1184 8645 8973 5208 4444 4569 4117 4048 72 248 285 U.S. Total 214 140 195 124 197 215 138 14371 10316 7746 7274 7721 7007 6095 31839 34545 20163 16903 17629 14727 14133 685 1131 1571
Non-EGU IL 313 221 286 218 305 350 258 356 330 334 218 338 343 235 373 423 251 335 257 249 346 16 17 19 IN 150 130 160 137 170 199 167 238 179 212 175 216 225 178 292 218 270 216 274 290 180 35 36 44 1.41 123 116 115 119 122 139 140 216 240 208 242 214 229 271 162 158 166 148 171 185 163 20 21 25 OH 77 84 75 87 79 90 104 177 175 157 166 160 167 178 240 289 231 288 210 216 293 27 28 33 WI 88 84 97 87 104 120 106 98 97 91 93 92 94 81 163 156 154 152 155 156 85 0 01 01 5-StaleTotal 751 635 733 648 780 898 775 1085 1021 1002 894 1020 1058 943 1230 1244 1072 1139 1067 1096 1067 98 102 121 U.S. Tolal 4087 3877 4409 4700 5378 8446 6730 6129 6435 6952 5759 5630 6093 6340 6970 1444 1777
IL 1681 1576 1470 1353 1432 1434 1217 2621 2010 1671 1572 1545 1287 1029 1725 1656 1212 1337 1059 1072 1251 119 155 189 IN 1045 1009 867 901 843 853 826 2134 1453 1339 1250 1248 989 819 2966 2902 1690 1294 1691 1492 1256 81 133 131 1.41 1530 1546 1291 1311 1239 1139 1134 1958 1730 1429 1314 1349 1118 946 1356 1495 1260 865 1271 1312 927 183 190 190 OH 1432 1735 1165 1323 1137 1082 1082 2831 2048 1478 1619 1342 1001 1074 3416 3761 1732 1650 1240 953 1304 121 195 166 WI 1005 821 909 705 878 862 630 1128 1019 747 800 647 520 551 800 750 687 635 667 675 540 35 54 47 5-StaleTotal 6693 6687 5702 5593 5529 5350 4889 10672 8260 6664 6555 6131 4915 4419 10263 10564 6581 5781 5928 5504 5280 539 727 723February27, 2008 

# ATTACHMENT 2 "Will Do" and "May Do" EGU Facility Emissions

### February27, 2008


### 2009 - Difference between base (Sa) and "will do" (5b) scenarios The SAS System 09:55 Wednesday, February 27, 2008 1



### ------------------------------------------------------------ polid=NOX 

### -------------------------------------------------------- Obs cntryid stid cyid fcid name polid aceebase aceenew diff 1 US 17 97 097190AAC MIDWEST GENERAT NOX 11.54 6.28 -5.266 2 US 17 197 197810AAK MIDWEST GENERAT NOX 21.11 9.46 -11. 652 3 US 18 73 00008 NIPSCO

- R.M. S NOX 26.50 24.81 -1.691 4 US 18 77 00001 IKEC

- CLIFTY C NOX 11.58 16.42 4.836 5 US 18 89 00117 NIPSCO

- DEAN H NOX 20.51 19.13 -1. 384 6 US 27 37 2703700003 NSP dba Xce1 En NOX 8.03 26.74 18.709 7 US 27 61 2706100004 Minnesota Power NOX 15.43 18.40 2.969 8 US 27 163 2716300005 Xce1 Energy - A NOX 4.21 5.92 1.718 9 US 29 183 0001 AMERENUE-SIOUX NOX 28.47 12.81 -15.658 10 US 38 55 126 Coal Creek Stat NOX 30.49 30.36 -0.132 11 US 38 57 12 Leland Olds Sta NOX 11.32 36.67 25.348 12 US 38 57 125 Stanton Station NOX 6.11 6.11 0.002 13 US 38 57 13 Antelope Valley NOX 33.00 36.39 3.385 14 US 38 57 289 Coyote NOX 35.12 36.95 1. 839 15 US 38 59 172 RM Heskett Stat NOX 5.45 4.72 -0.727 16 US 38 65 165 M R Young Stati NOX 6.02 71.10 65.081 17 US 39 93 0247030013 AVON LAKE POWER NOX 3.98 20.54 16.561 18 US 39 129 0165000006 NOX 1. 69 19 US 55 11 606034110 DAIRYLAND POWER NOX 19.24 18.96 -0.279 20 US 55 21 111003090 Alliant Energy- NOX 14.23 17.16 2.927 21 US 55 43 122014530 Alliant Energy- NOX 7.61 7.77 0.160 22 US 55 59 230006260 WIS ELECTRIC PO NOX 7.39 14.03 6.647 23 US 55 71 436035930 MANITOWOC PUBLI NOX 2.06 1. 80 -0.259 24 US 55 79 241007690 WIS ELECTRIC PO NOX 15.25 15.41 0.166 25 US 55 79 241007800 WIS ELECTRIC PO NOX 7.87 6.07 -1. 801 26 US 55 117 460033090 WP & L Alliant NOX 19.06 11.85 -7.215 27 US 55 123 663020930 DAIRYLAND POWER NOX 10.47 8.52 -1. 955

-------- ------- -------- po1id 382.05 486.07 102.327

### February27, 

### 2008



### ------------------------------------------------------------ po1id=S02

-------------------------------------------------------- Obs cntryid stid cyid fcid name polid aceebase aceenew diff

28 US 17 97 097190AAC MIDWEST GENERAT S02 49.91 29.27 -20.636 29 US 17 197 197810AAK MIDWEST GENERAT S02 91.90 62.70 -29.198 30 US 18 29 00002 AMERICAN ELECTR S02 66.34 102.72 36.389 31 US 18 43 00004 PSI ENERGY

- GA S02 25.53 66.01 40.488 32 US 18 73 00008 NIPSCO

- R.M. S S02 82.52 63.71 -18.817 33 US 18 147 00020 INDIANA MICHIGA S02 71. 67 198.71 127.042 34 US 18 167 00021 PSI ENERGY

- WA S02 76.09 175.87 99.786 35 US 27 31 2703100001 Minnesota Power S02 12.27 5.75 -6.512 36 US 27 61 2706100004 Minnesota Power S02 30.76 20.79 -9.968 37 US 27 163 2716300005 Xcel Energy - A S02 5.33 7.11 1.777 38 US 29 183 0001 AMERENUE-SIOUX S02 22.25 8.34 -13.903 39 US 38 55 126 Coal Creek Stat S02 27.45 75.37 47.926 40 US 38 57 12 Leland 01ds Sta S02 108.15 126.06 17.906 41 US 38 57 125 Stanton Station S02 25.29 12.37 -12.922 42 US 38 57 13 Antelope Valley S02 26.60 43.72 17.128 43 US 38 57 289 Coyote S02 19.26 53.19 33.932 44 US 38 59 172 RM Heskett Stat S02 9.23 30.11 20.872 45 US 38 65 165 M R Young Stati S02 27.98 82.23 54.249 46 US 39 81 0641160017 W. H. SAMMIS PL S02 147.97 55.61 -92.363 47 US 39 93 0247030013 AVON LAKE POWER S02 7.62 127.04 119.417 48 US 39 129 0165000006 S02 16.55 49 US 55 21 111003090 A11iant Energy- S02 61. 97 74.80 12.822 50 US 55 43 122014530 A1liant Energy- S02 11. 49 42.60 31.111 51 US 55 59
. 230006260 WIS ELECTRIC PO S02 7.39 12.34 4.949 52 US 55 71 436035930 MANITOWOC PUBLI S02 5.90 9.95 4.050 53 US 55 79 241007690 WIS ELECTRIC PO S02 59.72 41.19 -18.535 54 US 55 79 241007800 WIS ELECTRIC PO S02 38.79 21. 36 -17.433 55 US 55 123 663020930 DAIRYLAND POWER S02 19.56 3.79 -15.772

-------- ------- -------- polid 1138.93 1569.26 413.785
======== ======= ========

1520.97 2055.32 516.112

### February27, 

### 2008


### 2009- Difference between "will do" (5b) and "may do" (5c) scenarios

2008 1 The SAS System 09:55 Wednesday, February 27,

------------------------------------------------------------ po1id=NOX

-------------------------------------------------------- Obs cntryid sUd cyid fcid name polid**aceebas~** aceenew diff 1 US 19 139 70-01-011 MUSCATINE POWER NOX 5.649 3.926 -1.7226 2 US 55 9 405031990 WI PUBLIC SERVI NOX 9.234 7.786 -1.4476 3 US 55 11 606034110 DAIRYLAND POWER NOX 18.957 18.994 0.0377 4 US 55 21 111003090 A11iant Energy- NOX 17 .158 17 .156 -0.0021 5 US 55 25 113004430 MADISON GAS & E NOX 3.886 2.639 -1.2470 6 US 55 43 122014530 A11iant Energy- NOX 7.765 7.756 -0.0091 7 US 55 59 230006260 WIS ELECTRIC PO NOX 14.034 9.826 -4.2074 8 US 55 71 436035930 MANITOWOC PUBLI NOX 1.800 0.439 -1.3610 9 US 55 79 241007690 WIS ELECTRIC PO NOX 15.413 15.435 0.0219 10 US 55 79 241007800 WIS ELECTRIC PO NOX 6.068 6.072 0.0041 11 US 55 117 460033090 WP & L Alliant NOX 11.847 11.892 0.0456 12 US 55 123 663020930 DAIRYLAND POWER NOX 8.517 8.482 -0.0343

-------- ------- -------- polid 120.325 110.404 -9.9218



### ------------------------------------------------------------ po1id=S02

-------------------------------------------------------- Obs cntryid stid cyid fcid name polid aceebase aceenew diff

13 US 19 139 70-01-011 MUSCATINE POWER S02 6.237 11.178 4.9415 14 US 55 9 405031990 WI PUBLIC SERVI S02 21.750 18.074 -3.6753 15 US 55 21 111003090 Alliant Energy- S02 74.796 74.988 0.1924 16 US 55 25 113004430 MADISON GAS & E S02 16.331 0.063 -16.2672 17 US 55 43 122014530 Alliant Energy- S02 42.604 42.640 0.0362 18 US 55 59 230006260 WIS ELECTRIC PO S02 12.336 9.850 -2.4867 19 US 55 71 436035930 MANITOWOC PUBLI 502 9.949 3.001 -6.9477 20 US 55 79 241007690 WIS ELECTRIC PO S02 41.189 41. 210 0.0207 21 US 55 79 241007800 WIS ELECTRIC PO S02 21. 360 21. 430 0.0699 22 US 55 123 663020930 DAIRYLAND POWER S02 3.785 3.716 -0.0694

-------- ------- -------- polid 250.336 226.151 -24.1856
======== ======= ========

370.662 336.554 -34.1074