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# Appendix E Emissions Inventory Summary used for the VISTAS-ASIP ModelingLast Revised: 10/30/08 (during comment period)2002Cincinnati-MiddletownOH-KY-IN (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad TotalINDIANADearborn 901 755 1,197 257 3,110 19,274 145 1,979 569 21,967 65,287 261 82 50 65,680 71 569 37 31 708 2 266 60 0 328IN Total 901 755 1,197 257 3,110 19,274 145 1,979 569 21,967 65,287 261 82 50 65,680 71 569 37 31 708 2 266 60 0 328KENTUCKYBoone 884 3,136 2,306 1,621 7,947 6,703 1,893 4,088 3,973 16,657 15,769 1,048 150 557 17,524 140 1,174 68 303 1,685 34 124 153 1 312Campbell 186 1,882 1,313 519 3,900 55 532 1,979 1,989 4,555 1 467 78 277 823 85 474 33 88 680 0 93 84 0 177Kenton 264 3,448 2,368 832 6,912 20 1,585 3,682 2,832 8,119 18 1,190 155 310 1,673 11 972 60 131 1,174 2 94 155 1 252KY Total 1,334 8,466 5,987 2,972 18,759 6,778 4,010 9,749 8,794 29,331 15,788 2,705 383 1,144 20,020 236 2,620 161 521 3,538 36.0 311 392 2 741OHIOButler 1072 3763 5673 2039 12547 6287 795 6864 3924 17870 10156 391 358 344 11249 1266 1026 114 245 2651 85 482 266 3 836Clermont 168 2072 3340 1177 6757 39818 536 4663 1629 46646 91617 227 239 160 92243 673 757 84 123 1637 4 171 166 1 342Hamilton 442 10890 17631 4895 33858 21710 2691 21402 7220 53023 92769 698 1111 606 95184 768 710 327 441 2246 17 271 865 6 1159Warren 101 2070 2776 1299 6246 905 513 3883 2133 7434 1 209 194 212 616 5 892 67 165 1129 0 554 137 2 693OH Total 1783 18795 29420 9410 59408 68720 4535 36812 14906 124973 194543 1525 1902 1322 199292 2712 3385 592 974 7663 106 1478 1434 12 3030Total Emissions 4,018.00 28,016.00 36,604.00 12,639.12 81,277.12 94,772.00 8,690.00 48,540.00 24,269.13 176,271.13 275,618.00 4,491.00 2,367.00 2,515.82 284,991.82 3,019.00 6,574.00 790.00 1,526.22 11,909.22 144.00 2,055.00 1,886.00 14.07 4,099.07LouisvilleKY-IN (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad TotalKENTUCKYBullitt 2,689 984 1,483 506 5,662 221 51 2,979 578 3,829 391 93 89 50 623 56 804 43 44 947 0 94 81 0 175Jefferson 4,959 3,205 14,567 4,171 26,902 25,915 234 25,864 10,989 63,002 41,483 0 917 1,429 43,829 830 1,083 369 720 3,002 42 166 816 4 1,028KY Total 7,648 4,189 16,050 4,678 32,565 26,136 285 28,843 11,567 66,831 41,874 93 1,006 1,479 44,452 886 1,887 412 765 3,950 42 260 897 5 1,204INDIANAClark 1,107 2,343 2,279 670 6,399 1,687 400 3,364 3,180 8,631 3,158 721 152 269 4,300 514 915 59 111 1,599 1 802 127 2 932Floyd 305 1,596 1,531 455 3,887 6,145 321 2,255 894 9,615 58,929 694 102 80 59,805 52 725 40 54 871 1 261 85 1 348Jefferson 296 767 728 273 2,064 28,503 146 961 553 30,163 38,197 351 42 49 38,639 36 494 17 34 581 1 374 33 0 408IN Total 1,708 4,706 4,538 1,398 12,350 36,335 867 6,580 4,627 48,409 100,284 1,766 296 398 102,744 602 2,134 116 199 3,051 3 1,437 245 3 1,688Total Emissions 9,356.00 8,895.00 20,588.00 6,075.72 44,914.72 62,471.00 1,152.00 35,423.00 16,193.72 115,239.72 142,158.00 1,859.00 1,302.00 1,876.67 147,195.67 1,488.00 4,021.00 528.00 963.78 7,000.78 45.00 1,697.00 1,142.00 7.75 2,891.75Ashland-HuntingtonKY-WV-OH (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad TotalKENTUCKYBoyd 3,083 780 991 312 5,165 7,046 40 1,213 3,319 11,618 9,711 542 54 482 10,789 1,256 712 21 131 2,120 336 38 44 0 418Lawrence 98 374 409 223 1,104 17,12987 785 726 18,72748,874 96 30 85 49,085 335 216 14 30 595 31 28 20 0 79KY Total 3,181 1,154 1,400 535 6,270 24,175 127 1,998 4,045 30,345 58,585 638 84 567 59,874 1,591 928 35 161 2,715 367 66 64 0 497WEST VIRGINIACabell 97 3636 2210 841 6785 247 716 2988 1958 5908 124 1420 122 112 1778 319 865 48 82 1315 3 41 96 0 141Mason 236 1310 573 519 2638 26815 349 701 1545 29410 85418 119 32 83 85652 237 391 12 70 710 3 207 27 0 238Wayne 285 1398 875 432 2989 3313 174 1089 3050 7626 288 479 48 162 977 50 523 18 125 717 1 25 40 0 65WV Total 618 6344 3658 1792 12412 30375 1240 4778 6552 42945 85830 2018 203 356 88407 607 1779 79 277 2743 7 273 163 1 444OHIOAdams 268 334 611 150 1363 54917 112 917 494 56440 137,24143 44 45 137373 952 315 17 25 1309 4 804 28 0 836Gallia 293 385 587 198 1463 68,963112 864 538 70477 106,28637 42 45 106410 670 226 16 22 934 4 275 26 0 305Lawrence 0 604 1815 220 2639 0 216 2336 1037 3589 0 70 112 86 268 0 163 38 36 237 0 123 80 1 204Scioto 197 993 1423 610 3223 755 220 1991 1706 4672 25 77 96 137 335 30 337 36 71 474 167 1082 63 1 1313OH Total 758 2316 4436 1178 8688 124635 660 6108 3775 135178 243552 227 294 313 244386 1652 1041 107 154 2954 175 2284 197 2 2658Total Emissions 4556.53 9813.72 9494.00 3505.28 27369.53 179184.61 2026.79 12884.24 14372.56 208468.20 387966.64 2883 580.98 1236.41 392666.913849.86 3748.46 221.06 592.19 8411.57 549.24 2623.07 424.00 3.08 3599.39Numbers are primarily from the Regional Haze submittal. 01-25-08To understand the cell formulas, note that (for VISTAS states) fire and area emissions were combined into this table's area emissions.Also regarding cell formulas, for nonVISTA states, IN and OH, EGU and non-EGU emissions had to be combined into this table's point emissions (BaseM provided them to DAQ as separate emission points)SOx PMVOC NOx SOx PMVOC NOx SOx PM NH3NH3NH3VOC NOxLast Revised: 10/30/08 during comment period2009Cincinnati-MiddletownOH-KY-IN (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad TotalINDIANADearborn 1,347 780 690 184 3,001 13,332 152 1,200 459 15,143 40,862 252 9 9 41,132 913 582 25 23 1,543 81 288 65 0 434IN Total 1,347 780 690 184 3,001 13,332 152 1,200 459 15,143 40,862 252 9 9 41,132 913 582 25 23 1,543 81 288 65 0 434KENTUCKYBoone 913 3,367 4,352 1,441 10,073 1,405 2,017 3,517 3,768 10,707 2,247 1,077 21 420 3,765 159 1,225 50 316 1,750 36 123 173 1 333Campbell 206 1,736 2,662 385 4,989 63 563 1,725 1,823 4,174 1 484 11 197 693 99 489 25 76 689 0 94 95 0 189Kenton 293 3,206 5,587 587 9,673 22 1,677 3,299 2,539 7,537 20 1,222 20 173 1,435 13 1,007 45 110 1,175 2 96 175 1 274KY Total 1,412 8,309 12,601 2,413 24,735 1,490 4,257 8,541 8,130 22,418 2,268 2,783 52 790 5,893 271 2,721 120 502 3,614 38 313 443 2 796OHIOButler 1315 4165 3231 1332 10043 4528 913 4183 2844 12468 6190 526 35 61 6812 941 1097 83 186 2307 80 550 294 3 927Clermont 292 2336 1877 847 5352 14583 605 2786 1330 19304 46321 302 23 28 46674 3269 816 58 96 4239 100 194 179 2 475Hamilton 1099 11469 9753 3370 25691 7789 3032 12453 5466 28740 27447 1019 106 107 28679 1744 727 237 349 3057 123 313 930 7 1373Warren 195 2475 1554 967 5191 1093 579 2296 1646 5614 3 279 19 37 338 19 1079 47 126 1271 0 669 148 2 819OH Total 2901 20445 16415 6516 46277 27993 5129 21718 11286 66126 79961 2126 183 233 82503 5973 3719 425 757 10874 303 1726 1551 14 3594Total Emissions 5,660.00 29,534.00 29,706.20 9,113.00 74,013.20 42,815.00 9,538.00 31,459.00 19,875.00 103,687.00 123,091.00 5,161.00 244.001,032.00 129,528.00 7,157.00 7,022.00 570.00 1,282.00 16,031.00 422.00 2,327.00 2,059.00 16.00 4,824.00LouisvilleKY-IN (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad TotalKENTUCKYBullitt 2,822 982 1,079 564 5,447 236 57 2,161 490 2,944 401 97 14 8 520 57 826 35 39 957 0 93 113 0 206Jefferson 4,637 3,093 10,582 3,063 21,375 20,475 234 14,510 9,785 45,004 43,688 0 112 921 44,721 899 1,111 241 649 2,900 49 168 880 5 1,102KY Total 7,459 4,075 11,661 3,627 26,822 20,711 291 16,671 10,275 47,948 44,089 97 126 929 45,241 956 1,937 276 688 3,857 49 261 993 5 1,308INDIANAClark 1,123 2,359 1,241 569 5,292 2,396 421 1,963 2,952 7,732 3,459 687 17 49 4,212 641 939 41 96 1,717 1 900 137 2 1,040Floyd 180 1,692 835 302 3,009 6,981 338 1,321 683 9,323 28,295 659 11 14 28,979 419 731 28 42 1,220 32 268 91 1 392Jefferson 239 812 415 229 1,695 8,457 153 593 490 9,693 14,563 334 5 9 14,911 1,293 516 12 27 1,848 64 427 36 0 527IN Total 1,542 4,863 2,491 1,100 9,996 17,834 912 3,877 4,125 26,748 46,317 1,680 33 72 48,102 2,353 2,186 81 165 4,785 97 1,595 264 3 1,959Total Emissions 9,001 8,938 14,152 4,727 36,818 38,545 1,203 20,548 14,400 74,696 90,406 1,777 159 1,001 93,343 3,309 4,123 357 853 8,642 146 1,856 1,257 8 3,267Ashland-HuntingtonKY-WV-OH (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad TotalKENTUCKYBoyd 3,259 775 613 256 4,903 7,281 46 774 3,107 11,208 10,432.00 578 6 380 11,396 1,255 748 15 121 2,139 378 38 53 0 469Lawrence*119 357 269 271 1,016 5,730 93 528 664 7,015 47,739.00 102 4 52 47,897 413 219 10 28 670 44 28 26 0 98KY Total 3,378 1,132 882 527 5,919 13,011 139 1,302 3,771 18,223 58,171.00 680 10 432 59,293 1,668 967 25 149 2,809 422 66 79 0 567WEST VIRGINIACabell 95 3315 1203 820 5432 250 737 1633 1849 4469 123 1528 13 19 1682 339 857 31 74 1301 3 42 102 1 148Mason 275 1217 340 394 2226 15238 377 439 1454 17507 56691 122 4 14 56830 287 380 9 60 735 4 205 30 0 239Wayne 252 1251 465 356 2324 2683 180 581 2962 6406 277 517 5 34 832 54 485 11 114 664 1 24 41 0 66WV Total 622 5783 2008 1570 9982 18170 1294 2653 6265 28381 57091 2167 21 66 59345 680 1722 50 248 2701 8 271 173 1 453OHIOAdams 297 394 342 151 1184 7393 123 544 458 8518 22422 55 4 8 22489 3696 323 12 20 4051 133 935 30 0 1098Gallia 282 453 328 189 1252 9437 125 514 469 10545 21807 50 4 8 21869 3905 230 11 19 4165 157 297 28 0 482Lawrence 85 701 996 166 1948 180 241 1352 846 2619 0 94 11 15 120 2 165 26 29 222 25 137 86 1 249Scioto 229 1113 790 641 2773 497 242 1177 1302 3218 918 108 9 25 1060 92 339 24 60 515 50 1314 68 1 1433OH Total 893 2661 2456 1147 7157 17507 731 3587 3075 24900 45147 307 28 56 45538 7695 1057 73 128 8953 365 2683 212 2 3262Total Emissions 4893.04 9576.00 5345.51 3243.57 23058.13 48,688.40 2,163.65 7,541.65 13,110.60 71,504.30 160,408.62 3,153.50 59.25 554.36 164,175.72 10,043.39 3,746.17 148.38 525.00 14,462.94 794.93 3,020.00 464.00 2.87 4,281.80Numbers are primarily from the Regional Haze submittal 01-25-08. For VISTAS states, fire and area emissions combined into thistable's area emissions.For nonVISTA states received from MRPO, IN and OH, EGU and non-EGU emissions received separately were combined into this table's point emissions. IN and OH have been revised to reflect BaseM EGU and non-EGU emissions. ASIP provided point source emissions as a combined total. 10-30-08*KY's Lawrence County 2009 numbers were changed (increased) for Point NOx and Point Sox to reflect that the AEP scrubbers wouldnot be installed prior to 2009, per Martin. 03-19-08NH3VOC NOx SOx PMNH3VOC NOx SOx PM NH3VOC NOx SOx PMAtmospheric Sciences Group

Alpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045 MEMORANDUM

To: Pat Brewer, VISTAS From: Gregory Stella, Alpine Geophysics, LLC Re: Conversion of MRPO BaseM Point Source Data to SMOKE Input Format Date: 4 February 2008

The Midwest Regional Planning Organization (MRPO) periodically produces a five State emission inventory for Illinois, Indiana, Michigan, Wisconsin, and Ohio. These data are used as the basis for various MRPO modeling and regulatory analyses. These data are prepared with the he lp of each State’s emission inventory divisions and are felt to be the most representative account for emissi ons activities for those States at any one time.

The most recent version prepared and distributed by MRPO is currently called BaseM. Associated with this 2005 base year inventory release is a set of growth and control factors that are used to additionally simulate future year conditions under “On-The-Books” (base cas e or known control programs requirements to be implemented in future years) or incremental control situations to test sensitivity or strategies which would be implemented in whole or in part during the same future years.

The purpose of this document is to detail the technical steps that were made as part of the conversion of the MRPO BaseM point sources files (electric generating unit [EGU] and non-EGU) into IDA format for ASIP PM-2.5 modeling of the future year 2009. B ecause of the timing and complications relative to converting multiple and various emission files for all source types, it was determined that only point source emissions would be converted for processing at this time.

Data Sources and Description

A series of data files and associated documentation was obtained from MRPO staff in 2007. These files were the input data sets for base year 2005 and growth and control factors related to MRPO’s BaseM and Round 5

inventories 1 . Because of the emission processing tools that MRPO currently executes for its analyses, these files are in formats that are not read by the SMOKE emissions processor currently in use by VISTAS/ASIP modelers (contract teams and participating states). Alpine Geophysics, under the Emissions Inventory Technical Advisor contract, was asked to obtain and convert these data into the formats that could be used by these modeling agencies.

Through additional contact with MRPO staff, the base year 2005 non-EGU point source fi les and associated growth and control factors necessary to forecast the data to 2009 base case conditions were identified and extracted from the originally provided data. EGU sources were identified to be already prepared for the future year (2010 substituted for 2009) and were based on recent IPM 3.0 model runs with incremental adjustment made by MRPO states to best reflect expected emission controls and operating conditions . The “will do” simulation series for EGUs was identified as “egu5b_2010.”

The main purpose of the SMOKE conversion task was to prepare five state emission inventories provided in National Input Format (NIF) format into the IDA format required by the SMOKE model for the criteria pollutants VOC, NOx, CO, SO2, PM-10, PM-2.5, and NH3. Annual emissions were taken directly from the NIF structured inventories with no alternate temporal calculations perfo rmed (e.g., estimate seasonal emissions from annual or annual from seasonal). The temporal allocation module of the SMOKE emissions processor was intended to be used to further define temporal distribution of these emissions.

No quality assurance (QA) related to the reported valu es in the MRPO was conducted (e.g., it was assumed that reported emission levels were correct) and therefore the QA focus of these tasks was to maintain the integrity of the

mass files in the conversion to IDA.

Each set of NIF structured data had a unique set of relatio nal tables necessary to maintain the information required in each source sector based on its repo rting requirements. Alpine had previo usly developed scripts to read the

information from each of these relational data sets and co nvert them to the IDA struct ures required by this task.

1 http://www.ladco.org/tech/emis/r5/round5_reports.htmAtmospheric Sciences Group

Alpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045 Prior to and after each major source sector was converte d from NIF to IDA, we developed a list of emission summary reports to check that the emissions input into the conversion process were the same as output into the IDA

formatted files.

Non-EGU Point Source Conversion

Non-EGU point source emissions from 2005 BaseM were converted to future year 2009 IDA format using the annual emission records directly from th e NIF structured data sets and asso ciated SCC growth factors and unit, facility, county, state, or nationally applied controls 2 . These controls were applied in a hierarchical fashion starting with the most defined (unit-segment-pollutant level) th rough least defined (national-SCC-pollutant) and when a match was found during the implementation, no additional cont rols were sought or applied to that emission record. In other words, if a match were found at the unit-segment leve l of control, no additional controls were applied to that segment/pollutant combination again in the forecast process. This prevented multiple control programs from being implemented when the intent of the originally provided cont rol files were to assign a single applicable reduction.

The Round 5 factors for point sources provided by MRPO were in the RPO Data Exchange Format (RPODx) and had growth and control factors available at the State, county , plant, unit, segment, stack, and SCC level of detail. In order to apply these factors in a fashio n consistent with that of the MRPO utilized processing system and duplicative of how MRPO would have generated its BaseM forecasts, a hierarchical approach was ut ilized to match and assign growth and control values.

Growth Factor Application

Using the 2005 EM table from the BaseM inventory files in NIF format, we first selected each emissions record for forecasting. In this conversion case, th ese EM records were limited to those em issions identified as annual using the NIF coding convention. As noted in the limitations sectio n below, there oftentimes were emissions provided by

MRPO in a summer season convention.

We next selected the base year for application as the RPODx for growth rates allows for the flexibility of input growth factors for multiple base year inventories. In this assignment, the base year was always 2005, as that was the base year provided by MRPO and the future year was 2009, as selected by ASIP.

The next step was to determine the growth basis for each individual emission record of the file. This “growth basis” is the key with which the growth factor is associated. For point sources, this key is based on a combination of FIPS, SCC, and pollutant codes. Multiple keys are calculated fo r each individual emission reco rd and that key with the highest resolution of matching to the growth factor file using the hierarchy identified in Table 1 below is the one chosen to assign a growth rate to the base year emissions.

Table 1. Point Source Growth Fact or Application Hierarchy.

Order Key or “Growth/Control Basis” 1 state/county code, 10-digit SCC, pollutant 2 state/county code, 10-digit SCC 3 state code, 10-digit SCC, pollutant 4 state code, 10-digit SCC 5 state/county code, pollutant 6 state/county code 7 state code, pollutant

8 state code 9 10-digit SCC, pollutant 10 10-digit SCC

11 Pollutant

2

http://www.ladco.org/tech/emis/r5/reports/LADCO%2 02005%20Base%20Yr%20Growth%20and%20Controls%20 Report_Final.pdfAtmospheric Sciences Group

Alpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045 Using the hierarchical application, growth basis, and date s (base year and alternate year ), we matched each emission record to the growth table to obtain a growth factor. The factors are defined in the growth table as a multiplier for the base year period that calculates the alternate year of interest. In other words, multiplying the base year emissions value by the growth factor provides you with the emissions for the alternate year of interest.

When no match from any of the hierarchical keys was identified, a growth rate of 1.00 (no growth) was assigned. This maintained the 2005 emission level in the future year inventory.

Control Factor Application

Similar to the process identified above for the assignment and application of growth f actors, the control factor assignment was based on a hierarchical key, this time, however, using FIPS, plantid, pointid, stackid, segment, SCC, and pollutant codes applied in a parallel pr ocess to the growth factor assignment.

Using the 2005 EM table from the BaseM inventory files in NIF format, we selected each annual emissions record for forecasting. We next select ed the base year for application, and again, the base year was always 2005, as that was the base year provided by MRPO.

Once the base year was identified, we determined the alternate y ear for our forecast. Depend ing on the specific year used in each conversion, gr owth rates were limited to those with a base year of 2005 and a future year less than or equal to that of our forecast. This variation in method is in tended to allow us to identify all controls implemented prior to or during the year of interest and will consider them as viable options at the latest provided level of control.

In other words, since we selected 2009 as the future year of choice, we limit the control factor table to control strategies implemented during or prior to 2009. If in our matching to the control factor table we find that for a certain control basis key there is no match because a program may have been fully implemented in a prior year (say 2007), then we do not want to exclude this reduction fr om our forecast. Additionally, if we find that there are multiple entries in the control factor table because of incr emental implementation of a rule , we select the closest year to that of our intended forecast. So if a particular rule was incrementally implemented from 2005 through 2009 and

there were control records available for each year in between, we would select the record with the latest year to apply in our forecast.

The next step was to determine the control basis for each individual emission record of the file. This “control basis” is the key with which the control strategy or technology is associated. Although we developed code to support the hierarchical application of control f actors for the BaseM emissions, all contro l factors provided by MRPO in the Round 5 files were segment-SCC-pollutant specific. This el iminated the need for a sear ch on the key that has the greatest resolution as all matches were at the segment-SCC-pollutant level.

Using the control basis and dates (base year and alternate year), we matched each emissi on record to the control

table to obtain a control factor. The fact ors are defined in the control table as a group of values (control efficiency, rule effectiveness, and rule penetration) for the future year period that gets assigned to an uncontrolled future year emission value. In other words, we first “backed out” existing base year controls from our future year emissions estimate and then multiplied this uncontrolled value by the control factors for the alternate year of interest. These calculations are defined in Equations 1 and 2 below.

Equation 1. Uncontrolled emissions calculation.

Emiss Unc = Emiss Base / (1-((CE Base /100)*(RE Base /100)*(RP Base /100)))

Where,

Emiss Unc = Uncontrolled emissions

Emiss Base = Base year emissions

CE Base = Base year control efficiency

RE Base = Base year rule effectiveness

RP Base = Base year rule penetrationAtmospheric Sciences Group

Alpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045 Equation 2. Application of new control calculation.

Emiss New = Emiss Unc *(1-((CE New /100)*(RE New /100)*(RP New /100)))

Where,

Emiss New = Future year emissions

Emiss Unc = Uncontrolled emissions

CE New = Future year control efficiency

RE New = Future year rule effectiveness

RP New = Future year rule penetration

When no match from any of the hierarchical keys was iden tified, the same control effi ciency, rule efficiency, and rule penetration values from the base year inventory were used in the calculation and the only change in emissions would have been the result of growth factor application. In instances where PM-10 annual emissions were found to be less than PM-2.5 annual emission values, the PM-2.5 emission values were changed to equal that of PM-10.

EGU Point Source Conversion

EGU point source emissions from the egu5b_2010 scenario (2010 IPM 3.0 run with modifications) were converted to year 2009 IDA format using the annual emission records directly from the NIF struct ured data sets. Since these emissions already accounted for growth and control appli cation, no additional modifi cations were required.

One ASIP requested modification was to adjust the 2009 f ile to match W. H. Sammis f acility’s planned response to the control requirements from the consent decree USA vs. Ohio Edison; Civil Action No: 2:99-CV-1181; March 18, 2005. These adjustments for SO2 are noted in Table 2 below.

Table 2. SO2 Control Requirements from USA vs. Ohio Edison Consent Decree

Units 1-4 Induct Scrubbing

50% removal (1.1 lbs/MMBtu)

At least one unit by Sept. 30, 2008

Second unit by Dec. 31, 2008

Other two units by Dec. 31, 2009

Unit 5 Flash Dryer Absorber or Electro-Cataly tic Oxidation no later than Dec. 31, 2008

50% removal (1.1 lbs/MMBtu)

Units 6/7 Scrubber no later than December 31, 2010

95% removal (0.13 lbs/MMBtu)

Plantwide Emission cap of 101,500 by end of 2009

Emission cap of 101,500 by end of 2010

Emission cap of 29,900 by end of 2011

Conversion Limitations

As noted above, Alpine limited our conversion to all record s in the MRPO point source f iles that were identified as

annual. In some cases the MRPO NIF files had additiona l non-annual summer season emission records configured as a higher percentage than the annual average that was used in our emissions comparison.

In other words, the MRPO file sometimes had two emission record types that it uses for its modeling; one for the summer period and one for the rest of the year. Since SMOKE uses temporal allocation factors to make this summer/winter split, our converted values do not match MR PO's summertime reports. We see a high percentage difference in the Alpine converted data compared to the MR PO output reports in these two States for the July 12 example for this reason.Atmospheric Sciences Group

Alpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045 Since we confirmed this difference and reason for this difference in the 2005 data sets with MRPO, our objective for QA on the projections also included delta emissions from the projection year to the base year. Although the absolute daily emission values (in tpd) were found to be different as noted above, in all cases, the difference between 2005 and the projection year calculations as made by Alpine was within confidence ranges of the ratio of future year to base year as posted by MRPO. See Table 3 below. For this reason, we were convi nced that our projection methodology is capturing the growth and control factors that MRPO applied in its emissions modeling.Atmospheric Sciences GroupAlpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045Table 3.Emissions Comparison of ASIP Converted and MRPO Non-EGU Emissions.Comparison of ASIP Converted and MRPO Non-EGU EmissionsFIPSST State VOC NOX CO SO2 PM-10 PM-2.5 NH317 Illinois 61,760 85,142 71,725 150,506 20,315 6,256 1,05918 Indiana 48,287 65,132 339,642 82,040 22,118 12,774 78226 Michigan 36,753 85,014 67,564 55,435 13,235 6,567 78839 Ohio 31,530 67,275 212,626 116,942 15,930 10,443 3,23955 Wisconsin 31,377 36,827 43,014 60,955 456 43 346MRPO 209,707 339,390 734,570 465,878 72,054 36,082 6,214FIPSST State VOC NOX CO SO2 PM-10 PM-2.5 NH3 FIPSST State VOC NOX CO SO2 PM-10 PM-2.5 NH317 Illinois 222.3 315.1 250.9 412.3 55.6 17.1 2.9 17 Illinois 218.1 217.8 255.7 335.0 56.0 16.8 2.818 Indiana 132.3 178.4 930.5 224.8 60.6 35.0 2.1 18 Indiana 137.2 175.2 888.8 216.2 60.7 36.5 2.326 Michigan 115.8 232.4 193.6 144.9 40.8 19.3 2.4 26 Michigan 119.1 242.0 206.5 148.6 43.6 20.3 2.439 Ohio 86.4 184.3 582.5 320.4 43.6 28.6 8.9 39 Ohio 87.1 166.3 540.7 288.0 43.0 27.6 8.355 Wisconsin 86.0 100.9 117.8 167.0 1.3 0.1 0.9 55 Wisconsin 87.7 92.9 120.0 152.1 23.2 0.1 1.0MRPO 642.7 1,011.1 2,075.4 1,269.4 202.0 100.2 17.2 MRPO 649.2 894.2 2,011.7 1,139.9 226.5 101.3 16.8FIPSST State VOC NOX CO SO2 PM-10 PM-2.5 NH3 FIPSST State VOC NOX CO SO2 PM-10 PM-2.5 NH317 Illinois 29.5% 25.1% 9.8% 32.3% 28.2% 17.3% 17.0% 17 Illinois 33.6% 24.4% 12.7% 29.4% 24.7% 16.6% 16.7%18 Indiana 23.0% 19.2% 46.2% 17.6% 30.7% 35.4% 12.6% 18 Indiana 21.1% 19.6% 44.2% 19.0% 26.8% 36.0% 13.7%26 Michigan 17.5% 25.0% 9.2% 11.9% 18.4% 18.2% 12.7% 26 Michigan 18.3% 27.1% 10.3% 13.0% 19.2% 20.0% 14.3%39 Ohio 15.0% 19.8% 28.9% 25.1% 22.1% 28.9% 52.1% 39 Ohio 13.4% 18.6% 26.9% 25.3% 19.0% 27.2% 49.4%55 Wisconsin 15.0% 10.9% 5.9% 13.1% 0.6% 0.1% 5.6% 55 Wisconsin 13.5% 10.4% 6.0% 13.3% 10.2% 0.1% 6.0%MRPO 100% 100% 100% 100% 100% 100% 100% MRPO 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%ASIP 2009 July 12 Summer Daily Emissions (% of MRPO Total) 2009 July 12 Summer Daily Emissions (% of MRPO Total)ASIP 2009 Annual Emissions (Tons/Year)ASIP 2009 July 12 Summer Daily Emissions (Tons/Day) 2009 July 12 Summer Daily Emissions (Tons/Day)