Mean(lb/MMBtu) UPL(lb/MMBtu)NumberofunitsinthefloorFloornumberMean(lb/MMBtu) UPL(lb/MMBtu)NumberofunitsinthefloorAntimony(Sb) 1.0170E‐07 3.6460E‐07 2 0.4 lb/TBtu 5.2650E‐08 1.6733E‐06 1Arsenic(As) 5.7489E‐07 1.1976E‐06 2 2 lb/TBtu 3.7200E‐07 1.3008E‐06 1Beryllium(Be) 1.0121E‐08 2.1055E‐08 2 0.03 lb/TBtu 6.0300E‐09 1.5059E‐08 1Cadmium(Cd) 5.3267E‐08 1.2716E‐07 2 0.2 lb/TBtu 3.3857E‐08 1.5822E‐07 1Chromium(Cr) 1.1838E‐06 2.8483E‐06 2 3 lb/TBtu 5.8769E‐07 2.7084E‐06 1Cobalt(Co) 1.2906E‐07 1.0127E‐06 2 2 lb/TBtu 1.8007E‐07 1.7810E‐06 1Lead(Pb) 5.1641E‐06 1.3259E‐04 2 0.0002 lb/MMBtu 2.3467E‐07 8.5869E‐07 1Manganese(Mn) 9.7610E‐07 2.4543E‐06 2 3 lb/TBtu 4.2553E‐07 1.5464E‐06 1Nickel(Ni) 1.8590E‐06 4.1886E‐06 2 5 lb/TBtu 1.4200E‐06 2.6865E‐06 1Selenium(Se) 1.1652E‐05 2.1544E‐05 2 22 lb/TBtu 8.7030E‐06 2.5534E‐05 1Mean(lb/MW) UPL(lb/MW)NumberofunitsinthefloorFloornumberMean(lb/MW) UPL(lb/MW)NumberofunitsinthefloorFloornumberAntimony(Sb) 8.7726E‐07 3.4152E‐06 2 0.004 lb/GWh 3.0816E‐07 9.7937E‐06 1 0.01 lb/GWhArsenic(As) 4.7247E‐06 1.1819E‐05 2 0.02 lb/GWh 2.1773E‐06 7.6135E‐06 1 0.008 lb/GWhBeryllium(Be) 8.4092E‐08 2.1209E‐07 2 0.003 lb/GWh 3.5294E‐08 8.8144E‐08 1 0.00009 lb/GWhCadmium(Cd) 4.3885E‐07 1.2066E‐06 2 0.002 lb/GWh 1.9817E‐07 9.2605E‐07 1 0.001 lb/GWhChromium(Cr) 7.9567E‐06 1.6330E‐05 2 0.02 lb/GWh 5.4949E‐06 2.5323E‐05 1 0.03 lb/GWhCobalt(Co) 8.9184E‐07 3.4531E‐06 2 0.004 lb/GWh 1.0539E‐06 1.0424E‐05 1 0.02 lb/GWhLead(Pb) 4.7874E‐05 2.4820E‐03 2 3 lb/GWh 1.3735E‐06 5.0260E‐06 1 0.006 lb/GWhManganese(Mn) 6.4572E‐06 1.3579E‐05 2 0.02 lb/GWh 3.9787E‐06 1.4459E‐05 1 0.02 lb/GWhNickel(Ni) 1.4899E‐05 4.0371E‐05 2 0.05 lb/GWh 8.3114E‐06 1.5724E‐05 1 0.02 lb/GWhSelenium(Se) 8.3414E‐05 1.3253E‐04 2 0.2 lb/GWh 8.1373E‐05 2.3874E‐04 1 0.3 lb/GWhExistingExistingNewNewSummaryofUPLsusingemissionaverages‐IGCCUnits1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 2.5695E ‐ 08 2 

### 4.4249E ‐ 08 3 

### 3.5938E ‐ 08 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 3.53E-08

3.53E-08 Mean =
Pooled Variance = 8.6376E-17

m= number future runs = 3 Term1 0.6667
Term2 5.7584E-17

Squared root Term2 7.5884E-09 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 8.8144E-08 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 4.3900E ‐ 08 1.0538E ‐ 07 2 

### 4.8900E ‐ 08 5.6323E ‐ 08 3 

### 8.7700E ‐ 09 5.6327E ‐ 08 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 3.39E-08 7.27E-08

5.33E-08 Mean =
Pooled Variance = 9.6435E-16

m= number future runs = 3 Term1 0.5000
Term2 4.8217E-16

Squared root Term2 2.19585E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 1.2716E-07 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 4.3900E ‐ 08 2 

### 4.8900E ‐ 08 3 

### 8.7700E ‐ 09 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 3.39E-08

3.39E-08 Mean =
Pooled Variance = 4.7826E-16

m= number future runs = 3 Term1 0.6667
Term2 3.1884E-16

Squared root Term2 1.7856E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 1.5822E-07 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 2.5695E ‐ 07 9.8535E ‐ 07 2 

### 2.8622E ‐ 07 5.2662E ‐ 07 3 

### 5.1332E ‐ 08 5.2666E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6

N 

###   1 N i i 

### n

 

#  N5
This step is for QC only: means 1.98E-07 6.80E-07

4.39E-07 Mean =
Pooled Variance = 1.0413E-13

m= number future runs = 3 Term1 0.5000
Term2 5.2063E-14

Squared root Term2 2.2817E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 1.2066E-06 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 2.5695E ‐ 07 2 

### 2.8622E ‐ 07 3 

### 5.1332E ‐ 08 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 1.98E-07

1.98E-07 Mean =
Pooled Variance = 1.6384E-14

m= number future runs = 3 Term1 0.6667
Term2 1.0923E-14

Squared root Term2 1.0451E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 9.2605E-07 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 5.0500E-07 1.1754E-07 2 8.9000E-09 6.0265E-08 3 2.6300E-08 5.6327E-08 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 1.80E-07 7.80E-08

1.29E-07 Mean =

Pooled Variance = 3.5297E-14

m= number future runs = 3
Term1 0.5000
Term2 1.7648E-14

Squared root Term2 1.32847E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 3.36 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

1 1  UPL POOLED VARIANCE = 5.7608E-07 New UPL based on log normal distribution calculation 1.0127E-06 2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)Distribution of Normal Tests Distribution of Log Tests Skewness = 2.24E+00 2.84E-01 SE Skewness 1.00 1.00 Skewness Test non-normal normal Kurtosis = 5.18E+00 7.07E-01 SE Kurtosis 2.00 2.00 Kurtosis Test non-normal normal Number of test runs = 6 6 REsult: normal

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)-14.49870741 -15.95644954 -18.53721456 -16.62450889

-17.4536969 -16.69208611UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 5.0500E ‐ 07 2 

### 8.9000E ‐ 09 3 

### 2.6300E ‐ 08 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 1.80E-07

1.80E-07 Mean =
Pooled Variance = 7.9262E-14

m= number future runs = 3 Term1 0.6667
Term2 5.2841E-14

Squared root Term2 2.29872E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 1.7810E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 2.9558E ‐ 06 1.0990E ‐ 06 2 

### 5.2092E ‐ 08 5.6348E ‐ 07 3 

### 1.5394E ‐ 07 5.2666E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6

N 

###   1 N i i 

### n

 

#  N5
This step is for QC only: means 1.05E-06 7.30E-07

8.92E-07 Mean =
Pooled Variance = 1.1587E-12

m= number future runs = 3 Term1 0.5000
Term2 5.7937E-13

Squared root Term2 7.6117E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 3.4531E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 2.9558E ‐ 06 2 

### 5.2092E ‐ 08 3 

### 1.5394E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 1.05E-06

1.05E-06 Mean =
Pooled Variance = 2.7154E-12

m= number future runs = 3 Term1 0.6667
Term2 1.8103E-12

Squared root Term2 1.3455E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 1.0424E-05 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 1010 ORIS/Facility/Unit Polk Wabash River Runs IGCC1 PG7221FA 1 

### 8.7261E ‐ 07 1.6300E ‐ 06 2 

### 7.2487E ‐ 07 1.8200E ‐ 06 3 

### 1.6560E ‐ 07 1.8900E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 5.88E-07 1.78E-06

1.18E-06 Mean =
Pooled Variance = 4.8935E-13

m= number future runs = 3 Term1 0.5000
Term2 2.4467E-13

Squared root Term2 4.9465E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 2.8483E-06 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 ORIS/Facility/Uni t Polk Runs IGCC1 1 

### 8.7261E ‐ 07 2 

### 7.2487E ‐ 07 3 

### 1.6560E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 5.88E-07

5.88E-07 Mean =
Pooled Variance = 1.3908E-13

m= number future runs = 3 Term1 0.6667
Term2 9.2719E-14

Squared root Term2 3.0450E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 2.7084E-06 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 1010 ORIS/Facility/Unit Polk Wabash River Runs IGCC1 PG7221FA 1 

### 8.1589E ‐ 06 9.5405E ‐ 06 2 

### 6.7776E ‐ 06 1.0653E ‐ 05 3 

### 1.5484E ‐ 06 1.1062E ‐ 05 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6

N 

###   1 N i i 

### n

 

#  N5
This step is for QC only: means 5.49E-06 1.04E-05

7.96E-06 Mean =
Pooled Variance = 1.2384E-11

m= number future runs = 3 Term1 0.5000
Term2 6.1919E-12

Squared root Term2 2.4884E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 1.6330E-05 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 ORIS/Facility/Uni t Polk Runs IGCC1 1 

### 8.1589E ‐ 06 2 

### 6.7776E ‐ 06 3 

### 1.5484E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 5.49E-06

5.49E-06 Mean =
Pooled Variance = 1.2159E-11

m= number future runs = 3 Term1 0.6667
Term2 8.1057E-12

Squared root Term2 2.8470E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 2.5323E-05 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 2.2000E ‐ 07 2.4722E ‐ 05 2 

### 1.3300E ‐ 07 3.8550E ‐ 06 3 

### 3.5100E ‐ 07 1.7036E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 2.35E-07 1.01E-05

5.16E-06 Mean =

Pooled Variance = 9.3822E-11

m= number future runs = 3
Term1 0.5000
Term2 4.6911E-11

Squared root Term2 6.8492E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

1 1  UPL POOLED VARIANCE = 2.8211E-05 New UPL based on log normal distribution calculation 0.000132587 2

, 

## 1 1 df p 

## Xt s n m        Distribution of Normal Tests Distribution of Log Tests Skewness = 2.34E+00 6.74E-01 SE Skewness 1.00 1.00 Skewness Test non-normal normal Kurtosis = 5.54E+00 -6.58E-01 SE Kurtosis 2.00 2.00 Kurtosis Test non-normal normal Number of test runs = 6 6 REsult: normal

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)-15.32963829 -10.60783013 -15.83291671 -12.46613704 -14.86247961 -13.28275523UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 2.2000E ‐ 07 2 

### 1.3300E ‐ 07 3 

### 3.5100E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 2.35E-07

2.35E-07 Mean =
Pooled Variance = 1.2042E-14

m= number future runs = 3 Term1 0.6667
Term2 8.0282E-15

Squared root Term2 8.9600E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 8.5869E-07 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

# 

1 1 

## 1 i n N ij i j 

## X x n   

##  

#  

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 1.2877E ‐ 06 2.3115E ‐ 04 2 

### 7.7846E ‐ 07 3.6044E ‐ 05 3 

### 2.0544E ‐ 06 1.5929E ‐ 05 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6

N 

###   1 N i i 

### n

 

#  N5
This step is for QC only: means 1.37E-06 9.44E-05

4.79E-05 Mean =

Pooled Variance = 8.2475E-09

m= number future runs = 3
Term1 0.5000
Term2 4.1237E-09

Squared root Term2 6.4216E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 0.00026396 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 Xt s      New UPL based on log normal distribution calculation 0.00248197 2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MW)Distribution of Normal Tests Distribution of Log Tests Skewness = 2.33E+00 5.48E-01 SE Skewness 1.00 1.00 Skewness Test non-normal normal Kurtosis = 5.52E+00 -1.16E+00 SE Kurtosis 2.00 2.00 Kurtosis Test non-normal normal Number of test runs = 6 6 REsult: normal

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)-13.5626699 -8.372453789 -14.06594832 -10.2307607 -13.09551122 -11.04737888UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 1.2877E ‐ 06 2 

### 7.7846E ‐ 07 3 

### 2.0544E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 1.37E-06

1.37E-06 Mean =
Pooled Variance = 4.1255E-13

m= number future runs = 3 Term1 0.6667
Term2 2.7504E-13

Squared root Term2 5.2444E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 5.0260E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

# 

1 1 

## 1 i n N ij i j 

## X x n   

##  

#  

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 1010 ORIS/Facility/Unit Polk Wabash River Runs IGCC1 PG7221FA 1 

### 6.1841E ‐ 07 1.6700E ‐ 06 2 

### 2.2445E ‐ 07 1.4200E ‐ 06 3 

### 4.3372E ‐ 07 1.4900E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 4.26E-07 1.53E-06

9.76E-07 Mean =
Pooled Variance = 3.8595E-13

m= number future runs = 3 Term1 0.5000
Term2 1.9297E-13

Squared root Term2 4.3929E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 2.4543E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

# 

1 1 

## 1 i n N ij i j 

## X x n   

##  

#  

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 ORIS/Facility/Uni t Polk Runs IGCC1 1 

### 6.1841E ‐ 07 2 

### 2.2445E ‐ 07 3 

### 4.3372E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 4.26E-07

4.26E-07 Mean =
Pooled Variance = 3.8852E-14

m= number future runs = 3 Term1 0.6667
Term2 2.5902E-14

Squared root Term2 1.6094E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 1.5464E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m       

1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 1010 ORIS/Facility/Unit Polk Wabash River Runs IGCC1 PG7221FA 1 

### 5.7821E ‐ 06 9.7746E ‐ 06 2 

### 2.0986E ‐ 06 8.3114E ‐ 06 3 

### 4.0553E ‐ 06 8.7211E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6

N 

###   1 N i i 

### n

 

#  N5
This step is for QC only: means 3.98E-06 8.94E-06

6.46E-06 Mean =
Pooled Variance = 8.9582E-12

m= number future runs = 3 Term1 0.5000
Term2 4.4791E-12

Squared root Term2 2.1164E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 1.3579E-05 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

# 

1 1 

## 1 i n N ij i j 

## X x n   

##  

#  

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 ORIS/Facility/Uni t Polk Runs IGCC1 1 

### 5.7821E ‐ 06 2 

### 2.0986E ‐ 06 3 

### 4.0553E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 3.98E-06

3.98E-06 Mean =
Pooled Variance = 3.3966E-12

m= number future runs = 3 Term1 0.6667
Term2 2.2644E-12

Squared root Term2 1.5048E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 1.4459E-05 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m       

1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 1.6200E ‐ 06 3.2785E ‐ 06 2 

### 1.4600E ‐ 06 2.8313E ‐ 06 3 

### 1.1800E ‐ 06 7.8408E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 1.42E-06 2.30E-06

1.86E-06 Mean =
Pooled Variance = 9.5865E-13

m= number future runs = 3 Term1 0.5000
Term2 4.7933E-13

Squared root Term2 6.9233E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 4.1886E-06 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 1.62E ‐ 06 2 

### 1.46E ‐ 06 3 

### 1.18E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 1.42E-06

1.42E-06 Mean =
Pooled Variance = 4.9600E-14

m= number future runs = 3 Term1 0.6667
Term2 3.3067E-14

Squared root Term2 1.8184E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 2.6865E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 9.4820E ‐ 06 3.0654E ‐ 05 2 

### 8.5455E ‐ 06 2.6473E ‐ 05 3 

### 6.9066E ‐ 06 7.3311E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6

N 

###   1 N i i 

### n

 

#  N5
This step is for QC only: means 8.31E-06 2.15E-05

1.49E-05 Mean =
Pooled Variance = 1.1461E-10

m= number future runs = 3 Term1 0.5000
Term2 5.7304E-11

Squared root Term2 7.5699E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 4.0371E-05 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 9.4820E ‐ 06 2 

### 8.5455E ‐ 06 3 

### 6.9066E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 8.31E-06

8.31E-06 Mean =
Pooled Variance = 1.6992E-12

m= number future runs = 3 Term1 0.6667
Term2 1.1328E-12

Squared root Term2 1.0643E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 1.5724E-05 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 1010 ORIS/Facility/Unit Polk Wabash River Runs IGCC1 PG7221FA 1 

### 7.8459E ‐ 06 1.34E ‐ 05 2 

### 1.1997E ‐ 05 1.79E ‐ 05 3 

### 6.2664E ‐ 06 1.25E ‐ 05 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 8.70E-06 1.46E-05

1.17E-05 Mean =
Pooled Variance = 1.7284E-11

m= number future runs = 3 Term1 0.5000
Term2 8.6422E-12

Squared root Term2 2.9398E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 2.1544E-05 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m       

1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 ORIS/Facility/Uni t Polk Runs IGCC1 1 

### 7.8459E ‐ 06 2 

### 1.1997E ‐ 05 3 

### 6.2664E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 8.70E-06

8.70E-06 Mean =
Pooled Variance = 8.7601E-12

m= number future runs = 3 Term1 0.6667
Term2 5.8401E-12

Squared root Term2 2.4166E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 2.5534E-05 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 1010 ORIS/Facility/Unit Polk Wabash River Runs IGCC1 PG7221FA 1 

### 7.3360E ‐ 05 7.8431E ‐ 05 2 

### 1.1217E ‐ 04 1.0477E ‐ 04 3 

### 5.8591E ‐ 05 7.3164E ‐ 05 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6

N 

###   1 N i i 

### n

 

#  N5
This step is for QC only: means 8.14E-05 8.55E-05

8.34E-05 Mean =
Pooled Variance = 4.2603E-10

m= number future runs = 3 Term1 0.5000
Term2 2.1301E-10

Squared root Term2 1.4595E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 0.000132525 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m       

1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 ORIS/Facility/Uni t Polk Runs IGCC1 1 

### 7.3360E ‐ 05 2 

### 1.1217E ‐ 04 3 

### 5.8591E ‐ 05 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 8.14E-05

8.14E-05 Mean =
Pooled Variance = 7.6583E-10

m= number future runs = 3 Term1 0.6667
Term2 5.1055E-10

Squared root Term2 2.2595E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 0.000238741 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 1010 ORIS/Facility/Unit Polk Wabash River Runs IGCC1 PG7221FA 1 

### 1.1627E ‐ 02 3.3990E ‐ 02 2 

### 1.3584E ‐ 02 3.3780E ‐ 02 3 

### 1.7130E ‐ 02 3.3530E-02 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 1.41E-02 3.38E-02

2.39E-02 Mean =
Pooled Variance = 1.1901E-04

m= number future runs = 3 Term1 0.5000
Term2 5.9504E-05

Squared root Term2 7.7139E-03 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 0.049896726 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 ORIS/Facility/Uni t Polk Runs IGCC1 1 

### 1.1627E ‐ 02 2 

### 1.3584E ‐ 02 3 

### 1.7130E ‐ 02 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 1.41E-02

1.41E-02 Mean =
Pooled Variance = 7.7827E-06

m= number future runs = 3 Term1 0.6667
Term2 5.1885E-06

Squared root Term2 0.002277828 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 0.029977659 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 1010 ORIS/Facility/Unit Polk Wabash River Runs IGCC1 PG7221FA 1 

### 1.0871E ‐ 01 1.9895E ‐ 01 2 

### 1.2701E ‐ 01 1.9772E ‐ 01 3 

### 1.6017E ‐ 01 1.9625E ‐ 01 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 1.32E-01 1.98E-01

1.65E-01 Mean =
Pooled Variance = 1.5669E-03

m= number future runs = 3 Term1 0.5000
Term2 7.8346E-04

Squared root Term2 0.027990344 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 0.258986166 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

# 

1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 ORIS/Facility/Uni t Polk Runs IGCC1 1 

### 1.0871E ‐ 01 2 

### 1.2701E ‐ 01 3 

### 1.6017E ‐ 01 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 1.32E-01

1.32E-01 Mean =
Pooled Variance = 6.8039E-04

m= number future runs = 3 Term1 0.6667
Term2 4.5359E-04

Squared root Term2 0.021297687 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 0.280291115 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        

### primary_fuel ORIS code Plant Name physical_state Unit Number Unit Type Petroleum coke syngas 1010 Wabash River IN PG7221FA IGCC coal gas 7242 Polk FL IGCC1 IGCC

### Boiler_type Boiler_count Total_Capacity_MWe T otal_max_heat_inpu t MW MMBtu/hr IGCC 1 292 1709 IGCC 1 260 2431

### Unit_heat_rate MMBtu/MWh 5.85 9.35

### Fuel types Petroleum coke syngas coal gas

### n timony_Fuel_lb/MMB Antimony ‐ ERT n timony MW ‐ E R Antimony ‐ Part II lb/MMBtu lb/MMBtu lb/MW lb/MMBtu 2.02E ‐ 04 5.27E ‐ 08 3.08E ‐ 07 7.11E ‐ 05 1.34E ‐ 07 1.26E ‐ 06

9.4

### Antimony MW ‐ Part II Antimony ‐ min Antimony MW ‐ min Arsenic_Fuel_lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 5.27E ‐ 08 3.08E ‐ 07 1.35E ‐ 04 1.34E ‐ 07 1.26E ‐ 06 1.49E ‐ 04

### Arsenic ‐ ERT Arsenic MW ‐ ERT Arsenic ‐ Part II r senic MW ‐ Par t Arsenic ‐ min lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 3.72E ‐ 07 2.18E ‐ 06 3.72E ‐ 07 7.78E ‐ 07 7.27E ‐ 06 7.78E ‐ 07

### Arsenic MW ‐ min llium_Fuel_lb/M M Beryllium ‐ ERT Beryllium MW ‐ ERT B eryllium ‐ Part I lb/MW lb/MMBtu lb/MMBtu lb/MW lb/MMBtu 2.18E ‐ 06 6.74E ‐ 05 6.03E ‐ 09 3.53E ‐ 08 7.27E ‐ 06 7.11E ‐ 06 1.42E ‐ 08 1.33E ‐ 07

### Beryllium MW ‐ Part II Beryllium ‐ min B eryllium MW ‐ mi n um_Fuel_lb/ M Cadmium ‐ ERT lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MMBtu 6.03E ‐ 09 3.53E ‐ 08 6.74E ‐ 05 3.39E ‐ 08 1.42E ‐ 08 1.33E ‐ 07 1.42E ‐ 05 7.27E ‐ 08

### C admium MW ‐ ER T Cadmium ‐ Part II d mium MW ‐ Pa r Cadmium ‐ min lb/MW lb/MMBtu lb/MW lb/MMBtu 1.98E ‐ 07 3.39E ‐ 08 6.80E ‐ 07 7.27E ‐ 08

### Cadmium MW ‐ min m ium_Fuel_lb/ M C hromium ‐ ER T r omium MW ‐ E lb/MW lb/MMBtu lb/MMBtu lb/MW 1.98E ‐ 07 5.03E ‐ 04 1.78E ‐ 06 1.04E ‐ 05 6.80E ‐ 07 5.12E ‐ 04 5.88E ‐ 07 5.49E ‐ 06

### Chromium ‐ Part II Chromium MW ‐ Part II lb/MMBtu lb/MW

### Chromium ‐ min Chromium MW ‐ min lb/MMBtu lb/MW 1.78E ‐ 06 1.04E ‐ 05 5.88E ‐ 07 5.49E ‐ 06

### Cobalt_Fuel_lb/MMBtu Cobalt ‐ ERT lb/MMBtu lb/MMBtu 1.91E ‐ 05 1.80E ‐ 07 1.85E ‐ 04 7.80E ‐ 08

### Cobalt MW ‐ ERT Cobalt ‐ Part II lb/MW lb/MMBtu 1.05E ‐ 06 7.30E ‐ 07

### Cobalt MW ‐ Part II Cobalt ‐ min lb/MW lb/MMBtu 1.80E ‐ 07 7.80E ‐ 08

### Cobalt MW ‐ min Lead_Fuel_lb/MMBtu lb/MW lb/MMBtu 1.05E ‐ 06 6.74E ‐ 05 7.30E ‐ 07 1.42E ‐ 04

### Lead ‐ ERT Lead MW ‐ ERT lb/MMBtu lb/MW 2.35E ‐ 07 1.37E ‐ 06 1.01E ‐ 05 9.44E ‐ 05

### Lead ‐ Part II lb/MMBtu

### Lead MW ‐ Part II lb/MW

### Lead ‐ min lb/MMBtu 2.35E ‐ 07 1.01E ‐ 05

### Lead MW ‐ min lb/MW 1.37E ‐ 06 9.44E ‐ 05

### Manganese_Fuel_lb/MMBtu lb/MMBtu 3.51E ‐ 04 7.11E ‐ 06

### Manganese ‐ ERT Manganese MW ‐ ERT lb/MMBtu lb/MW 1.53E ‐ 06 8.94E ‐ 06 4.26E ‐ 07 3.98E ‐ 06

### Manganese ‐ Part II Manganese MW ‐ Part II lb/MMBtu lb/MW

### Manganese ‐ min Manganese MW ‐ min lb/MMBtu lb/MW 1.53E ‐ 06 8.94E ‐ 06 4.26E ‐ 07 3.98E ‐ 06

### Nickel_Fuel_lb/MMBtu Nickel ‐ ERT lb/MMBtu lb/MMBtu 5.87E ‐ 03 1.42E ‐ 06 1.11E ‐ 02 2.30E ‐ 06

### Nickel MW ‐ ERT Nickel ‐ Part II lb/MW lb/MMBtu 8.31E ‐ 06 2.15E ‐ 05

### Nickel MW ‐ Part II Nickel ‐ min Nickel MW ‐ min n ium_Fuel_lb/M M lb/MW lb/MMBtu lb/MW lb/MMBtu 1.42E ‐ 06 8.31E ‐ 06 1.35E ‐ 04 2.30E ‐ 06 2.15E ‐ 05 7.11E ‐ 05

### Selenium ‐ ERT Selenium MW ‐ ER T Selenium ‐ Part II lb/MMBtu lb/MW lb/MMBtu 1.46E ‐ 05 8.55E ‐ 05 8.70E ‐ 06 8.14E ‐ 05

### Selenium MW ‐ Part II Selenium ‐ min Selenium MW ‐ min l_Particulate_Calc ‐ lb/MW lb/MMBtu lb/MW lb/MMBtu 1.46E ‐ 05 8.55E ‐ 05 3.38E ‐ 02 8.70E ‐ 06 8.14E ‐ 05 1.41E ‐ 02

### P articulate_Calc M W Total_Particulate_Calc ‐ Part II a rticulate_Calc M W l_Particulate_Calc ‐ lb/MW lb/MMBtu lb/MW lb/MMBtu 1.98E ‐ 01 3.38E ‐ 02 1.32E ‐ 01 1.41E ‐ 02

### articulate_Calc M Particulate_Metho d rticulate_Method 2 P articulate_Meth o a rticulate_Method 2 lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW 1.98E ‐ 01 2.00E ‐ 02 1.17E ‐ 01 1.32E ‐ 01 1.33E ‐ 03 1.24E ‐ 02

### e Particulate_Meth o a rticulate_Metho d t iculate_Method 5 / u late_Method 5/O T articulate_OTM ‐ lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu

### a rticulate_OTM ‐ 27/ 2 b le PM2_5_OTM ‐ 2 PM2_5_OTM ‐ 27 l e PM2_5_OTM ‐ 27 / P M2_5_OTM ‐ 27/2 8 lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW 4.71E ‐ 03 2.76E ‐ 02 3.77E ‐ 03 3.52E ‐ 02

### s ible Particulate_ M b le Particulate_Met h e Particulate_Meth a rticulate_Metho d ble Particulate_ O lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 1.38E ‐ 02 1.28E ‐ 02

### le Particulate_OT M n sible Particulate

_ b le Particulate_O T ulate_Method 5/O T a te_Method 5/OT M r ticulate_OTM ‐ 27 lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 8.06E ‐ 02 1.20E ‐ 01

### i culate_OTM ‐ 27/28 P articulate_OTM ‐ 2 t iculate_OTM ‐ 28 M (Condensable) ‐ Pa r ondensable) MW ‐ lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW

### ble and Condensa b e and Condensabl e ilterable) ‐ e rable) M W o ndensabl e d ensable) M e and Cond e nd Conden s lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW

### ( Filterable) terable) M W (Filterable) lterable) M n trol_grou p o ntrol_type

_ n stall_date

_ n trol_grou p o ntrol_type

_ n stall_date

_ lb/MMBtu lb/MW lb/MMBtu lb/MW control scrubber ‐ 01 ‐ Oct ‐ 96

### n trol_grou p o ntrol_type

_ n stall_date

_ n trol_grou p o ntrol_type

_ n stall_date

_ n trol_grou p o ntrol_type

_ n stall_date

_ n trol_grou p

### o ntrol_type

_ n stall_date

_ n trol_grou p o ntrol_type

_ n stall_date

_ n trol_grou p o ntrol_type

_ n stall_date

_ n trol_grou p o ntrol_type

_

### n stall_date

_ n trol_group

_ n trol_type

_ s tall_date_ n trol_group

_ n trol_type

_ s tall_date_ n trol_group

_ n trol_type

_ s tall_date_ 1

### 1 27242 1010 ORIS/Facility/Uni t Polk Wabash River Runs IGCC1 PG7221FA 1 

### 7.9410E ‐ 05 2.94E ‐ 04 2 

### 7.9946E ‐ 05 3.08E ‐ 04 3 

### 8.4319E ‐ 05 2.49E ‐ 04 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6

N 

###   1 N i i 

### n

 

#  N5
This step is for QC only: means 8.12E-05 2.84E-04

1.82E-04 Mean =
Pooled Variance = 1.2678E-08

m= number future runs = 3 Term1 0.5000
Term2 6.3389E-09

Squared root Term2 7.96173E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confi

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 4.5035E-04 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)dence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 ORIS/Facility/Uni t Polk Runs IGCC1 1 

### 7.9410E ‐ 05 BDL 2 

### 7.9946E ‐ 05 BDL 3 

### 8.4319E ‐ 05 BDL 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 8.12E-05

8.12E-05 Mean =
Pooled Variance = 7.2505E-12

m= number future runs = 3 Term1 0.6667
Term2 4.8337E-12

Squared root Term2 2.1986E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 9.6537E-05 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        MDL x 3 2.3984E-04 , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 1010 ORIS/Facility/Uni t Polk Wabash River Runs IGCC1 PG7221FA 1 

### 7.4248E ‐ 04 1.7208E ‐ 03 2 

### 7.4750E ‐ 04 1.8027E ‐ 03 3 

### 7.8838E ‐ 04 1.4574E ‐ 03 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6

N 

###   1 N i i 

### n

 

#  N5
This step is for QC only: means 7.59E-04 1.66E-03

1.21E-03 Mean =
Pooled Variance = 2.5675E-07

m= number future runs = 3 Term1 0.5000
Term2 1.2837E-07

Squared root Term2 0.000358292 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 0.002415518 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 2.5695E ‐ 08 1.3535E ‐ 07 2 

### 4.4249E ‐ 08 1.3165E ‐ 07 3 

### 3.5938E ‐ 08 1.3167E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6

N 

###   1 N i i 

### n

 

#  N5
This step is for QC only: means 3.53E-08 1.33E-07

8.41E-08 Mean =
Pooled Variance = 2.8938E-15

m= number future runs = 3 Term1 0.5000
Term2 1.4469E-15

Squared root Term2 3.8038E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 2.1209E-07 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01 )UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 1.93045E-06 3.86272E-06 2 2.31944E-06 2.07527E-06 3 1.80663E-06 1.01744E-06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 2.02E-06 2.32E-06

2.17E-06 Mean =
Pooled Variance = 8.8288E-13

m= number future runs = 3 Term1 0.5000
Term2 4.4144E-13

Squared root Term2 6.64411E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 4.4044E-06 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 1.93045E-06 2 2.31944E-06 3 1.80663E-06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 2.02E-06

2.02E-06 Mean =
Pooled Variance = 7.1602E-14

m= number future runs = 3 Term1 0.6667
Term2 4.7735E-14

Squared root Term2 2.18482E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 3.5405E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 1.12991E-05 3.61165E-05 2 1.35758E-05 1.94038E-05 3 1.05744E-05 9.51307E-06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 1.18E-05 2.17E-05

1.67E-05 Mean =
Pooled Variance = 1.0248E-10

m= number future runs = 3 Term1 0.5000
Term2 5.1240E-11

Squared root Term2 7.1582E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 4.0834E-05 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 1.1299E ‐ 05 2 

### 1.3576E ‐ 05 3 

### 1.0574E ‐ 05 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 1.18E-05

1.18E-05 Mean =
Pooled Variance = 2.4530E-12

m= number future runs = 3 Term1 0.6667
Term2 1.6353E-12

Squared root Term2 1.2788E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 2.0723E-05 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 1.3200E-08 2.6549E-07 2 9.2100E-08 7.1530E-08 3 6.6185E-08 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 2 3 Total Number of sources = 2 n =Total # test runs = 5 1 N i i 

### n

 

#  N4
This step is for QC only: means 5.27E-08 1.34E-07

1.02E-07 Mean =
Pooled Variance = 9.2306E-15

m= number future runs = 3 Term1 0.5333
Term2 4.9230E-15

Squared root Term2 7.01642E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.75 UPL POOLED VARIANCE = 3.6460E-07 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 1.3200E ‐ 08 2 

### 9.2100E ‐ 08 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 2 0 Total Number of sources = 1
n =Total # test runs = 2 1 N i i 

### n

 

#  N1
This step is for QC only: means 5.27E-08 #DIV/0!

5.27E-08 Mean =
Pooled Variance = 3.1126E-15

m= number future runs = 3 Term1 0.8333
Term2 2.5938E-15

Squared root Term2 5.09297E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 31.82051595 UPL POOLED VARIANCE = 1.67326E-06 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

#  

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0!

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)0 00 0 000

UPL Pooled Variance= 

### 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 7.7261E ‐ 08 2.4823E ‐ 06 2 

### 5.3907E ‐ 07 6.6880E ‐ 07 3 

### 6.1883E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 2 3 Total Number of sources = 2 n =Total # test runs = 5 1 N i i 

### n

 

#  N4
This step is for QC only: means 3.08E-07 1.26E-06

8.77E-07 Mean =
Pooled Variance = 8.6020E-13

m= number future runs = 3 Term1 0.5333
Term2 4.5878E-13

Squared root Term2 6.7733E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.75 UPL POOLED VARIANCE = 3.4152E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 7.7261E ‐ 08 2 

### 5.3907E ‐ 07 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 2 Total Number of sources = 1 n =Total # test runs = 2

N 

###   1 N i i 

### n

 

#  N1
This step is for QC only: means 3.08E-07

3.08E-07 Mean =
Pooled Variance = 1.0663E-13

m= number future runs = 3 Term1 0.8333
Term2 8.8861E-14

Squared root Term2 2.9810E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 31.82 UPL POOLED VARIANCE = 9.7937E-06 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

#  

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 1.9800E ‐ 07 7.8720E ‐ 07 2 

### 3.9600E ‐ 07 9.1806E ‐ 07 3 

### 5.2200E ‐ 07 6.2805E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 3.72E-07 7.78E-07

5.75E-07 Mean =
Pooled Variance = 6.8503E-14

m= number future runs = 3 Term1 0.5000
Term2 3.4251E-14

Squared root Term2 1.85071E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 1.1976E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 1.9800E ‐ 07 2 

### 3.9600E ‐ 07 3 

### 5.2200E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 3.72E-07

3.72E-07 Mean =
Pooled Variance = 2.6676E-14

m= number future runs = 3 Term1 0.6667
Term2 1.7784E-14

Squared root Term2 1.33357E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 1.3008E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        5
This step is for QC only: means 2.18E-06 7.27E-06

4.72E-06 Mean =
Pooled Variance = 8.8903E-12

m= number future runs = 3 Term1 0.5000
Term2 4.4451E-12

Squared root Term2 2.1083E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 1.1819E-05 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 1.1589E ‐ 06 2 

### 2.3178E ‐ 06 3 

### 3.0553E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 2.18E-06

2.18E-06 Mean =
Pooled Variance = 9.1388E-13

m= number future runs = 3 Term1 0.6667
Term2 6.0925E-13

Squared root Term2 7.8055E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 7.6135E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 4.3900E ‐ 09 1.4476E ‐ 08 2 

### 7.5600E ‐ 09 1.4081E ‐ 08 3 

### 6.1400E ‐ 09 1.4082E ‐ 08 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 6.03E-09 1.42E-08

1.01E-08 Mean =
Pooled Variance = 2.1117E-17

m= number future runs = 3 Term1 0.5000
Term2 1.0558E-17

Squared root Term2 3.24937E-09 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 2.1055E-08 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 4.3900E ‐ 09 2 

### 7.5600E ‐ 09 3 

### 6.1400E ‐ 09 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 6.03E-09

6.03E-09 Mean =
Pooled Variance = 2.5213E-18

m= number future runs = 3 Term1 0.6667
Term2 1.6809E-18

Squared root Term2 1.29648E-09 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 1.5059E-08 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        

### primary_fuel ORIS code Plant Name physical_state Unit Number Unit Type Petroleum coke syngas 1010 Wabash River IN PG7221FA IGCC coal gas 7242 Polk FL IGCC1 IGCC

### Boiler_type Boiler_count Total_Capacity_MWe Total_max_heat_input Unit_heat_rate MW MMBtu/hr MMBtu/MWh IGCC 1 292 1709 5.85 IGCC 1 260 2431 9.35

### Fuel types Antimony_Fuel_lb/MMBtu Antimony ‐ ERT Antimony MW ‐ ERT lb/MMBtu lb/MMBtu lb/MW Petroleum coke syngas 2.02E ‐ 04 5.27E ‐ 08 3.08E ‐ 07 coal gas 7.11E ‐ 05 1.34E ‐ 07 1.26E ‐ 06

### Antimony ‐ Part II Antimony MW ‐ Part II Antimony ‐ min Antimony MW ‐ min lb/MMBtu lb/MW lb/MMBtu lb/MW 5.27E ‐ 08 3.08E ‐ 07 1.34E ‐ 07 1.26E ‐ 06

### Arsenic_Fuel_lb/MMBtu Arsenic ‐ ERT Arsenic MW ‐ ERT Arsenic ‐ Part II Arsenic MW ‐ Part II lb/MMBtu lb/MMBtu lb/MW lb/MMBtu lb/MW 1.35E ‐ 04 3.72E ‐ 07 2.18E ‐ 06 1.49E ‐ 04 7.78E ‐ 07 7.27E ‐ 06

### Arsenic ‐ min Arsenic MW ‐ min Beryllium_Fuel_lb/MMBtu Beryllium ‐ ERT Beryllium MW ‐ ERT lb/MMBtu lb/MW lb/MMBtu lb/MMBtu lb/MW 3.72E ‐ 07 2.18E ‐ 06 6.74E ‐ 05 6.03E ‐ 09 3.53E ‐ 08 7.78E ‐ 07 7.27E ‐ 06 7.11E ‐ 06 1.42E ‐ 08 1.33E ‐ 07

### Beryllium ‐ Part II Beryllium MW ‐ Part II Beryllium ‐ min Beryllium MW ‐ min lb/MMBtu lb/MW lb/MMBtu lb/MW 6.03E ‐ 09 3.53E ‐ 08 1.42E ‐ 08 1.33E ‐ 07

### Cadmium_Fuel_lb/MMBtu Cadmium ‐ ERT Cadmium MW ‐ ERT Cadmium ‐ Part II lb/MMBtu lb/MMBtu lb/MW lb/MMBtu 6.74E ‐ 05 3.39E ‐ 08 1.98E ‐ 07 1.42E ‐ 05 7.27E ‐ 08 6.80E ‐ 07

### Cadmium MW ‐ Part II Cadmium ‐ min Cadmium MW ‐ min Chromium_Fuel_lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 3.39E ‐ 08 1.98E ‐ 07 5.03E ‐ 04 7.27E ‐ 08 6.80E ‐ 07 5.12E ‐ 04

### Chromium ‐ ERT Chromium MW ‐ ERT Chromium ‐ Part II Chromium MW ‐ Part II Chromium ‐ min lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 1.78E ‐ 06 1.04E ‐ 05 1.78E ‐ 06 5.88E ‐ 07 5.49E ‐ 06 5.88E ‐ 07

### Chromium MW ‐ min Cobalt_Fuel_lb/MMBtu Cobalt ‐ ERT Cobalt MW ‐ ERT Cobalt ‐ Part II lb/MW lb/MMBtu lb/MMBtu lb/MW lb/MMBtu 1.04E ‐ 05 1.91E ‐ 05 1.80E ‐ 07 1.05E ‐ 06 5.49E ‐ 06 1.85E ‐ 04 7.80E ‐ 08 7.30E ‐ 07

### Cobalt MW ‐ Part II Cobalt ‐ min Cobalt MW ‐ min Lead_Fuel_lb/MMBtu Lead ‐ ERT Lead MW ‐ ER T lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MMBtu lb/MW 1.80E ‐ 07 1.05E ‐ 06 6.74E ‐ 05 2.35E ‐ 07 1.37E ‐ 06 7.80E ‐ 08 7.30E ‐ 07 1.42E ‐ 04 1.01E ‐ 05 9.44E ‐ 05

### Lead ‐ Part II Lead MW ‐ Part II Lead ‐ min Lead MW ‐ min Manganese_Fuel_lb/MMBtu lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 2.35E ‐ 07 1.37E ‐ 06 3.51E ‐ 04 1.01E ‐ 05 9.44E ‐ 05 7.11E ‐ 06

### Manganese ‐ ER T Manganese MW ‐ ER T Manganese ‐ Part II Manganese MW ‐ Part II lb/MMBtu lb/MW lb/MMBtu lb/MW 1.53E ‐ 06 8.94E ‐ 06 4.26E ‐ 07 3.98E ‐ 06

### Manganese ‐ min Manganese MW ‐ min Nickel_Fuel_lb/MMBtu Nickel ‐ ERT Nickel MW ‐ ERT lb/MMBtu lb/MW lb/MMBtu lb/MMBtu lb/MW 1.53E ‐ 06 8.94E ‐ 06 5.87E ‐ 03 1.42E ‐ 06 8.31E ‐ 06 4.26E ‐ 07 3.98E ‐ 06 1.11E ‐ 02 2.30E ‐ 06 2.15E ‐ 05

### Nickel ‐ Part II Nickel MW ‐ Part II Nickel ‐ min Nickel MW ‐ min Selenium_Fuel_lb/MMBtu lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 1.42E ‐ 06 8.31E ‐ 06 1.35E ‐ 04 2.30E ‐ 06 2.15E ‐ 05 7.11E ‐ 05

### Selenium ‐ ERT Selenium MW ‐ ERT Selenium ‐ Part II Selenium MW ‐ Part II Selenium ‐ min lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 1.46E ‐ 05 8.55E ‐ 05 1.46E ‐ 05 8.70E ‐ 06 8.14E ‐ 05 8.70E ‐ 06

### Selenium MW ‐ min Total Metals ‐ ERT Total Metals MW ‐ ERT lb/MW lb/MMBtu lb/MW 8.55E ‐ 05 2.02E ‐ 05 1.18E ‐ 04 8.14E ‐ 05 2.32E ‐ 05 2.17E ‐ 04 5.85E+00 9.35E+00

### Filterable Particulate_Method 29 ‐ ERT Filterable Particulate_Method 29 MW ‐ ERT lb/MMBtu lb/MW 2.00E-02 1.17E-01 1.33E-03 1.24E-02

### Filterable Particulate_Method 5 ‐ ERT Filterable Particulate_Method 5 MW ‐ ERT lb/MMBtu lb/MW

### Filterable Particulate_Method 5/OTM ‐ 28 ‐ ERT Filterable Particulate_Method 5/OTM ‐ 28 MW ‐ ERT lb/MMBtu lb/MW

### Filterable Particulate_OTM ‐ 27/28 ‐ ERT Filterable Particulate_OTM ‐ 27/28 MW ‐ ERT lb/MMBtu lb/MW

### Filterable PM2_5_OTM ‐ 27 ‐ ERT Filterable PM2_5_OTM ‐ 27 MW ‐ ERT lb/MMBtu lb/MW

### Filterable PM2_5_OTM ‐ 27/28 ‐ ERT Filterable PM2_5_OTM ‐ 27/28 MW ‐ ERT lb/MMBtu lb/MW 4.71E ‐ 03 2.76E ‐ 02 3.77E ‐ 03 3.52E ‐ 02

### PM2_5 Condensible Particulate_Method 202 ‐ ERT lb/MMBtu

### PM2_5 Condensible Particulate_Method 202 MW ‐ ERT lb/MW

### PM2_5 Condensible Particulate_Method 5/OTM ‐ 28 ‐ ERT lb/MMBtu

### PM2_5 Condensible Particulate_Method 5/OTM ‐ 28 MW ‐ ERT lb/MW

### PM2_5 Condensible Particulate_OTM ‐ 27/28 ‐ ERT lb/MMBtu 1.38E ‐ 02 1.28E ‐ 02

### PM2_5 Condensible Particulate_OTM ‐ 27/28 MW ‐ ERT lb/MW 8.06E ‐ 02 1.20E ‐ 01

### PM2_5 Condensible Particulate_OTM ‐ 28 ‐ ERT PM2_5 Condensible Particulate_OTM ‐ 28 MW ‐ ERT lb/MMBtu lb/MW

### Total Particulate_Method 5/OTM ‐ 28 ‐ ERT Total Particulate_Method 5/OTM ‐ 28 MW ‐ ERT lb/MMBtu lb/MW

### Total Particulate_OTM ‐ 27/28 ‐ ERT Total Particulate_OTM ‐ 27/28 MW ‐ ERT lb/MMBtu lb/MW

### Total Particulate_OTM ‐ 28 ‐ ERT Total Particulate_OTM ‐ 28 MW ‐ ERT PM (Condensable) ‐ Part II lb/MMBtu lb/MW lb/MMBtu

### PM (Condensable) MW ‐ Part II PM (Filterable and Condensable) ‐ Part II lb/MW lb/MMBtu

### PM (Filterable and Condensable) MW ‐ Part II PM (Filterable) ‐ Part II PM (Filterable) MW ‐ Part II lb/MW lb/MMBtu lb/MW

### PM10 (Condensable) ‐ Part II PM10 (Condensable) MW ‐ Part II lb/MMBtu lb/MW

### PM10 (Filterable and Condensable) ‐ Part II PM10 (Filterable and Condensable) MW ‐ Part II lb/MMBtu lb/MW

### PM10 (Filterable) ‐ Part II PM10 (Filterable) MW ‐ Part II PM2_5 (Filterable) ‐ Part II lb/MMBtu lb/MW lb/MMBtu

### PM2_5 (Filterable) MW ‐ Part II control_group_1 control_type_1 install_date_1 lb/MW PM control PM scrubber ‐ Syngas PM scrubbing 01
‐ Oct ‐ 96

### control_group_2 control_type_2 install_date_2 control_group_3 control_type_3 install_date_3

### control_group_4 control_type_4 install_date_4 control_group_5 control_type_5 install_date_5

### control_group_6 control_type_6 install_date_6 control_group_7 control_type_7 install_date_7

### control_group_8 control_type_8 install_date_8 control_group_9 control_type_9 install_date_9

### control_group_10 control_type_10 install_date_10 control_group_11 control_type_11

### install_date_11 control_group_12 control_type_12 install_date_121010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 1.2500E-07 DLL 2 9.7800E-07 3 1.0200E-07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 4.02E-07

4.02E-07 Mean =
Pooled Variance = 2.4925E-13

m= number future runs = 3 Term1 0.6667
Term2 1.6617E-13

Squared root Term2 4.07637E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 3.2407E-06 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 ORIS/Facility/Uni t Wabash River Runs PG7221FA 1 

### 7.3164E ‐ 07 DLL 2 

### 5.7243E ‐ 06 3 

### 5.9701E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2
This step is for QC only: means 2.35E-06

2.35E-06 Mean =
Pooled Variance = 8.5390E-12

m= number future runs = 3 Term1 0.6667
Term2 5.6927E-12

Squared root Term2 2.38594E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 1.8968E-05 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2

, 

## 1 1 df p 

## Xt s n m        , df p 

## Xt s n m      Emissions (lb/MW)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        

### primary_fuel ORIS code Plant Name physical_state Unit Number Petroleum coke syngas 1010 Wabash River IN PG7221FA coal gas 7242 Polk FL IGCC1

### Unit Type Boiler_Type Boiler_count Total_Capacity_MWe MW IGCC IGCC 1 292 IGCC IGCC 1 260

### Total_max_heat_inpu t Unit_heat_rate Fuel_types Fuel_Conc_lb/MMBtu MMBtu/hr Mmbtu/MWh lb/MMBtu 1709 5.85 Petroleum coke syngas 9.67E ‐ 07 2431 9.35 coal gas 4.23E ‐ 06

### Mercury ‐ ERT ercury MW ‐ E R M ercury ‐ ETT S ercury MW ‐ ETMercury ‐ CEMS Mercury ‐ Part II lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MMBtu 4.02E ‐ 07 2.35E ‐ 06 1.23E ‐ 06 1.15E ‐ 05

### ercury MW ‐ Par t Mercury ‐ min control_group_1 control_type_1 lb/MW lb/MMBtu 4.02E ‐ 07 1.23E ‐ 06 PM control PM scrubber ‐

### install_date_1 control_group_ 2 control_type_2
01 ‐ Oct ‐ 96

### install_date_2 control_group_ 3 control_type_3

### install_date_3 control_group_ 4 control_type_4 install_date_4 control_group_ 5

### control_type_5 install_date_5 control_group_ 6 control_type_6 install_date_6 control_group_ 7

### control_type_7 install_date_7 control_group_ 8 control_type_8 install_date_8 control_group_ 9

### control_type_9 install_date_9 c ontrol_group_1 0 control_type_10 install_date_10 control_group_1 1

### control_type_11 install_date_11 control_group_1 2 control_type_12 install_date_121010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 1.2500E-07 1.2400E-06 2 9.7800E-07 1.4200E-06 3 1.0200E-07 1.0400E-06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 4.02E-07 1.23E-06

8.18E-07 Mean =
Pooled Variance = 3.2166E-13

m= number future runs = 3 Term1 0.5000
Term2 1.6083E-13

Squared root Term2 4.01033E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 2.1669E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## Xt s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MMBtu)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        1010 7242 ORIS/Facility/Unit Wabash River Polk Runs PG7221FA IGCC1 1 

### 7.3164E ‐ 07 1.1594E ‐ 05 2 

### 5.7243E ‐ 06 1.3277E ‐ 05 3 

### 5.9701E ‐ 07 9.7240E ‐ 06 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 2 n =Total # test runs = 6 1 N i i 

### n

 

#  N5
This step is for QC only: means 2.35E-06 1.15E-05

6.94E-06 Mean =
Pooled Variance = 2.9965E-11

m= number future runs = 3 Term1 0.5000
Term2 1.4982E-11

Squared root Term2 3.8707E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 3.36 UPL POOLED VARIANCE = 1.9966E-05 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

# 1 i n i ik k i 

# x x n  

#  

# 

2 

## 1 1 df p 

## X t s        2

, 

## 1 1 df p 

## Xt s n m        Emissions (lb/MW)UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        7242 ORIS/Facility/Unit Polk Runs IGCC1 1 

### 7.4248E ‐ 04 BDL 2 

### 7.4750E ‐ 04 BDL 3 

### 7.8838E ‐ 04 BDL 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###  



#  1 N i i 

### n

 

#  N2
This step is for QC only: means 7.59E-04

7.59E-04 Mean =
Pooled Variance = 6.3386E-10

m= number future runs = 3 Term1 0.6667
Term2 4.2257E-10

Squared root Term2 2.05565E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 

### 6.96 UPL POOLED VARIANCE = 9.0262E-04 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

## t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2

, 

## 1 1 df p 

## Xt s n m        MDL x 3 2.2425E-03 , df p 

## Xt s n m      UPL Pooled Variance= 2

, 

# 1 1 df p 

# Xt s n m        

### primary_fuel ORIS code Plant Name physical_state Unit Number Petroleum coke syngas 1010 Wabash River IN PG7221FA coal gas 7242 Polk FL IGCC1

### Unit Type Boiler_type Boiler_count IGCC IGCC 1 IGCC IGCC 1

### Total_Capacity_MWe Total_max_heat_input Unit_heat_rate MW MMBtu/hr Mmbtu/MWh 292 1709 5.85 260 2431 9.35

### Fuel types Fuel_Cl_lb/MMBtu lb/MMBtu Petroleum coke syngas 1.58E ‐ 02 coal gas 1.64E ‐ 02

### Fuel_F_lb/MMBtu Chlorine ‐ ERT Chlorine MW ‐ ERT Chlorine ‐ ETTS h lorine MW ‐ E T lb/MMBtu lb/MMBtu lb/MW lb/MMBtu lb/MW 6.77E ‐ 04 7.11E ‐ 03

### Chlorine ‐ Part II h lorine MW ‐ Par t Chlorine ‐ min Chlorine MW ‐ min lb/MMBtu lb/MW lb/MMBtu lb/MW

### HCN ‐ ERT HCN MW ‐ ERT lb/MMBtu lb/MW

### HCN ‐ ETTS HCN MW ‐ ETTS lb/MMBtu lb/MW 3.21E ‐ 05 1.88E ‐ 04 5.19E ‐ 05 4.85E ‐ 04

### HCN ‐ Part II HCN MW ‐ Part II lb/MMBtu lb/MW

### HCN ‐ min HCN MW ‐ min lb/MMBtu lb/MW 3.21E ‐ 05 1.88E ‐ 04 5.19E ‐ 05 4.85E ‐ 04

### Hydrogen Chloride ‐ ERT Hydrogen Chloride MW ‐ ERT lb/MMBtu lb/MW 2.84E ‐ 04 1.66E ‐ 03 8.12E ‐ 05 7.59E ‐ 04

### Hydrogen Chloride ‐ ETTS H ydrogen Chloride MW ‐ ETT S lb/MMBtu lb/MW

### Hydrogen Chloride ‐ Part II Hydrogen Chloride MW ‐ Part II Hydrogen Chloride ‐ min lb/MMBtu lb/MW lb/MMBtu 2.84E ‐ 04 8.12E ‐ 05

### Hydrogen Chloride MW ‐ min Hydrogen Fluoride ‐ ERT d rogen Fluoride MW ‐ lb/MW lb/MMBtu lb/MW 1.66E ‐ 03 1.71E ‐ 04 9.99E ‐ 04 7.59E ‐ 04 8.32E ‐ 05 7.78E ‐ 04

### y drogen Fluoride ‐ ET T Hydrogen Fluoride MW ‐ ETTS y drogen Fluoride ‐ Par t lb/MMBtu lb/MW lb/MMBtu

### r ogen Fluoride MW ‐ P y drogen Fluoride ‐ m d rogen Fluoride MW ‐ Sulfur Dioxide ‐ CEM S lb/MW lb/MMBtu lb/MW lb/MMBtu 1.71E ‐ 04 9.99E ‐ 04 8.32E ‐ 05 7.78E ‐ 04

### Sulfur Dioxide MW ‐ CEMS Sulfur Dioxide ‐ ERT u lfur Dioxide MW ‐ E R S ulfur Dioxide ‐ ETT S lb/MW lb/MMBtu lb/MW lb/MMBtu 4.52E+01 2.64E+02

### u lfur Dioxide MW ‐ ET T Sulfur Dioxide ‐ Part I I f ur Dioxide MW ‐ Pa Sulfur Dioxide ‐ min u lfur Dioxide MW ‐ m i lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW 4.52E+01 2.64E+02

### control_group_1 control_type_1 install_date_1 control_group_2 control_type_2
PM control PM scrubber ‐ Syngas 01 ‐ Oct ‐ 96

### install_date_2 control_group_3 control_type_3 install_date_3

### control_group_4 control_type_4 install_date_4 control_group_5

### control_type_5 install_date_5 control_group_6 control_type_6 n stall_date

_ n trol_grou p

### o ntrol_type

_ n stall_date

_ n trol_grou p o ntrol_type

_ n stall_date

_ n trol_grou p o ntrol_type

_ n stall_date

_ trol_group

_

### n trol_type

_ s tall_date_ trol_group

_ n trol_type

_ s tall_date_ trol_group

_ n trol_type

_ s tall_date_12