**Pollutant Mean**  **(lb/MMBtu) UPL** 

**(lb/MMBtu) Number of** 

**units in the floor**  **Floor value Is Floor**  **= 3 x BDL?**  **Mean (lb/MMBtu)**  **UPL**

**(lb/MMBtu) Number of** 

**units in the floor**  Mercury 9.1481E-07 2.4877E-06 2 2.49 2.50 2.5E+00 lb/TBtu 4.0167E-07 3.2407E-06 1 Total Metals 2.3539E-05 5.0551E-05 2 0.000051 0.000060 6.0E-05 lb/MMBtu No 2.0188E-05 3.5405E-05 1 Filterable PM 1.0772E-02 3.5195E-02 2 0.0352 0.040 4.0E-02 lb/MMBtu No 1.5440E-03 7.4967E-03 1 Acid gases -- HCl 1.8795E-04 4.4175E-04 2 0.00044 0.0005 5.0E-04 lb/MMBtu No 9.2226E-05 1.0888E-04 1

**Pollutant Mean** 

**(lb/MW) UPL** 

**(lb/MW) Number of** 

**units in the floor**  **Floor value Is Floor**  **= 3 x BDL?**  **Mean (lb/MW)**  **UPL (lb/MW) Number of**  **units in the floor**  **Floor value Is Floor = 3**  **x BDL?**

Mercury 9.0777E-06 2.4576E-05 2 0.000025 0.030 3.0E-02 lb/GWh 4.0666E-06 3.2809E-05 1 0.033 0.040 4.0E-02lb/GWh Total Metals 2.3485E-04 4.9940E-04 2 0.00050 0.50 5.0E-01 lb/GWh No 2.0439E-04 3.5845E-04 1 0.358 0.40 4.0E-01lb/GWh No Filterable PM 1.0886E-01 3.5661E-01 2 0.357 0.40 4.0E-01 lb/MWh No 1.5233E-02 7.3966E-02 1 0.074 0.080 8.0E-02lb/MWh No Acid gases -- HCl 1.8909E-03 4.4910E-03 2 0.0045 0.0050 5.0E-03 lb/MWh No 9.0994E-04 1.0743E-03 1 0.0011 0.00202.0E-03lb/MWh No **Summary of UPLs using emission averages - IGCC Units**

**New Existing**  **New Existing** 1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 1.2500E-07 1.4402E-06 2 9.7800E-07 1.6524E-06 3 1.0200E-07 1.1913E-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 4.02E-07 1.43E-06

9.15E-07 Mean =

Pooled Variance = 4.3699E-13

m=number future runs = 3
Term1 0.5000

Term2 2.1849E-13

Squared root Term2 4.67433E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 2.4877E-06



#  2 2 1 

## 11 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 

## X t s n m

   

   **Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** 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



### 1 N i 

### df 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 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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 

## 11 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 

## X t s n m

   

   UPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 1.2655E-06 1.4210E-05 2 

### 9.9015E-06 1.6303E-05 3 

### 1.0327E-06 1.1754E-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 4.07E-06 1.41E-05

9.08E-06 Mean =

Pooled Variance = 4.2427E-11

m=number future runs = 3
Term1 0.5000

Term2 2.1214E-11

Squared root Term2 4.60583E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 2.4576E-05



#  2 2 1 

## 11 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 dfp 

## X t s n m

   

   **Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** Wabash River **Runs** PG7221FA 1 

### 1.2655E-06 DLL 2 

### 9.9015E-06 3 

### 1.0327E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 4.07E-06

4.07E-06 Mean =

Pooled Variance = 2.5548E-11

m=number future runs = 3
Term1 0.6667

Term2 1.7032E-11

Squared root Term2 4.12702E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 3.28095E-05



#  2 2 1 

## 11 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 

## X t s n m

   

   **Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   

### primary_fuel ORIS code Plant Name physical_state Unit Number

Petroleum coke syngas 1010Wabash River IN PG7221FA coal gas 7242Polk FL IGCC1

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

### Total_max_heat_input Unit_heat_rate Fuel_types Fuel_Conc_lb/MMBtu

**MMBtu/hr Mmbtu/MWh**  **lb/MMBtu**

1709 10.12Petroleum coke syngas 9.67E-07 2431 9.87coal gas 4.23E-06

### Mercury - ERT Mercury MW - ERT

Mercury - ETTS

Mercury MW - ETTS

Mercury - CEMS Mercury - Part II **lb/MMBtu lb/MW**  **lb/MMBtu lb/MW**  **lb/MMBtu lb/MMBtu**  4.02E-07 4.07E-06 1.43E-06 1.41E-05

### Mercury MW - Part II Mercury - min Mercury - min control_group_1

**lb/MW lb/MMBtu**  **lb/MW** 4.02E-07 4.07E-06 1.23E-06 1.41E-05PM control

### control_type_1 install_date_1 control_group_2

PM scrubber - Syngas PM scrubbing 35339

### 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 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 1.93045E-05 4.48649E-05 2 2.31944E-05 2.41484E-05 3 1.80663E-05 1.16544E-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 2.02E-05 2.69E-05

2.35E-05 Mean =

Pooled Variance = 1.2888E-10

m=number future runs = 3
Term1 0.5000

Term2 6.4441E-11

Squared root Term2 8.0275E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 5.0551E-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  

#  

# Total 3xRDL, 4dscm sample volume 1.08407E-05 Floor Value 5.0551E-05**Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 1.60E+00 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = 3.36E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** Wabash River **Runs** PG7221FA 1 1.93045E-05 2 2.31944E-05 3 1.80663E-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



### 1 N i 

### df n       

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 2.02E-05

2.02E-05 Mean =

Pooled Variance = 7.1602E-12

m=number future runs = 3
Term1 0.6667

Term2 4.7735E-12

Squared root Term2 2.18482E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 3.5405E-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 

## X t s n m

   

   Total 3xRDL, 4dscm sample volume 1.08407E-05 Floor Value 3.5405E-05**Emissions (lb/MMBtu)**UPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 1.9544E-04 4.4266E-04 2 2.3483E-04 2.3826E-04 3 1.8291E-04 1.1499E-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 2.04E-04 2.65E-04

2.35E-04 Mean =

Pooled Variance = 1.2363E-08

m=number future runs = 3
Term1 0.5000

Term2 6.1813E-09

Squared root Term2 7.8621E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 4.9940E-04



#  2 2 1 

## 11 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 

## X t s n m

   

   Total 3xRDL, 4dscm sample volume 0.000108407 Floor Value 4.9940E-04 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 1.54E+00 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = 3.28E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/MWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** Wabash River **Runs** PG7221FA 1 

### 1.9544E-04 2 

### 2.3483E-04 3 

### 1.8291E-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 Total Number of sources = 1 n =Total # test runs = 3



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 2.04E-04

2.04E-04 Mean =

Pooled Variance = 7.3392E-10

m=number future runs = 3
Term1 0.6667

Term2 4.8928E-10

Squared root Term2 2.21197E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 3.5845E-04



#  2 2 1 

## 11 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 

## X t s n m

   

   Total 3xRDL, 4dscm sample volume 0.000108407 Floor Value 3.5845E-01**Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t 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 Boiler_heat_rate**  **MW MMBtu/hr**  **MMBtu/MWh** IGCC 1 292 1709 10.12 IGCC 1 260 2431 9.87

### 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 5.33E-07 coal gas 7.11E-05 1.56E-07 1.54E-06

### Antimony - Part II **Antimony MW - Part II Antimony - min**  **Antimony MW - min**

**lb/MMBtu lb/MW**  **lb/MMBtu lb/MW**  5.27E-08 5.33E-07 1.56E-07 1.54E-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 3.77E-06 1.49E-04 9.01E-07 8.89E-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 3.77E-06 6.74E-05 6.03E-09 6.10E-08 9.01E-07 8.89E-06 7.11E-06 1.64E-08 1.62E-07

### Beryllium - Part II **Beryllium MW - Part II Beryllium - min**  **Beryllium MW - min**

**lb/MMBtu lb/MW**  **lb/MMBtu lb/MW**  6.03E-09 6.10E-08 1.64E-08 1.62E-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 3.43E-07 1.42E-05 8.42E-08 8.30E-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 3.43E-07 5.03E-04 8.42E-08 8.30E-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 1.80E-05 1.78E-06 6.82E-07 6.73E-06 6.82E-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** 1.80E-05 1.91E-05 1.80E-07 1.82E-06 6.73E-06 1.85E-04 9.04E-08 8.92E-07

### Cobalt MW - Part II **Cobalt - min Cobalt MW - min**  **Lead_Fuel_lb/MMBtu Lead - ERT**  **Lead MW - ERT**

**lb/MW lb/MMBtu**  **lb/MW lb/MMBtu**  **lb/MMBtu lb/MW** 

1.80E-07 1.82E-06 6.74E-05 2.35E-07 2.38E-06 9.04E-08 8.92E-07 1.42E-04 1.17E-05 1.16E-04

### 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 2.38E-06 3.51E-04 1.17E-05 1.16E-04 7.11E-06

### Manganese - ERT **Manganese MW - ERT Manganese - Part II**  **Manganese MW - Part II**

**lb/MMBtu lb/MW**  **lb/MMBtu lb/MW**  1.53E-06 1.55E-05 4.92E-07 4.86E-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 1.55E-05 5.87E-03 1.42E-06 1.44E-05 4.92E-07 4.86E-06 1.11E-02 2.67E-06 2.63E-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 1.44E-05 1.35E-04 2.67E-06 2.63E-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 1.48E-04 1.46E-05 1.01E-05 9.95E-05 1.01E-05

### Selenium MW - min **Total Metals -ERT Total Metals MW -ERT** 

**lb/MW lb/MMBtu**  **lb/MW** 1.48E-04 2.02E-05 2.04E-04 9.95E-05 2.69E-05 2.65E-04

### Filterable Particulate_Method 29 - ERT **Filterable Particulate_Method 29 MW - ERT lb/MMBtu**  **lb/MW** 2.00E-02 2.02E-01 1.54E-03 1.52E-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**

### 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**

### PM2_5 Condensible Particulate_OTM - 27/28 MW - ERT **lb/MW**

### 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_12**1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 1.3200E-08 3.0836E-07 2 9.2100E-08 8.3234E-08 3 7.5812E-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

N 

###   

#  1

N i i 

### n

 

#  N4

This step is for QC only: means 5.27E-08 1.56E-07

1.15E-07 Mean =

Pooled Variance = 1.2705E-14

m=number future runs = 3
Term1 0.5333

Term2 6.7759E-15

Squared root Term2 8.2316E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.75
UPL POOLED VARIANCE = 4.2298E-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 

## X t s n m

   

   Sb 3xRDL, 4dscm sample volume 1.3235E-06 Floor Value 1.3235E-06 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 1.79E+00 #DIV/0! SE Skewness 1.10 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = 3.77E+00 #DIV/0! SE Kurtosis 2.19 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 5 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** 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

N 

###   

#  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 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 31.82051595
UPL POOLED VARIANCE = 1.6733E-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 

## X t s n m

   

   Sb 3xRDL, 4dscm sample volume 1.3235E-06 Floor Value 1.6733E-060 0 0 0 0 0 0 **Emissions (lb/MMBtu)**#DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0!

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtu0 0 0 0 0 0 0

UPL Pooled Variance= 

### 2

, 

# 1 1 dfp 

# X t s n m

       1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 1.3364E-07 3.0424E-06 2 

### 9.3244E-07 8.2123E-07 3 

### 7.4800E-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

N 

###   

#  1

N i i 

### n

 

#  N4

This step is for QC only: means 5.33E-07 1.54E-06

1.14E-06 Mean =

Pooled Variance = 1.2326E-12

m=number future runs = 3
Term1 0.5333

Term2 6.5736E-13

Squared root Term2 8.1078E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.75
UPL POOLED VARIANCE = 4.1735E-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 

## X t s n m

   

   Sb 3xRDL, 4dscm sample volume 1.3235E-05 Floor Value 1.3235E-02 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 1.78E+00 #DIV/0! SE Skewness 1.10 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = 3.74E+00 #DIV/0! SE Kurtosis 2.19 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 5 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** Wabash River **Runs** PG7221FA 1 

### 1.3364E-07 2 

### 9.3244E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N1

This step is for QC only: means 5.33E-07

5.33E-07 Mean =

Pooled Variance = 3.1904E-13

m=number future runs = 3
Term1 0.8333

Term2 2.6587E-13

Squared root Term2 5.1563E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 31.82
UPL POOLED VARIANCE = 1.6941E-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 

## X t s n m

   

   Sb 3xRDL, 4dscm sample volume 1.3235E-05 Floor Value 1.6941E-02**Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 1.9800E-07 9.1432E-07 2 

### 3.9600E-07 1.0683E-06 3 

### 5.2200E-07 7.1941E-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 3.72E-07 9.01E-07

6.36E-07 Mean =

Pooled Variance = 1.0674E-13

m=number future runs = 3
Term1 0.5000

Term2 5.3372E-14

Squared root Term2 2.31025E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 1.4137E-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 

## X t s n m

   

   As 3xRDL, 4dscm sample volume 4.81273E-07 Floor Value 1.4137E-06 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 2.62E-02 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -1.26E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** 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



### 1 N 

### df 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 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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 

## X t s n m

   

   As 3xRDL, 4dscm sample volume 4.81273E-07 Floor Value 1.3008E-06**Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 2.0046E-06 9.0211E-06 2 

### 4.0092E-06 1.0540E-05 3 

### 5.2849E-06 7.0980E-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 3.77E-06 8.89E-06

6.33E-06 Mean =

Pooled Variance = 1.0149E-11

m=number future runs = 3
Term1 0.5000

Term2 5.0745E-12

Squared root Term2 2.2527E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 1.3906E-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 

## X t s n m

   

   As 3xRDL, 4dscm sample volume 4.81273E-06 Floor Value 1.3906E-02 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 5.22E-03 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -1.17E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** Wabash River **Runs** PG7221FA 1 

### 2.0046E-06 2 

### 4.0092E-06 3 

### 5.2849E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 3.77E-06

3.77E-06 Mean =

Pooled Variance = 2.7343E-12

m=number future runs = 3
Term1 0.6667

Term2 1.8229E-12

Squared root Term2 1.3501E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 1.3169E-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 

## X t s n m

   

   As 3xRDL, 4dscm sample volume 4.81273E-06 Floor Value 1.3169E-02**Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 4.3900E-09 1.6814E-08 2 

### 7.5600E-09 1.6385E-08 3 

### 6.1400E-09 1.6130E-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

N 

###   

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 6.03E-09 1.64E-08

1.12E-08 Mean =

Pooled Variance = 3.3584E-17

m=number future runs = 3
Term1 0.5000

Term2 1.6792E-17

Squared root Term2 4.09782E-09 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 2.5025E-08 

#  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 

## X t s n m

   

   Be 3xRDL, 4dscm sample volume 9.62547E-08 Floor Value 9.6255E-08 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = -1.17E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -2.96E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** 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



### 1 N 

### df 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 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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 

## 11 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 

## X t s n m

   

   Be 3xRDL, 4dscm sample volume 9.62547E-08 Floor Value 9.6255E-08**Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 4.4445E-08 1.6589E-07 2 

### 7.6539E-08 1.6166E-07 3 

### 6.2163E-08 1.5915E-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 6.10E-08 1.62E-07

1.12E-07 Mean =

Pooled Variance = 3.1794E-15

m=number future runs = 3
Term1 0.5000

Term2 1.5897E-15

Squared root Term2 3.9871E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 2.4580E-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 

## X t s n m

   

   Be 3xRDL, 4dscm sample volume 9.62547E-07 Floor Value 9.6255E-04 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = -1.27E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -2.93E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** Wabash River **Runs** PG7221FA 1 

### 4.4445E-08 2 

### 7.6539E-08 3 

### 6.2163E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 6.10E-08

6.10E-08 Mean =

Pooled Variance = 2.5843E-16

m=number future runs = 3
Term1 0.6667

Term2 1.7229E-16

Squared root Term2 1.3126E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 1.5247E-07



#  2 2 1 

## 11 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 

## X t s n m

   

   Be 3xRDL, 4dscm sample volume 9.62547E-07 Floor Value 9.6255E-04**Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 4.3900E-08 1.2240E-07 2 

### 4.8900E-08 6.5539E-08 3 

### 8.7700E-09 6.4521E-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

N 

###   

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 3.39E-08 8.42E-08

5.90E-08 Mean =

Pooled Variance = 1.3892E-15

m=number future runs = 3
Term1 0.5000

Term2 6.9462E-16

Squared root Term2 2.63556E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 1.4769E-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 

## X t s n m

   

   Cd 3xRDL, 4dscm sample volume 3.60955E-08 Floor Value 1.4769E-07 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 7.18E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = 1.94E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** 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



### 1 N 

### df 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 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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 

## 11 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 

## X t s n m

   

   Cd 3xRDL, 4dscm sample volume 3.60955E-08 Floor Value 1.5822E-07**Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 4.4445E-07 1.2077E-06 2 

### 4.9508E-07 6.4663E-07 3 

### 8.8790E-08 6.3659E-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 3.43E-07 8.30E-07

5.87E-07 Mean =

Pooled Variance = 1.3365E-13

m=number future runs = 3
Term1 0.5000

Term2 6.6824E-14

Squared root Term2 2.5850E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 1.4564E-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 

## X t s n m

   

   Cd 3xRDL, 4dscm sample volume 3.60955E-07 Floor Value 1.4564E-03 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 6.94E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = 2.01E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** Wabash River **Runs** PG7221FA 1 

### 4.4445E-07 2 

### 4.9508E-07 3 

### 8.8790E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 3.43E-07

3.43E-07 Mean =

Pooled Variance = 4.9021E-14

m=number future runs = 3
Term1 0.6667

Term2 3.2681E-14

Squared root Term2 1.8078E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 1.6018E-06



#  2 2 1 

## 11 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 

## X t s n m

   

   Cd 3xRDL, 4dscm sample volume 3.60955E-07 Floor Value 1.6018E-03NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 1.3653E-07 5.0500E-07 2 7.0126E-08 8.9000E-09 3 6.4521E-08 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 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 9.04E-08 1.80E-07

1.35E-07 Mean =

Pooled Variance = 3.4759E-14

m=number future runs = 3
Term1 0.5000

Term2 1.7379E-14

Squared root Term2 1.31831E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 3.36
UPL POOLED VARIANCE = 5.7883E-07 New UPL based on log normal distribution calculation 1.1354E-06 

#  2 2 1 

## 11 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 

## X t s n m

   

   Co 3xRDL, 4dscm sample volume 3.6096E-07 Floor Value 1.1354E-06**Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 2.16E+00 6.60E-02 SE Skewness 1.00 1.00 Skewness Test non-normal normal Kurtosis = 4.84E+00 3.53E-01 SE Kurtosis 2.00 2.00 Kurtosis Test non-normal normal Number of test runs = 6 6 **REsult: log normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu lb/MMBtulb/MMBtu

lb/MMBtu-15.80675213 -14.4987074

-16.47296685 -18.53721458 -16.55627415 -17.45369688UPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 1.3653E-07 2 7.0126E-08 3 6.4521E-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



### 1 N i 

### df n       

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 9.04E-08

9.04E-08 Mean =

Pooled Variance = 1.6042E-15

m=number future runs = 3
Term1 0.6667

Term2 1.0694E-15

Squared root Term2 3.27023E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 3.1815E-07



#  2 2 1 

## 11 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 

## X t s n m

   

   Co 3xRDL, 4dscm sample volume 3.60955E-07 Floor Value 3.6096E-07**Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 

### 1.3470E-06 5.1127E-06 2 

### 6.9190E-07 9.0106E-08 3 

### 6.3659E-07 2.6627E-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 8.92E-07 1.82E-06

1.36E-06 Mean =

Pooled Variance = 3.5724E-12

m=number future runs = 3
Term1 0.5000

Term2 1.7862E-12

Squared root Term2 1.3365E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 5.8546E-06



#  2 2 1 

## 11 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 

## X t s n m

   

   New UPL based on log normal distribution calculation 1.1257E-05

Co 3xRDL, 4dscm sample volume 3.6096E-06 Floor Value 1.1257E-02 , df p 

## n m

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 2.18E+00 1.04E-01 SE Skewness 1.00 1.00 Skewness Test non-normal normal Kurtosis = 4.90E+00 4.10E-01 SE Kurtosis 2.00 2.00 Kurtosis Test non-normal normal Number of test runs = 6 6 **REsult: log normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/MW lb/GW-13.51761111 -12.18377386

-14.18382584 -16.22228106 -14.26713304 -15.13876341UPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 

### 1.3470E-06 2 

### 6.9190E-07 3 

### 6.3659E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 8.92E-07

8.92E-07 Mean =

Pooled Variance = 1.5616E-13

m=number future runs = 3
Term1 0.6667

Term2 1.0411E-13

Squared root Term2 3.2266E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 3.1390E-06



#  2 2 1 

## 11 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 

## X t s n m

   

   Co 3xRDL, 4dscm sample volume 3.60955E-06 Floor Value 3.6096E-03**Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 

### 1.0135E-06 1.6300E-06 2 

### 8.4348E-07 1.8200E-06 3 

### 1.8969E-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

N 

###   

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 6.82E-07 1.78E-06

1.23E-06 Mean =

Pooled Variance = 4.4444E-13

m=number future runs = 3
Term1 0.5000

Term2 2.2222E-13

Squared root Term2 4.7140E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 2.8173E-06



#  2 2 1 

## 11 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 

## X t s n m

   

   Cr 3xRDL, 4dscm sample volume 3.60955E-07 Floor Value 2.8173E-06 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = -6.52E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -8.10E-01 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 

### 1.0135E-06 2 

### 8.4348E-07 3 

### 1.8969E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 6.82E-07

6.82E-07 Mean =

Pooled Variance = 1.8917E-13

m=number future runs = 3
Term1 0.6667

Term2 1.2612E-13

Squared root Term2 3.5513E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 3.1555E-06



#  2 2 1 

## 11 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 

## X t s n m

   

   Cr 3xRDL, 4dscm sample volume 3.60955E-07 Floor Value 3.1555E-06**Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 

### 9.9998E-06 1.6503E-05 2 

### 8.3222E-06 1.8426E-05 3 

### 1.8716E-06 1.9135E-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 

### df n     

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 6.73E-06 1.80E-05

1.24E-05 Mean =

Pooled Variance = 4.6347E-11

m=number future runs = 3
Term1 0.5000

Term2 2.3174E-11

Squared root Term2 4.8139E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 2.8575E-05



#  2 2 1 

## 11 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 

## X t s n m

   

   Cr 3xRDL, 4dscm sample volume 3.60955E-06 Floor Value 2.8575E-02 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = -6.07E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -9.73E-01 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 

### 9.9998E-06 2 

### 8.3222E-06 3 

### 1.8716E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 6.73E-06

6.73E-06 Mean =

Pooled Variance = 1.8416E-11

m=number future runs = 3
Term1 0.6667

Term2 1.2277E-11

Squared root Term2 3.5039E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 3.1134E-05



#  2 2 1 

## 11 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 

## X t s n m

   

   Cr 3xRDL, 4dscm sample volume 3.60955E-06 Floor Value 3.1134E-02**Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 2.2000E-07 2.8714E-05 2 

### 1.3300E-07 4.4858E-06 3 

### 3.5100E-07 1.9514E-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 2.35E-07 1.17E-05

5.98E-06 Mean =

Pooled Variance = 1.2687E-10

m=number future runs = 3
Term1 0.5000

Term2 6.3434E-11

Squared root Term2 7.9645E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 3.2776E-05



#  2 2 1 

## 11 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 

## X t s n m

   

   New UPL based on log normal distribution calculation 1.8860E-04

Pb 3xRDL, 4dscm sample volume 3.6096E-07 Floor Value 1.8860E-04 , df p 

## n m

   **Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 2.33E+00 6.35E-01 SE Skewness 1.00 1.00 Skewness Test non-normal normal Kurtosis = 5.53E+00 -8.24E-01 SE Kurtosis 2.00 2.00 Kurtosis Test non-normal normal Number of test runs = 6 6 **REsult: log normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtu lb/MMBtu-15.32963827 -10.45813268

-15.83291671 -12.31459498 -14.86247958 -13.14694322UPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** 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



### 1 N 

### df 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 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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 

## 11 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 

## X t s n m

   

   Pb 3xRDL, 4dscm sample volume 3.60955E-07 Floor Value 8.5869E-07**Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 2.2273E-06 2.8330E-04 2 

### 1.3465E-06 4.4259E-05 3 

### 3.5536E-06 1.9254E-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 2.38E-06 1.16E-04

5.90E-05 Mean =

Pooled Variance = 1.2346E-08

m=number future runs = 3
Term1 0.5000

Term2 6.1730E-09

Squared root Term2 7.8569E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 3.2337E-04



#  2 2 1 

## 11 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 

## X t s n m

   

   New UPL based on log normal distribution calculation 1.7941E-03

Pb 3xRDL, 4dscm sample volume 3.6096E-06 Floor Value 1.7941E+00 

## n m  **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 2.33E+00 6.42E-01 SE Skewness 1.00 1.00 Skewness Test non-normal normal Kurtosis = 5.53E+00 -7.95E-01 SE Kurtosis 2.00 2.00 Kurtosis Test non-normal normal Number of test runs = 6 6 **REsult: log normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/MW lb/GW-13.01470475 -8.168991708

-13.5179832 -10.02545398 -12.54754606 -10.85780216UPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** Wabash River **Runs** PG7221FA 1 

### 2.2273E-06 2 

### 1.3465E-06 3 

### 3.5536E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 2.38E-06

2.38E-06 Mean =

Pooled Variance = 1.2343E-12

m=number future runs = 3
Term1 0.6667

Term2 8.2290E-13

Squared root Term2 9.0714E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 8.6936E-06



#  2 2 1 

## 11 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 

## X t s n m

   

   Pb 3xRDL, 4dscm sample volume 3.60955E-06 Floor Value 8.6936E-03**Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 

### 7.1827E-07 1.6700E-06 2 

### 2.6117E-07 1.4200E-06 3 

### 4.9681E-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

N 

###   

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 4.92E-07 1.53E-06

1.01E-06 Mean =

Pooled Variance = 3.4866E-13

m=number future runs = 3
Term1 0.5000

Term2 1.7433E-13

Squared root Term2 4.1753E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 2.4143E-06



#  2 2 1 

## 11 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 

## X t s n m

   

   Mn 3xRDL, 4dscm sample volume 3.60955E-07 Floor Value 2.4143E-06 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = -1.60E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -2.44E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 

### 7.1827E-07 2 

### 2.6117E-07 3 

### 4.9681E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 4.92E-07

4.92E-07 Mean =

Pooled Variance = 5.2252E-14

m=number future runs = 3
Term1 0.6667

Term2 3.4835E-14

Squared root Term2 1.86641E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 1.7920E-06



#  2 2 1 

## 11 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 

## X t s n m

   

   Mn 3xRDL, 4dscm sample volume 3.60955E-07 Floor Value 1.7920E-06**Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 

### 7.0868E-06 1.6907E-05 2 

### 2.5768E-06 1.4376E-05 3 

### 4.9018E-06 1.5085E-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 

### df n     

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 4.86E-06 1.55E-05

1.02E-05 Mean =

Pooled Variance = 3.6432E-11

m=number future runs = 3
Term1 0.5000

Term2 1.8216E-11

Squared root Term2 4.2680E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 2.4517E-05



#  2 2 1 

## 11 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 

## X t s n m

   

   Mn 3xRDL, 4dscm sample volume 3.60955E-06 Floor Value 2.4517E-02 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = -1.45E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -2.49E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 

### 7.0868E-06 2 

### 2.5768E-06 3 

### 4.9018E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 4.86E-06

4.86E-06 Mean =

Pooled Variance = 5.0866E-12

m=number future runs = 3
Term1 0.6667

Term2 3.3911E-12

Squared root Term2 1.8415E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 1.7680E-05



#  2 2 1 

## 11 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 

## X t s n m

   

   Mn 3xRDL, 4dscm sample volume 3.60955E-06 Floor Value 1.7680E-02**Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 1.6200E-06 3.8079E-06 2 

### 1.4600E-06 3.2946E-06 3 

### 1.1800E-06 8.9813E-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 1.42E-06 2.67E-06

2.04E-06 Mean =

Pooled Variance = 1.4512E-12

m=number future runs = 3
Term1 0.5000

Term2 7.2558E-13

Squared root Term2 8.5181E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 4.9097E-06



#  2 2 1 

## 11 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 

## X t s n m

   

   Ni 3xRDL, 4dscm sample volume 6.49719E-06 Floor Value 6.4972E-06 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 8.63E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -1.41E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** Wabash River **Runs** PG7221FA 1 

### 1.6200E-06 2 

### 1.4600E-06 3 

### 1.1800E-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



### 1 N 

### df 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 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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 

## 11 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 

## X t s n m

   

   Ni 3xRDL, 4dscm sample volume 6.49719E-06 Floor Value 6.4972E-06**Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 7242 **ORIS/Facility/Unit** Wabash River Polk **Runs** PG7221FA IGCC1 1 

### 1.6401E-05 3.7571E-05 2 

### 1.4781E-05 3.2506E-05 3 

### 1.1947E-05 8.8614E-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 

### df n       

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 1.44E-05 2.63E-05

2.03E-05 Mean =

Pooled Variance = 1.3871E-10

m=number future runs = 3
Term1 0.5000

Term2 6.9354E-11

Squared root Term2 8.3279E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 4.8367E-05



#  2 2 1 

## 11 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 

## X t s n m

   

   Ni 3xRDL, 4dscm sample volume 6.49719E-05 Floor Value 6.4972E-02 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 8.39E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -1.39E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   1010 **ORIS/Facility/Unit** Wabash River **Runs** PG7221FA 1 

### 1.6401E-05 2 

### 1.4781E-05 3 

### 1.1947E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 1.44E-05

1.44E-05 Mean =

Pooled Variance = 5.0840E-12

m=number future runs = 3
Term1 0.6667

Term2 3.3893E-12

Squared root Term2 1.8410E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 2.7198E-05



#  2 2 1 

## 11 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 

## X t s n m

   

   Ni 3xRDL, 4dscm sample volume 6.49719E-05 Floor Value 6.4972E-02**Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 

### 9.1129E-06 1.3400E-05 2 

### 1.3960E-05 1.7900E-05 3 

### 7.1780E-06 1.2500E-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 1.01E-05 1.46E-05

1.23E-05 Mean =

Pooled Variance = 1.4349E-11

m=number future runs = 3
Term1 0.5000

Term2 7.1747E-12

Squared root Term2 2.6786E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 2.1355E-05



#  2 2 1 

## 11 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 

## X t s n m

   

   Se 3xRDL, 4dscm sample volume 9.62547E-07 Floor Value 2.1355E-05 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 3.19E-02 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -1.91E-01 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 

### 9.1129E-06 2 

### 1.3960E-05 3 

### 7.1780E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 1.01E-05

1.01E-05 Mean =

Pooled Variance = 1.2205E-11

m=number future runs = 3
Term1 0.6667

Term2 8.1364E-12

Squared root Term2 2.8524E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 2.9950E-05



#  2 2 1 

## 11 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 

## X t s n m

   

   Se 3xRDL, 4dscm sample volume 9.62547E-07 Floor Value 2.9950E-05**Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 

### 8.9912E-05 1.3566E-04 2 

### 1.3773E-04 1.8122E-04 3 

### 7.0821E-05 1.2655E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 9.95E-05 1.48E-04

1.24E-04 Mean =

Pooled Variance = 1.5190E-09

m=number future runs = 3
Term1 0.5000

Term2 7.5950E-10

Squared root Term2 2.75591E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 2.1639E-04



#  2 2 1 

## 11 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 

## X t s n m

   

   Se 3xRDL, 4dscm sample volume 9.62547E-06 Floor Value 2.1639E-01 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 4.83E-02 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -1.42E-01 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 

### 8.9912E-05 2 

### 1.3773E-04 3 

### 7.0821E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 9.95E-05

9.95E-05 Mean =

Pooled Variance = 1.1881E-09

m=number future runs = 3
Term1 0.6667

Term2 7.9206E-10

Squared root Term2 2.8144E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 2.9550E-04



#  2 2 1 

## 11 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  

#  

# Se 3xRDL, 4dscm sample volume 9.62547E-06 Floor Value 2.9550E-01**Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/GWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 

### 1.9504E-03 1.8800E-02 2 

### 2.3266E-03 1.8200E-02 3 

### 3.5487E-04 2.3000E-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

N 

###   

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 1.54E-03 2.00E-02

1.08E-02 Mean =

Pooled Variance = 1.0536E-04

m=number future runs = 3
Term1 0.5000

Term2 5.2681E-05

Squared root Term2 7.2582E-03 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 3.5195E-02



#  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 

## X t s n m

   

   fPM 3xRDL, 4dscm sample volume 0.001203184 Floor Value 3.5195E-02 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 9.33E-02 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -2.94E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 

### 1.9504E-03 2 

### 2.3266E-03 3 

### 3.5487E-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 Total Number of sources = 1 n =Total # test runs = 3



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 1.54E-03

1.54E-03 Mean =

Pooled Variance = 1.0958E-06

m=number future runs = 3
Term1 0.6667

Term2 7.3056E-07

Squared root Term2 0.000854727 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 7.4967E-03



#  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 

## X t s n m

   

   fPM 3xRDL, 4dscm sample volume 0.001203184 Floor Value 7.4967E-03**Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 

### 1.9243E-02 1.9034E-01 2 

### 2.2956E-02 1.8426E-01 3 

### 3.5013E-03 2.3286E-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

N 

###   

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 1.52E-02 2.02E-01

1.09E-01 Mean =

Pooled Variance = 1.0842E-02

m=number future runs = 3
Term1 0.5000

Term2 5.4210E-03

Squared root Term2 0.073627667 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 3.5661E-01



#  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 

## X t s n m

   

   fPM 3xRDL, 4dscm sample volume 0.012031835 Floor Value 3.5661E-01 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 9.38E-02 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -2.95E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/MWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 

### 1.9243E-02 2 

### 2.2956E-02 3 

### 3.5013E-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 Total Number of sources = 1 n =Total # test runs = 3



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 1.52E-02

1.52E-02 Mean =

Pooled Variance = 1.0668E-04

m=number future runs = 3
Term1 0.6667

Term2 7.1118E-05

Squared root Term2 0.008433128 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 7.3966E-02 

#  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 

## X t s n m

   

   fPM 3xRDL, 4dscm sample volume 0.012031835 Floor Value 7.3966E-02**Emissions (lb/MW)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/MWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   

### primary_fuel **ORIS code Plant Name**  **physical_state Unit Number**  **Unit Type Boiler_type** 

Petroleum coke syngas 1010 Wabash River IN PG7221FA IGCC IGCC coal gas 7242 Polk FL IGCC1 IGCC IGCC

### Boiler_count **Total_Capacity_MWe Total_max_heat_input**  **Boiler_heat_rate Fuel types**  **MW MMBtu/hr**  **MMBtu/MWh** 1 292 1709 10.12 Petroleum coke syngas 1 260 2431 9.87 coal gas

### Antimony_Fuel_lb/MMBtu **Antimony - ERT Antimony MW - ERT**  **Antimony - Part II**

**lb/MMBtu lb/MMBtu**  **lb/MW lb/MMBtu**  2.02E-04 5.27E-08 5.33E-07 7.11E-05 1.56E-07 1.54E-06

### Antimony MW - Part II **Antimony - min Antimony MW - min**  **Arsenic_Fuel_lb/MMBtu**

**lb/MW lb/MMBtu**  **lb/MW lb/MMBtu** 

5.27E-08 5.33E-07 1.35E-04 1.56E-07 1.54E-06 1.49E-04

### Arsenic - ERT **Arsenic MW - ERT Arsenic - Part II**  **Arsenic MW - Part II Arsenic - min** 

**lb/MMBtu lb/MW**  **lb/MMBtu lb/MW**  **lb/MMBtu** 3.72E-07 3.77E-06 3.72E-07 9.01E-07 8.89E-06 9.01E-07

### Arsenic MW - min **Beryllium_Fuel_lb/MMBtu Beryllium - ERT**  **Beryllium MW - ERT Beryllium - Part II** 

**lb/MW lb/MMBtu**  **lb/MMBtu lb/MW**  **lb/MMBtu** 3.77E-06 6.74E-05 6.03E-09 6.10E-08 8.89E-06 7.11E-06 1.64E-08 1.62E-07

### Beryllium MW - Part II **Beryllium - min Beryllium MW - min**  **Cadmium_Fuel_lb/MMBtu**

**lb/MW lb/MMBtu**  **lb/MW lb/MMBtu** 

6.03E-09 6.10E-08 6.74E-05 1.64E-08 1.62E-07 1.42E-05

### Cadmium - ERT **Cadmium MW - ERT Cadmium - Part II**  **Cadmium MW - Part II Cadmium - min** 

**lb/MMBtu lb/MW**  **lb/MMBtu lb/MW**  **lb/MMBtu** 3.39E-08 3.43E-07 3.39E-08 8.42E-08 8.30E-07 8.42E-08

### Cadmium MW - min **Chromium_Fuel_lb/MMBtu Chromium - ERT**  **Chromium MW - ERT**

**lb/MW lb/MMBtu**  **lb/MMBtu lb/MW**  3.43E-07 5.03E-04 1.78E-06 1.80E-05 8.30E-07 5.12E-04 6.82E-07 6.73E-06

### Chromium - Part II **Chromium MW - Part II Chromium - min**  **Chromium MW - min**

**lb/MMBtu lb/MW**  **lb/MMBtu lb/MW**  1.78E-06 1.80E-05 6.82E-07 6.73E-06

### Cobalt_Fuel_lb/MMBtu **Cobalt - ERT Cobalt MW - ERT**  **Cobalt - Part II Cobalt MW - Part II** 

**lb/MMBtu lb/MMBtu**  **lb/MW lb/MMBtu**  **lb/MW** 1.91E-05 1.80E-07 1.82E-06 1.85E-04 9.04E-08 8.92E-07

### Cobalt - min **Cobalt MW - min Lead_Fuel_lb/MMBtu**  **Lead - ERT Lead MW - ERT**  **Lead - Part II**

**lb/MMBtu lb/MW**  **lb/MMBtu lb/MMBtu**  **lb/MW lb/MMBtu**  1.80E-07 1.82E-06 6.74E-05 2.35E-07 2.38E-06 9.04E-08 8.92E-07 1.42E-04 1.17E-05 1.16E-04

### Lead MW - Part II **Lead - min Lead MW - min**  **Manganese_Fuel_lb/MMBtu Manganese - ERT** 

**lb/MW lb/MMBtu**  **lb/MW lb/MMBtu**  **lb/MMBtu**

2.35E-07 2.38E-06 3.51E-04 1.53E-06 1.17E-05 1.16E-04 7.11E-06 4.92E-07

### Manganese MW - ERT **Manganese - Part II Manganese MW - Part II**  **Manganese - min**

**lb/MW lb/MMBtu**  **lb/MW lb/MMBtu**  1.55E-05 1.53E-06 4.86E-06 4.92E-07

### Manganese MW - min **Nickel_Fuel_lb/MMBtu Nickel - ERT**  **Nickel MW - ERT Nickel - Part II** 

**lb/MW lb/MMBtu**  **lb/MMBtu lb/MW**  **lb/MMBtu** 1.55E-05 5.87E-03 1.42E-06 1.44E-05 4.86E-06 1.11E-02 2.67E-06 2.63E-05

### Nickel MW - Part II **Nickel - min Nickel MW - min**  **Selenium_Fuel_lb/MMBtu Selenium - ERT** 

**lb/MW lb/MMBtu**  **lb/MW lb/MMBtu**  **lb/MMBtu**

1.42E-06 1.44E-05 1.35E-04 1.46E-05 2.67E-06 2.63E-05 7.11E-05 1.01E-05

### Selenium MW - ERT **Selenium - Part II Selenium MW - Part II**  **Selenium - min Selenium MW - min** 

**lb/MW lb/MMBtu**  **lb/MW lb/MMBtu**  **lb/MW** 1.48E-04 1.46E-05 1.48E-04 9.95E-05 1.01E-05 9.95E-05

### Total Metals -ERT **Total Metals MW -ERT Filterable Particulate_Method 29 - ERT** 

**lb/MMBtu lb/MW**  **lb/MMBtu** 2.02E-05 2.04E-04 2.00E-02 

### 2.69E-05 2.65E-04 1.54E-03

### Filterable Particulate_Method 29 MW - ERT **Filterable Particulate_Method 5 - ERT lb/MW**  **lb/MMBtu** 2.02E-01 1.52E-02

### Filterable Particulate_Method 5 MW - ERT **Filterable Particulate_Method 5/OTM-28 - ERT lb/MW**  **lb/MMBtu**

### Filterable Particulate_Method 5/OTM-28 MW - ERT **Filterable Particulate_OTM - 27/28 - ERT lb/MW**  **lb/MMBtu**

### Filterable Particulate_OTM - 27/28 MW - ERT **Filterable PM2_5_OTM - 27 - ERT lb/MW**  **lb/MMBtu**

### Filterable PM2_5_OTM - 27 MW - ERT **Filterable PM2_5_OTM - 27/28 - ERT lb/MW**  **lb/MMBtu**

### Filterable PM2_5_OTM - 27/28 MW - ERT **PM2_5 Condensible Particulate_Method 202 - ERT lb/MW**  **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**

### PM2_5 Condensible Particulate_OTM - 27/28 MW - ERT **lb/MW**

### 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_12**7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 

### 8.9660E-05 2.94E-04 2 

### 9.1598E-05 3.08E-04 3 

### 9.5418E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 9.22E-05 2.84E-04

1.88E-04 Mean =

Pooled Variance = 1.1378E-08

m=number future runs = 3
Term1 0.5000

Term2 5.6892E-09

Squared root Term2 7.5427E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 4.4175E-04



#  2 2 1 

## 11 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 

## X t s n m

   

   HCl 3xRDL, 4dscm sample volume 7.2191E-05 Floor Value 4.4175E-04 2

, df p 

## X t s n m  

   **Emissions (lb/MMBtu)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 1.27E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -3.00E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 

### 8.9660E-05 BDL 2 

### 9.1598E-05 BDL 3 

### 9.5418E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 9.22E-05

9.22E-05 Mean =

Pooled Variance = 8.5822E-12

m=number future runs = 3
Term1 0.6667

Term2 5.7215E-12

Squared root Term2 2.3920E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 1.0888E-04



#  2 2 1 

## 11 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 

## X t s n m

   

   HCl 3xRDL, 4dscm sample volume 7.2191E-05 Floor Value 1.0888E-04**Emissions (lb/MMBtu)**NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtulb/MMBtu

lb/MMBtuUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 1010 **ORIS/Facility/Unit** Polk Wabash River **Runs** IGCC1 PG7221FA 1 

### 8.8463E-04 2.9765E-03 2 

### 9.0375E-04 3.1183E-03 3 

### 9.4144E-04 2.5209E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N5

This step is for QC only: means 9.10E-04 2.87E-03

1.89E-03 Mean =

Pooled Variance = 1.1941E-06

m=number future runs = 3
Term1 0.5000

Term2 5.9705E-07

Squared root Term2 0.00077269 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 3.36
UPL POOLED VARIANCE = 4.4910E-03



#  2 2 1 

## 11 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 

## X t s n m

   

   HCl 3xRDL, 4dscm sample volume 0.00072191 Floor Value 4.4910E-03 2

, 

## 1 1 df p 

## X t s n m

   

   **Emissions (lb/MW)**Distribution of Normal Tests Distribution of

Log Tests Skewness = 1.24E-01 #DIV/0! SE Skewness 1.00 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -3.01E+00 #DIV/0! SE Kurtosis 2.00 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 6 0 **REsult: normal** 

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/MWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   7242 **ORIS/Facility/Unit** Polk **Runs** IGCC1 1 

### 8.8463E-04 BDL 2 

### 9.0375E-04 BDL 3 

### 9.4144E-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



### 1 N 

### df n     

#  1

N i i 

### n

 

#  N2

This step is for QC only: means 9.10E-04

9.10E-04 Mean =

Pooled Variance = 8.3546E-10

m=number future runs = 3
Term1 0.6667

Term2 5.5697E-10

Squared root Term2 2.36002E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

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

### 6.96
UPL POOLED VARIANCE = 1.0743E-03



#  2 2 1 

## 11 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 

## X t s n m

   

   HCl 3xRDL, 4dscm sample volume 0.00072191 Floor Value 1.0743E-03 , df p 

## X t s n m  

   NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MWlb/MW

lb/MWUPL Pooled

Variance= 2

, 

# 1 1 dfp 

# X t s n m

   

   

### primary_fuel **ORIS code Plant Name**  **physical_state Unit Number**  **Unit Type**

Petroleum coke syngas 1010Wabash River IN PG7221FA IGCC coal gas 7242Polk 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 10.12 IGCC 1 260 2431 9.87

### Fuel types **Fuel_Cl_lb/MMBtu Fuel_F_lb/MMBtu**  **Chlorine - ERT Chlorine MW - ERT**  **lb/MMBtu lb/MMBtu**  **lb/MMBtu lb/MW**  Petroleum coke syngas 1.58E-02 6.77E-04 coal gas 1.64E-02 7.11E-03

### Chlorine - ETTS **Chlorine MW - ETTS Chlorine - Part II**  **Chlorine MW - Part II Chlorine - min** 

**lb/MMBtu lb/MW**  **lb/MMBtu lb/MW**  **lb/MMBtu**

### Chlorine MW - min **HCN - ERT HCN MW - ERT**  **HCN - ETTS HCN MW - ETTS**  **HCN - Part II**

**lb/MW lb/MMBtu**  **lb/MW lb/MMBtu**  **lb/MW lb/MMBtu** 

### HCN MW - Part II **HCN - min HCN MW - min**  **Hydrogen Chloride - ERT Hydrogen Chloride MW - ERT** 

**lb/MW lb/MMBtu**  **lb/MW lb/MMBtu**  **lb/MW** 2.84E-04 2.87E-03 9.22E-05 9.10E-04

### Hydrogen Chloride - ETTS **Hydrogen Chloride MW - ETTS Hydrogen Chloride - Part II** 

**lb/MMBtu lb/MW**  **lb/MMBtu**

### Hydrogen Chloride MW - Part II **Hydrogen Chloride - min Hydrogen Chloride MW - min**  **lb/MW lb/MMBtu**  **lb/MW** 2.84E-04 2.87E-03 9.22E-05 9.10E-04

### Hydrogen Fluoride - ERT **Hydrogen Fluoride MW - ERT Hydrogen Fluoride - ETTS** 

**lb/MMBtu lb/MW**  **lb/MMBtu**

### Hydrogen Fluoride MW - ETTS **Hydrogen Fluoride - Part II Hydrogen Fluoride MW - Part II**  **lb/MW lb/MMBtu**  **lb/MW**

### Hydrogen Fluoride - min **Hydrogen Fluoride MW - min Sulfur Dioxide - CEMS** 

**lb/MMBtu lb/MW**  **lb/MMBtu**

### Sulfur Dioxide MW - CEMS **Sulfur Dioxide - ERT Sulfur Dioxide MW - ERT**  **Sulfur Dioxide - ETTS**

**lb/MW lb/MMBtu**  **lb/MW lb/MMBtu** 

### Sulfur Dioxide MW - ETTS **Sulfur Dioxide - Part II Sulfur Dioxide MW - Part II**  **Sulfur Dioxide - min**

**lb/MW lb/MMBtu**  **lb/MW lb/MMBtu** 

### Sulfur Dioxide MW - min **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_12**