Mean (lb/MMBtu) UPL (lb/MMBtu)

Number of

units in the

floor

Floor

number Mean (lb/MMBtu) UPL (lb/MMBtu)

Number of

units in the

floor

Antimony (Sb) 1.0170E‐07 3.6460E‐07 2 0.4 lb/TBtu 5.2650E‐08 1.6733E‐06 1

Arsenic (As) 5.7489E‐07 1.1976E‐06 2 2 lb/TBtu 3.7200E‐07 1.3008E‐06 1

Beryllium (Be) 1.0121E‐08 2.1055E‐08 2 0.03 lb/TBtu 6.0300E‐09 1.5059E‐08 1

Cadmium (Cd) 5.3267E‐08 1.2716E‐07 2 0.2 lb/TBtu 3.3857E‐08 1.5822E‐07 1

Chromium (Cr) 1.1838E‐06 2.8483E‐06 2 3 lb/TBtu 5.8769E‐07 2.7084E‐06 1

Cobalt (Co) 1.2906E‐07 1.0127E‐06 2 2 lb/TBtu 1.8007E‐07 1.7810E‐06 1

Lead (Pb) 5.1641E‐06 1.3259E‐04 2 0.0002 lb/MMBtu 2.3467E‐07 8.5869E‐07 1

Manganese (Mn) 9.7610E‐07 2.4543E‐06 2 3 lb/TBtu 4.2553E‐07 1.5464E‐06 1

Nickel (Ni) 1.8590E‐06 4.1886E‐06 2 5 lb/TBtu 1.4200E‐06 2.6865E‐06 1

Selenium (Se) 1.1652E‐05 2.1544E‐05 2 22 lb/TBtu 8.7030E‐06 2.5534E‐05 1

Mean (lb/MW) UPL (lb/MW)

Number of

units in the

floor

Floor

number Mean (lb/MW) UPL (lb/MW)

Number of

units in the

floor

Flo

num

Antimony (Sb) 8.7726E‐07 3.4152E‐06 2 0.004 lb/GWh 3.0816E‐07 9.7937E‐06 1 0.0

Arsenic (As) 4.7247E‐06 1.1819E‐05 2 0.02 lb/GWh 2.1773E‐06 7.6135E‐06 1 0.0

Beryllium (Be) 8.4092E‐08 2.1209E‐07 2 0.003 lb/GWh 3.5294E‐08 8.8144E‐08 1 0.00

Cadmium (Cd) 4.3885E‐07 1.2066E‐06 2 0.002 lb/GWh 1.9817E‐07 9.2605E‐07 1 0.0

Chromium (Cr) 7.9567E‐06 1.6330E‐05 2 0.02 lb/GWh 5.4949E‐06 2.5323E‐05 1 0.0

Cobalt (Co) 8.9184E‐07 3.4531E‐06 2 0.004 lb/GWh 1.0539E‐06 1.0424E‐05 1 0.0

Lead (Pb) 4.7874E‐05 2.4820E‐03 2 3 lb/GWh 1.3735E‐06 5.0260E‐06 1 0.0

Manganese (Mn) 6.4572E‐06 1.3579E‐05 2 0.02 lb/GWh 3.9787E‐06 1.4459E‐05 1 0.0

Nickel (Ni) 1.4899E‐05 4.0371E‐05 2 0.05 lb/GWh 8.3114E‐06 1.5724E‐05 1 0.0

Selenium (Se) 8.3414E‐05 1.3253E‐04 2 0.2 lb/GWh 8.1373E‐05 2.3874E‐04 1 0.

ExistingExisting

New

New

Summary of UPLs using emission averages ‐ IGCC Units
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 2.5695E‐08

2 4.4249E‐08

3 3.5938E‐08

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 3.53E-08

3.53E-08

Mean =

Pooled Variance = 8.6376E-17

m= number future runs = 3

Term1 0.6667

Term2 5.7584E-17

Squared root Term2 7.5884E-09

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 8.8144E-08

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 4.3900E‐08 1.0538E‐07

2 4.8900E‐08 5.6323E‐08

3 8.7700E‐09 5.6327E‐08

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 3.39E-08 7.27E-08

5.33E-08

Mean =

Pooled Variance = 9.6435E-16

m= number future runs = 3

Term1 0.5000

Term2 4.8217E-16

Squared root Term2 2.19585E-08

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 1.2716E-07

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

ij

i j

X x

n  

 

1 1

n m



s

2 1 1

n m

      

1

1

N

i

i

df n 

        

d f t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p 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

N  

1

N

i

i

n





N
2

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

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 1.5822E-07

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 2.5695E‐07 9.8535E‐07

2 2.8622E‐07 5.2662E‐07

3 5.1332E‐08 5.2666E‐07

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

N  

1

N

i

i

n





N
5

This step is for QC only:

means 1.98E-07 6.80E-07

4.39E-07

Mean =

Pooled Variance = 1.0413E-13

m= number future runs = 3

Term1 0.5000

Term2 5.2063E-14

Squared root Term2 2.2817E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 1.2066E-06

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

ij

i j

X x

n  

 

1 1

n m



s

2 1 1

n m

      

1

1

N

i

i

df n 

        

d f t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 2.5695E‐07

2 2.8622E‐07

3 5.1332E‐08

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 1.98E-07

1.98E-07

Mean =

Pooled Variance = 1.6384E-14

m= number future runs = 3

Term1 0.6667

Term2 1.0923E-14

Squared root Term2 1.0451E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 9.2605E-07

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 5.0500E-07 1.1754E-07

2 8.9000E-09 6.0265E-08

3 2.6300E-08 5.6327E-08

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 1.80E-07 7.80E-08

1.29E-07

Mean =

Pooled Variance = 3.5297E-14

m= number future runs = 3

Term1 0.5000

Term2 1.7648E-14

Squared root Term2 1.32847E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

  1 1
UPL POOLED VARIANCE = 5.7608E-07

New UPL based on log normal distribution calculation 1.0127E-06

2

,

1 1 Xt s df p n m

       
Emissions (lb/MMBtu)
Distribution of 

Normal Tests

Distribution of Log 

Tests

Skewness = 2.24E+00 2.84E-01

SE Skewness 1.00 1.00

Skewness Test non-normal normal

Kurtosis = 5.18E+00 7.07E-01

SE Kurtosis 2.00 2.00

Kurtosis Test non-normal normal

Number of test 

runs =

6 6

REsult: normal

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

-18.53721456 -16.62450889

-17.4536969 -16.69208611
UPL Pooled 

Variance=

2

,

1 1 Xt s df p n m

       
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 5.0500E‐07

2 8.9000E‐09

3 2.6300E‐08

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 1.80E-07

1.80E-07

Mean =

Pooled Variance = 7.9262E-14

m= number future runs = 3

Term1 0.6667

Term2 5.2841E-14

Squared root Term2 2.29872E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 1.7810E-06

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 2.9558E‐06 1.0990E‐06

2 5.2092E‐08 5.6348E‐07

3 1.5394E‐07 5.2666E‐07

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

N  

1

N

i

i

n





N
5

This step is for QC only:

means 1.05E-06 7.30E-07

8.92E-07

Mean =

Pooled Variance = 1.1587E-12

m= number future runs = 3

Term1 0.5000

Term2 5.7937E-13

Squared root Term2 7.6117E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 3.4531E-06

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 2.9558E‐06

2 5.2092E‐08

3 1.5394E‐07

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 1.05E-06

1.05E-06

Mean =

Pooled Variance = 2.7154E-12

m= number future runs = 3

Term1 0.6667

Term2 1.8103E-12

Squared root Term2 1.3455E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 1.0424E-05

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242 1010

ORIS/Facility/Unit Polk Wabash River

Runs IGCC1 PG7221FA

1 8.7261E‐07 1.6300E‐06

2 7.2487E‐07 1.8200E‐06

3 1.6560E‐07 1.8900E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 5.88E-07 1.78E-06

1.18E-06

Mean =

Pooled Variance = 4.8935E-13

m= number future runs = 3

Term1 0.5000

Term2 2.4467E-13

Squared root Term2 4.9465E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 2.8483E-06

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242

ORIS/Facility/Unit Polk

Runs IGCC1

1 8.7261E‐07

2 7.2487E‐07

3 1.6560E‐07

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 5.88E-07

5.88E-07

Mean =

Pooled Variance = 1.3908E-13

m= number future runs = 3

Term1 0.6667

Term2 9.2719E-14

Squared root Term2 3.0450E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 2.7084E-06

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242 1010

ORIS/Facility/Unit Polk Wabash River

Runs IGCC1 PG7221FA

1 8.1589E‐06 9.5405E‐06

2 6.7776E‐06 1.0653E‐05

3 1.5484E‐06 1.1062E‐05

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

N  

1

N

i

i

n





N
5

This step is for QC only:

means 5.49E-06 1.04E-05

7.96E-06

Mean =

Pooled Variance = 1.2384E-11

m= number future runs = 3

Term1 0.5000

Term2 6.1919E-12

Squared root Term2 2.4884E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 1.6330E-05

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242

ORIS/Facility/Unit Polk

Runs IGCC1

1 8.1589E‐06

2 6.7776E‐06

3 1.5484E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 5.49E-06

5.49E-06

Mean =

Pooled Variance = 1.2159E-11

m= number future runs = 3

Term1 0.6667

Term2 8.1057E-12

Squared root Term2 2.8470E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 2.5323E-05

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 2.2000E‐07 2.4722E‐05

2 1.3300E‐07 3.8550E‐06

3 3.5100E‐07 1.7036E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 2.35E-07 1.01E-05

5.16E-06

Mean =

Pooled Variance = 9.3822E-11

m= number future runs = 3

Term1 0.5000

Term2 4.6911E-11

Squared root Term2 6.8492E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

  1 1
UPL POOLED VARIANCE = 2.8211E-05

New UPL based on log normal distribution calculation 0.000132587

2

,

1 1 Xt s df p n m

       
Distribution of 

Normal Tests

Distribution of Log 

Tests

Skewness = 2.34E+00 6.74E-01

SE Skewness 1.00 1.00

Skewness Test non-normal normal

Kurtosis = 5.54E+00 -6.58E-01

SE Kurtosis 2.00 2.00

Kurtosis Test non-normal normal

Number of test 

runs =

6 6

REsult: normal

9% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)
-15.32963829 -10.60783013

-15.83291671 -12.46613704

-14.86247961 -13.28275523
UPL Pooled 

Variance=

2

,

1 1 Xt s df p 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

N  

1

N

i

i

n





N
2

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

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 8.5869E-07

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 1.2877E‐06 2.3115E‐04

2 7.7846E‐07 3.6044E‐05

3 2.0544E‐06 1.5929E‐05

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

N  

1

N

i

i

n





N
5

This step is for QC only:

means 1.37E-06 9.44E-05

4.79E-05

Mean =

Pooled Variance = 8.2475E-09

m= number future runs = 3

Term1 0.5000

Term2 4.1237E-09

Squared root Term2 6.4216E-05

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 0.00026396

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

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

2

,

1 1 Xt s df p n m

       
Emissions (lb/MW)
Distribution of 

Normal Tests

Distribution of Log 

Tests

Skewness = 2.33E+00 5.48E-01

SE Skewness 1.00 1.00

Skewness Test non-normal normal

Kurtosis = 5.52E+00 -1.16E+00

SE Kurtosis 2.00 2.00

Kurtosis Test non-normal normal

Number of test 

runs =

6 6

REsult: normal

9% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)
-13.5626699 -8.372453789

-14.06594832 -10.2307607

-13.09551122 -11.04737888
UPL Pooled 

Variance=

2

,

1 1 Xt s df p n m

       
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 1.2877E‐06

2 7.7846E‐07

3 2.0544E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 1.37E-06

1.37E-06

Mean =

Pooled Variance = 4.1255E-13

m= number future runs = 3

Term1 0.6667

Term2 2.7504E-13

Squared root Term2 5.2444E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 5.0260E-06

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242 1010

ORIS/Facility/Unit Polk Wabash River

Runs IGCC1 PG7221FA

1 6.1841E‐07 1.6700E‐06

2 2.2445E‐07 1.4200E‐06

3 4.3372E‐07 1.4900E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 4.26E-07 1.53E-06

9.76E-07

Mean =

Pooled Variance = 3.8595E-13

m= number future runs = 3

Term1 0.5000

Term2 1.9297E-13

Squared root Term2 4.3929E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 2.4543E-06

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242

ORIS/Facility/Unit Polk

Runs IGCC1

1 6.1841E‐07

2 2.2445E‐07

3 4.3372E‐07

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 4.26E-07

4.26E-07

Mean =

Pooled Variance = 3.8852E-14

m= number future runs = 3

Term1 0.6667

Term2 2.5902E-14

Squared root Term2 1.6094E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 1.5464E-06

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

ij

i j

X x

n  

 

1 1

n m



s

2 1 1

n m

      

1

1

N

i

i

df n 

        

d f t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242 1010

ORIS/Facility/Unit Polk Wabash River

Runs IGCC1 PG7221FA

1 5.7821E‐06 9.7746E‐06

2 2.0986E‐06 8.3114E‐06

3 4.0553E‐06 8.7211E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

N  

1

N

i

i

n





N
5

This step is for QC only:

means 3.98E-06 8.94E-06

6.46E-06

Mean =

Pooled Variance = 8.9582E-12

m= number future runs = 3

Term1 0.5000

Term2 4.4791E-12

Squared root Term2 2.1164E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 1.3579E-05

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242

ORIS/Facility/Unit Polk

Runs IGCC1

1 5.7821E‐06

2 2.0986E‐06

3 4.0553E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 3.98E-06

3.98E-06

Mean =

Pooled Variance = 3.3966E-12

m= number future runs = 3

Term1 0.6667

Term2 2.2644E-12

Squared root Term2 1.5048E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 1.4459E-05

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

ij

i j

X x

n  

 

1 1

n m



s

2 1 1

n m

      

1

1

N

i

i

df n 

        

d f t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 1.6200E‐06 3.2785E‐06

2 1.4600E‐06 2.8313E‐06

3 1.1800E‐06 7.8408E‐07

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 1.42E-06 2.30E-06

1.86E-06

Mean =

Pooled Variance = 9.5865E-13

m= number future runs = 3

Term1 0.5000

Term2 4.7933E-13

Squared root Term2 6.9233E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 4.1886E-06

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 1.62E‐06

2 1.46E‐06

3 1.18E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

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

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 2.6865E-06

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 9.4820E‐06 3.0654E‐05

2 8.5455E‐06 2.6473E‐05

3 6.9066E‐06 7.3311E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

N  

1

N

i

i

n





N
5

This step is for QC only:

means 8.31E-06 2.15E-05

1.49E-05

Mean =

Pooled Variance = 1.1461E-10

m= number future runs = 3

Term1 0.5000

Term2 5.7304E-11

Squared root Term2 7.5699E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 4.0371E-05

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 9.4820E‐06

2 8.5455E‐06

3 6.9066E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 8.31E-06

8.31E-06

Mean =

Pooled Variance = 1.6992E-12

m= number future runs = 3

Term1 0.6667

Term2 1.1328E-12

Squared root Term2 1.0643E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 1.5724E-05

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242 1010

ORIS/Facility/Unit Polk Wabash River

Runs IGCC1 PG7221FA

1 7.8459E‐06 1.34E‐05

2 1.1997E‐05 1.79E‐05

3 6.2664E‐06 1.25E‐05

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 8.70E-06 1.46E-05

1.17E-05

Mean =

Pooled Variance = 1.7284E-11

m= number future runs = 3

Term1 0.5000

Term2 8.6422E-12

Squared root Term2 2.9398E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 2.1544E-05

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242

ORIS/Facility/Unit Polk

Runs IGCC1

1 7.8459E‐06

2 1.1997E‐05

3 6.2664E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 8.70E-06

8.70E-06

Mean =

Pooled Variance = 8.7601E-12

m= number future runs = 3

Term1 0.6667

Term2 5.8401E-12

Squared root Term2 2.4166E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 2.5534E-05

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242 1010

ORIS/Facility/Unit Polk Wabash River

Runs IGCC1 PG7221FA

1 7.3360E‐05 7.8431E‐05

2 1.1217E‐04 1.0477E‐04

3 5.8591E‐05 7.3164E‐05

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

N  

1

N

i

i

n





N
5

This step is for QC only:

means 8.14E-05 8.55E-05

8.34E-05

Mean =

Pooled Variance = 4.2603E-10

m= number future runs = 3

Term1 0.5000

Term2 2.1301E-10

Squared root Term2 1.4595E-05

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 0.000132525

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242

ORIS/Facility/Unit Polk

Runs IGCC1

1 7.3360E‐05

2 1.1217E‐04

3 5.8591E‐05

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 8.14E-05

8.14E-05

Mean =

Pooled Variance = 7.6583E-10

m= number future runs = 3

Term1 0.6667

Term2 5.1055E-10

Squared root Term2 2.2595E-05

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 0.000238741

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242 1010

ORIS/Facility/Unit Polk Wabash River

Runs IGCC1 PG7221FA

1 1.1627E‐02 3.3990E‐02

2 1.3584E‐02 3.3780E‐02

3 1.7130E‐02 3.3530E-02

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 1.41E-02 3.38E-02

2.39E-02

Mean =

Pooled Variance = 1.1901E-04

m= number future runs = 3

Term1 0.5000

Term2 5.9504E-05

Squared root Term2 7.7139E-03

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 0.049896726

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

ij

i j

X x

n  

 

1 1

n m



s

2 1 1

n m

      

1

1

N

i

i

df n 

        

d f t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242

ORIS/Facility/Unit Polk

Runs IGCC1

1 1.1627E‐02

2 1.3584E‐02

3 1.7130E‐02

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 1.41E-02

1.41E-02

Mean =

Pooled Variance = 7.7827E-06

m= number future runs = 3

Term1 0.6667

Term2 5.1885E-06

Squared root Term2 0.002277828

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 0.029977659

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242 1010

ORIS/Facility/Unit Polk Wabash River

Runs IGCC1 PG7221FA

1 1.0871E‐01 1.9895E‐01

2 1.2701E‐01 1.9772E‐01

3 1.6017E‐01 1.9625E‐01

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 1.32E-01 1.98E-01

1.65E-01

Mean =

Pooled Variance = 1.5669E-03

m= number future runs = 3

Term1 0.5000

Term2 7.8346E-04

Squared root Term2 0.027990344

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 0.258986166

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

ij

i j

X x

n  

 

1 1

n m



s

2 1 1

n m

      

1

1

N

i

i

df n 

        

d f t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
7242

ORIS/Facility/Unit Polk

Runs IGCC1

1 1.0871E‐01

2 1.2701E‐01

3 1.6017E‐01

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 1.32E-01

1.32E-01

Mean =

Pooled Variance = 6.8039E-04

m= number future runs = 3

Term1 0.6667

Term2 4.5359E-04

Squared root Term2 0.021297687

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 0.280291115

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p 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

MW MMBtu/hr

IGCC 1 292 1709

IGCC 1 260 2431
Unit_heat_rate

MMBtu/MWh

5.85

9.35
Fuel types

Petroleum coke syngas

coal gas
ntimony_Fuel_lb/MMB Antimony ‐ ERT ntimony MW ‐ ER Antimony ‐ Part II

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

2.02E‐04 5.27E‐08 3.08E‐07

7.11E‐05 1.34E‐07 1.26E‐06

9.4
Antimony MW ‐ Part II Antimony ‐ min Antimony MW ‐ min Arsenic_Fuel_lb/MMBtu

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

5.27E‐08 3.08E‐07 1.35E‐04

1.34E‐07 1.26E‐06 1.49E‐04
Arsenic ‐ ERT Arsenic MW ‐ ERT Arsenic ‐ Part II rsenic MW ‐ Part Arsenic ‐ min

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

3.72E‐07 2.18E‐06 3.72E‐07

7.78E‐07 7.27E‐06 7.78E‐07
Arsenic MW ‐ min llium_Fuel_lb/MMBeryllium ‐ ERT Beryllium MW ‐ ERT Beryllium ‐ Part I

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

2.18E‐06 6.74E‐05 6.03E‐09 3.53E‐08

7.27E‐06 7.11E‐06 1.42E‐08 1.33E‐07
Beryllium MW ‐ Part II Beryllium ‐ min Beryllium MW ‐ minum_Fuel_lb/M Cadmium ‐ ERT

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

6.03E‐09 3.53E‐08 6.74E‐05 3.39E‐08

1.42E‐08 1.33E‐07 1.42E‐05 7.27E‐08
Cadmium MW ‐ ERT Cadmium ‐ Part II dmium MW ‐ Par Cadmium ‐ min

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

1.98E‐07 3.39E‐08

6.80E‐07 7.27E‐08
Cadmium MW ‐ min mium_Fuel_lb/MChromium ‐ ERrTomium MW ‐ E

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

1.98E‐07 5.03E‐04 1.78E‐06 1.04E‐05

6.80E‐07 5.12E‐04 5.88E‐07 5.49E‐06
Chromium ‐ Part II Chromium MW ‐ Part II

lb/MMBtu lb/MW
Chromium ‐ min Chromium MW ‐ min

lb/MMBtu lb/MW

1.78E‐06 1.04E‐05

5.88E‐07 5.49E‐06
Cobalt_Fuel_lb/MMBtu Cobalt ‐ ERT

lb/MMBtu lb/MMBtu

1.91E‐05 1.80E‐07

1.85E‐04 7.80E‐08
Cobalt MW ‐ ERT Cobalt ‐ Part II

lb/MW lb/MMBtu

1.05E‐06

7.30E‐07
Cobalt MW ‐ Part II Cobalt ‐ min

lb/MW lb/MMBtu

1.80E‐07

7.80E‐08
Cobalt MW ‐ min Lead_Fuel_lb/MMBtu

lb/MW lb/MMBtu

1.05E‐06 6.74E‐05

7.30E‐07 1.42E‐04
Lead ‐ ERT Lead MW ‐ ERT

lb/MMBtu lb/MW

2.35E‐07 1.37E‐06

1.01E‐05 9.44E‐05
Lead ‐ Part II

lb/MMBtu
Lead MW ‐ Part II

lb/MW
Lead ‐ min

lb/MMBtu

2.35E‐07

1.01E‐05
Lead MW ‐ min

lb/MW

1.37E‐06

9.44E‐05
Manganese_Fuel_lb/MMBtu

lb/MMBtu

3.51E‐04

7.11E‐06
Manganese ‐ ERT Manganese MW ‐ ERT

lb/MMBtu lb/MW

1.53E‐06 8.94E‐06

4.26E‐07 3.98E‐06
Manganese ‐ Part II Manganese MW ‐ Part II

lb/MMBtu lb/MW
Manganese ‐ min Manganese MW ‐ min

lb/MMBtu lb/MW

1.53E‐06 8.94E‐06

4.26E‐07 3.98E‐06
Nickel_Fuel_lb/MMBtu Nickel ‐ ERT

lb/MMBtu lb/MMBtu

5.87E‐03 1.42E‐06

1.11E‐02 2.30E‐06
Nickel MW ‐ ERT Nickel ‐ Part II

lb/MW lb/MMBtu

8.31E‐06

2.15E‐05
Nickel MW ‐ Part II Nickel ‐ min Nickel MW ‐ min nium_Fuel_lb/MM

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

1.42E‐06 8.31E‐06 1.35E‐04

2.30E‐06 2.15E‐05 7.11E‐05
Selenium ‐ ERT Selenium MW ‐ ERT Selenium ‐ Part II

lb/MMBtu lb/MW lb/MMBtu

1.46E‐05 8.55E‐05

8.70E‐06 8.14E‐05
Selenium MW ‐ Part II Selenium ‐ min Selenium MW ‐ min l_Particulate_Calc ‐

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

1.46E‐05 8.55E‐05 3.38E‐02

8.70E‐06 8.14E‐05 1.41E‐02
Particulate_Calc MW Total_Particulate_Calc ‐ Part II articulate_Calc MWl_Particulate_Calc ‐

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

1.98E‐01 3.38E‐02

1.32E‐01 1.41E‐02
articulate_Calc MParticulate_Methodrticulate_Method 2Particulate_Methaorticulate_Method 2

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

1.98E‐01 2.00E‐02 1.17E‐01

1.32E‐01 1.33E‐03 1.24E‐02
e Particulate_Methaorticulate_Methodticulate_Method 5/ulate_Method 5/OTarticulate_OTM ‐ 

lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu
articulate_OTM ‐ 27/2ble PM2_5_OTM ‐ 2PM2_5_OTM ‐ 27 le PM2_5_OTM ‐ 27/PM2_5_OTM ‐ 27/28

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

4.71E‐03 2.76E‐02

3.77E‐03 3.52E‐02
sible Particulate_Mble Particulate_Methe Particulate_Metharticulate_Methodble Particulate_O

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

1.38E‐02

1.28E‐02
le Particulate_OTMnsible Particulate_ble Particulate_OTulate_Method 5/OaTte_Method 5/OTMrticulate_OTM ‐ 27

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

8.06E‐02

1.20E‐01
iculate_OTM ‐ 27/28Particulate_OTM ‐ 2ticulate_OTM ‐ 28M (Condensable) ‐ Parondensable) MW ‐ 

lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW
ble and Condensaeb and Condensableilterable) ‐ erable) MWondensabledensable) Me and Condend Condens

lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW
(Filterable) terable) MW(Filterable)lterable) Mntrol_grouopntrol_typen_stall_date_ntrol_grouopntrol_typen_stall_date_

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

control scrubber ‐  01‐Oct‐96
ntrol_grouopntrol_typen_stall_date_ntrol_grouopntrol_typen_stall_date_ntrol_grouopntrol_typen_stall_date_ntrol_group
ontrol_typen_stall_date_ntrol_grouopntrol_typen_stall_date_ntrol_grouopntrol_typen_stall_date_ntrol_grouopntrol_type_
nstall_daten_trol_groupn_trol_type_stall_date_ntrol_groupn_trol_type_stall_date_ntrol_groupn_trol_type_stall_date_1
12
7242 1010

ORIS/Facility/Unit Polk Wabash River

Runs IGCC1 PG7221FA

1 7.9410E‐05 2.94E‐04

2 7.9946E‐05 3.08E‐04

3 8.4319E‐05 2.49E‐04

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

N  

1

N

i

i

n





N
5

This step is for QC only:

means 8.12E-05 2.84E-04

1.82E-04

Mean =

Pooled Variance = 1.2678E-08

m= number future runs = 3

Term1 0.5000

Term2 6.3389E-09

Squared root Term2 7.96173E-05

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

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 4.5035E-04

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

ij

i j

X x

n  

 

1 1

n m



s

2 1 1

n m

      

1

1

N

i

i

df n 

        

d f t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

     
Emissions (lb/MMBtu)
dence is desired then alpha=0.01 and 2*alpha=2*(0.01)
UPL Pooled 

Variance=

2

,

1 1 Xt s df p n m

       
7242

ORIS/Facility/Unit Polk

Runs IGCC1

1 7.9410E‐05 BDL

2 7.9946E‐05 BDL

3 8.4319E‐05 BDL

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 8.12E-05

8.12E-05

Mean =

Pooled Variance = 7.2505E-12

m= number future runs = 3

Term1 0.6667

Term2 4.8337E-12

Squared root Term2 2.1986E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 9.6537E-05

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
MDL x 3 2.3984E-04

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

Variance=

2

,

1 1 Xt s df p n m

       
7242 1010

ORIS/Facility/Unit Polk Wabash River

Runs IGCC1 PG7221FA

1 7.4248E‐04 1.7208E‐03

2 7.4750E‐04 1.8027E‐03

3 7.8838E‐04 1.4574E‐03

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

N  

1

N

i

i

n





N
5

This step is for QC only:

means 7.59E-04 1.66E-03

1.21E-03

Mean =

Pooled Variance = 2.5675E-07

m= number future runs = 3

Term1 0.5000

Term2 1.2837E-07

Squared root Term2 0.000358292

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 0.002415518

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 2.5695E‐08 1.3535E‐07

2 4.4249E‐08 1.3165E‐07

3 3.5938E‐08 1.3167E‐07

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

N  

1

N

i

i

n





N
5

This step is for QC only:

means 3.53E-08 1.33E-07

8.41E-08

Mean =

Pooled Variance = 2.8938E-15

m= number future runs = 3

Term1 0.5000

Term2 1.4469E-15

Squared root Term2 3.8038E-08

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 2.1209E-07

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

ij

i j

X x

n  

 

1 1

n m



s

2 1 1

n m

      

1

1

N

i

i

df n 

        

d f t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 1.93045E-06 3.86272E-06

2 2.31944E-06 2.07527E-06

3 1.80663E-06 1.01744E-06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 2.02E-06 2.32E-06

2.17E-06

Mean =

Pooled Variance = 8.8288E-13

m= number future runs = 3

Term1 0.5000

Term2 4.4144E-13

Squared root Term2 6.64411E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 4.4044E-06

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

ij

i j

X x

n  

 

1 1

n m



s

2 1 1

n m

      

1

1

N

i

i

df n 

        

d f t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 1.93045E-06

2 2.31944E-06

3 1.80663E-06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 2.02E-06

2.02E-06

Mean =

Pooled Variance = 7.1602E-14

m= number future runs = 3

Term1 0.6667

Term2 4.7735E-14

Squared root Term2 2.18482E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 3.5405E-06

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 1.12991E-05 3.61165E-05

2 1.35758E-05 1.94038E-05

3 1.05744E-05 9.51307E-06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 1.18E-05 2.17E-05

1.67E-05

Mean =

Pooled Variance = 1.0248E-10

m= number future runs = 3

Term1 0.5000

Term2 5.1240E-11

Squared root Term2 7.1582E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 4.0834E-05

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 1.1299E‐05

2 1.3576E‐05

3 1.0574E‐05

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 1.18E-05

1.18E-05

Mean =

Pooled Variance = 2.4530E-12

m= number future runs = 3

Term1 0.6667

Term2 1.6353E-12

Squared root Term2 1.2788E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 2.0723E-05

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 1.3200E-08 2.6549E-07

2 9.2100E-08 7.1530E-08

3 6.6185E-08

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 2 3

Total Number of sources = 2

n =Total # test runs = 5

1

N

i

i

n





N
4

This step is for QC only:

means 5.27E-08 1.34E-07

1.02E-07

Mean =

Pooled Variance = 9.2306E-15

m= number future runs = 3

Term1 0.5333

Term2 4.9230E-15

Squared root Term2 7.01642E-08

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.75

UPL POOLED VARIANCE = 3.6460E-07

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p 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

1

N

i

i

n





N
1

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

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 31.82051595

UPL POOLED VARIANCE = 1.67326E-06

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

       
#DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0!

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

UPL Pooled 

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 7.7261E‐08 2.4823E‐06

2 5.3907E‐07 6.6880E‐07

3 6.1883E‐07

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 2 3

Total Number of sources = 2

n =Total # test runs = 5

1

N

i

i

n





N
4

This step is for QC only:

means 3.08E-07 1.26E-06

8.77E-07

Mean =

Pooled Variance = 8.6020E-13

m= number future runs = 3

Term1 0.5333

Term2 4.5878E-13

Squared root Term2 6.7733E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.75

UPL POOLED VARIANCE = 3.4152E-06

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 7.7261E‐08

2 5.3907E‐07

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 2

Total Number of sources = 1

n =Total # test runs = 2

N  

1

N

i

i

n





N
1

This step is for QC only:

means 3.08E-07

3.08E-07

Mean =

Pooled Variance = 1.0663E-13

m= number future runs = 3

Term1 0.8333

Term2 8.8861E-14

Squared root Term2 2.9810E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 31.82

UPL POOLED VARIANCE = 9.7937E-06

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

     
Emissions (lb/MW)
UPL Pooled 

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 1.9800E‐07 7.8720E‐07

2 3.9600E‐07 9.1806E‐07

3 5.2200E‐07 6.2805E‐07

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 3.72E-07 7.78E-07

5.75E-07

Mean =

Pooled Variance = 6.8503E-14

m= number future runs = 3

Term1 0.5000

Term2 3.4251E-14

Squared root Term2 1.85071E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 1.1976E-06

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p 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

N  

1

N

i

i

n





N
2

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

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 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
5

This step is for QC only:

means 2.18E-06 7.27E-06

4.72E-06

Mean =

Pooled Variance = 8.8903E-12

m= number future runs = 3

Term1 0.5000

Term2 4.4451E-12

Squared root Term2 2.1083E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 1.1819E-05

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 1.1589E‐06

2 2.3178E‐06

3 3.0553E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 2.18E-06

2.18E-06

Mean =

Pooled Variance = 9.1388E-13

m= number future runs = 3

Term1 0.6667

Term2 6.0925E-13

Squared root Term2 7.8055E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 7.6135E-06

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 4.3900E‐09 1.4476E‐08

2 7.5600E‐09 1.4081E‐08

3 6.1400E‐09 1.4082E‐08

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 6.03E-09 1.42E-08

1.01E-08

Mean =

Pooled Variance = 2.1117E-17

m= number future runs = 3

Term1 0.5000

Term2 1.0558E-17

Squared root Term2 3.24937E-09

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 2.1055E-08

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

ij

i j

X x

n  

 

1 1

n m



s

2 1 1

n m

      

1

1

N

i

i

df n 

        

d f t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

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

Variance=

2

,

1 1 Xt s df p 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

N  

1

N

i

i

n





N
2

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

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 1.5059E-08

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

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

Variance=

2

,

1 1 Xt s df p n m

       




primary_fuel ORIS code Plant Name physical_state Unit Number Unit Type

Petroleum coke syngas 1010 Wabash River IN PG7221FA IGCC

coal gas 7242 Polk FL IGCC1 IGCC
Boiler_type Boiler_count Total_Capacity_MWe Total_max_heat_input Unit_heat_rate

MW MMBtu/hr MMBtu/MWh

IGCC 1 292 1709 5.85

IGCC 1 260 2431 9.35
Fuel types Antimony_Fuel_lb/MMBtu Antimony ‐ ERT Antimony MW ‐ ERT

lb/MMBtu lb/MMBtu lb/MW

Petroleum coke syngas 2.02E‐04 5.27E‐08 3.08E‐07

coal gas 7.11E‐05 1.34E‐07 1.26E‐06
Antimony ‐ Part II Antimony MW ‐ Part II Antimony ‐ min Antimony MW ‐ min

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

5.27E‐08 3.08E‐07

1.34E‐07 1.26E‐06
Arsenic_Fuel_lb/MMBtu Arsenic ‐ ERT Arsenic MW ‐ ERT Arsenic ‐ Part II Arsenic MW ‐ Part II

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

1.35E‐04 3.72E‐07 2.18E‐06

1.49E‐04 7.78E‐07 7.27E‐06
Arsenic ‐ min Arsenic MW ‐ min Beryllium_Fuel_lb/MMBtu Beryllium ‐ ERT Beryllium MW ‐ ERT

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

3.72E‐07 2.18E‐06 6.74E‐05 6.03E‐09 3.53E‐08

7.78E‐07 7.27E‐06 7.11E‐06 1.42E‐08 1.33E‐07
Beryllium ‐ Part II Beryllium MW ‐ Part II Beryllium ‐ min Beryllium MW ‐ min

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

6.03E‐09 3.53E‐08

1.42E‐08 1.33E‐07
Cadmium_Fuel_lb/MMBtu Cadmium ‐ ERT Cadmium MW ‐ ERT Cadmium ‐ Part II

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

6.74E‐05 3.39E‐08 1.98E‐07

1.42E‐05 7.27E‐08 6.80E‐07
Cadmium MW ‐ Part II Cadmium ‐ min Cadmium MW ‐ min Chromium_Fuel_lb/MMBtu

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

3.39E‐08 1.98E‐07 5.03E‐04

7.27E‐08 6.80E‐07 5.12E‐04
Chromium ‐ ERT Chromium MW ‐ ERT Chromium ‐ Part II Chromium MW ‐ Part II Chromium ‐ min

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

1.78E‐06 1.04E‐05 1.78E‐06

5.88E‐07 5.49E‐06 5.88E‐07
Chromium MW ‐ min Cobalt_Fuel_lb/MMBtu Cobalt ‐ ERT Cobalt MW ‐ ERT Cobalt ‐ Part II

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

1.04E‐05 1.91E‐05 1.80E‐07 1.05E‐06

5.49E‐06 1.85E‐04 7.80E‐08 7.30E‐07
Cobalt MW ‐ Part II Cobalt ‐ min Cobalt MW ‐ min Lead_Fuel_lb/MMBtu Lead ‐ ERT Lead MW ‐ ERT

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

1.80E‐07 1.05E‐06 6.74E‐05 2.35E‐07 1.37E‐06

7.80E‐08 7.30E‐07 1.42E‐04 1.01E‐05 9.44E‐05
Lead ‐ Part II Lead MW ‐ Part II Lead ‐ min Lead MW ‐ min Manganese_Fuel_lb/MMBtu

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

2.35E‐07 1.37E‐06 3.51E‐04

1.01E‐05 9.44E‐05 7.11E‐06
Manganese ‐ ERT Manganese MW ‐ ERT Manganese ‐ Part II Manganese MW ‐ Part II

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

1.53E‐06 8.94E‐06

4.26E‐07 3.98E‐06
Manganese ‐ min Manganese MW ‐ min Nickel_Fuel_lb/MMBtu Nickel ‐ ERT Nickel MW ‐ ERT

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

1.53E‐06 8.94E‐06 5.87E‐03 1.42E‐06 8.31E‐06

4.26E‐07 3.98E‐06 1.11E‐02 2.30E‐06 2.15E‐05
Nickel ‐ Part II Nickel MW ‐ Part II Nickel ‐ min Nickel MW ‐ min Selenium_Fuel_lb/MMBtu

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

1.42E‐06 8.31E‐06 1.35E‐04

2.30E‐06 2.15E‐05 7.11E‐05
Selenium ‐ ERT Selenium MW ‐ ERT Selenium ‐ Part II Selenium MW ‐ Part II Selenium ‐ min

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

1.46E‐05 8.55E‐05 1.46E‐05

8.70E‐06 8.14E‐05 8.70E‐06
Selenium MW ‐ min Total Metals ‐ERT Total Metals MW ‐ERT

lb/MW lb/MMBtu lb/MW

8.55E‐05 2.02E‐05 1.18E‐04

8.14E‐05 2.32E‐05 2.17E‐04

5.85E+00

9.35E+00
Filterable Particulate_Method 29 ‐ ERT Filterable Particulate_Method 29 MW ‐ ERT

lb/MMBtu lb/MW

2.00E-02 1.17E-01

1.33E-03 1.24E-02
Filterable Particulate_Method 5 ‐ ERT Filterable Particulate_Method 5 MW ‐ ERT

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

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

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

lb/MMBtu lb/MW
Filterable PM2_5_OTM ‐ 27/28 ‐ ERT Filterable PM2_5_OTM ‐ 27/28 MW ‐ ERT

lb/MMBtu lb/MW

4.71E‐03 2.76E‐02

3.77E‐03 3.52E‐02
PM2_5 Condensible Particulate_Method 202 ‐ ERT

lb/MMBtu
PM2_5 Condensible Particulate_Method 202 MW ‐ ERT

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

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

lb/MW
PM2_5 Condensible Particulate_OTM ‐ 27/28 ‐ ERT

lb/MMBtu

1.38E‐02

1.28E‐02
PM2_5 Condensible Particulate_OTM ‐ 27/28 MW ‐ ERT

lb/MW

8.06E‐02

1.20E‐01
PM2_5 Condensible Particulate_OTM ‐ 28 ‐ ERT PM2_5 Condensible Particulate_OTM ‐ 28 MW ‐ ERT

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

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

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

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

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

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

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

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

lb/MMBtu lb/MW lb/MMBtu
PM2_5 (Filterable) MW ‐ Part II control_group_1 control_type_1 install_date_1

lb/MW

PM control PM scrubber ‐ Syngas PM scrubbing 01‐Oct‐96
control_group_2 control_type_2 install_date_2 control_group_3 control_type_3 install_date_3
control_group_4 control_type_4 install_date_4 control_group_5 control_type_5 install_date_5
control_group_6 control_type_6 install_date_6 control_group_7 control_type_7 install_date_7
control_group_8 control_type_8 install_date_8 control_group_9 control_type_9 install_date_9
control_group_10 control_type_10 install_date_10 control_group_11 control_type_11
install_date_11 control_group_12 control_type_12 install_date_12
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

N  

1

N

i

i

n





N
2

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

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 3.2407E-06

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

     
9% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)
UPL Pooled 

Variance=

2

,

1 1 Xt s df p n m

       
1010

ORIS/Facility/Unit Wabash River

Runs PG7221FA

1 7.3164E‐07 DLL

2 5.7243E‐06

3 5.9701E‐07

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N  

1

N

i

i

n





N
2

This step is for QC only:

means 2.35E-06

2.35E-06

Mean =

Pooled Variance = 8.5390E-12

m= number future runs = 3

Term1 0.6667

Term2 5.6927E-12

Squared root Term2 2.38594E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 1.8968E-05

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
Xt s df , p n m

     
Emissions (lb/MW)
UPL Pooled 

Variance=

2

,

1 1 Xt s df p n m

       
primary_fuel ORIS code Plant Name physical_state Unit Number

Petroleum coke syngas 1010 Wabash River IN PG7221FA

coal gas 7242 Polk FL IGCC1
Unit Type Boiler_Type Boiler_count Total_Capacity_MWe

MW

IGCC IGCC 1 292

IGCC IGCC 1 260
Total_max_heat_input Unit_heat_rate Fuel_types Fuel_Conc_lb/MMBtu

MMBtu/hr Mmbtu/MWh lb/MMBtu

1709 5.85 Petroleum coke syngas 9.67E‐07

2431 9.35 coal gas 4.23E‐06
Mercury ‐ ERT ercury MW ‐ ERMercury ‐ ETTSercury MW ‐ ETMercury ‐ CEMS Mercury ‐ Part II

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

4.02E‐07 2.35E‐06

1.23E‐06 1.15E‐05
ercury MW ‐ Part Mercury ‐ min control_group_1 control_type_1

lb/MW lb/MMBtu

4.02E‐07

1.23E‐06 PM control PM scrubber ‐ 
install_date_1 control_group_2 control_type_2

01‐Oct‐96
install_date_2 control_group_3 control_type_3
install_date_3 control_group_4 control_type_4 install_date_4 control_group_5
control_type_5 install_date_5 control_group_6 control_type_6 install_date_6 control_group_7
control_type_7 install_date_7 control_group_8 control_type_8 install_date_8 control_group_9
control_type_9 install_date_9 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 1.2500E-07 1.2400E-06

2 9.7800E-07 1.4200E-06

3 1.0200E-07 1.0400E-06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 4.02E-07 1.23E-06

8.18E-07

Mean =

Pooled Variance = 3.2166E-13

m= number future runs = 3

Term1 0.5000

Term2 1.6083E-13

Squared root Term2 4.01033E-07

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 2.1669E-06

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 Xt s df p

       
2

,

1 1 Xt s df p n m

       
Emissions (lb/MMBtu)
UPL Pooled 

Variance=

2

,

1 1 Xt s df p n m

       
1010 7242

ORIS/Facility/Unit Wabash River Polk

Runs PG7221FA IGCC1

1 7.3164E‐07 1.1594E‐05

2 5.7243E‐06 1.3277E‐05

3 5.9701E‐07 9.7240E‐06

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3 3

Total Number of sources = 2

n =Total # test runs = 6

1

N

i

i

n





N
5

This step is for QC only:

means 2.35E-06 1.15E-05

6.94E-06

Mean =

Pooled Variance = 2.9965E-11

m= number future runs = 3

Term1 0.5000

Term2 1.4982E-11

Squared root Term2 3.8707E-06

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 3.36

UPL POOLED VARIANCE = 1.9966E-05

 2 2

1

1

1

n

i

i

s xX

n 

   

1 1

1 N ni

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 ni

i ik

i k

x x

n 

 

2 1 1 X df p t s        
2

,

1 1 Xt s df p n m

       
Emissions (lb/MW)
UPL Pooled 

Variance=

2

,

1 1 Xt s df p n m

       
7242

ORIS/Facility/Unit Polk

Runs IGCC1

1 7.4248E‐04 BDL

2 7.4750E‐04 BDL

3 7.8838E‐04 BDL

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 3

Total Number of sources = 1

n =Total # test runs = 3

N   

1

N

i

i

n





N
2

This step is for QC only:

means 7.59E-04

7.59E-04

Mean =

Pooled Variance = 6.3386E-10

m= number future runs = 3

Term1 0.6667

Term2 4.2257E-10

Squared root Term2 2.05565E-05

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99

t-statistic

= quantile t-distribution 

with df degrees of 

freedom at .99 

confidence level = 6.96

UPL POOLED VARIANCE = 9.0262E-04

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 N ni

ij

i j

X x

n  

 

1 1

n m



s

2 1 1

n m

      

1

1

N

i

i

df n 

        

d f t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

2

,

1 1 Xt s df p n m

       
MDL x 3 2.2425E-03

Xt s df , p n m     
UPL Pooled 

Variance=

2

,

1 1 Xt s df p n m

       
primary_fuel ORIS code Plant Name physical_state Unit Number

Petroleum coke syngas 1010 Wabash River IN PG7221FA

coal gas 7242 Polk FL IGCC1
Unit Type Boiler_type Boiler_count

IGCC IGCC 1

IGCC IGCC 1
Total_Capacity_MWe Total_max_heat_input Unit_heat_rate

MW MMBtu/hr Mmbtu/MWh

292 1709 5.85

260 2431 9.35
Fuel types Fuel_Cl_lb/MMBtu

lb/MMBtu

Petroleum coke syngas 1.58E‐02

coal gas 1.64E‐02
Fuel_F_lb/MMBtu Chlorine ‐ ERT Chlorine MW ‐ ERT Chlorine ‐ ETTS hlorine MW ‐ ET

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

6.77E‐04

7.11E‐03
Chlorine ‐ Part II hlorine MW ‐ Part Chlorine ‐ min Chlorine MW ‐ min

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

lb/MMBtu lb/MW
HCN ‐ ETTS HCN MW ‐ ETTS

lb/MMBtu lb/MW

3.21E‐05 1.88E‐04

5.19E‐05 4.85E‐04
HCN ‐ Part II HCN MW ‐ Part II

lb/MMBtu lb/MW
HCN ‐ min HCN MW ‐ min

lb/MMBtu lb/MW

3.21E‐05 1.88E‐04

5.19E‐05 4.85E‐04
Hydrogen Chloride ‐ ERT Hydrogen Chloride MW ‐ ERT

lb/MMBtu lb/MW

2.84E‐04 1.66E‐03

8.12E‐05 7.59E‐04
Hydrogen Chloride ‐ ETTS Hydrogen Chloride MW ‐ ETTS

lb/MMBtu lb/MW
Hydrogen Chloride ‐ Part II Hydrogen Chloride MW ‐ Part II Hydrogen Chloride ‐ min

lb/MMBtu lb/MW lb/MMBtu

2.84E‐04

8.12E‐05
Hydrogen Chloride MW ‐ min Hydrogen Fluoride ‐ ERT drogen Fluoride MW ‐ 

lb/MW lb/MMBtu lb/MW

1.66E‐03 1.71E‐04 9.99E‐04

7.59E‐04 8.32E‐05 7.78E‐04
ydrogen Fluoride ‐ ETT Hydrogen Fluoride MW ‐ ETTS ydrogen Fluoride ‐ Part

lb/MMBtu lb/MW lb/MMBtu
rogen Fluoride MW ‐ Pydrogen Fluoride ‐ mdrogen Fluoride MW ‐  Sulfur Dioxide ‐ CEMS

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

1.71E‐04 9.99E‐04

8.32E‐05 7.78E‐04
Sulfur Dioxide MW ‐ CEMS Sulfur Dioxide ‐ ERT ulfur Dioxide MW ‐ ERSulfur Dioxide ‐ ETTS

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

4.52E+01 2.64E+02
ulfur Dioxide MW ‐ ETTSulfur Dioxide ‐ Part IIfur Dioxide MW ‐ Pa Sulfur Dioxide ‐ min ulfur Dioxide MW ‐ mi

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

4.52E+01 2.64E+02
control_group_1 control_type_1 install_date_1 control_group_2 control_type_2

PM control PM scrubber ‐ Syngas 01‐Oct‐96
install_date_2 control_group_3 control_type_3 install_date_3
control_group_4 control_type_4 install_date_4 control_group_5
control_type_5 install_date_5 control_group_6 control_type_6 nstall_date_ntrol_group
ontrol_typen_stall_date_ntrol_grouopntrol_typen_stall_date_ntrol_grouopntrol_typen_stall_date_trol_group_
ntrol_type_stall_date_ trol_groupn_trol_type_stall_date_ trol_groupn_trol_type_stall_date_12