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-02 lb/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-01 lb/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-02 lb/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 0.0020 2.0E-03 lb/MWh No

Summary of UPLs using emission averages - IGCC Units

Existing New

Existing New
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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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

df ni

 

    

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% confidence is desire

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 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 X tdf p

s

n m

 

     
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
2

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 desire

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

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 X tdf p

s

n m

 

     
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)
UPL Pooled 

Variance=

2

,

1 1 X tdf p

s

n m

 

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

Petroleum coke syngas 1010 Wabash River IN PG7221FA

coal gas 7242 Polk FL IGCC1
Unit Type Boiler_Type Boiler_count Total_Capacity_MWe

MW

IGCC IGCC1 292

IGCC IGCC1 260
Total_max_heat_input Unit_heat_rate Fuel_types Fuel_Conc_lb/MMBtu

MMBtu/hr Mmbtu/MWh lb/MMBtu

1709 10.12 Petroleum coke syngas 9.67E-07

2431 9.87 coal gas 4.23E-06
Mercury - ERTMercury MW - ERTMercury - ETTSMercury MW - ETTSMercury - 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-05 PM 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_12
1010 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





N
5

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 desire

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

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 

 
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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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

df ni

 

    

1

N

i

i

n





N
2

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 desire

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

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 tdf p

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 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Total 3xRDL, 4dscm sample volume 0.000108407

Floor Value 4.9940E-04

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/MW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
2

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 desire

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

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 X tdf p

s

n m

 

     
Total 3xRDL, 4dscm sample volume 0.000108407

Floor Value 3.5845E-01
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
4

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 desire

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

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 tdf p

s

n m

 

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

Floor Value 1.3235E-06

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





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% confidence is desire

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

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 tdf p

s

n m

 

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

Floor Value 1.6733E-06
0 0 0 0 0 0 0

Emissions (lb/MMBtu)
#DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0!

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
0

000000

UPL Pooled 

Variance=

2

,

1 1 X tdf p 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





N
4

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 desire

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

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 tdf p

s

n m

 

     
Sb 3xRDL, 4dscm sample volume 1.3235E-05

Floor Value 1.3235E-02

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
1

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 desire

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

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 tdf p

s

n m

 

     
Sb 3xRDL, 4dscm sample volume 1.3235E-05

Floor Value 1.6941E-02
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 tdf p

s

n m

 

     
As 3xRDL, 4dscm sample volume 4.81273E-07

Floor Value 1.4137E-06

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





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% confidence is desire

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 X tdf p

s

n m

 

     
As 3xRDL, 4dscm sample volume 4.81273E-07

Floor Value 1.3008E-06
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 tdf p

s

n m

 

     
As 3xRDL, 4dscm sample volume 4.81273E-06

Floor Value 1.3906E-02

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
2

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 desire

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

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 tdf p

s

n m

 

     
As 3xRDL, 4dscm sample volume 4.81273E-06

Floor Value 1.3169E-02
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Be 3xRDL, 4dscm sample volume 9.62547E-08

Floor Value 9.6255E-08

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





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% confidence is desire

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 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 X tdf p

s

n m

 

     
Be 3xRDL, 4dscm sample volume 9.62547E-08

Floor Value 9.6255E-08
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Be 3xRDL, 4dscm sample volume 9.62547E-07

Floor Value 9.6255E-04

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
2

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 desire

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

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 X tdf p

s

n m

 

     
Be 3xRDL, 4dscm sample volume 9.62547E-07

Floor Value 9.6255E-04
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Cd 3xRDL, 4dscm sample volume 3.60955E-08

Floor Value 1.4769E-07

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





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% confidence is desire

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 X tdf p

s

n m

 

     
Cd 3xRDL, 4dscm sample volume 3.60955E-08

Floor Value 1.5822E-07
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Cd 3xRDL, 4dscm sample volume 3.60955E-07

Floor Value 1.4564E-03

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
2

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 desire

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

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 X tdf p

s

n m

 

     
Cd 3xRDL, 4dscm sample volume 3.60955E-07

Floor Value 1.6018E-03
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

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

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

lb/MMBtu

lb/MMBtu
lb/MMBtu

lb/MMBtu
-15.80675213 -14.4987074

-16.47296685 -18.53721458

-16.55627415 -17.45369688
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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

df ni

 

    

1

N

i

i

n





N
2

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 desire

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

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 X tdf p

s

n m

 

     
Co 3xRDL, 4dscm sample volume 3.60955E-07

Floor Value 3.6096E-07
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/MW

lb/GW
-13.51761111 -12.18377386

-14.18382584 -16.22228106

-14.26713304 -15.13876341
UPL Pooled 

Variance=

2

,

1 1 X tdf p

s

n m

 

     
7242

ORIS/Facility/Unit Polk

Runs IGCC1 1 1.3470E-06 2 6.9190E-07 3 6.3659E-07 456789

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

dfn

 

  

1N

i

i

n



N
2

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 desire

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

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 X tdf p

s

n m

 

     
Co 3xRDL, 4dscm sample volume 3.60955E-06

Floor Value 3.6096E-03
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Cr 3xRDL, 4dscm sample volume 3.60955E-07

Floor Value 2.8173E-06

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

s

n m

 

     
7242

ORIS/Facility/Unit Polk

Runs IGCC1 1 1.0135E-06 2 8.4348E-07 3 1.8969E-07 456789

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

dfn

 

  

1N

i

i

n



N
2

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 desire

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

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 X tdf p

s

n m

 

     
Cr 3xRDL, 4dscm sample volume 3.60955E-07

Floor Value 3.1555E-06
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Cr 3xRDL, 4dscm sample volume 3.60955E-06

Floor Value 2.8575E-02

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

s

n m

 

     
7242

ORIS/Facility/Unit Polk

Runs IGCC1 1 9.9998E-06 2 8.3222E-06 3 1.8716E-06 456789

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

dfn

 

  

1N

i

i

n



N
2

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 desire

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

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 X tdf p

s

n m

 

     
Cr 3xRDL, 4dscm sample volume 3.60955E-06

Floor Value 3.1134E-02
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu

lb/MMBtu
-15.32963827 -10.45813268

-15.83291671 -12.31459498

-14.86247958 -13.14694322
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





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% confidence is desire

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 X tdf p

s

n m

 

     
Pb 3xRDL, 4dscm sample volume 3.60955E-07

Floor Value 8.5869E-07
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/MW

lb/GW
-13.01470475 -8.168991708

-13.5179832 -10.02545398

-12.54754606 -10.85780216
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
2

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 desire

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

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 X tdf p

s

n m

 

     
Pb 3xRDL, 4dscm sample volume 3.60955E-06

Floor Value 8.6936E-03
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Mn 3xRDL, 4dscm sample volume 3.60955E-07

Floor Value 2.4143E-06

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

s

n m

 

     
7242

ORIS/Facility/Unit Polk

Runs IGCC1 1 7.1827E-07 2 2.6117E-07 3 4.9681E-07 456789

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

dfn

 

  

1N

i

i

n



N
2

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 desire

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

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 X tdf p

s

n m

 

     
Mn 3xRDL, 4dscm sample volume 3.60955E-07

Floor Value 1.7920E-06
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Mn 3xRDL, 4dscm sample volume 3.60955E-06

Floor Value 2.4517E-02

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

s

n m

 

     
7242

ORIS/Facility/Unit Polk

Runs IGCC1 1 7.0868E-06 2 2.5768E-06 3 4.9018E-06 456789

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

dfn

 

  

1N

i

i

n



N
2

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 desire

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

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 X tdf p

s

n m

 

     
Mn 3xRDL, 4dscm sample volume 3.60955E-06

Floor Value 1.7680E-02
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Ni 3xRDL, 4dscm sample volume 6.49719E-06

Floor Value 6.4972E-06

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





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% confidence is desire

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 X tdf p

s

n m

 

     
Ni 3xRDL, 4dscm sample volume 6.49719E-06

Floor Value 6.4972E-06
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Ni 3xRDL, 4dscm sample volume 6.49719E-05

Floor Value 6.4972E-02

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
2

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 desire

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

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 X tdf p

s

n m

 

     
Ni 3xRDL, 4dscm sample volume 6.49719E-05

Floor Value 6.4972E-02
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Se 3xRDL, 4dscm sample volume 9.62547E-07

Floor Value 2.1355E-05

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

s

n m

 

     
7242

ORIS/Facility/Unit Polk

Runs IGCC1 1 9.1129E-06 2 1.3960E-05 3 7.1780E-06 456789

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

dfn

 

  

1N

i

i

n



N
2

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 desire

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

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 X tdf p

s

n m

 

     
Se 3xRDL, 4dscm sample volume 9.62547E-07

Floor Value 2.9950E-05
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
Se 3xRDL, 4dscm sample volume 9.62547E-06

Floor Value 2.1639E-01

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

s

n m

 

     
7242

ORIS/Facility/Unit Polk

Runs IGCC1 1 8.9912E-05 2 1.3773E-04 3 7.0821E-05 456789

10

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ni = number test runs =3

Total Number of sources =1

n =Total # test runs =3

1

N

dfn

 

  

1N

i

i

n



N
2

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 desire

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

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 

 
Se 3xRDL, 4dscm sample volume 9.62547E-06

Floor Value 2.9550E-01
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/GW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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

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20

21

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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 1.54E-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 desire

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

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 X tdf p

s

n m

 

     
fPM 3xRDL, 4dscm sample volume 0.001203184

Floor Value 3.5195E-02

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

s

n m

 

     
7242

ORIS/Facility/Unit Polk

Runs IGCC1 1 1.9504E-03 2 2.3266E-03 3 3.5487E-04 456789

10

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ni = number test runs =3

Total Number of sources =1

n =Total # test runs =3

1

N

dfn

 

  

1N

i

i

n



N
2

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 desire

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

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 tdf p

s

n m

 

     
fPM 3xRDL, 4dscm sample volume 0.001203184

Floor Value 7.4967E-03
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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

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20

21

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23

24

25

26

27

28

29

30

31

32

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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 1.52E-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 desire

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

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 X tdf p

s

n m

 

     
fPM 3xRDL, 4dscm sample volume 0.012031835

Floor Value 3.5661E-01

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/MW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

s

n m

 

     
7242

ORIS/Facility/Unit Polk

Runs IGCC1 1 1.9243E-02 2 2.2956E-02 3 3.5013E-03 456789

10

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24

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35

ni = number test runs =3

Total Number of sources =1

n =Total # test runs =3

1

N

dfn

 

  

1N

i

i

n



N
2

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 desire

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

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 tdf p

s

n m

 

     
fPM 3xRDL, 4dscm sample volume 0.012031835

Floor Value 7.3966E-02
Emissions (lb/MW)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/MW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
HCl 3xRDL, 4dscm sample volume 7.2191E-05

Floor Value 4.4175E-04

2

X tdf , ps

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

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

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
2

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 desire

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

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 X tdf p

s

n m

 

     
HCl 3xRDL, 4dscm sample volume 7.2191E-05

Floor Value 1.0888E-04
Emissions (lb/MMBtu)
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MMBtu
lb/MMBtu

lb/MMBtu
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
5

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 desire

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

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 X tdf p

s

n m

 

     
HCl 3xRDL, 4dscm sample volume 0.00072191

Floor Value 4.4910E-03

2

,

1 1 X tdf p

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

ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/MW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

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





N
2

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 desire

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

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 X tdf p

s

n m

 

     
HCl 3xRDL, 4dscm sample volume 0.00072191

Floor Value 1.0743E-03

X tdf , ps

n m

     
ence, so if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)

lb/MW
lb/MW

lb/MW
UPL Pooled 

Variance=

2

,

1 1 X tdf p

s

n m

 

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

Petroleum coke syngas 1010 Wabash River IN PG7221FA IGCC

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

MW MMBtu/hr Mmbtu/MWh

IGCC 1 292 1709 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