SummaryofUPLsusingemissionaverages‐PetroleumCoke‐firedUnitsMean(lb/MMBtu) UPL(lb/MMBtu)NumberofunitsinthefloorFloorvalue Mean(lb/MMBtu) UPL(lb/MMBtu)NumberofunitsinthefloorAntimony(Sb) 9.6847E‐08 3.2348E‐07 5 0.4 lb/TBtu 1.8261E‐08 7.3164E‐08 1Arsenic(As) 1.4279E‐07 3.1228E‐07 5 0.4 lb/TBtu 4.1765E‐08 1.1105E‐07 1Beryllium(Be) 2.7617E‐08 6.4659E‐08 5 0.07 lb/TBtu 5.8683E‐09 6.0941E‐09 1Cadmium(Cd) 1.5634E‐07 3.7855E‐07 5 0.4 lb/TBtu 2.0839E‐08 5.3983E‐08 1Chromium(Cr) 5.0947E‐07 1.2553E‐06 5 2 lb/TBtu 1.3964E‐07 6.6949E‐07 1Cobalt(Co) 3.4111E‐07 1.0863E‐06 5 2 lb/TBtu 5.5427E‐08 1.3612E‐07 1Lead(Pb) 2.4897E‐06 1.0454E‐05 5 11 lb/TBtu 2.4868E‐07 8.2373E‐07 1Manganese(Mn) 1.0302E‐06 2.3227E‐06 5 3 lb/TBtu 1.8021E‐07 6.9399E‐07 1Nickel(Ni) 3.5824E‐06 8.9021E‐06 5 9 lb/TBtu 2.2368E‐07 7.0986E‐07 1Selenium(Se) 5.9813E‐07 1.2850E‐06 5 2 lb/TBtu 7.9199E‐08 9.2178E‐08 1Mean(lb/MW) UPL(lb/MW)NumberofunitsinthefloorFloorvalue Mean(lb/MW) UPL(lb/MW)NumberofunitsinthefloorFloorvalueAntimony(Sb) 1.5764E‐06 6.1877E‐06 5 0.007 lb/GWh 2.1008E‐07 8.4167E‐07 1 0.0009 lb/GWhArsenic(As) 1.5272E‐06 3.2409E‐06 5 0.004 lb/GWh 4.8046E‐07 1.2775E‐06 1 0.002 lb/GWhBeryllium(Be) 2.7902E‐07 6.1268E‐07 5 0.0007 lb/GWh 6.7508E‐08 7.0105E‐08 1 0.00008 lb/GWhCadmium(Cd) 1.8487E‐06 3.9961E‐06 5 0.004 lb/GWh 2.3972E‐07 6.2101E‐07 1 0.007 lb/GWhChromium(Cr) 7.2496E‐06 1.7488E‐05 5 0.02 lb/GWh 1.2450E‐06 5.9693E‐06 1 0.006 lb/GWhCobalt(Co) 4.3110E‐06 1.0409E‐05 5 0.02 lb/GWh 6.3762E‐07 1.5659E‐06 1 0.002 lb/GWhLead(Pb) 7.3055E‐06 1.4667E‐05 5 0.02 lb/GWh 3.9369E‐06 1.3036E‐05 1 0.02 lb/GWhManganese(Mn) 1.6152E‐05 3.9828E‐05 5 0.04 lb/GWh 1.6067E‐06 6.1877E‐06 1 0.007 lb/GWhNickel(Ni) 3.7272E‐05 8.9585E‐05 5 0.09 lb/GWh 1.9944E‐06 6.3292E‐06 1 0.007 lb/GWhSelenium(Se) 6.6314E‐06 1.4259E‐05 5 0.02 lb/GWh 7.0615E‐07 8.2187E‐07 1 0.0009 lb/GWhExistingNewNewExisting10670 667 ORIS/Facility/Unit AES Deepwater Northside Generating Station Runs Deepwater 2A 1 2.0565E ‐ 04 8.1861E ‐ 04 2 2.2538E ‐ 04 8.6528E ‐ 04 3 2.1572E ‐ 04 7.4870E ‐ 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 = 5 n =Total # test runs = 15 1 N i i 

### n

 

#  N14 This step is for QC only: means 2.16E-04 8.11E-04

1.82E-02 Mean = Pooled Variance = 1.3345E-03

m= number future runs = 3 Term1 0.4000 Term2 5.3378E-04
Squared root Term2 0.023103733 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% c

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 UPL POOLED VARIANCE = 0.0788 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2
, 

### 1 1 df p 

### Xt s n m        , df p 

### Xt s n m      667 10373 4125 Northside Generating Station Hanford Manitowoc 1A 1A B-09 1.2171E ‐ 03 6.4302E ‐ 03 1.2138E ‐ 01 7.7052E ‐ 03 6.4302E ‐ 03 8.7749E ‐ 02 1.1666E ‐ 03 5.3585E ‐ 03 3.1993E ‐ 02

33 3 Emissions (lb/MW)3.36E-03 6.07E-03 8.04E-02

c onfidence is desired then alpha=0.01 and 2*alpha=2*(0.01 )UPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        10670 ORIS/Facility/Unit AES Deepwater Runs Deepwater 1 2.0565E ‐ 04 2 2.2538E ‐ 04 3 2.1572E ‐ 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

N 

###  



#  1 N i i 

### n

 

#  N2 This step is for QC only: means 2.16E-04

2.16E-04 Mean = Pooled Variance = 9.7352E-11

m= number future runs = 3 Term1 0.6667 Term2 6.4901E-11
Squared root Term2 8.05612E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 UPL POOLED VARIANCE = 0.00027 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2
, 

### 1 1 df p 

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

## 1 1 df p 

## Xt s n m        667 ORIS/Facility/Unit Northside Generating Station Runs 2A 1 3.4767E ‐ 02 2 3.3816E ‐ 02 3 3.2296E ‐ 02 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3 1 N i i 

### n

 

#  N2 This step is for QC only: means 3.36E-02

3.36E-02 Mean = Pooled Variance = 1.5531E-06

m= number future runs = 3 Term1 0.6667 Term2 1.0354E-06
Squared root Term2 0.001017549 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if

t-statistic = quantile tdistribution with df degrees of freedom at .99 confidence level = 6.96 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

1 1  UPL POOLED VARIANCE = 0.0407 2
, 

### 1 1 df p 

### Xt s n m        Emissions (lb/MW)99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        , df p 

## n m    primary_fuel ORIS code Plant Name physical_state Unit Number petroleum coke 4125 Manitowoc WI B ‐ 09 petroleum coke 667 Northside Generating Station FL 2A petroleum coke 667 Northside Generating Station FL 1A petroleum coke 2878 Bay Shore OH Unit 1 petroleum coke 10670 AES Deepwater TX Deepwater petroleum coke 50931 Yellowstone Energy LP MT Config1 petroleum coke 10373 Hanford CA 1AUnit Type Boiler_type Boiler_count Total_Capacity_MWe Total_max_heat_input MW MMBtu/hr Fluidized bed firing Fluidized bed firing 1 63 1244 Fluidized bed firing Fluidized bed firing 1 310 2764 Fluidized bed firing Fluidized bed firing 1 310 2764 Fluidized bed firing Fluidized bed firing 1 151 1218 Conventional Boiler Arch firing 1 158 1818 Fluidized bed firing Fluidized bed firing 2 60 1036 Fluidized bed firing Fluidized bed firing 1 27 290Unit_heat_rate Fuel types MMBtu/MWh 19.63 petroleum coke, subbituminous, other ‐‐ wood charcoal/paper pellets

8.92 petroleum coke, bituminous 8.92 petroleum coke, bituminous 8.07 petroleum coke 11.50 petroleum coke 17.27 petroleum coke, other fossil fuel (specify), oil ‐ distillate 10.72 petroleum cokeAntimony_Fuel_lb/MMBtu Antimony ‐ ERT Antimony MW ‐ ERT Antimony ‐ Part II lb/MMBtu lb/MMBtu lb/MW lb/MMBtu 3.16E ‐ 07 6.21E ‐ 06 2.08E ‐ 06 4.96E ‐ 08 4.42E ‐ 07 3.33E ‐ 05 1.08E ‐ 06 9.62E ‐ 06 6.52E ‐ 05 7.70E ‐ 08 6.21E ‐ 07 1.94E ‐ 05 1.83E ‐ 08 2.10E ‐ 07 2.30E ‐ 08 3.97E ‐ 07 6.65E ‐ 05 4.69E ‐ 06 5.03E ‐ 05Antimony MW ‐ Part II Antimony ‐ min Antimony MW ‐ min Arsenic_Fuel_lb/MMBtu Arsenic ‐ ERT lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MMBtu 3.16E ‐ 07 6.21E ‐ 06 6.80E ‐ 04 3.26E ‐ 06 4.96E ‐ 08 4.42E ‐ 07 5.54E ‐ 05 6.08E ‐ 08 1.08E ‐ 06 9.62E ‐ 06 6.36E ‐ 05 2.36E ‐ 07 7.70E ‐ 08 6.21E ‐ 07 1.30E ‐ 04 1.45E ‐ 07 1.83E ‐ 08 2.10E ‐ 07 8.43E ‐ 06 4.18E ‐ 08 2.30E ‐ 08 3.97E ‐ 07 2.30E ‐ 07 4.69E ‐ 06 5.03E ‐ 05 6.65E ‐ 05 1.44E ‐ 04Arsenic MW ‐ ERT Arsenic ‐ Part II Arsenic MW ‐ Part II Arsenic ‐ min Arsenic MW ‐ min lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW 6.41E ‐ 05 3.26E ‐ 06 6.41E ‐ 05 5.42E ‐ 07 6.08E ‐ 08 5.42E ‐ 07 2.11E ‐ 06 2.36E ‐ 07 2.11E ‐ 06 1.17E ‐ 06 1.45E ‐ 07 1.17E ‐ 06 4.80E ‐ 07 4.18E ‐ 08 4.80E ‐ 07 3.97E ‐ 06 2.30E ‐ 07 3.97E ‐ 06 1.54E ‐ 03 1.44E ‐ 04 1.54E ‐ 03Beryllium_Fuel_lb/MMBtu Beryllium ‐ ERT Beryllium MW ‐ ERT Beryllium ‐ Part II lb/MMBtu lb/MMBtu lb/MW lb/MMBtu 1.82E ‐ 06 5.17E ‐ 08 1.02E ‐ 06 2.08E ‐ 06 5.89E ‐ 08 5.26E ‐ 07 4.66E ‐ 06 5.55E ‐ 08 4.95E ‐ 07 6.52E ‐ 05 1.34E ‐ 08 1.08E ‐ 07 7.13E ‐ 06 5.87E ‐ 09 6.75E ‐ 08 1.15E ‐ 08 1.98E ‐ 07 1.33E ‐ 05 3.31E ‐ 07 3.55E ‐ 06Beryllium MW ‐ Part II Beryllium ‐ min Beryllium MW ‐ min Cadmium_Fuel_lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 5.17E ‐ 08 1.02E ‐ 06 2.19E ‐ 06 5.89E ‐ 08 5.26E ‐ 07 6.33E ‐ 06 5.55E ‐ 08 4.95E ‐ 07 8.00E ‐ 06 1.34E ‐ 08 1.08E ‐ 07 6.63E ‐ 05 5.87E ‐ 09 6.75E ‐ 08 9.72E ‐ 06 1.15E ‐ 08 1.98E ‐ 07 3.31E ‐ 07 3.55E ‐ 06 1.33E ‐ 05Cadmium ‐ ERT Cadmium MW ‐ ERT Cadmium ‐ Part II Cadmium MW ‐ Part II Cadmium ‐ min lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 1.52E ‐ 07 2.99E ‐ 06 1.52E ‐ 07 3.53E ‐ 07 3.15E ‐ 06 3.53E ‐ 07 1.85E ‐ 07 1.65E ‐ 06 1.85E ‐ 07 6.68E ‐ 07 5.39E ‐ 06 6.68E ‐ 07 2.08E ‐ 08 2.40E ‐ 07 2.08E ‐ 08 7.02E ‐ 08 1.21E ‐ 06 7.02E ‐ 08 7.19E ‐ 07 7.70E ‐ 06 7.19E ‐ 07Cadmium MW ‐ min Chromium_Fuel_lb/MMBtu Chromium ‐ ERT Chromium MW ‐ ERT lb/MW lb/MMBtu lb/MMBtu lb/MW 2.99E ‐ 06 5.12E ‐ 05 7.03E ‐ 07 1.38E ‐ 05 3.15E ‐ 06 2.05E ‐ 04 1.40E ‐ 07 1.25E ‐ 06 1.65E ‐ 06 2.26E ‐ 04 1.66E ‐ 07 1.48E ‐ 06 5.39E ‐ 06 8.21E ‐ 05 5.76E ‐ 06 4.64E ‐ 05 2.40E ‐ 07 1.30E ‐ 05 1.19E ‐ 06 1.37E ‐ 05 1.21E ‐ 06 3.51E ‐ 07 6.05E ‐ 06 7.70E ‐ 06 3.77E ‐ 04 2.19E ‐ 06 2.34E ‐ 05Chromium ‐ Part II Chromium MW ‐ Part II Chromium ‐ min Chromium MW ‐ min lb/MMBtu lb/MW lb/MMBtu lb/MW 7.03E ‐ 07 1.38E ‐ 05 1.40E ‐ 07 1.25E ‐ 06 1.66E ‐ 07 1.48E ‐ 06 5.76E ‐ 06 4.64E ‐ 05 1.19E ‐ 06 1.37E ‐ 05 3.51E ‐ 07 6.05E ‐ 06 2.19E ‐ 06 2.34E ‐ 05Cobalt_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 4.16E ‐ 05 3.43E ‐ 07 6.73E ‐ 06 1.54E ‐ 04 1.84E ‐ 07 1.64E ‐ 06 2.03E ‐ 04 3.94E ‐ 07 3.51E ‐ 06 6.52E ‐ 05 1.12E ‐ 06 9.03E ‐ 06 5.19E ‐ 06 5.54E ‐ 08 6.38E ‐ 07 7.29E ‐ 07 1.26E ‐ 05 4.44E ‐ 04 1.15E ‐ 06 1.23E ‐ 05Cobalt ‐ 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 3.43E ‐ 07 6.73E ‐ 06 5.38E ‐ 05 6.59E ‐ 07 1.29E ‐ 05 1.84E ‐ 07 1.64E ‐ 06 4.67E ‐ 05 1.07E ‐ 05 9.53E ‐ 05 1.25E ‐ 06 3.94E ‐ 07 3.51E ‐ 06 3.35E ‐ 05 1.38E ‐ 04 1.23E ‐ 03 1.12E ‐ 06 9.03E ‐ 06 6.52E ‐ 05 4.88E ‐ 07 3.94E ‐ 06 5.54E ‐ 08 6.38E ‐ 07 3.41E ‐ 05 3.66E ‐ 07 4.21E ‐ 06 7.29E ‐ 07 1.26E ‐ 05 2.49E ‐ 07 4.29E ‐ 06 1.15E ‐ 06 1.23E ‐ 05 1.33E ‐ 04 1.08E ‐ 05 1.15E ‐ 04Lead MW ‐ Part II Lead ‐ min Lead MW ‐ min Manganese_Fuel_lb/MMBtu Manganese ‐ ERT lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MMBtu 6.59E ‐ 07 1.29E ‐ 05 1.46E ‐ 04 1.74E ‐ 06 1.11E ‐ 05 1.25E ‐ 06 1.11E ‐ 05 5.15E ‐ 04 2.10E ‐ 07 1.38E ‐ 04 1.23E ‐ 03 6.37E ‐ 04 1.80E ‐ 07 4.88E ‐ 07 3.94E ‐ 06 2.25E ‐ 04 5.17E ‐ 06 3.66E ‐ 07 4.21E ‐ 06 6.48E ‐ 06 1.57E ‐ 06 2.49E ‐ 07 4.29E ‐ 06 1.45E ‐ 06 1.08E ‐ 05 1.15E ‐ 04 1.55E ‐ 04 7.35E ‐ 06Manganese MW ‐ ERT Manganese ‐ Part II Manganese MW ‐ Part II Manganese ‐ min lb/MW lb/MMBtu lb/MW lb/MMBtu 3.41E ‐ 05 1.74E ‐ 06 1.87E ‐ 06 2.10E ‐ 07 1.61E ‐ 06 1.80E ‐ 07 4.17E ‐ 05 5.17E ‐ 06 1.80E ‐ 05 1.57E ‐ 06 2.51E ‐ 05 1.45E ‐ 06 7.88E ‐ 05 7.35E ‐ 06Manganese MW ‐ min Nickel_Fuel_lb/MMBtu Nickel ‐ ERT Nickel MW ‐ ERT Nickel ‐ Part II lb/MW lb/MMBtu lb/MMBtu lb/MW lb/MMBtu 3.41E ‐ 05 9.78E ‐ 03 2.94E ‐ 06 5.76E ‐ 05 1.87E ‐ 06 2.03E ‐ 02 3.25E ‐ 06 2.90E ‐ 05 1.61E ‐ 06 2.42E ‐ 02 2.24E ‐ 07 1.99E ‐ 06 4.17E ‐ 05 1.97E ‐ 03 2.77E ‐ 05 2.23E ‐ 04 1.80E ‐ 05 2.04E ‐ 02 2.56E ‐ 06 2.94E ‐ 05 2.51E ‐ 05 8.94E ‐ 06 1.54E ‐ 04 7.88E ‐ 05 5.10E ‐ 02 1.10E ‐ 05 1.18E ‐ 04Nickel MW ‐ Part II Nickel ‐ min Nickel MW ‐ min Selenium_Fuel_lb/MMBtu Selenium ‐ ERT lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MMBtu 2.94E ‐ 06 5.76E ‐ 05 1.50E ‐ 05 2.38E ‐ 05 3.25E ‐ 06 2.90E ‐ 05 6.13E ‐ 05 7.92E ‐ 08 2.24E ‐ 07 1.99E ‐ 06 7.50E ‐ 05 3.01E ‐ 07 2.77E ‐ 05 2.23E ‐ 04 6.52E ‐ 05 1.04E ‐ 06 2.56E ‐ 06 2.94E ‐ 05 3.89E ‐ 05 9.96E ‐ 07 8.94E ‐ 06 1.54E ‐ 04 5.74E ‐ 07 1.10E ‐ 05 1.18E ‐ 04 6.65E ‐ 05 3.29E ‐ 06Selenium MW ‐ ERT Selenium ‐ Part II Selenium MW ‐ Part II Selenium ‐ min Selenium MW ‐ min lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW 4.68E ‐ 04 2.38E ‐ 05 4.68E ‐ 04 7.06E ‐ 07 7.92E ‐ 08 7.06E ‐ 07 2.68E ‐ 06 3.01E ‐ 07 2.68E ‐ 06 8.39E ‐ 06 1.04E ‐ 06 8.39E ‐ 06 1.15E ‐ 05 9.96E ‐ 07 1.15E ‐ 05 9.92E ‐ 06 5.74E ‐ 07 9.92E ‐ 06 3.52E ‐ 05 3.29E ‐ 06 3.52E ‐ 05Total_Particulate_Calc ‐ ERT Total_Particulate_Calc MW ‐ ERT Total_Particulate_Calc ‐ Part II lb/MMBtu lb/MW lb/MMBtu 3.67E ‐ 03 7.21E ‐ 02 3.77E ‐ 03 3.36E ‐ 02 4.51E ‐ 03 4.02E ‐ 02 3.72E ‐ 02 3.00E ‐ 01 1.05E ‐ 01 1.21E+00Total_Particulate_Calc MW ‐ Part II Total_Particulate_Calc ‐ min Total_Particulate_Calc MW ‐ min lb/MW lb/MMBtu lb/MW 3.67E ‐ 03 7.21E ‐ 02 3.77E ‐ 03 3.36E ‐ 02 4.51E ‐ 03 4.02E ‐ 02 3.72E ‐ 02 3.00E ‐ 01 1.05E ‐ 01 1.21E+00Filterable Particulate_Method 29 ‐ ERT Filterable Particulate_Method 29 MW ‐ ERT lb/MMBtu lb/MW

7.89E ‐ 03 9.08E ‐ 02Filterable Particulate_Method 29 ‐ ERT Filterable Particulate_Method 29 MW ‐ ERT lb/MMBtu lb/MW 1.52E ‐ 04 2.97E ‐ 03 5.07E ‐ 04 4.52E ‐ 03 6.86E ‐ 04 6.11E ‐ 03 3.21E ‐ 02 2.59E ‐ 01Filterable Particulate_Method 5 ‐ ERT Filterable Particulate_Method 5 MW ‐ ERT lb/MMBtu lb/MWFilterable Particulate_Method 5/OTM ‐ 28 ‐ ERT Filterable Particulate_Method 5/OTM ‐ 28 MW ‐ ERT lb/MMBtu lb/MW

1.03E ‐ 02 1.19E ‐ 01Filterable Particulate_OTM ‐ 27/28 ‐ ERT Filterable Particulate_OTM ‐ 27/28 MW ‐ ERT lb/MMBtu lb/MW 4.55E ‐ 05 8.94E ‐ 04 2.26E ‐ 03 2.02E ‐ 02 3.83E ‐ 02 3.09E ‐ 01 4.69E ‐ 03 5.03E ‐ 02Filterable PM2_5_OTM ‐ 27 ‐ ERT Filterable PM2_5_OTM ‐ 27 MW ‐ ERT lb/MMBtu lb/MWFilterable PM2_5_OTM ‐ 27/28 ‐ ERT Filterable PM2_5_OTM ‐ 27/28 MW ‐ ERT lb/MMBtu lb/MW 2.30E ‐ 05 4.52E ‐ 04 1.15E ‐ 03 1.02E ‐ 02 3.17E ‐ 04 2.83E ‐ 03 2.66E ‐ 04 2.14E ‐ 03 9.86E ‐ 03 1.70E ‐ 01 2.60E ‐ 04 2.79E ‐ 03PM2_5 Condensible Particulate_Method 202 ‐ ERT lb/MMBtuPM2_5 Condensible Particulate_Method 202 MW ‐ ERT lb/MWPM2_5 Condensible Particulate_Method 5/OTM ‐ 28 ‐ ERT lb/MMBtu

9.73E ‐ 02PM2_5 Condensible Particulate_Method 5/OTM ‐ 28 MW ‐ ERT lb/MW

1.12E+00PM2_5 Condensible Particulate_OTM ‐ 27/28 ‐ ERT lb/MMBtu 3.52E ‐ 03 3.26E ‐ 03 3.82E ‐ 03 5.09E ‐ 03 1.05E ‐ 02 5.37E ‐ 02PM2_5 Condensible Particulate_OTM ‐ 27/28 MW ‐ ERT lb/MW 6.91E ‐ 02 2.91E ‐ 02 3.41E ‐ 02 4.11E ‐ 02 1.81E ‐ 01 5.75E ‐ 01PM2_5 Condensible Particulate_OTM ‐ 28 ‐ ERT PM2_5 Condensible Particulate_OTM ‐ 28 MW ‐ ERT lb/MMBtu lb/MWTotal Particulate_Method 5/OTM ‐ 28 ‐ ERT Total Particulate_Method 5/OTM ‐ 28 MW ‐ ERT lb/MMBtu lb/MW

1.08E ‐ 01 1.24E+00Total Particulate_OTM ‐ 27/28 ‐ ERT Total Particulate_OTM ‐ 27/28 MW ‐ ERT lb/MMBtu lb/MW 3.56E ‐ 03 6.98E ‐ 02 5.53E ‐ 03 4.93E ‐ 02 4.34E ‐ 02 3.50E ‐ 01 5.84E ‐ 02 6.25E ‐ 01Total Particulate_OTM ‐ 28 ‐ ERT Total Particulate_OTM ‐ 28 MW ‐ ERT PM (Condensable) ‐ Part II lb/MMBtu lb/MW lb/MMBtuPM (Condensable) MW ‐ Part II PM (Filterable and Condensable) ‐ Part II lb/MW lb/MMBtuPM (Filterable and Condensable) MW ‐ Part II PM (Filterable) ‐ Part II PM (Filterable) MW ‐ Part II lb/MW lb/MMBtu lb/MW 7.50E ‐ 04 6.69E ‐ 03 5.00E ‐ 04 4.46E ‐ 03 4.98E ‐ 03 8.61E ‐ 02 3.38E ‐ 03 3.62E ‐ 02PM10 (Condensable) ‐ Part II PM10 (Condensable) MW ‐ Part II lb/MMBtu lb/MWPM10 (Filterable and Condensable) ‐ Part II PM10 (Filterable and Condensable) MW ‐ Part II lb/MMBtu lb/MWPM10 (Filterable) ‐ Part II PM10 (Filterable) MW ‐ Part II PM2_5 (Filterable) ‐ Part II lb/MMBtu lb/MW lb/MMBtu 1.10E ‐ 03 9.81E ‐ 03 8.00E ‐ 04 7.13E ‐ 03 1.33E ‐ 03 2.29E ‐ 02 4.11E ‐ 04 4.41E ‐ 03PM2_5 (Filterable) MW ‐ Part II control_group_1 control_type_1 install_date_1 lb/MW NOx control Selective Noncatalytic Reduction NOx control Selective Noncatalytic Reduction 01 ‐ Feb ‐ 02 NOx control Selective Noncatalytic Reduction 01 ‐ May ‐ 02 PM control Fabric Filter, unspecified 01 ‐ Dec ‐ 00 NOx control Selective Catalytic Reduction 01 ‐ Mar ‐ 07 PM control Fabric Filter, pulse 01 ‐ Jul ‐ 95 PM control Fabric Filter, pulse 01 ‐ Aug ‐ 91control_group_2 control_type_2 install_date_2 PM control Fabric Filter, pulse SO2 control Dry FGD ‐ Spray Dryer 01 ‐ Feb ‐ 02 SO2 control Dry FGD ‐ Spray Dryer 01 ‐ May ‐ 02 PM control Electrostatic precipitator, cold side, w/o flue gas conditioning 01 ‐ Aug ‐ 85control_group_3 control_type_3 install_date_3 control_group_4 PM control Fabric Filter, pulse 01 ‐ Feb ‐ 02 PM control Fabric Filter, pulse 01 ‐ May ‐ 02 SO2 control Wet FGD ‐ Spray Type 01 ‐ Aug ‐ 85 Other controlcontrol_type_4 install_date_4 control_group_5 control_type_5 install_date_5

Wet electrostatic precipitator 01 ‐ Aug ‐ 85control_group_6 control_type_6 install_date_6 control_group_7 control_type_7 install_date_7control_group_8 control_type_8 install_date_8 control_group_9 control_type_9 install_date_9control_group_10 control_type_10 install_date_10 control_group_11 control_type_11install_date_11 control_group_12 control_type_12 install_date_1210670 667 ORIS/Facility/Uni t AES Deepwater Northside Generating Station Runs Deepwater 2A 1 1.7877E ‐ 05 9.1812E ‐ 05 2 1.9592E ‐ 05 9.7047E ‐ 05 3 1.8752E ‐ 05 8.3972E ‐ 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 = 5 n =Total # test runs = 15

N 

###   1 N i i 

### n

 

#  N14 This step is for QC only: means 1.87E-05 9.09E-05

1.03E-03 Mean = Pooled Variance = 3.3392E-06

m= number future runs = 3 Term1 0.4000 Term2 1.3357E-06
Squared root Term2 0.001155717 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confi

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 UPL POOLED VARIANCE = 0.00406 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2
, 

### 1 1 df p 

### Xt s n m        , df p 

### Xt s n m      667 10373 4125 Northside Generating Station Hanford Manitowoc 1A 1A B-09 1.3650E ‐ 04 6.0000E ‐ 04 6.1834E ‐ 03 8.6419E ‐ 04 6.0000E ‐ 04 4.4700E ‐ 03 1.3085E ‐ 04 5.0000E ‐ 04 1.6297E ‐ 03

333 Emissions (lb/MMBtu)3.77E-04 5.67E-04 4.09E-03

dence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        10670 ORIS/Facility/Uni t AES Deepwater Runs Deepwater 1 1.7877E ‐ 05 2 1.9592E ‐ 05 3 1.8752E ‐ 05 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2 This step is for QC only: means 1.87E-05

1.87E-05 Mean = Pooled Variance = 7.3563E-13

m= number future runs = 3 Term1 0.6667 Term2 4.9042E-13
Squared root Term2 7.00301E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.964556734 UPL POOLED VARIANCE = 2.36177E-05 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2
, 

### 1 1 df p 

### Xt s n m        , df p 

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

## 1 1 df p 

## Xt s n m        667 667 ORIS/Facility/Unit Northside Generating Station Northside Generating Station Runs 2A 1A 1 3.4767E ‐ 02 2.9248E ‐ 02 2 3.3816E ‐ 02 3.6706E ‐ 02 3 3.2296E ‐ 02 5.4603E ‐ 02 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 5 n =Total # test runs = 15 1 N i i 

### n

 

#  N14 This step is for QC only: means 3.36E-02 4.02E-02

3.31E-01 Mean = Pooled Variance = 5.9833E-01

m= number future runs = 3 Term1 0.4000 Term2 2.3933E-01
Squared root Term2 0.489217395 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, s o

t-statistic = quantile tdistribution with df degrees of freedom at .99 confidence level = 2.62 UPL POOLED VARIANCE = 1.615 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

# 

1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2
, 

### 1 1 df p 

### Xt s n m        , df p 

### Xt s n m      4125 2878 10670 Manitowoc Bay Shore AES Deepwater B ‐ 09 Unit 1 Deepwater 4.1138E ‐ 02 1.6169E ‐ 01 3.0858E+00 1.1806E ‐ 01 4.4342E ‐ 01 3.5931E ‐ 01 5.6982E ‐ 02 2.9455E ‐ 01 1.8697E ‐ 01

333 Emissions (lb/MW)7.21E-02 3.00E-01 1.21E+00

o if 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01 )UPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        Northside Generating Station ORIS/Facility/Unit 667 Runs 1A 1 2.0904E ‐ 06 2 2.0530E ‐ 06 3 6.7679E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3 1 N i i 

### n

 

#  N2 This step is for QC only: means 1.61E-06

1.61E-06 Mean = Pooled Variance = 6.4896E-13

m= number future runs = 3 Term1 0.6667 Term2 4.3264E-13
Squared root Term2 6.57752E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m       

1 

## 1 i n i ik k i 

## x x n  

##  

# 

1 1  UPL POOLED VARIANCE = 6.1877E-06 2
, 

### 1 1 df p 

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

## 1 1 df p 

## Xt s n m        , df p 

## n m    Northside Generating Station AES Deepwater ORIS/Facility/Unit 667 10670 Runs 1A Deepwater 1 3.1955E ‐ 07 3.0524E ‐ 06 2 1.9615E ‐ 07 2.8951E ‐ 06 3 1.5534E ‐ 07 1.7291E ‐ 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 = 5 n =Total # test runs = 15 1 N i i 

### n

 

#  N14 This step is for QC only: means 2.24E-07 2.56E-06

3.58E-06 Mean = Pooled Variance = 1.0271E-11

m= number future runs = 3 Term1 0.4000 Term2 4.1084E-12
Squared root Term2 2.02691E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

#  1 i i 

### n

 

# UPL POOLED VARIANCE = 8.9021E-06 2
, 

### 1 1 df p 

### Xt s n m        Manitowoc Northside Generating

Station Yellowstone Energy LP 4125 667 50931 B ‐ 09 2A Config1 3.2545E ‐ 06 5.1516E ‐ 06 8.0475E ‐ 06 2.6119E ‐ 06 1.3670E ‐ 07 8.4339E ‐ 06 2.9388E ‐ 06 4.4727E ‐ 06 1.0341E ‐ 05

333 Emissions (lb/MMBtu)2.94E-06 3.25E-06 8.94E-06

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled 2 

## 1 1 df p 

## X t s        Variance= 2
, df p 

## X t s n m        Northside Generating Station ORIS/Facility/Unit 667 Runs 1A 1 3.1955E ‐ 07 2 1.9615E ‐ 07 3 1.5534E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3 1 N i i 

### n

 

#  N2 This step is for QC only: means 2.24E-07

2.24E-07 Mean = Pooled Variance = 7.3096E-15

m= number future runs = 3 Term1 0.6667 Term2 4.8731E-15
Squared root Term2 6.98075E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

1 1  UPL POOLED VARIANCE = 7.0986E-07 2
, 

### 1 1 df p 

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

## 1 1 df p 

## Xt s n m        , df p 

## n m    Northside Generating Station Northside Generating Station ORIS/Facility/Unit 667 667 Runs 1A 2A 1 2.8492E ‐ 06 4.5932E ‐ 05 2 1.7489E ‐ 06 1.2188E ‐ 06 3 1.3851E ‐ 06 3.9879E ‐ 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 = 5 n =Total # test runs = 15 1 N i i 

### n

 

#  N14 This step is for QC only: means 1.99E-06 2.90E-05

3.73E-05 Mean = Pooled Variance = 9.9325E-10

m= number future runs = 3 Term1 0.4000 Term2 3.9730E-10
Squared root Term2 1.99324E-05 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 UPL POOLED VARIANCE = 8.9585E-05 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2 

### 1 1 df p 

### Xt s        2
, 

### 1 1 df p 

### Xt s n m        AES Deepwater Manitowoc Hanford 10670 4125 10373 Deepwater B ‐ 09 1A 3.5115E ‐ 05 6.3889E ‐ 05 9.0656E ‐ 05 3.3304E ‐ 05 5.1274E ‐ 05 9.9000E ‐ 05 1.9892E-05 5.7691E-05 1.5248E ‐ 05

333 Emissions (lb/MW)2.94E-05 5.76E-05 6.83E-05

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        Northside Generating Station ORIS/Facility/Unit 667 Runs 1A 1 2.8492E ‐ 06 2 1.7489E ‐ 06 3 1.3851E ‐ 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 i i 

### n

 

#  N2 This step is for QC only: means 1.99E-06

1.99E-06 Mean = Pooled Variance = 5.8110E-13

m= number future runs = 3 Term1 0.6667 Term2 3.8740E-13
Squared root Term2 6.22413E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

1 1  UPL POOLED VARIANCE = 6.3292E-06 2
, 

### 1 1 df p 

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

## 1 1 df p 

## Xt s n m        , df p 

## n m    Northside Generating Station Northside Generating Station ORIS/Facility/Unit 667 667 Runs 2A 1A 1 7.6810E ‐ 08 5.0364E ‐ 07 2 7.9432E ‐ 08 2.1832E ‐ 07 3 8.1357E ‐ 08 1.8006E ‐ 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 = 5 n =Total # test runs = 15 1 N i i 

### n

 

#  N14 This step is for QC only: means 7.92E-08 3.01E-07

5.98E-07 Mean = Pooled Variance = 1.7125E-13

m= number future runs = 3 Term1 0.4000 Term2 6.8501E-14
Squared root Term2 2.61728E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m       

1 

## 1 i n i ik k i 

## x x n  

##  

# 

1 1  UPL POOLED VARIANCE = 1.2850E-06 2
, 

### 1 1 df p 

### Xt s n m        Yellowstone Energy LP AES Deepwater Bay Shore 50931 10670 2878 Config1 Deepwater Unit 1 6.4427E ‐ 07 1.2131E ‐ 06 1.0147E ‐ 06 5.1771E ‐ 07 6.5726E ‐ 07 1.1313E ‐ 06 5.6147E ‐ 07 1.1191E ‐ 06 9.7348E ‐ 07

333 Emissions (lb/MMBtu)5.74E-07 9.96E-07 1.04E-06

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        , df p 

## n m    Northside Generating Station ORIS/Facility/Unit 667 Runs 2A 1 7.6810E ‐ 08 2 7.9432E ‐ 08 3 8.1357E ‐ 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 0 Total Number of sources = 1 n =Total # test runs = 3 1 N i i 

### n

 

#  N2 This step is for QC only: means 7.92E-08

7.92E-08 Mean = Pooled Variance = 5.2092E-18

m= number future runs = 3 Term1 0.6667 Term2 3.4728E-18
Squared root Term2 1.86354E-09 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

1 1  UPL POOLED VARIANCE = 9.2178E-08 2
, 

### 1 1 df p 

### Xt s n m        0000000 Emissions (lb/MMBtu)0 00 0 000

UPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        , df p 

## n m    Northside Generating Station Northside Generating Station ORIS/Facility/Unit 667 667 Runs 2A 1A 1 6.8485E ‐ 07 4.4905E ‐ 06 2 7.0823E ‐ 07 1.9466E ‐ 06 3 7.2539E ‐ 07 1.6054E ‐ 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 = 5 n =Total # test runs = 15 1 N i i 

## n

 

#  N14 This step is for QC only: means 7.06E-07 2.68E-06

6.63E-06 Mean = Pooled Variance = 2.1115E-11

m= number future runs = 3 Term1 0.4000 Term2 8.4459E-12
Squared root Term2 2.90618E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 UPL POOLED VARIANCE = 1.4259E-05 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m       

1 

## 1 i n i ik k i 

## x x n  

##  

# 

2 

### 1 1 df p 

### Xt s        2
, 

### 1 1 df p 

### Xt s n m        Bay Shore Yellowstone Energy LP AES Deepwater 2878 50931 10670 Unit 1 Config1 Deepwater 8.1850E ‐ 06 1.1124E ‐ 05 1.3955E ‐ 05 9.1251E ‐ 06 8.9391E ‐ 06 7.5610E ‐ 06 7.8523E ‐ 06 9.6947E ‐ 06 1.2874E ‐ 05

333 Emissions (lb/MW)8.39E-06 9.92E-06 1.15E-05

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        Northside Generating Station ORIS/Facility/Unit 667 Runs 2A 1 6.8485E ‐ 07 2 7.0823E ‐ 07 3 7.2539E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3 1 N i i 

### n

 

#  N2 This step is for QC only: means 7.06E-07

7.06E-07 Mean = Pooled Variance = 4.1412E-16

m= number future runs = 3 Term1 0.6667 Term2 2.7608E-16
Squared root Term2 1.66156E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.964556734 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

1 1  UPL POOLED VARIANCE = 8.21873E-07 2
, 

### 1 1 df p 

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

## 1 1 df p 

## Xt s n m        , df p 

## n m    4125 667 ORIS/Facility/Unit Manitowoc Northside Generating Station Runs B ‐ 09 2A 1 2.0956E ‐ 03 3.8994E ‐ 03 2 6.0140E ‐ 03 3.7926E ‐ 03 3 2.9027E ‐ 03 3.6222E ‐ 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 = 5 n =Total # test runs = 15 1 N i i 

### n

 

#  N14 This step is for QC only: means 3.67E-03 3.77E-03

3.09E-02 Mean = Pooled Variance = 4.5577E-03

m= number future runs = 3 Term1 0.4000 Term2 1.8231E-03
Squared root Term2 0.042697521 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

#  1 i i 

### n

 

# UPL POOLED VARIANCE = 0.1429 2
, 

### 1 1 df p 

### Xt s n m        667 2878 10670 Northside Generating Station Bay Shore AES Deepwater 1A Unit 1 Deepwater 3.2803E ‐ 03 2.0045E ‐ 02 2.6824E ‐ 01 4.1168E ‐ 03 5.4972E ‐ 02 3.1234E ‐ 02 6.1240E ‐ 03 3.6516E ‐ 02 1.6253E ‐ 02

333 Emissions (lb/MMBtu)4.51E-03 3.72E-02 1.05E-01

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled 2 

## 1 1 df p 

## X t s        Variance= 2
, df p 

## X t s n m        4125 ORIS/Facility/Unit Manitowoc Runs B ‐ 09 1 2.0956E ‐ 03 2 6.0140E ‐ 03 3 2.9027E ‐ 03 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3 1 N i i 

### n

 

#  N2 This step is for QC only: means 3.67E-03

3.67E-03 Mean = Pooled Variance = 4.2810E-06

m= number future runs = 3 Term1 0.6667 Term2 2.8540E-06
Squared root Term2 0.001689385 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 UPL POOLED VARIANCE = 0.0154 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2 

### 1 1 df p 

### Xt s        2
, 

### 1 1 df p 

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

## 1 1 df p 

## Xt s n m        Northside Generating Station Northside Generating Station ORIS/Facility/Unit 667 667 Runs 1A 2A 1 2.0904E ‐ 06 1.6086E ‐ 06 2 2.0530E ‐ 06 2.0917E ‐ 06 3 6.7679E ‐ 07 1.9062E ‐ 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 = 5 n =Total # test runs = 15 1 N i i 

### n

 

#  N14 This step is for QC only: means 1.61E-06 1.87E-06

1.62E-05 Mean = Pooled Variance = 2.0346E-10

m= number future runs = 3 Term1 0.4000 Term2 8.1386E-11
Squared root Term2 9.02141E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 UPL POOLED VARIANCE = 3.9828E-05 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

# 

1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2
, 

### 1 1 df p 

### Xt s n m        , df p 

### Xt s n m      AES Deepwater Yellowstone Energy LP Manitowoc 10670 50931 4125 Deepwater Config1 B ‐ 09 2.4331E ‐ 05 3.2766E ‐ 05 4.1419E ‐ 05 1.3817E ‐ 05 1.8171E ‐ 05 3.8559E ‐ 05 1.5958E ‐ 05 2.4395E ‐ 05 2.2431E ‐ 05

333 Emissions (lb/MW)1.80E-05 2.51E-05 3.41E-05

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01 )UPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        AES Deepwater ORIS/Facility/Unit 10670 Runs Deepwater 1 7.4760E ‐ 07 2 4.5006E ‐ 07 3 7.15205E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3 1 N i i 

### n

 

#  N2 This step is for QC only: means 6.38E-07

6.38E-07 Mean = Pooled Variance = 2.6647E-14

m= number future runs = 3 Term1 0.6667 Term2 1.7765E-14
Squared root Term2 1.33285E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 UPL POOLED VARIANCE = 1.5659E-06 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2 

### 1 1 df p 

### Xt s        2
, 

### 1 1 df p 

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

## 1 1 df p 

## Xt s n m        Yellowstone Energy LP AES Deepwater ORIS/Facility/Unit 50931 10670 Runs Config1 Deepwater 1 3.4908E ‐ 07 5.2384E ‐ 07 2 1.4684E ‐ 07 2.3669E ‐ 07 3 2.5011E ‐ 07 3.3806E ‐ 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 = 5 n =Total # test runs = 15 1 N i i 

### n

 

#  N14 This step is for QC only: means 2.49E-07 3.66E-07

2.49E-06 Mean = Pooled Variance = 2.3022E-11

m= number future runs = 3 Term1 0.4000 Term2 9.2087E-12
Squared root Term2 3.03458E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

#  1 i i 

### n

 

# UPL POOLED VARIANCE = 1.0454E-05 2
, 

### 1 1 df p 

### Xt s n m        Bay Shore Manitowoc Northside Generating

Station 2878 4125 667 Unit 1 B ‐ 09 2A 7.1700E ‐ 07 6.3425E ‐ 07 1.0700E ‐ 05 3.8062E ‐ 07 6.1170E ‐ 07 4.7659E ‐ 06 3.6660E ‐ 07 7.3154E ‐ 07 1.6593E ‐ 05

333 Emissions (lb/MMBtu)4.88E-07 6.59E-07 1.07E-05

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled 2 

## 1 1 df p 

## X t s        Variance= 2
, df p 

## X t s n m        Yellowstone Energy LP ORIS/Facility/Unit 50931 Runs Config1 1 3.4908E ‐ 07 2 1.4684E ‐ 07 3 2.5011E ‐ 07 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3 1 N i i 

### n

 

#  N2 This step is for QC only: means 2.49E-07

2.49E-07 Mean = Pooled Variance = 1.0226E-14

m= number future runs = 3 Term1 0.6667 Term2 6.8175E-15
Squared root Term2 8.25684E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

# 

1 1 

## 1 i n N ij i j 

## X x n   

##  

#  

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

1 1  UPL POOLED VARIANCE = 8.2373E-07 2
, 

### 1 1 df p 

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

## 1 1 df p 

## Xt s n m        , df p 

## n m    Bay Shore AES Deepwater ORIS/Facility/Unit 2878 10670 Runs Unit 1 Deepwater 1 5.7835E ‐ 06 6.0261E ‐ 06 2 3.0702E ‐ 06 2.7229E ‐ 06 3 2.9570E ‐ 06 3.8889E ‐ 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 = 5 n =Total # test runs = 15 1 N i i 

### n

 

#  N14 This step is for QC only: means 3.94E-06 4.21E-06

7.31E-06 Mean = Pooled Variance = 1.9668E-11

m= number future runs = 3 Term1 0.4000 Term2 7.8673E-12
Squared root Term2 2.80488E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

#  1 i i 

### n

 

# UPL POOLED VARIANCE = 1.4667E-05 2
, 

### 1 1 df p 

### Xt s n m        Yellowstone Energy LP Northside Generating

Station Manitowoc 50931 667 4125 Config1 2A B ‐ 09 6.0274E ‐ 06 1.1144E ‐ 05 1.2451E ‐ 05 2.5355E ‐ 06 7.5388E ‐ 06 1.2008E ‐ 05 4.3185E ‐ 06 1.4750E ‐ 05 1.4361E ‐ 05

333 Emissions (lb/MW)4.29E-06 1.11E-05 1.29E-05

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled 2
, 

## 1 1 d f p 

## Xt s n m        Variance= 2
, df p 

## X t s n m        Bay Shore ORIS/Facility/Unit 2878 Runs Unit 1 1 5.7835E ‐ 06 DLL 2 3.0702E ‐ 06 DLL 3 2.9570E ‐ 06 ADL 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3 1 N i i 

### n

 

#  N2 This step is for QC only: means 3.94E-06

3.94E-06 Mean = Pooled Variance = 2.5606E-12

m= number future runs = 3 Term1 0.6667 Term2 1.7070E-12
Squared root Term2 1.30654E-06 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

# 

1 1 

## 1 i n N ij i j 

## X x n   

##  

#  

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# UPL POOLED VARIANCE = 1.3036E-05 2
, 

### 1 1 df p 

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

# 1 1 df p 

# Xt s n m        , df p 

# n m    Northside Generating Station Northside Generating Station ORIS/Facility/Unit 667 667 Runs 1A 2A 1 2.3445E ‐ 07 1.8041E ‐ 07 2 2.3026E ‐ 07 2.3460E ‐ 07 3 7.5906E ‐ 08 2.1380E ‐ 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 = 5 n =Total # test runs = 15 1 N i i 

### n

 

#  N14 This step is for QC only: means 1.80E-07 2.10E-07

1.03E-06 Mean = Pooled Variance = 6.0637E-13

m= number future runs = 3 Term1 0.4000 Term2 2.4255E-13
Squared root Term2 4.92491E-07 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

# 

1 1 

## 1 i n N ij i j 

## X x n   

##  

#  

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

1 1  UPL POOLED VARIANCE = 2.3227E-06 2
, 

### 1 1 df p 

### Xt s n m        Yellowstone Energy LP AES Deepwater Manitowoc 50931 10670 4125 Config1 Deepwater B ‐ 09 1.8977E ‐ 06 2.1150E ‐ 06 2.1099E ‐ 06 1.0524E ‐ 06 1.2011E ‐ 06 1.9642E ‐ 06 1.4129E ‐ 06 1.3872E ‐ 06 1.1426E ‐ 06

333 Emissions (lb/MMBtu)1.45E-06 1.57E-06 1.74E-06

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)Northside Generating Station ORIS/Facility/Unit 667 Runs 1A 1 2.3445E ‐ 07 2 2.3026E ‐ 07 3 7.5906E ‐ 08 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3 1 N i i 

### n

 

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

1.80E-07 Mean = Pooled Variance = 8.1632E-15

m= number future runs = 3 Term1 0.6667 Term2 5.4422E-15
Squared root Term2 7.3771E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m       

1 

## 1 i n i ik k i 

## x x n  

##  

# 

1 1  UPL POOLED VARIANCE = 6.9399E-07 2
, 

### 1 1 df p 

### Xt s n m        Emissions (lb/MMBtu)9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)AES Deepwater Northside Generating Station ORIS/Facility/Unit 10670 667 Runs Deepwater 2A 1 7.4760E ‐ 07 1.5927E ‐ 06 2 4.5006E ‐ 07 1.6470E ‐ 06 3 7.15205E ‐ 07 1.68694E ‐ 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 3 3 ni = number test runs = 5 Total Number of sources = 15 n =Total # test runs = 1 N i i 

### n

 

#  N14
This step is for QC only: 6.38E-07 1.64E-06 means

4.31E-06 Mean = 1.3497E-11 Pooled Variance =

3 m= number future runs = 0.4000 Term1 5.3986E-12 Term2

2.3235E-06 Squared root Term2 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so i f = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.62 t-statistic 1.0409E-05 UPL POOLED VARIANCE = 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2 

### 1 1 Xt s      2
, 

### 1 1 df p 

### Xt s n m        Northside Generating Station Manitowoc Bay Shore 667 4125 2878 1A B ‐ 09 Unit 1 1.5739E ‐ 06 5.2528E ‐ 06 7.7957E ‐ 06 1.5208E ‐ 06 6.3282E ‐ 06 1.1811E ‐ 05 7.43257E ‐ 06 8.6206E ‐ 06 7.4899E ‐ 06

333 Emissions (lb/MW)3.51E-06 6.73E-06 9.03E-06

f 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01 )UPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        Yellowstone Energy LP AES Deepwater ORIS/Facility/Unit 50931 10670 Runs Config1 Deepwater 1 4.0834E ‐ 08 8.7800E ‐ 08 2 3.2945E ‐ 08 9.1500E ‐ 08 3 4.0999E ‐ 08 1.5200E ‐ 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 = 5 n =Total # test runs = 30 1 N i i 

### n

 

#  N29 This step is for QC only: means 3.83E-08 6.48E-08

8.31E-08 Mean = Pooled Variance = 3.2177E-15

m= number future runs = 3 Term1 0.3667 Term2 1.1798E-15
Squared root Term2 3.43488E-08 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.46 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

#  

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

#  1 i i 

### n

 

# 

1 1  UPL POOLED VARIANCE = 1.6766E-07 2
, 

### 1 1 df p 

### Xt s n m        Northside Generating Station Northside Generating

Station Bay Shore 667 667 2878 2A 1A Unit 1 7.6700E ‐ 08 1.3000E ‐ 07 1.7700E ‐ 07 7.6100E ‐ 08 1.7400E ‐ 07 9.1800E ‐ 08 8.6600E ‐ 08 1.9800E ‐ 07 9.8900E ‐ 08 2.0200E ‐ 07 1.4600E ‐ 07 7.9500E ‐ 08 1.0800E ‐ 07 6.6400E ‐ 08 4.8900E ‐ 08 2.8200E ‐ 08 1.8600E ‐ 08 2.4100E ‐ 08 2.5900E ‐ 08 2.2600E ‐ 08 1.1100E ‐ 08 3.9000E ‐ 08 1.0600E ‐ 07 1.4800E ‐ 07

3 18 3 Emissions (lb/MMBtu)7.98E-08 8.76E-08 1.23E-07

9 % confidence is desired then alpha=0.01 and 2*alpha=2*(0.01 )UPL Pooled 2
, 

## 1 1 df p 

## Xt s n m        Variance= 2
, df p 

## X t s n m        Yellowstone Energy LP ORIS/Facility/Unit 50931 Runs Config1 1 4.0834E ‐ 08 2 3.2945E ‐ 08 3 4.0999E ‐ 08 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3 1 N i i 

### n

 

#  N2 This step is for QC only: means 3.83E-08

3.8259E-08 Mean = Pooled Variance = 2.1188E-17

m= number future runs = 3 Term1 0.6667 Term2 1.4125E-17
Squared root Term2 3.7583E-09 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 UPL POOLED VARIANCE = 6.4434E-08 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

#  

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2
, 

### 1 1 df p 

### Xt s n m        , df p 

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

## 1 1 df p 

## Xt s n m        primary_fuel ORIS code Plant Name physical_state Unit Number petroleum coke 10373 Hanford CA 1A petroleum coke 667 Northside Generating Station FL 1A petroleum coke 667 Northside Generating Station FL 2A petroleum coke 4125 Manitowoc WI B ‐ 09 petroleum coke 2878 Bay Shore OH Unit 1 petroleum coke 50931 Yellowstone Energy LP MT Config1 petroleum coke 10670 AES Deepwater TX DeepwaterUnit Type Boiler_type Boiler_count Total_Capacity_MWe Total_max_heat_input MW MMBtu/hr Fluidized bed firing Fluidized bed firing 1 27 290 Fluidized bed firing Fluidized bed firing 1 310 2764 Fluidized bed firing Fluidized bed firing 1 310 2764 Fluidized bed firing Fluidized bed firing 1 63 1244 Fluidized bed firing Fluidized bed firing 1 151 1218 Fluidized bed firing Fluidized bed firing 2 60 1036 Conventional Boiler Arch firing 1 158 1818Unit_heat_rate Fuel types Mmbtu/MWh 10.72 petroleum coke

8.92 petroleum coke, bituminous 8.92 petroleum coke, bituminous 19.63 petroleum coke, subbituminous, other ‐‐ wood charcoal/paper pellets

8.07 petroleum coke 17.27 petroleum coke, other fossil fuel (specify), oil ‐ distillate 11.50 petroleum cokeFuel_Cl_lb/MMBtu Fuel_F_lb/MMBtu Chlorine ‐ ERT Chlorine MW ‐ ERT Chlorine ‐ ETTS lb/MMBtu lb/MMBtu lb/MMBtu lb/MW lb/MMBtu 1.76E ‐ 02 1.34E ‐ 03 1.11E ‐ 02 1.74E ‐ 03 1.22E ‐ 02 1.60E ‐ 01 1.43E ‐ 03 3.98E ‐ 03 8.95E ‐ 04 2.38E ‐ 04 4.88E ‐ 04 1.95E ‐ 04Chlorine MW ‐ ETTS Chlorine ‐ Part II Chlorine MW ‐ Part II Chlorine ‐ min Chlorine MW ‐ min lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW

7.82E ‐ 02 3.98E ‐ 03 7.82E ‐ 02HCN ‐ ERT HCN MW ‐ ERT HCN ‐ ETTS HCN MW ‐ ETTS HCN ‐ Part II HCN MW ‐ Part II HCN ‐ min lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu lb/MW lb/MMBtu 4.83E ‐ 03 5.18E ‐ 02 4.83E ‐ 03 1.60E ‐ 03 1.43E ‐ 02 1.60E ‐ 03 6.07E ‐ 04 5.41E ‐ 03 6.07E ‐ 04 2.07E ‐ 05 4.06E ‐ 04 2.07E ‐ 05 2.42E ‐ 03 1.95E ‐ 02 2.42E ‐ 03 8.13E ‐ 05 9.36E ‐ 04 8.13E ‐ 05HCN MW ‐ min Hydrogen Chloride ‐ ERT Hydrogen Chloride MW ‐ ERT Hydrogen Chloride ‐ ETTS lb/MW lb/MMBtu lb/MW lb/MMBtu 5.18E ‐ 02 5.67E ‐ 04 1.43E ‐ 02 3.77E ‐ 04 3.36E ‐ 03 5.41E ‐ 03 9.09E ‐ 05 8.11E ‐ 04 4.06E ‐ 04 4.09E ‐ 03 8.04E ‐ 02 1.95E ‐ 02 6.69E ‐ 03 9.36E ‐ 04 1.87E ‐ 05 2.16E ‐ 04Hydrogen Chloride MW ‐ ETTS Hydrogen Chloride ‐ Part II Hydrogen Chloride MW ‐ Part II lb/MW lb/MMBtu lb/MW 6.07E ‐ 03
5.39E ‐ 02Hydrogen Chloride ‐ min Hydrogen Chloride MW ‐ min Hydrogen Fluoride ‐ ERT lb/MMBtu lb/MW lb/MMBtu 5.67E ‐ 04 6.07E ‐ 03 3.77E ‐ 04 3.36E ‐ 03 7.95E ‐ 05 9.09E ‐ 05 8.11E ‐ 04 5.52E ‐ 05 4.09E ‐ 03 8.04E ‐ 02 1.54E ‐ 04 6.69E ‐ 03 5.39E ‐ 02 1.87E ‐ 05 2.16E ‐ 04 4.95E ‐ 05Hydrogen Fluoride MW ‐ ERT Hydrogen Fluoride ‐ ETTS Hydrogen Fluoride MW ‐ ETTS lb/MW lb/MMBtu lb/MW 1.17E ‐ 03 1.25E ‐ 02 7.09E ‐ 04 4.92E ‐ 04 3.03E ‐ 03 1.47E ‐ 04 1.19E ‐ 03 5.70E ‐ 04Hydrogen Fluoride ‐ Part II Hydrogen Fluoride MW ‐ Part II Hydrogen Fluoride ‐ min lb/MMBtu lb/MW lb/MMBtu 1.17E ‐ 03 7.95E ‐ 05 5.52E ‐ 05 1.54E ‐ 04 1.47E ‐ 04 4.95E ‐ 05Hydrogen Fluoride MW ‐ min Sulfur Dioxide ‐ CEMS Sulfur Dioxide MW ‐ CEMS Sulfur Dioxide ‐ ERT lb/MW lb/MMBtu lb/MW lb/MMBtu 1.25E ‐ 02 5.89E ‐ 02 6.32E ‐ 01 7.09E ‐ 04 1.52E ‐ 01 1.36E+00 1.51E ‐ 01 4.92E ‐ 04 1.72E ‐ 01 1.54E+00 1.71E ‐ 01 3.03E ‐ 03 2.72E ‐ 01 1.19E ‐ 03 3.77E ‐ 01 5.70E ‐ 04 6.05E ‐ 01 6.96E+00Sulfur Dioxide MW ‐ ERT Sulfur Dioxide ‐ ETTS Sulfur Dioxide MW ‐ ETTS Sulfur Dioxide ‐ Part II lb/MW lb/MMBtu lb/MW lb/MMBtu 5.76E ‐ 02 6.18E ‐ 01 2.30E ‐ 02 1.35E+00 1.53E+00 5.35E+00 3.04E+00 3.92E ‐ 01Sulfur Dioxide MW ‐ Part II Sulfur Dioxide ‐ min Sulfur Dioxide MW ‐ min control_group_1 lb/MW lb/MMBtu lb/MW 2.46E ‐ 01 2.30E ‐ 02 2.46E ‐ 01 PM control 1.51E ‐ 01 1.35E+00 NOx control 1.71E ‐ 01 1.53E+00 NOx control 2.72E ‐ 01 5.35E+00 NOx control 3.77E ‐ 01 3.04E+00 PM control 6.77E+00 3.92E ‐ 01 6.77E+00 PM control 6.05E ‐ 01 6.96E+00 NOx controlcontrol_type_1 install_date_1 control_group_2 Fabric Filter, pulse 01 ‐ Aug ‐ 91 Selective Noncatalytic Reduction 01 ‐ May ‐ 02 SO2 control Selective Noncatalytic Reduction 01 ‐ Feb ‐ 02 SO2 control Selective Noncatalytic Reduction PM control Fabric Filter, unspecified 01 ‐ Dec ‐ 00 Fabric Filter, pulse 01 ‐ Jul ‐ 95 Selective Catalytic Reduction 01 ‐ Mar ‐ 07 PM controlcontrol_type_2 install_date_2 control_group_3 Dry FGD ‐ Spray Dryer 01 ‐ May ‐ 02 PM control Dry FGD ‐ Spray Dryer 01 ‐ Feb ‐ 02 PM control Fabric Filter, pulse Electrostatic precipitator, cold side, w/o flue gas conditioning 01 ‐ Aug ‐ 85 SO2 controlcontrol_type_3 install_date_3 control_group_4 control_type_4 install_date_4 Fabric Filter, pulse 01 ‐ May ‐ 02 Fabric Filter, pulse 01 ‐ Feb ‐ 02

Wet FGD ‐ Spray Type 01 ‐ Aug ‐ 85 Other control Wet electrostatic precipitator 01 ‐ Aug ‐ 85control_group_5 control_type_5 install_date_5 control_group_6 control_type_6 install_date_6control_group_7 control_type_7 install_date_7 control_group_8 control_type_8 install_date_8control_group_9 control_type_9 install_date_9 control_group_10 control_type_10 install_date_10control_group_11 control_type_11 install_date_11 control_group_12 control_type_12install_date_12Hanford Northside Generating Station ORIS/Facility/Uni t 10373 667 Runs 1A 1A 1 2.2647E ‐ 02 1.4171E ‐ 01 2 2.1230E ‐ 02 1.5112E ‐ 01 3 2.4990E ‐ 02 1.6148E ‐ 01 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 3 Total Number of sources = 5 n =Total # test runs = 18

N 

###   1 N i i 

### n

 

#  N17 This step is for QC only: means 2.30E-02 1.51E-01

2.11E-01 Mean = Pooled Variance = 1.3693E-02

m= number future runs = 3 Term1 0.3889 Term2 5.3252E-03
Squared root Term2 0.072974117 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confi

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.566933975 UPL POOLED VARIANCE = 0.3986 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2 

### 1 1 Xt s      2
, 

### 1 1 df p 

### Xt s n m        Northside Generating Station Manitowoc Bay Shore 667 4125 2878 2A B-09 Unit 1 1.6347E ‐ 01 2.8848E ‐ 01 3.7572E ‐ 01 1.7796E ‐ 01 2.7586E ‐ 01 4.2774E ‐ 01 1.7246E ‐ 01 2.6949E ‐ 01 3.2820E ‐ 01 2.7009E ‐ 01 2.5652E ‐ 01 2.7413E ‐ 01

363 Emissions (lb/MMBtu)1.71E-01 2.72E-01 3.77E-01

Distribution of Normal Tests Distribution of Log Tests Skewness = 1.49E-01 #DIV/0! SE Skewness 0.63 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -6.96E-01 #DIV/0! SE Kurtosis 1.26 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 15 0 REsult:

dence is desired then alpha=0.01 and 2*alpha=2*(0.01)normalUPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        Hanford ORIS/Facility/Uni t 10373 Runs 1A 1 2.2647E ‐ 02 2 2.1230E ‐ 02 3 2.4990E ‐ 02 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2 This step is for QC only: means 2.30E-02

2.30E-02 Mean = Pooled Variance = 3.6065E-06

m= number future runs = 3 Term1 0.6667 Term2 2.4043E-06
Squared root Term2 0.001550591 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 UPL POOLED VARIANCE = 0.0338 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2
, 

### 1 1 df p 

### Xt s n m        , df p 

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

## 1 1 df p 

## Xt s n m        Hanford Northside Generating Station ORIS/Facility/Uni t 10373 667 Runs 1A 1A 1 2.4270E ‐ 01 1.2973E+00 2 2.2752E ‐ 01 1.3835E+00 3 2.6782E ‐ 01 1.4784E+00 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 = 5 n =Total # test runs = 18 1 N i i 

### n

 

#  N17 This step is for QC only: means 2.46E-01 1.39E+00

2.30E+00 Mean = Pooled Variance = 1.9837E+00

m= number future runs = 3 Term1 0.3889 Term2 7.7142E-01
Squared root Term2 0.878305868 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so i f

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 2.57 

#   2 2 1 

## 1 1 n i i 

## s xX n  

##  

 

# 

1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# UPL POOLED VARIANCE = 4.55 2
, 

### 1 1 df p 

### Xt s n m        Northside Generating Station Manitowoc Bay Shore 667 4125 2878 2A B-09 Unit 1 1.4816E+00 3.3415E+00 4.2626E+00 1.6129E+00 3.1954E+00 4.8528E+00 1.5630E+00 3.1216E+00 3.7235E+00 3.1285E+00 2.9714E+00 3.1753E+00

363 Emissions (lb/MW)1.55E+00 3.16E+00 4.28E+00

Distribution of Normal Tests Distribution of Log Tests Skewness = 3.76E-01 #DIV/0! SE Skewness 0.63 #DIV/0! Skewness Test normal #DIV/0! Kurtosis = -1.04E+00 #DIV/0! SE Kurtosis 1.26 #DIV/0! Kurtosis Test normal #DIV/0! Number of test runs = 15 0 REsult: normal

f 99% confidence is desired then alpha=0.01 and 2*alpha=2*(0.01)UPL Pooled Variance= 2
, 

## 1 1 df p 

## Xt s n m        , df p 

## n m    Hanford ORIS/Facility/Uni t 10373 Runs 1A 1 2.4270E ‐ 01 2 2.2752E ‐ 01 3 2.6782E ‐ 01 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ni = number test runs = 3 Total Number of sources = 1 n =Total # test runs = 3

N 

###   1 N i i 

### n

 

#  N2 This step is for QC only: means 2.46E-01

2.46E-01 Mean = Pooled Variance = 4.1422E-04

m= number future runs = 3 Term1 0.6667 Term2 2.7614E-04
Squared root Term2 0.016617565 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 9 9

t-statistic = quantile t-distribution with df degrees of freedom at .99 confidence level = 6.96 UPL POOLED VARIANCE = 0.362 

#   2 2 1 

## 1 1 n i i 

## s x X n  

##  

 

#  1 1 

## 1 i n N ij i j 

## X x n   

##  

# 

1 1 n m 

2 

### 1 1 s n m        1 

### 1 N i i 

### df n

 

###        



# 

d f 

### t 2 

### 1 1 s n m        1 

## 1 i n i ik k i 

## x x n  

##  

# 

2
, 

### 1 1 df p 

### Xt s n m        , df p 

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

## 1 1 df p 

## Xt s n m        