# Emission Factor Supporting Documentation for the Final Mercury and Air Toxics Standards

## EPA

- 454/R

- 11

- 012 November 2011

Emission Factor Supporting Documentation for the Final Mercury and Air Toxics Standards

Introduction and compilation By: Marc Houyoux Emission Inventory and Analysis Group Air Quality Assessment Division With technical contributions by: Barrett Par ker and Ron Myers Measurement Policy Group Sector Policies and Programs Division And additional contributions by: David Bullock and Shelly Johnson Research Triangle Institute Research Triangle Park, North Carolina

Contractor contributions prepared for:

Alison Eyth Work Assignment Contracting Officer Representative

Air Quality Assessment Division

Contract No. EP

- D

- 11

- 084 Work Order No. 0

- 04

U.S. Environmental Protection Agency Office of Air Quality Planning and Standards Air Quality Assessment Divis ion Emissions Inventory and Analysis Group Research Triangle Park, North Carolina

## 1



## I. Background The U.S. Environmental Protection Agency (EPA) is finalizing the National Emission Standards for Hazardous Air Pollutants from Coal

- and Oil

- Fired Electric Utility Steam Generating Units (EGUs) under Clean Air Act (CAA or the Act) section 112(d), referred to in this document as the Me rcury and Air Toxics Standards ( MATS ) . A key piece to several aspects of the technical documentation includes Hazardous Air Pollutant (HAP) emission inventory estimates for U.S. EGUs at the facility , unit, and nationa l resolutions.
This memorandum addres ses the development of HAP emission factors used to create the emissions estimates for (a) the non

- mercury case study units and (b) the current base nationwide emissions inventory. Addi tional information on the non

- me rcury case study emissions is available in the revised “Non

- Hg Case Study Chronic Inhalation Risk Assessment”. Additional information on the current base nationwide emissions inventory is available in “Memorandum: Emissions Overview: Hazardous Air Polluta nts in Support of the Final Mercury and Air Toxics Standard”.
For both the non

- mercury case studies and the current base nationwide emissions invent ory, stack test data were used wherever available. These stack tests were usually performed in groups of three per stack, which were averaged to create a unit

- specific emission factor (EF), and it is these EFs that were used create emissions for the tested units . In addition, EF s and emissions were needed for units that did not have stack testing submitted to EPA. This document describes the approaches taken to analyze, group, and eliminate outliers from the test data , and finally to compute average EFs for mercury (Hg), acid ga ses, and non

- Hg metals.
The EFs for Hg , acid gases, and metals used to develop the national inventory are available in the Excel ® 

## spreadsheet “MATS_Final_Current_Base_HAP_inven.xlsx”, called the “inventory spreadsheet” in the remainder of this document. T he EFs for the non

- Hg cases studies are available in the spreadsheet “Case_Study_Emis_MATS_Final.xlsx”, called the “case study spreadsheet” here.
II. Emissions bins
Emissions bins are groups of units with test

- based EFs that are used to create one average EF per bin

. Different criteria can be used to bin the test data into such groups. The bins used for this work are available in the emission inventory spreadsheet ( listed in Section I) , in the tab “3

- Bin_Key” . The tables shown in the spreadsheet are replic ated in Section V below , which includes the emission factors assigned to each bin . T he bins for Hg, hydrogen chloride (HCl) , hydrogen fluoride (HF), and hydrogen cyanide (HCN) were based on the combination of fuel type, boiler type, and emission control s cheme

. These bins are the same as the bins used for the emission modification factors used by the Integrated Planning Model ( IPM ) 1


## , used to estimate future

- year emissions. These same bins
wer e als o used for development of Hg speciation factors 2 

## . The bin s for metals were developed using procedures to group data based on their statistically significant differences only, and these efforts are

1 

### IPM is a multi

- regional, dynamic, deterministic linear program model of the U.S. power sector that determines the least cost solution to meeting a set of environmental constraints while still meeting specified electric demand. For more detail on IPM see: http://www.epa.gov/airmarkets/progsregs/epa

- ipm/index.html 2 

### See “EGU Mercury Speciation Pro files for the Clean Air Mercury Rule (CAMR)”

## 2



## described in Attachment A . In the inventory spreadsheet tab “3

- Bin_Key”, metal EFs are repeated for many of the rows, indicating that the bin resolution is coarser for these pollutants. For example, rather than 22 different bins for arsenic, there are 5 bins as observed by the 5 different EF values listed in the arsenic column

. III. Outlier Methodology
EPA used a statis tical approach to identify outliers to be excluded from the dataset in order to develop the best emission factor for each bin

. The following sections describe the outlier identification process and the outlier identification results.
1. Outlier identificatio n : After adjustments based on method detection levels , data were checked for outliers. The outlier identification methodology is consistent with Recommended Procedures for Development of Emissions Factors and Use of the WebFIRE Emissions Factor Database , December 17, 2010. F or each control scheme bin, the outliers are identified by Dixon tests and Rosner tests. The identification process is conceptually described in Figure 1 below. The detailed process is described in paragraphs 2 through 5, below. The process steps were implemented using the software ProUCL 4.1 ® 

## and R statistical language.
2. Determine the distributions : Within each control scheme bin, R programs (scripted in statistical language R) and ProUCL 4.1 normality tests were used to determine wh ether the distribution was normal or log

- normal. Detailed process steps are listed below.

a. Shapiro

- Wilk tests (R program): Normality tests could not be run in ProUCL when the sample size was smaller than 4. In this case, R programs were used to determine th e normality or log

- normality by applying Shapiro

- Wilk normality tests. When a bin was of neither distribution, it was treated as a log

- normally distribution in the remaining steps

. b. Shapiro

- Wilk tests (ProUCL): When there were more than 4 samples, Shapiro

- W ilk tests (95% confidence level) were conducted to determine the normality or log

- normality of the data set. When neither distribution was determined by Shapiro

- Wilk tests, the p

- value for log

- normality check was recorded.

c. Lilliefors tests (ProUCL): If ste p “b” did not determine the distribution, Lilliefors tests (95% confidence level) were conducted to determine the log

- normality of the data set.
d. Lognormal QQ plot review (ProUCL): If Lilliefors test still did not determine the log

normal distribution, logn ormal QQ plot is reviewed to determine the log

- normality fitting.
3. Data transformation : Depending on the distribution, the data may or may not need to be transformed. If the distribution was normal, the emission factors were used as
- is . If the distribution was not normal, then the data were log transformed.
4. Outlier Tests (using ProUCL) : The two methods to determine outliers were part of the ProUCL software. If the data set had between 3 and 24 values, the Dixon outlier test was used. If the data set had mor e than 24 values, then the Rosner outlier test was used.
5. Outliers identified : The ProUCL output provided lists of outliers at 1, 5 and 10% confidence levels. All outliers identified at the 5% confidence level were identified as outliers for our data

## 3



## sets. Once the outliers were identified, they were removed from the analysis, and the process was
re
- run for the remaining values in the data sets. The details of distributions and outliers determined for each bin are presented in Tables 1 through 4.

Figure 1. Outlier identification process. IV. Outlier Identification Results for Mercury and Acid Gases
The two subsections below document the outlier results for Hg and the acid gases. The outlier results for the metals were documented in a different way and are therefore included as attachments to this document , and includes the approaches used for antimony, a rsenic, b eryllium, c admium, c obalt, chromium, l ead, m ang anese, n ickel, and s elenium . Attachment A contains the materials prepared to document the metal emissions for coal emissions. The data for metal emission factors for oil emissions are available in the spreadsheet “ 93eguoilmet 07oct2011.xlsx”.
IV.A Mercury
The Hg emission factors were developed based on data provided from the PART III ICR collection. Data from all units providing under P art III were included in the analysis . The emission factors were analyzed for outliers based on the unit’s bin. On ce the outliers were identified, they were removed from the respective bin and the arithmetic mean of the factors was calculated. Table 1 presents the results for the outlier analysis for Hg

.

## 4



## Table 1. Hg distributions and outliers.

Control scheme N Distribution *** 

### Lognormally distributed ? (SW test at 95% confidence) 

### Normally

distributed? (SW test at 95% confidence) 

### Lognormally

distributed? (Lilliefors test at 95% confidence) 

### Lognormally

distributed? (QQ Lognormal plot) 

### P ** 

### Outlier Checks 50 6 Log

- Normal Y N 51 25 Log

- Normal Y N 52 9 Log

- Normal Y N

53 9 Neither N N Y Y 2E

- 02 For 5% significance level,

- 14.24526836 is an outlier. 54 42 Log

- Normal Y N 55 30 Log

- Normal Y N 56 3 Normal 57 6 Log

- Normal Y N

58 4 Normal

- - For 5% significance level, 2.34E

- 08 is an outlier. 59 2 N <3: NA 60 4 Log

- Normal

- - 61 13 Log

- Normal Y N 62 2 N <3: NA 63 2 N <3: NA

64 3 Neither

- - For 5% significance level,

- 11.887 is an outlier. 65 25 Log

- Normal Y N 66 10 Normal N Y

67 3 Normal

- - Fo r 5% significance level, 3.173 E

- 06 is an outlier. 68 14 Neither N N N N 3E

- 03

69 5 Normal N Y For 5% significance level, 1.44E

- 06 is an outlier. 70 20 Normal Y Y 71 1 N <3: NA 72 2 N <3: NA

73 6 Log

- Normal Y N For 5% significance level,

- 15.05438322 is an outlier. 74 10 Normal N Y 75 48 Log

- Normal Y N 76 1 N <3: NA 77 3 Normal

- - 78 6 Log

- Normal Y Y * SW test= Shapiro

- Wilk test. ** p

- value of the Shapiro

- Wilk test on lognormality is recorded, if a bin with more than 4 values is of neither distributions (Lognormal nor normal). *** If it is “neither” distribution, the bin is assumed to be lognormal distributed to identify the outliers.

## 5



## IV.B Acid Gases The acid gases emission factors were developed by RTI. based on data provided from the PART III ICR collection and all of these data were included in the analysis

. The emission factors were analyzed according to the process described in Section III. Table s 2 through 4 present the results for acid gases.
Table 2. HF distributions and outliers.

Control scheme N Distribution *** 

### Lognormally distributed? (SW test at 95% confidence) 

### Normally

distributed? (SW test at 95% confidence) 

### Lognormally

distributed? ( Lilliefors test at 95% confidence) 

### Lognormally

distributed? (QQ Lognormal plot) 

### P ** 

### Outlier Checks

1 96 Neither N N N N 0E+00 For 5% significance level, there are 8 Potential Outliers:

- 2.565,

- 2.597,

- 2.685,

- 2.685,

- 2.881,

- 2.881,

- 3.919,

- 4.807

2 45 Log

- Normal N N N Y 4E

- 04 For 5% Significance Level, there is 1 Potential Outlier; Therefore, Observation

- 5.084 is a Potential Statistical Outlier

4 29 Log

- Normal N N N Y 6E

- 05 For 5% significance level, there are 4 Potential Outliers:

- 8.686,

- 8.632,

- 3.137,

- 6.859

5 13 Neither N N N N 4E

- 07 For 5% significance level,

- 2.961 is an outlier. 6 4 Normal

-

7 4 Log

- Normal

- For 5% significance level,

- 2.961 is an outlier. 8 13 Log

- Normal N N Y Y 2E

- 02 9 1 N <3: NA 10 1 N <3: NA 11 2 N <3: NA 12 2 N <3: NA 13 15 Log

- Normal N N Y Y 1E

- 02 14 16 Normal N Y 15 10 Log

- Normal Y N 16 15 Log

- Normal Y N 17 1 N <3: NA 18 1 N <3: NA 19 6 Normal N Y

20 58 Log

- Normal N N N Y For 5% significance level, there are 4 Potential Outliers:

- 11.46,

- 6.085,

- 11.11,

- 6.52 21 1 N <3: NA 22 2 N <3: NA

23 3 Neither

- - For 5 % significance level,

- 6.754 is an outlier. * SW test= Shapiro

- Wilk test. ** P

- value of the Shapiro

- Wilk test on lognormality is recorded, if a bin with more than 4 values is of neither distributions (Lognormal nor normal). *** If it is “neither” distribution, the bin is assumed to be lognormal distributed to identify the outliers.

## 6 

## Table 3. HCN distributions and outliers.

Control scheme N Distribution *** 

### Lognormally distributed? (SW test at 95% confidence) 

### Normally

distributed? (SW test at 95% confidence) 

### Lognormally

distributed? ( Lilliefors test at 95% confidence) 

### Lognormally

distributed? (QQ Lognormal plot) 

### P ** 

### Outlier Checks 1 89 Log

- Normal Y N

2 40 Log

- Normal Y N 4 27 Log

- Normal Y N 5 8 Normal N Y 6 4 Normal

- - 7 4 Log

- Normal

- - 8 10 Log

- Normal N N Y Y 4E

- 02 For 5% significance level,

- 12.05535643 is an outlier. 9 1 N <3: NA 10 1 N <3: NA 11 2 N <3: NA 12 2 N <3: NA 13 14 Log

- Normal N N Y Y 1E

- 03 For 5% significance level,

- 3.50449819 is an outlier. 14 13 Log

- Normal Y N 15 9 Normal Y Y 16 13 Log

- Normal N 17 1 N <3: NA 18 1 N <3: NA 19 6 Log

- Normal N N Y N NA 20 57 Log

- Normal Y N 21 1 N <3: NA 22 2 N <3: NA 23 4 Log

- Normal

- - * SW test= Shapiro

- Wilk test. ** P

- value of the Shapiro

- Wilk test on lognormality is recorded, if a bin with more than 4 values is of neither distributions (Lognormal nor normal). *** If it is “neither” distribution, the bin is assumed to be lognormal distributed to identify the outliers

.

## 7 

## Table 4. HCl distributions and outliers.

Control scheme N Distribution *** 

### Lognormally distributed? (SW test at 95% confidence) 

### Normally

distributed? (SW test at 95% confidence) 

### Lognormally

distributed? ( Lilliefors test at 95% confidence) 

### Lognormally

distributed? (QQ Lognormal plot) 

### P ** 

### Outlier Checks



## 1 96 Log

- Normal N N N N 0E+00 

### For 5% significance level, there are 8 Potential Outliers; Therefore, Potential Statistical Outliers are

- 2.28,

- 2.28,

- 4.334,

- 4.375,

- 4.375,

- 4.401,

- 4.462,

- 4.494 

## 2 43 Log

- Normal N N N Y 3E

- 04 

## 4 29 Log

- Normal N N Y Y 2E

- 03 

## 5 13 Normal N N N N 8E

- 04 

## 6 4 Normal

- 

## 7 4 Log

- Normal

- 

## 8 13 Log

- Normal N N N N 2E

- 03 

## 9 1 N <3: NA 

## 10 1 N <3: NA 

## 11 2 N <3: NA 

## 12 2 N <3: NA 

## 13 15 Log

- Normal N N N Y 2E

- 02



## 14 16 Log

- Normal N N N Y 3E

- 02 

### For 1% significance level,

- 5.09126489 is an outlier. For 5% significance level, 0.004646is an outlier. 

## 15 10 Normal Y N 

## 16 14 Log

- Normal Y N Y 

## 17 1 N <3: NA 

## 18 1 N <3: NA 

## 19 6 Log

- Normal N N N N N/A



## 20 59 Log

- Normal Y N Y Y 5E

- 02 

### For 5% significance level, there are 2 Potential Outliers; Therefore, Potential Statistical Outliers are

- 11.49,

- 3.693 

## 21 1 N <3: NA 

## 22 2 N <3: NA 

## 23 3 Log

- Normal

- - * SW test= Shapiro

- Wilk test. ** P

- value of the Shapiro

- Wilk test on lognormality is recorded, if a bin with more than 4 values is of neither distributions (Lognormal nor normal). *** If it is “neither” distribution, the bin is assumed to be lognormal distributed to identify the outliers.

## 8



## V. Development of emission factors Once the outliers were excluded from the datasets for each pollutant, emission factors were computed using an arithmetic averag e for each bin. The use of arithmetic average is based on EPA guidance in AP

- 42. Based on past analysis as well as analysis done for this effort 3 

## , the arithmetic mean for emissions factors provides the single best value for predicting national emissions estimates. Further, when no other method is available for a single unit, this emission factors are the best available information for estimating emissions from such units. Tables 6 through 8 provide the average emission factors for Hg , acid gases, and non
- Hg metals, respectively. These data are also available in spreadsheet form in the worksheet “3

- Bin_Key” in the inventory spreadsheet described in Section I. Furthermore, the unit level data used to compute the emission factors for Hg are available in the worksheet “ 8

- Mercury_EFs” of the inventory spreadsheet and for acid gases in the worksheet “ 8

- Acid_Gas_EFs”. Also in the inventory spreadsheet, the worksheets “8

- As_EFs”, “8

- Cr_EFs” and “8

- Ni_EFs” include the data for arsenic, chromium, and nickel em ission factors. All data available for the other metal emission factors calculation are available only in Attachment A , which includes additional information for arsenic, chromium, and nickel that is unavailable in the spreadsheet alone. T he emission fac tors used in the non

- Hg case studies for the units that did not have test data are available in the spreadsheet

“ Case_Study_Emis_MATS_Final.xlsx ” . This spreadsheet includes the calculation of hexavalent chromium from total chromium , which was done only for the non

- Hg case study emissions

.

3 

### Response to comments for the Mercury and Air Toxics Standard final rule, non

- Hg case studies for the appropriate and necessary finding.

## 9



## Table 6
. Average emission factors for Hg Bin Number Fuel Type Boiler Type Control Scheme Hg (lb/MMBtu) 50 Bituminous Conventional Activated Carbon Injection 1.94E

- 06 51 Bituminous Conventional Dry FGD + Fabric Filter 1.14E

- 07 52 Bituminous Conventional Fabric Filter + Wet FGD 8.03E

- 07 53 Bituminous Conventional Fabric Filter 4.37E

- 08 54 Bituminous Conventional ESP + Wet FGD 1.25E

- 06 55 Bituminous Conventional Cold

- side ESP 5.64E

- 06 56 Bituminous Conventional No Hg Control (includes hot

- side ESP ’ s) 1.10E

- 05 57 Bituminous Fluidized Bed Dry FGD + Fabric Filter 5.80E

- 08 58 Bituminous Fluidized Bed Fabric Filter 1.15E

- 08 59 Bituminous Fluidized Bed Cold

- side ESP 1.73E

- 06 60 Coal Refuse Fluidized Bed Dry FGD + Fabric Filter 3.78E

- 07 61 Coal Refuse Fluidized Bed Fabric Filter 1.63E

- 07 62 Lignite Conventional Activated Carbon Injection 3.90E

- 06 63 Li gnite Fluidized Bed Activated Carbon Injection 4.67E

- 06 64 Li gnite Fluidized Bed Fabric Filter 1.08E

- 05 65 Subbituminous Conventional Activated Carbon Injection 1.30E

- 06 66 Subbituminous Conventional Dry FGD + Fabric Filter 4.69E

- 06 67 Subbituminous Conventional Fabric Filter + Wet FGD 1.47E

- 07 68 Subbituminous Conventional Fabric Filter 3.03E

- 06 69 Subbituminous Conventional Wet FGD 3.32E

- 06 70 Subbituminous Conventional Cold

- side ESP 3.28E

- 06 71 Subbituminous Conventional No Hg Control (includes hot

- side ESP ’ s) 5.25E

- 06 72 IGCC IGCC No Hg Control 8.18E

- 07 73 No. 2 Fuel Oil Conventional No Hg Control 1.14E

- 07 74 No. 6 Fuel Oil Conventional Cold

- Side ESP 6.23E

- 08 75 No. 6 Fuel Oil Conventional No Hg Control (includes hot

- side ESP ’ s) 1.12E

- 07 76 Petroleum Coke Conventional Wet FGD 6.48E

- 08 77 Petroleum Coke Fluidized Bed Dry FGD + Fabric Filter 5.96E

- 08 78 Petroleum Coke Fluidized Bed Fabric Filter 9.63E

- 07

## 10



## Table 7. Average emission factors for acid gases

Bin Number Fuel Type Boiler Type Control Scheme Hydrogen Cyanide (lb/MMBtu) Hydrogen

Chloride (lb/MMBtu) Hydrogen

Fluoride (lb/MMBtu) 1 Bituminous Conventional Wet FGD 2.31E

- 04 5.83E

- 04 1.80E

- 04 2 Bituminous Conventional Dry FGD 3.45E

- 04 6.48E

- 03 1.09E

- 04 3 Bituminous Conventional Sorbent/Carbon Injection No emission data were available * 

### 4 Bituminous Conventional No Acid Gas Control 4.79E

- 04 5.95E

- 02 6.19E

- 03 5 Bituminous Fluidized Bed Dry FGD 1.03E

- 03 2.76E

- 02 6.50E

- 05 6 Bituminous Fluidized Bed No Acid Gas Control 2.06E

- 03 1.03E

- 02 7.38E

- 05 7 Coal Refuse Fluidized Bed Dry FGD 4.26E

- 04 3.53E

- 02 3.10E

- 04 8 Coal Refuse Fluidized Bed No Acid Gas Control 6.00E

- 04 1.07E

- 02 1.10E

- 03 9 Lignite Conventional Wet FGD 1.59E

- 05 1.20E

- 04 9.35E

- 05 10 Lignite Conventional Sorbent/Carbon Injection 2.01E

- 05 7.49E

- 04 2.63E

- 03 11 Lignite Fluidized Bed Dry FGD 2.14E

- 05 6.13E

- 05 6.96E

- 05 12 Lignite Fluidized Bed No Acid Gas Control 1.31E

- 05 3.67E

- 04 8.80E

- 06 13 Subbituminous Conventional Wet FGD 1.02E

- 04 2.16E

- 03 3.05E

- 03 14 Subbituminous Conventional Dry FGD 1.86E

- 04 1.92E

- 04 2.73E

- 04 15 Subbituminous Conventional Sorbent/Carbon Injection 1.13E

- 04 8.85E

- 04 1.02E

- 03 16 Subbituminous Conventional No Acid Gas Control 1.52E

- 03 3.20E

- 03 1.01E

- 03 17 IGCC IGCC PM Scrubber 5.19E

- 05 8.12E

- 05 8.32E

- 05 18 IGCC IGCC No Acid Gas Control 3.21E

- 05 2.84E

- 04 1.71E

- 04 19 No. 2 Fuel Oil Conventional No Acid Gas Control 2.21E

- 05 3.69E

- 04 1.10E

- 04 20 No. 6 Fuel Oil Conventional No Acid Gas Control 3.29E

- 04 9.07E

- 04 2.02E

- 04 21 Petroleum Coke Conventional Wet FGD 8.13E

- 05 1.87E

- 05 4.95E

- 05 22 Petroleum Coke Fluidized Bed Dry FGD 1.10E

- 03 2.34E

- 04 6.74E

- 05 23 Petroleum Coke Fluidized Bed No Acid Gas Control 2.42E

- 03 3.78E

- 03 1.51E

- 04 * Sources with this configuration were d efault ed to the next most conservative (higher) emission factor set, which is bin 4.

## 11



## Table 8. Average emission factors for metals Bin No. Fuel Type Boiler Type Control Scheme Antimony lb/MMBtu Arsenic

lb/MMBtu Beryllium

l b/MMBtu Cadmium

lb/MMBtu Chromium

lb/MMBtu Cobalt

lb/MMBtu Lead

lb/MMBtu Manganese

lb/MMBtu Nickel

lb/MMBtu Selenium

lb/MMBtu 100 Bituminous Conventional Fabric Filter + Wet FGD 4.22E

- 07 9.72E

- 07 1.18E

- 07 2.20E

- 07 4.75E

- 06 5.10E

- 07 2.25E

- 06 1.01E

- 05 2.74E

- 05 9.24E

- 06
101 Bituminous Conventional Fabric Filter 4.22E

- 07 9.72E

- 07 1.18E

- 07 2.20E

- 07 4.89E

- 05 1.58E

- 06 2.25E

- 06 1.01E

- 05 2.74E

- 05 3.69E

- 05 102 Bituminous Conventional ESP + Wet FGD 4.22E

- 07 2.52E

- 06 1.18E

- 07 2.20E

- 07 4.75E

- 06 5.10E

- 07 2.25E

- 06 1.01E

- 05 2.74E

- 05 9.24E

- 06 103 Bituminous Conventional ESP 1.45E

- 06 1.25E

- 05 4.16E

- 07 3.81E

- 07 4.89E

- 05 1.58E

- 06 6.61E

- 06 1.01E

- 05 2.74E

- 05 3.69E

- 05 104 Bituminous Fluidized Bed Fabric Filter 4.22E

- 07 9.72E

- 07 1.18E

- 07 2.20E

- 07 4.89E

- 05 1.58E

- 06 2.25E

- 06 1.01E

- 05 2.74E

- 05 3.69E

- 05 105 Bituminous Fluidized Bed ESP 1.45E

- 06 1.25E

- 05 4.16E

- 07 3.81E

- 07 4.89E

- 05 1.58E

- 06 6.61E

- 06 1.01E

- 05 2.74E

- 05 3.69E

- 05 106 Coal Refuse Fluidized Bed Fabric Filter 4.22E

- 07 9.72E

- 07 1.18E

- 07 2.20E

- 07 4.89E

- 05 1.58E

- 06 2.25E

- 06 1.01E

- 05 2.74E

- 05 3.69E

- 05 107 Lignite Conventional Fabric Filter + Wet FGD 4.22E

- 07 9.72E

- 07 1.18E

- 07 2.20E

- 07 4.75E

- 06 5.10E

- 07 2.25E

- 06 1.01E

- 05 2.74E

- 05 9.24E

- 06
108 Lignite Conventional Fabric Filter 4.22E

- 07 9.72E

- 07 1.18E

- 07 2.20E

- 07 4.89E

- 05 1.58E

- 06 2.25E

- 06 1.01E

- 05 2.74E

- 05 3.69E

- 05 109 Lignite Fluidized Bed Fabric Filter 4.22E

- 07 9.72E

- 07 1.18E

- 07 2.20E

- 07 4.89E

- 05 1.58E

- 06 2.25E

- 06 1.01E

- 05 2.74E

- 05 3.69E

- 05 110 Subbituminous Conventional Fabric Filter + Wet FGD 4.22E

- 07 9.72E

- 07 1.18E

- 07 2.20E

- 07 4.75E

- 06 5.10E

- 07 2.25E

- 06 1.01E

- 05 2.74E

- 05 9.24E

- 06
111 Subbituminous Conventional Fabric Filter 4.22E

- 07 9.72E

- 07 1.18E

- 07 2.20E

- 07 4.89E

- 05 1.58E

- 06 2.25E

- 06 1.01E

- 05 2.74E

- 05 3.69E

- 05 112 Subbituminous Conventional ESP + Wet FGD 4.22E

- 07 2.52E

- 06 1.18E

- 07 2.20E

- 07 4.75E

- 06 5.10E

- 07 2.25E

- 06 1.01E

- 05 2.74E

- 05 9.24E

- 06 113 Subbituminous Conventional ESP 1.45E

- 06 1.25E

- 05 4.16E

- 07 3.81E

- 07 4.89E

- 05 1.58E

- 06 6.61E

- 06 1.01E

- 05 2.74E

- 05 3.69E

- 05 114 Subbituminous Conventional Wet FGD/PM Scrubber 4.22E

- 07 2.52E

- 06 1.18E

- 07 2.20E

- 07 4.75E

- 06 5.10E

- 07 2.25E

- 06 1.01E

- 05 2.74E

- 05 9.24E

- 06
115 IGCC IGCC PM Scrubber 4.22E

- 07 9.72E

- 07 1.18E

- 07 2.20E

- 07 4.75E

- 06 5.10E

- 07 2.25E

- 06 1.01E

- 05 2.74E

- 05 3.69E

- 05 116 IGCC IGCC No PM Control 4.22E

- 07 9.72E

- 07 1.18E

- 07 2.20E

- 07 4.75E

- 06 5.10E

- 07 2.25E

- 06 1.01E

- 05 2.74E

- 05 3.69E

- 05 117 No. 2 Fuel Oil Conventional No PM Control 3.30E

- 05 2.55E

- 06 1.62E

- 07 3.62E

- 07 5.70E

- 06 1.71E

- 05 1.30E

- 05 9.42E

- 06 3.46E

- 04 2.02E

- 06 118 No. 6 Fuel Oil Conventional ESP 3.30E

- 05 2.55E

- 06 1.62E

- 07 3.62E

- 07 5.70E

- 06 1.71E

- 05 1.30E

- 05 9.42E

- 06 3.46E

- 04 2.02E

- 06 119 No. 6 Fuel Oil Conventional No PM Control (includes multiclones) 3.30E

- 05 2.55E

- 06 1. 62E

- 07 3.62E

- 07 5.70E

- 06 1.71E

- 05 1.30E

- 05 9.42E

- 06 3.46E

- 04 2.02E

- 06

120 Petroleum coke Conventional ESP + Wet FGD + Wet ESP 1.59E

- 06 4.81E

- 05 1.17E

- 07 4.86E

- 07 2.76E

- 06 1.00E

- 06 3.83E

- 06 4.66E

- 06 1.59E

- 05 1.54E

- 06
121 Petroleum c oke Fluidized Bed Fabric Filter 1.59E

- 06 4.81E

- 05 1.17E

- 07 4.86E

- 07 2.76E

- 06 1.00E

- 06 3.83E

- 06 4.66E

- 06 1.59E

- 05 1.54E

- 06

## ATTACHMENT A
Documentation and calculations for metal emission factors Compiled from original PDF documentation developed by OAQPS/SPPD/MPG and labeled: Coal_Fired_Utility_Boiler_Antimony.pdf Coal_Fired_Utility_Boiler_Arsenic.pdf Coal_Fired_Utility_Boiler_Beryllium.pdf Coal_Fired_Utility_Boiler_Cadmium.pdf Coal_Fired_Utility_Boiler_Chromium.pdf Coal_Fired_Utility_Boiler_Cobalt.p df Coal_Fired_Utility_Boiler_Lead.pdf Coal_Fired_Utility_Boiler_Manganese.pdf Coal_Fired_Utility_Boiler_Nickel.pdf Coal_Fired_Utility_Boiler_Selenium.pdf

# Coal Fired Utility Boiler Antimony Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information Collection Request (ICR) were evaluated for the development of national emissions factors. The procedures employed are as described in the draft Emissions Factors Procedures Document. The data used for the development of the Antimony Emissions Factor are presented on the following page with two sets of columns. The left set of columns presents SCC, Submital ID, emissions factors, the natural log of the emissions factor and the control measure employed. The right set of columns contains the same information but excluding the boilers with ESP control. The site specific emissions factors presented are as determined using the f factor method rather than the emissions factor determined by dividing the hourly emissions by the coal feed and associated proximate analysis. Subsequent pages provide the assessments as performed using EPA’s statistical software ProUCL. The assessments provide support for the development of a separate national emissions factors for ESP, and for combining data for Fabric Filter, Dry Scrubbing and Wet Scrubbing controls. Separate emissions factors were developed since there is a statistical difference between ESP and Fabric Filter controls. A combined factor for Fabric Filter, Dry Scrubbing controls and Wet Scrubbing controls are supported by analyses that show that there is no significant difference in the average emissions factors for these categories.
The resulting calculated arsenic emissions factors are: Emissions Factor lb/mmBtu Number of Supporting Tests Quality Indicator ESP controls 1.45 x 10 ‐ 6 

## 44 Highly Representative Fabric Filter, Dry Scrubbing & Wet Scrubbing controls 4.22 x 10 ‐ 7 

## 91 Highly Representative

# Antimony EF Development Data

SCC submittal ID lb / mmBtuO2 Ln Sb #/mmBtu Controls SCC submittal ID lb / mmBtuO2 Ln Sb #/mmBtu Controls 10100202 1972 9.79E-09



## ‐ 18.441904 Wet 10100202 1972 9.79E-09



## ‐ 18.4419 Wet 10100202 1488 1.62E

‐ 08

‐ 17.938255 Dry 10100202 1488 1.62E

‐ 08

‐ 17.93825 Dry 10100202 1190 3.04E-08



## ‐ 17.308823 FF 10100202 1190 3.04E-08



## ‐ 17.30882 FF 10100222 1726 3.75E-08



## ‐ 17.098925 Dry 10100222 1726 3.75E-08



## ‐ 17.09892 Dry 10100212 1648 4.04E-08



## ‐ 17.024436 Wet 10100212 1648 4.04E-08



## ‐ 17.02444 Wet 10300222 1276 4.14E

‐ 08

‐ 16.999985 Wet 10300222 1276 4.14E

‐ 08

‐ 16.99998 Wet 10100202 1189 4.33E-08



## ‐ 16.955113 FF 10100202 1189 4.33E-08



## ‐ 16.95511 FF 10100202 550002 4.57E-08



## ‐ 16.901262 Dry 10100202 550002 4.57E-08



## ‐ 16.90126 Dry 10100223 23151 4.63E-08



## ‐ 16.888124 Wet 10100223 23151 4.63E-08



## ‐ 16.88812 Wet 10100212 1647 4.67E-08



## ‐ 16.879522 Wet 10100212 1647 4.67E-08



## ‐ 16.87952 Wet 10100202 1909 4.96E

‐ 08

‐ 16.819275 Dry 10100202 1909 4.96E

‐ 08

‐ 16.81928 Dry 10100202 947 4.98E

‐ 08

‐ 16.815251 Dry 10100202 947 4.98E

‐ 08

‐ 16.81525 Dry 10100202 1611 5.03E-08



## ‐ 16.805261 Dry 10100202 1611 5.03E-08



## ‐ 16.80526 Dry 10100222 845 5.44E

‐ 08

‐ 16.726902 FF 10100222 845 5.44E

‐ 08

‐ 16.7269 FF 10100211 900 6.19E

‐ 08

‐ 16.597746 Wet 10100211 900 6.19E

‐ 08

‐ 16.59775 Wet 10100202 1738 6.90E

‐ 08

‐ 16.489159 Wet 10100202 1738 6.90E

‐ 08

‐ 16.48916 Wet 10100202 560 7.07E-08



## ‐ 16.46482 Dry 10100202 560 7.07E-08



## ‐ 16.46482 Dry 10100223 23152 7.15E-08



## ‐ 16.453568 Wet 10100223 23152 7.15E-08



## ‐ 16.45357 Wet 10100202 1597 9.18E-08



## ‐ 16.203654 FF 10100202 1597 9.18E-08



## ‐ 16.20365 FF 10100205 13461 9.38E

‐ 08

‐ 16.182101 Dry 10100205 13461 9.38E

‐ 08

‐ 16.1821 Dry 10100202 1942 9.42E

‐ 08

‐ 16.177846 Dry 10100202 1942 9.42E

‐ 08

‐ 16.17785 Dry 10100223 23153 1.08E-07



## ‐ 16.041135 Wet 10100223 23153 1.08E-07



## ‐ 16.04113 Wet 10100223 2315 1.09E-07



## ‐ 16.031918 Wet 10100223 2315 1.09E-07



## ‐ 16.03192 Wet 10100202 1129 1.14E

‐ 07

‐ 15.985689 Dry 10100202 1129 1.14E

‐ 07

‐ 15.98569 Dry 10100212 565 1.21E-07



## ‐ 15.927475 Dry 10100212 565 1.21E-07



## ‐ 15.92748 Dry 10100202 1606 1.24E-07



## ‐ 15.902984 FF 10100202 1606 1.24E-07



## ‐ 15.90298 FF 10100222 10040004 1.29E

‐ 07

‐ 15.863453 ESP 10100205 1349 1.32E

‐ 07

‐ 15.84046 Dry 10100226 2278 1.31E-07



## ‐ 15.848069 ESP 10100202 2021 1.41E

‐ 07

‐ 15.77451 Dry 10100205 1349 1.32E

‐ 07

‐ 15.840464 Dry 10100202 2055 1.50E-07



## ‐ 15.71263 Wet 10100222 2274 1.36E-07



## ‐ 15.810611 ESP 10100202 

## 1118 1.56E-07



## ‐ 15.67341 Wet 10100202 2021 1.41E

‐ 07

‐ 15.774506 Dry 10100202 1743 1.63E

‐ 07

‐ 15.62952 Wet 10100223 2302 1.47E

‐ 07

‐ 15.732833 ESP 10100201 2319 1.65E

‐ 07

‐ 15.61732 Wet 10100202 2055 1.50E-07



## ‐ 15.712631 Wet 10100202 1249 1.65E

‐ 07

‐ 15.61732 Dry 10100202 2161 1.50E-07



## ‐ 15.712631 ESP 10100202 1133 1.88E

‐ 07

‐ 15.48824 Dry 10100202 1902 1.51E-07



## ‐ 15.705986 ESP 10100202 1119 1.90E

‐ 07

‐ 15.47624 Wet 10100202 

## 1118 1.56E-07



## ‐ 15.67341 Wet 10100222 1568 1.94E

‐ 07

‐ 15.45541 Dry 10100202 1154 1.60E-07



## ‐ 15.648092 ESP 10100203 1052 1.97E

‐ 07

‐ 15.44006 Dry 10100202 1743 1.63E

‐ 07

‐ 15.629516 Wet 10100224 1120 2.02E-07



## ‐ 15.415 Wet 10100201 2319 1.65E

‐ 07

‐ 15.61732 Wet 10100202 1638 2.07E

‐ 07

‐ 15.39055 Wet 10100202 1249 1.65E

‐ 07

‐ 15.61732 Dry 10100226 1938 2.21E

‐ 07

‐ 15.3251 Dry 10100202 1133 1.88E

‐ 07

‐ 15.488237 Dry 10100202 1637 2.23E

‐ 07

‐ 15.31609 Wet 10100202 1119 1.90E

‐ 07

‐ 15.476242 Wet 10100221 2170 2.35E

‐ 07

‐ 15.26168 FF 10100222 1568 1.94E

‐ 07

‐ 15.455408 Dry 10100202 1515 2.47E

‐ 07

‐ 15.21388 Wet 10100203 1052 1.97E

‐ 07

‐ 15.440062 Dry 10100222 2259 2.58E-07



## ‐ 15.17031 Wet 10100224 1120 2.02E-07



## ‐ 15.414998 Wet 10100221 1835 2.64E

‐ 07

‐ 15.14725 FF 

## All Data Fabric Filter, Wet Scrubber & Dry Scrubber Data

# Antimony EF Development Data

SCC submittal ID lb / mmBtuO2 Ln Sb #/mmBtu Controls SCC submittal ID lb / mmBtuO2 Ln Sb #/mmBtu Controls 

## All Data Fabric Filter, Wet Scrubber & Dry Scrubber Data

10100202 1638 2.07E

‐ 07

‐ 15.390547 Wet 10100202 1117 2.69E-07



## ‐ 15.12855 Wet 10100226 1938 2.21E

‐ 07

‐ 15.325103 Dry 10100202 1117 2.69E-07



## ‐ 15.12855 Wet 10100202 1637 2.23E

‐ 07

‐ 15.316094 Wet 10100205 1346111 2.69E

‐ 07

‐ 15.12855 Dry 10100221 2170 2.35E

‐ 07

‐ 15.261675 FF 10100202 

## 736 2.97E-07



## ‐ 15.03035 FF 10100212 1021 2.40E-07



## ‐ 15.243662 ESP 10100202 735 3.00E-07



## ‐ 15.01966 FF 10100203 894 2.43E-07



## ‐ 15.230204 ESP 10100218 1563 3.08E-07



## ‐ 14.99317 Dry 10100202 1515 2.47E

‐ 07

‐ 15.213878 Wet 10100218 524 3.11E

‐ 07

‐ 14.98347 FF 10100222 2259 2.58E-07



## ‐ 15.170306 Wet 10100202 2095 3.17E-07



## ‐ 14.96436 FF 10100221 1835 2.64E

‐ 07

‐ 15.147247 FF 10100205 134611 3.21E

‐ 07

‐ 14.95182 Dry 10100202 1117 2.69E-07



## ‐ 15.128554 Wet 10100202 2239 3.24E-07



## ‐ 14.94252 Wet 10100202 1117 2.69E-07



## ‐ 15.128554 Wet 10100202 698 3.32E

‐ 07

‐ 14.91813 Dry 10100205 1346111 2.69E

‐ 07

‐ 15.128554 Dry 10100202 1563 3.70E-07



## ‐ 14.80976 Dry 10100202 

## 736 2.97E-07



## ‐ 15.030353 FF 10100222 1449 3.74E-07



## ‐ 14.79901 Dry 10100202 735 3.00E-07



## ‐ 15.019657 FF 10100218 1563 3.79E-07



## ‐ 14.78573 Dry 10100218 1563 3.08E-07



## ‐ 14.993166 Dry 10100212 1177 3.86E-07



## ‐ 14.76743 Wet 10100218 524 3.11E

‐ 07

‐ 14.983473 FF 10100202 2022 4.07E

‐ 07

‐ 14.71445 Dry 10100202 2095 3.17E-07



## ‐ 14.964364 FF 10100203 1735 4.17E

‐ 07

‐ 14.69022 Dry 10100205 134611 3.21E

‐ 07

‐ 14.951825 Dry 10100203 1734 4.53E

‐ 07

‐ 14.60704 Dry 10100202 2239 3.24E-07



## ‐ 14.942522 Wet 10100223 1327 4.71E-07



## ‐ 14.56841 Wet 10100202 698 3.32E

‐ 07

‐ 14.918131 Dry 10100202 541 4.92E

‐ 07

‐ 14.52479 Wet 10100202 10040002 3.53E-07



## ‐ 14.856798 ESP 10100226 1398 4.95E-07



## ‐ 14.51871 Dry 10100212 731 3.68E

‐ 07

‐ 14.814716 ESP 10100218 2088 5.36E

‐ 07

‐ 14.43913 FF 10100202 1563 3.70E-07



## ‐ 14.809763 Dry 10100202 

## 734 5.36E-07



## ‐ 14.43822 FF 10100212 3197 3.73E-07



## ‐ 14.801687 ESP 10100222 1832 5.82E-07



## ‐ 14.3568 FF 10100222 1449 3.74E-07



## ‐ 14.79901 Dry 10100223 1307 6.03E-07



## ‐ 14.32135 Wet 10100218 1563 3.79E-07



## ‐ 14.78573 Dry 10100202 1176 6.04E-07



## ‐ 14.31969 Wet 10100212 1177 3.86E-07



## ‐ 14.767428 Wet 10100222 

## 1833 6.12E-07



## ‐ 14.30653 FF 10100222 1854 3.95E-07



## ‐ 14.74438 ESP 10100202 1187 6.20E-07



## ‐ 14.29355 Wet 10100202 1004 4.06E-07



## ‐ 14.716913 ESP 10100205 1346 6.28E

‐ 07

‐ 14.28073 Dry 10100202 2022 4.07E

‐ 07

‐ 14.714453 Dry 10100202 1185 6.49E-07



## ‐ 14.24783 Wet 10100204 1113 4.15E-07



## ‐ 14.694987 ESP 10100202 1244 6.66E-07



## ‐ 14.22137 FF 10100203 1735 4.17E

‐ 07

‐ 14.690223 Dry 10100218 1310 6.78E

‐ 07

‐ 14.20412 FF 10100203 1734 4.53E

‐ 07

‐ 14.607035 Dry 10100202 1826 7.52E-07



## ‐ 14.10053 Wet 10100223 1327 4.71E-07



## ‐ 14.568408 Wet 10100202 63254 7.60E-07



## ‐ 14.08995 FF 10100202 541 4.92E

‐ 07

‐ 14.524787 Wet 10100222 1841 8.16E-07



## ‐ 14.01885 FF 10100226 1398 4.95E-07



## ‐ 14.518708 Dry 10100202 18261 8.20E-07



## ‐ 14.01396 Wet 10100201 902 5.12E-07



## ‐ 14.484941 ESP 10100222 2206 1.05E

‐ 06

‐ 13.76672 Dry 10100218 2088 5.36E

‐ 07

‐ 14.439132 FF 10100202 1507 1.08E

‐ 06

‐ 13.73855 Dry 10100202 

## 734 5.36E-07



## ‐ 14.438222 FF 10100202 1330 1.11E-06



## ‐ 13.71115 Wet 10100202 979 5.47E-07



## ‐ 14.418817 ESP 10100226 1558 1.17E

‐ 06

‐ 13.65851 Wet 10100202 2276 5.59E-07



## ‐ 14.397116 ESP 10100222 879456 1.45E

‐ 06

‐ 13.44395 FF 10100202 1906 5.67E

‐ 07

‐ 14.382907 ESP 10100202 8761 1.45E-06



## ‐ 13.44395 Dry 10100222 1832 5.82E-07



## ‐ 14.356795 FF 10100202 966 1.50E

‐ 06

‐ 13.41005 Wet 10100223 1307 6.03E-07



## ‐ 14.321349 Wet 10100202 1654 1.50E

‐ 06

‐ 13.41005 FF 10100202 1176 6.04E-07



## ‐ 14.319692 Wet 10100202 1915 2.47E-06



## ‐ 12.91129 Wet

# Antimony EF Development Data

SCC submittal ID lb / mmBtuO2 Ln Sb #/mmBtu Controls SCC submittal ID lb / mmBtuO2 Ln Sb #/mmBtu Controls 

## All Data Fabric Filter, Wet Scrubber & Dry Scrubber Data

10100222 

## 1833 6.12E-07



## ‐ 14.306534 FF 10100202 8761 2.77E-06



## ‐ 12.79666 Dry 10100202 1187 6.20E-07



## ‐ 14.293546 Wet 10100205 1346 6.28E

‐ 07

‐ 14.280726 Dry 10100202 1185 6.49E-07



## ‐ 14.247833 Wet 10100202 1244 6.66E-07



## ‐ 14.221367 FF 10100218 1310 6.78E

‐ 07

‐ 14.204119 FF 10100223 2009 7.00E-07



## ‐ 14.172186 ESP 10100202 1989 7.00E

‐ 07

‐ 14.172186 ESP 10100222 2011 7.47E-07



## ‐ 14.107201 ESP 10100202 1826 7.52E-07



## ‐ 14.10053 Wet 10100202 63254 7.60E-07



## ‐ 14.089947 FF 10100211 1642 7.76E

‐ 07

‐ 14.069113 ESP 10100226 1141 8.10E-07



## ‐ 14.026232 ESP 10100223 2070 8.13E-07



## ‐ 14.022535 ESP 10100222 1841 8.16E-07



## ‐ 14.018851 FF 10100202 18261 8.20E-07



## ‐ 14.013961 Wet 10100222 21351 8.20E-07



## ‐ 14.013961 ESP 10100222 2135 8.86E-07



## ‐ 13.936549 ESP 10100223 12861 9.60E-07



## ‐ 13.856333 ESP 10100212 

## 632 9.91E-07



## ‐ 13.824551 ESP 10100222 2206 1.05E

‐ 06

‐ 13.76672 Dry 10100222 2013 1.07E

‐ 06

‐ 13.747852 ESP 10100202 1507 1.08E

‐ 06

‐ 13.73855 Dry 10100202 975 1.10E-06



## ‐ 13.7202 ESP 10100202 1330 1.11E-06



## ‐ 13.711151 Wet 10100226 1558 1.17E

‐ 06

‐ 13.658507 Wet 10100212 2103 1.29E

‐ 06

‐ 13.560868 ESP 10100222 879456 1.45E

‐ 06

‐ 13.443947 FF 10100202 8761 1.45E-06



## ‐ 13.443947 Dry 10100202 2195 1.47E-06



## ‐ 13.430248 ESP 10100201 903 1.48E-06



## ‐ 13.423468 ESP 10100202 966 1.50E

‐ 06

‐ 13.410045 Wet 10100202 1654 1.50E

‐ 06

‐ 13.410045 FF 10100202 993 1.53E-06



## ‐ 13.390243 ESP 10100203 892 1.55E-06



## ‐ 13.377256 ESP 10100202 1636 1.73E

‐ 06

‐ 13.267389 ESP 10100223 828 2.17E-06



## ‐ 13.040783 ESP 10100202 1845 2.28E-06



## ‐ 12.991335 ESP 10100202 1915 2.47E-06



## ‐ 12.911292 Wet 10100202 8761 2.77E-06



## ‐ 12.796663 Dry 10100203 1809 2.91E-06



## ‐ 12.747357 ESP 10100212 22791 3.54E-06



## ‐ 12.551105 ESP 10100204 1111 5.27E-06



## ‐ 12.15348 ESP 10100212 2279 1.06E-05



## ‐ 11.452493 ESP 10100202 1471 1.15E-05



## ‐ 11.373164 ESPFrom File WorkSheet. wst Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -15.38 1.116 -12.8 34 2.317 2.97 3.3 2 -15.46 1.053 -17.94 1 2.353 2.95 3.29 3 -15.38 0.97 -13.44 33 2 2.94 3.27 4 -15.45 0.918 -13.74 32 1.861 2.91 3.25 5 -15.5 0.876 -13.77 31 1.982 2.91 3.24
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -14.13 1.1 -11.37 44 2.503 3.08 3.43 2 -14.19 1.041 -11.45 43 2.631 3.07 3.41 3 -14.26 0.96 -12.15 42 2.189 3.06 3.4 4 -14.31 0.912 -12.55 41 1.924 3.05 3.39 5 -14.35 0.879 -12.75 40 1.824 3.04 3.38
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Number of d ata = 2110% critical value: 0.39 1 5% critical v alue: 0.44 1% critical v alue: 0.524

Test Statist ic: 0.184
For 10% sig nificance le vel, -13.410 04545 is no t an outlier. For 5% sign ificance lev el, -13.4100 4545 is not an outlier. For 1% sign ificance lev el, -13.4100 4545 is not an outlier.

Test Statist ic: 0.177
For 10% sig nificance le vel, -17.308 82323 is no t an outlier. For 5% sign ificance lev el, -17.3088 2323 is not an outlier. For 1% sign ificance lev el, -17.3088 2323 is not an outlier.

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -15.29 1.18 -18.44 1 2.67 2.99 3.33 2 -15.2 1.083 -12.91 36 2.115 2.98 3.32 3 -15.27 1.022 -13.41 35 1.819 2.97 3.3 4 -15.33 0.983 -17.02 2 1.728 2.95 3.29 5 -15.27 0.95 -17 3 1.819 2.94 3.27
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP Fabric Filter Number o f Valid Obs ervations 44 21 Number of D istinct Obs ervations 43 20

Minimum 1.2900E-7 3.0400E-8 M aximum 1.1500E-5 1.5000E-6 Mean 1.4472E-6 4.8590E-7 Median 7.6150E-7 3.1700E-7 SD 2.3448E-6 4.0981E-7 SE

of Mean 3.5349E-7 8.9428E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 63 1.858 1.669 0.034 Welch-Satte rthwaite (U nequal Varia 48.3 2.636 1.677 0.006 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 5.498E-12 Var iance of Ba ckground 1.679E-13

Numera tor DF Denomin ator DF F-Test Value P-Value 4 3 2 0 32.7 37 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Fabric Filte Wet Scrubb er Number o f Valid Obs ervations 21 36 Number of D istinct Obs ervations 20 35

Minimum 3.0400E-8 9.7900E-9 M aximum 1.5000E-6 2.4700E-6 Mean 4.8590E-7 4.1872E-7 Median 3.1700E-7 2.3500E-7 SD 4.0981E-7 4.9907E-7 SE

of Mean 8.9428E-8 8.3178E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 55 0.522 1.673 0.302 Welch-Satte rthwaite (U nequal Varia 48.7 0.550 1.677 0.292 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 1.679E-13 Var iance of Ba ckground 2.491E-13

Numera tor DF Denomin ator DF F-Test Value P-Value 35 2 0 1.4 83 0.353 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Wet Scrubb Fabric Filter Number o f Valid Obs ervations 36 21 Number of D istinct Obs ervations 35 20

Minimum 9.7900E-9 3.0400E-8 M aximum 2.4700E-6 1.5000E-6 Mean 4.1872E-7 4.8590E-7 Median 2.3500E-7 3.1700E-7 SD 4.9907E-7 4.0981E-7 SE

of Mean 8.3178E-8 8.9428E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 55 -0.522 1.673 0.698 Welch-Satte rthwaite (U nequal Varia 48.7 -0.550 1.677 0.708 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 2.491E-13 Var iance of Ba ckground 1.679E-13

Numera tor DF Denomin ator DF F-Test Value P-Value 35 2 0 1.4 83 0.353 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Fabric Filte Dry Scrubbe r Number o f Valid Obs ervations 21 34 Number of D istinct Obs ervations 20 34

Minimum 3.0400E-8 1.6200E-8 M aximum 1.5000E-6 2.7700E-6 Mean 4.8590E-7 3.8482E-7 Median 3.1700E-7 2.0900E-7 SD 4.0981E-7 5.3033E-7 SE

of Mean 8.9428E-8 9.0951E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 53 0.746 1.674 0.230 Welch-Satte rthwaite (U nequal Varia 50.2 0.792 1.676 0.216 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 1.679E-13 Var iance of Ba ckground 2.812E-13

Numera tor DF Denomin ator DF F-Test Value P-Value 3 3 2 0 1.6 75 0.227 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Dry Scrubb Fabric Filter Number o f Valid Obs ervations 34 21 Number of D istinct Obs ervations 34 20

Minimum 1.6200E-8 3.0400E-8 M aximum 2.7700E-6 1.5000E-6 Mean 3.8482E-7 4.8590E-7 Median 2.0900E-7 3.1700E-7 SD 5.3033E-7 4.0981E-7 SE

of Mean 9.0951E-8 8.9428E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 53 -0.746 1.674 0.770 Welch-Satte rthwaite (U nequal Varia 50.2 -0.792 1.676 0.784 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 2.812E-13 Var iance of Ba ckground 1.679E-13

Numera tor DF Denomin ator DF F-Test Value P-Value 3 3 2 0 1.6 75 0.227 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File WorkSheet. wst Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -15.25 1.142 -18.44 1 2.793 3.353 3.723 2 -15.22 1.104 -17.94 2 2.466 3.344 3.714 3 -15.19 1.071 -12.8 91 2.231 3.344 3.714 4 -15.21 1.046 -12.91 90 2.201 3.343 3.704 5 -15.24 1.022 -17.31 3 2.025 3.334 3.704
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier'lb/mmBtuO2' xesp024681012141618202224262830 FrequencyHistogram for 'lb/mmBtuO2' xespFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 0.95

Numbe r of Valid Ob servations 91 Number o f Distinct Ob servations 85

Minimum 9.7900E-9 Maximum 2.7700E-6 Mean o f Raw Data 4.2156E-7 Standard Deviation o f Raw Data 4.8865E-7 Kstar 0.981 Mean of Log Transfo rmed Data -15.25 Standard D eviation of Log Transfo rmed Data 1.148

C orrelation Co efficient R 0.847 Appr oximate Sha piro Wilk Te st Statistic 0.729 Approximat e Shapiro W ilk P Value 0 Lilliefors Te st Statistic 0.2 Lilliefo rs Critical (0 .95) Value 0.0929

C orrelation Co efficient R 0.983 A-D Te st Statistic 0.588 A -D Critical (0 .95) Value 0.783 K-S Te st Statistic 0.0711 K -S Critical(0 .95) Value 0.0965

C orrelation Co efficient R 0.994 Appr oximate Sha piro Wilk Te st Statistic 0.978 Approximat e Shapiro W ilk P Value 0.466 Lilliefors Te st Statistic 0.0564 Lilliefo rs Critical (0 .95) Value 0.0929From File WorkSheet. wst Full Precision OFF C onfidence C oefficient 0.95

Numbe r of Valid Ob servations 34 Number o f Distinct Ob servations 34

Minimum 1.6200E-8 Maximum 2.7700E-6 Mean o f Raw Data 3.8482E-7 Standard Deviation o f Raw Data 5.3033E-7 Kstar 0.885 Mean of Log Transfo rmed Data -15.38 Standard D eviation of Log Transfo rmed Data 1.133

C orrelation Co efficient R 0.774 Sha piro Wilk Te st Statistic 0.626 Shapiro W ilk Critical (0 .95) Value 0.933 Approximat e Shapiro W ilk P Value 9.913E-10 Lilliefors Te st Statistic 0.272 Lilliefo rs Critical (0 .95) Value 0.152

C orrelation Co efficient R 0.947 A-D Te st Statistic 0.675 A -D Critical (0 .95) Value 0.778 K-S Te st Statistic 0.13 K -S Critical(0 .95) Value 0.156

C orrelation Co efficient R 0.993 Sha piro Wilk Te st Statistic 0.988 Shapiro W ilk Critical (0 .95) Value 0.933 Approximat e Shapiro W ilk P Value 0.966 Lilliefors Te st Statistic 0.0759 Lilliefo rs Critical (0 .95) Value 0.152

Numbe r of Valid Ob servations 44Number o f Distinct Ob servations 43

Minimum 1.2900E-7 Maximum 1.1500E-5 Mean o f Raw Data 1.4472E-6 Standard Deviation o f Raw Data 2.3448E-6 Kstar 0.82 Mean of Log Transfo rmed Data -14.13 Standard D eviation of Log Transfo rmed Data 1.112

C orrelation Co efficient R 0.718 Sha piro Wilk Te st Statistic 0.535 Shapiro W ilk Critical (0 .95) Value 0.944 Approximat e Shapiro W ilk P Value 2.665E-15 Lilliefors Te st Statistic 0.301 Lilliefo rs Critical (0 .95) Value 0.134

C orrelation Co efficient R 0.916 A-D Te st Statistic 1.645 A -D Critical (0 .95) Value 0.784 K-S Te st Statistic 0.155 K -S Critical(0 .95) Value 0.138

C orrelation Co efficient R 0.983 Sha piro Wilk Te st Statistic 0.955 Shapiro W ilk Critical (0 .95) Value 0.944 Approximat e Shapiro W ilk P Value 0.128 Lilliefors Te st Statistic 0.0735 Lilliefo rs Critical (0 .95) Value 0.134

Numbe r of Valid Ob servations 21 Number o f Distinct Ob servations 20

Minimum 3.0400E-8 Maximum 1.5000E-6 Mean o f Raw Data 4.8590E-7 Standard Deviation o f Raw Data 4.0981E-7 Kstar 1.136 Mean of Log Transfo rmed Data -14.97 Standard D eviation of Log Transfo rmed Data 1.095C orrelation Co efficient R 0.932 Sha piro Wilk Te st Statistic 0.865 Shapiro W ilk Critical (0 .95) Value 0.908 Approximat e Shapiro W ilk P Value 0.00625 Lilliefors Te st Statistic 0.184 Lilliefo rs Critical (0 .95) Value 0.193

C orrelation Co efficient R 0.975 A-D Te st Statistic 0.346 A -D Critical (0 .95) Value 0.763 K-S Te st Statistic 0.135 K -S Critical(0 .95) Value 0.194

C orrelation Co efficient R 0.964 Sha piro Wilk Te st Statistic 0.924 Shapiro W ilk Critical (0 .95) Value 0.908 Approximat e Shapiro W ilk P Value 0.0987 Lilliefors Te st Statistic 0.163 Lilliefo rs Critical (0 .95) Value 0.193

Numbe r of Valid Ob servations 36 Number o f Distinct Ob servations 35

Minimum 9.7900E-9 Maximum 2.4700E-6 Mean o f Raw Data 4.1872E-7 Standard Deviation o f Raw Data 4.9907E-7 Kstar 0.896 Mean of Log Transfo rmed Data -15.29 Standard D eviation of Log Transfo rmed Data 1.196

C orrelation Co efficient R 0.845 Sha piro Wilk Te st Statistic 0.731 Shapiro W ilk Critical (0 .95) Value 0.935 Approximat e Shapiro W ilk P Value 6.1962E-8 Lilliefors Te st Statistic 0.229 Lilliefo rs Critical (0 .95) Value 0.148

C orrelation Co efficient R 0.985A-D Te st Statistic 0.38 A -D Critical (0 .95) Value 0.778 K-S Te st Statistic 0.131 K -S Critical(0 .95) Value 0.151

C orrelation Co efficient R 0.991 Sha piro Wilk Te st Statistic 0.983 Shapiro W ilk Critical (0 .95) Value 0.935 Approximat e Shapiro W ilk P Value 0.895 Lilliefors Te st Statistic 0.0848 Lilliefo rs Critical (0 .95) Value 0.148'lb/mmBtuO2' (dry)01234567891011121314 FrequencyHistogram for 'lb/mmBtuO2' (dry)'lb/mmBtuO2' (esp)0123456789101112131415161718192021 FrequencyHistogram for 'lb/mmBtuO2' (esp)'lb/mmBtuO2' (ff)0123456 FrequencyHistogram for 'lb/mmBtuO2' (ff)'lb/mmBtuO2' (wet)01234567891011 FrequencyHistogram for 'lb/mmBtuO2' (wet)'lb/mmBtuO2' (dry)341.6200E-82.7700E-63.8482E-72.0900E-72.812E-135.3033E-72.3566E-73.23612.43N/A'lb/mmBtuO2' (esp)441.2900E-71.1500E-51.4472E-67.6150E-75.498E-122.3448E-66.8718E-73.43912.26N/A'lb/mmBtuO2' (ff)213.0400E-81.5000E-64.8590E-73.1700E-71.679E-134.0981E-73.8933E-71.2781.544N/A'lb/mmBtuO2' (wet)369.7900E-92.4700E-64.1872E-72.3500E-72.491E-134.9907E-72.5137E-72.487.586N/A'lb/mmBtuO2' (dry)344.2830E-84.9660E-88.4560E-89.9150E-82.0900E-74.0000E-74.3140E-79.2340E-71.2095E-62.3344E-6'lb/mmBtuO2' (esp)441.3765E-71.5030E-73.0900E-73.7175E-77.6150E-71.4725E-61.5380E-62.7210E-65.0105E-61.1113E-5'lb/mmBtuO2' (ff)214.3300E-85.4400E-81.2400E-72.3500E-73.1700E-76.6600E-76.7800E-78.1600E-71.4500E-61.4900E-6'lb/mmBtuO2' (wet)364.1150E-84.6500E-87.1500E-81.0875E-72.3500E-76.0325E-76.2000E-79.6500E-71.2525E-62.1305E-6'lb/mmBtuO2' xesp919.7900E-92.7700E-64.2156E-72.6900E-72.388E-134.8865E-72.9281E-72.5648.238N/A'lb/mmBtuO2' xesp914.0900E-84.6700E-89.1800E-81.1150E-72.6900E-75.5900E-76.2000E-71.0500E-61.4500E-62.5000E-6

# Coal Fired Utility Boiler Arsenic Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information Collection Request (ICR) were evaluated for the development of national emissions factors. The procedures employed are as described in the draft Emissions Factors Procedures Document. The data used for the development of the Arsenic Emissions Factor are presented on the following page with four sets of columns for ESP only, Fabric Filter only, Dry Scrubbing with either ESP or Fabric Filter and Wet Scrubbing with either ESP or Fabric Filter. Each set of columns includes the Submission ID for each test data, the site specific emissions factor as determined using the f factor method and the natural log of the site specific emissions factor. Subsequent pages provide the assessments as performed using EPA’s statistical software ProUCL. The assessments provide support for the development of separate national emissions factors for ESP, Fabric Filter, Dry Scrubbing and Wet Scrubbing controls. Separate emissions factors were developed since there is a statistical difference between ESP and Fabric Filter controls, Fabric Filter and Dry Scrubbing controls, Fabric Filter and Wet Scrubbing controls and Dry Scrubbing and Wet Scrubbing controls.
The resulting calculated arsenic emissions factors are: Emissions Factor lb/mmBtu Number of Supporting Tests Quality Indicator ESP controls 1.25 x 10 ‐ 5 

## 45 Highly Representative Fabric Filter controls 9.72 x 10 ‐ 7 

## 21 Highly Representative Dry Scrubbing controls 1.61 x 10 ‐ 6 

## 35 Highly Representative Wet Scrubbing controls 2.52 x 10 ‐ 6 

## 36 Highly Representative0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ESP SubID ESP #/mmBtu ESP LN#/mmB FF SubID FF #/mmBtu FF LN #/mmBtu Dry S SubID Dry S #/mmBtu Dry S LN #/mmBtu Wet S SubID Wet S #/mmBtu Wet S LN #/mmBtu 1 2 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 36 37 38 39 40 41 42 43 44 45 1,471 0.000275 8.19873946 63,254 0.00000411 2.40208753 995 000000389 4.75968649 1,330 0.0000132 1.23529373 979 0.00000393 2.44687113 2,095 0.00000326 2.63378336 1,563 000000383 4.77523085 1,738 0.00000245 2.91942253 1,111 0.0000334 0.30695466 1,606 000000424 4.67353238 550,002 000000659 4.23232537 1,743 0.00000315 2.66810811 1,113 0.00000885 11.6350931 1,310 000000711 4.15659341 1,942 0.0000001 6.11809565 994 000000487 4.53500171 1,636 0.0000322 0.34354411 879,456 0.00000218 3.03618568 698 000000372 4.80437198 18,261 0.00000547 2.11623194 902 0.0000237 0.65003551 1,841 000000724 4.13847444 2,021 000000854 3.97333464 1,826 0.00000368 2.51259781 903 0.000027 0.51967369 1,597 0.00000153 3.39024282 8,761 0.0000233 10.6670572 1,637 0.00000201 3.11737584 1,906 0.00000501 2.20407464 1,835 000000264 5.14724665 8,761 0.0000146 1.13448903 1,638 0.00000248 -12.907252 2,279 0.0000007 4.17269948 2,170 000000235 5.26167537 2,022 0.00000399 2.43171933 1,117 0.00000507 2.19216974 22,791 000000233 5.27131177 1,244 000000666 4.22136671 1,249 000000114 5.98706739 1,118 0.00000255 12.8794172 1,004 0.00000082 14.0139615 735 0.0000003 5.01965733 1,349 000000712 4.15518793 1,119 0.00000353 2.55421269 3,197 0.00000037 4.80976283 1,189 000000164 5.62339941 1,735 0.00000125 3.59121087 2,319 0.00000029 5.05338491 1,845 0.0000335 0.30396512 1,190 000000368 14.8151829 1,734 000000453 4.60703545 2,055 0.0000037 2.50717774 1,854 000000257 5.17418975 1,654 000000662 4.22800028 1,060 000000743 4.11256979 900 000000728 4.13296479 828 0.0000238 0.64582498 1,832 000000582 4.35679539 1,060 000000743 4.11256979 966 0.0000231 0.67567794 2,070 000000824 4.00909531 1,833 000000612 4.30653355 1,611 000000201 5.41996093 1,647 000000133 5.83291671 993 0.00000526 2.15537953 2,088 000000829 4.00304568 1,052 000000118 5.95258121 1,648 000000201 5.41996093 10,040,002 000000981 3.83469338 845 0.00000031 4.98669354 1,488 000000111 6.01373564 2,259 000000258 5.17030625 2,276 000000587 4.34824102 734 000000536 4.43822219 1,938 0.00000175 3.25589477 1,177 0.00000352 2.55704957 2,274 000000175 5.55847986 736 000000297 5.03035251 1,133 000000375 4.79509003 1,276 000000185 5.50291001 1,809 0.0000162 1.03049932 524 0.00000165 3.31473527 1,129 000000114 5.98568872 1,120 0.00000199 3.12737592 1,642 0.0000015 3.41004545 2,206 0.0000003 5.01948336 1,972 000000405 7.02196386 2,161 0.00000109 3.72933286 1,398 000000303 5.00953303 1,176 000000832 13.9994334 2,195 0.00000147 3.43024816 1,568 000000201 5.41996093 23,151 000000463 6.88812388

941 000000299 5.02282226 1,726 000000188 5.48682387 23,152 000000234 7.57052981 12,861 0.00000164 3.32081432 947 000000729 16.4341772 23,153 000000825 6.31046754 2,302 0.0000011 3.72020038 1,909 000000608 6.61567605 2,315 000000478 16.8562402 1,154 0.00000194 3.15282258 1,507 000000236 5.25943403 1,515 000000247 15.2138775 2,009 0.00000283 2.77523385 560 000000082 6.31654659 1,915 0.0000014 3.47903832

894 0.00000179 3.23329494 565 000000776 6.37169841 1,558 0.00000287 2.76119853 1,902 0.00000224 3.00903469 134,611 0.00000139 3.48620681 1,307 0.00000141 3.47192085 2,135 0.00000208 3.08314266 1,346,111 000000977 3.83877918 1,327 000000293 5.04309323 21,351 0.00000547 2.11623194 13,461 000000342 14.8884551 2,239 000000632 4.27437644 892 0.00000679 1.90005962 1,346 000000333 4.91512335 1,185 000000649 4.24783312 1,141 0.00000529 2.14969231 1,449 000000371 4.80706377 1,187 000000568 4.38114442 1,989 0.0000019 3.17365667 541 0.00000352 2.55704957 1,021 0.00000024 5.24366216

975 0.0000104 1.47370475 2,103 0.00000035 4.86533268 2,013 0.00000305 2.70036897 2,011 0.00000109 3.72933286 10,040,004 000000173 5.56997424 2,278 000000397 4.73932956 632 0.0000139 1.18362172 731 0.00000126 3.58439884From File WorkSheet. wst Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 1

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -12.93 1.686 -8.199 1 2.808 3.09 3.44
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Number of d ata = 21 10% critical value: 0.39 1 5% critical v alue: 0.44 1% critical v alue: 0.524

Test Statist ic: 0.231
For 10% sig nificance le vel, -12.402 08753 is no t an outlier. For 5% sign ificance lev el, -12.4020 8753 is not an outlier. For 1% sign ificance lev el, -12.4020 8753 is not an outlier.

Test Statist ic: 0.184
For 10% sig nificance le vel, -15.623 39941 is no t an outlier. For 5% sign ificance lev el, -15.6233 9941 is not an outlier. For 1% sign ificance lev el, -15.6233 9941 is not an outlier.Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -14.71 1.356 -10.67 7 2.979 2.98 3.32
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -13.99 1.685 -17.57 25 2.124 2.99 3.33
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Grea ter Than or Equal to Ba ckground M ean (Form 2 ) A lternative Hy pothesis Site or AOC Mean Less Than the B ackground M ean

Site Background Number o f Valid Obs ervations 45 21 Number of D istinct Obs ervations 44 21

Minimum 1.7300E-7 1.6400E-7 M aximum 2.7500E-4 4.1100E-6 Mean 1.2469E-5 9.7210E-7 Median 1.9000E-6 6.1200E-7 SD 4.1184E-5 1.0448E-6 SE

of Mean 6.1393E-6 2.2799E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 64 1.274 -1.669 0.896 Welch-Satte rthwaite (U nequal Varia 44.1 1.871 -1.680 0.966 Pooled SD: 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e >= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite >= Back ground

Varian ce of Site 1.6961E-9 Var iance of Ba ckground 1.092E-12

Numera tor DF Denomin ator DF F-Test Value P-Value 44 2 0 1553 .794 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Grea ter Than or Equal to Ba ckground M ean (Form 2 ) A lternative Hy pothesis Site or AOC Mean Less Than the B ackground M ean

Site Background Number o f Valid Obs ervations 21 35 Number of D istinct Obs ervations 21 32

Minimum 1.6400E-7 6.0800E-8 M aximum 4.1100E-6 2.3300E-5 Mean 9.7210E-7 1.6076E-6 Median 6.1200E-7 3.7100E-7 SD 1.0448E-6 4.5160E-6 SE

of Mean 2.2799E-7 7.6334E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 54 -0.633 -1.674 0.265 Welch-Satte rthwaite (U nequal Varia 39.8 -0.798 -1.684 0.215 Pooled SD: 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e >= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite >= Back ground

Varian ce of Site 1.092E-12 Var iance of Ba ckground 2.039E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 34 2 0 18.6 83 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Grea ter Than or Equal to Ba ckground M ean (Form 2 ) A lternative Hy pothesis Site or AOC Mean Less Than the B ackground M ean

Site Background Number o f Valid Obs ervations 21 36 Number of D istinct Obs ervations 21 35

Minimum 1.6400E-7 2.3400E-8 M aximum 4.1100E-6 2.3100E-5 Mean 9.7210E-7 2.5234E-6 Median 6.1200E-7 1.1160E-6 SD 1.0448E-6 4.3111E-6 SE

of Mean 2.2799E-7 7.1851E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 55 -1.616 -1.673 0.056 Welch-Satte rthwaite (U nequal Varia 41.7 -2.058 -1.682 0.023 Pooled SD: 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e >= Backgr ound * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site < Ba ckground

Varian ce of Site 1.092E-12 Var iance of Ba ckground 1.859E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 35 2 0 17.0 26 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Grea ter Than or Equal to Ba ckground M ean (Form 2 ) A lternative Hy pothesis Site or AOC Mean Less Than the B ackground M ean

Site Background Number o f Valid Obs ervations 35 36 Number of D istinct Obs ervations 32 35

Minimum 6.0800E-8 2.3400E-8 M aximum 2.3300E-5 2.3100E-5 Mean 1.6076E-6 2.5234E-6 Median 3.7100E-7 1.1160E-6 SD 4.5160E-6 4.3111E-6 SE

of Mean 7.6334E-7 7.1851E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 69 -0.874 -1.667 0.193 Welch-Satte rthwaite (U nequal Varia 68.6 -0.874 -1.667 0.193 Pooled SD: 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e >= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite >= Back ground

Varian ce of Site 2.039E-11 Var iance of Ba ckground 1.859E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 34 35 1.0 97 0.785 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa l

### ESP #/mmBtu ESP #/mmBtu n = 45 Mean = -12.93 Sd = 1.705 Slope = 1.71 Intercept = -12.93 Correlation, R = 0.983 Shapiro-Wilk Test Exact Test Statistic = 0.959 Critical Value(0.05) = 0.945 Data Appear Lognormal Approx. Test Value = 0.959 p-Value = 0.175

-16.00 -15.00 -14.00 -13.00 -12.00 -11.00 -10.00

-9.00 -8.00Ordered Observations

-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 

## Theoretical Quantiles (Standard Normal) 

# Lognormal Q-Q Plot for ESP #/mmBtu

### FF #/mmBtu FF #/mmBtu n = 21 Mean = -14.25 Sd = 0.872 Slope = 0.881 Intercept = -14.25 Correlation, R = 0.975 Shapiro-Wilk Test Exact Test Statistic = 0.945 Critical Value(0.05) = 0.908 Data Appear Lognormal Approx. Test Value = 0.945 p-Value = 0.273

-15.90 -15.80 -15.70 -15.60 -15.50 -15.40 -15.30 -15.20 -15.10 -15.00 -14.90 -14.80 -14.70 -14.60 -14.50 -14.40 -14.30 -14.20 -14.10 -14.00 -13.90 -13.80 -13.70 -13.60 -13.50 -13.40 -13.30 -13.20 -13.10 -13.00 -12.90 -12.80 -12.70 -12.60 -12.50 -12.40Ordered Observations

-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 

## Theoretical Quantiles (Standard Normal) 

# Lognormal Q-Q Plot for FF #/mmBtu

### Dry S #/mmBtu Dry S #/mmBtu n = 35 Mean = -14.71 Sd = 1.376 Slope = 1.344 Intercept = -14.71 Correlation, R = 0.953 Shapiro-Wilk Test Exact Test Statistic = 0.908 Critical Value(0.05) = 0.934 Data Not Lognormal Approx. Test Value = 0.908 p-Value = 0.00689

-17.20 -17.00 -16.80 -16.60 -16.40 -16.20 -16.00 -15.80 -15.60 -15.40 -15.20 -15.00 -14.80 -14.60 -14.40 -14.20 -14.00 -13.80 -13.60 -13.40 -13.20 -13.00 -12.80 -12.60 -12.40 -12.20 -12.00 -11.80 -11.60 -11.40 -11.20 -11.00 -10.80 -10.60Ordered Observations

-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 

## Theoretical Quantiles (Standard Normal) 

# Lognormal Q-Q Plot for Dry S #/mmBtu

### Wet S #/mmBtu Wet S #/mmBtu n = 36 Mean = -13.99 Sd = 1.709 Slope = 1.72 Intercept = -13.99 Correlation, R = 0.983 Shapiro-Wilk Test Exact Test Statistic = 0.957 Critical Value(0.05) = 0.935 Data Appear Lognormal Approx. Test Value = 0.957 p-Value = 0.228

-18.20 -18.00 -17.80 -17.60 -17.40 -17.20 -17.00 -16.80 -16.60 -16.40 -16.20 -16.00 -15.80 -15.60 -15.40 -15.20 -15.00 -14.80 -14.60 -14.40 -14.20 -14.00 -13.80 -13.60 -13.40 -13.20 -13.00 -12.80 -12.60 -12.40 -12.20 -12.00 -11.80 -11.60 -11.40 -11.20 -11.00 -10.80 -10.60Ordered Observations

-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 

## Theoretical Quantiles (Standard Normal) 

# Lognormal Q-Q Plot for Wet S #/mmBtuFF #/mmBtu Wet S #/mmBtu Dry S #/mmBtu ESP #/mmBtu 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36Frequency 

# Histograms for FF #/mmBtu, Wet S ...

# Coal Fired Utility Boiler Beryllium Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information Collection Request (ICR) were evaluated for the development of national emissions factors. The procedures employed are as described in the draft Emissions Factors Procedures Document. The data used for the development of the Beryllium Emissions Factor are presented on the following page with three sets of columns. The left set of columns contains data from all facilities and presents SCC, Submital ID, emissions factors, the natural log of the emissions factor and the control measure employed. The middle set of columns contains the same information but excludes the one data set which was identified as a potential outlier. The right set of columns contains the same information but excluding the potential outlier data and boilers with ESP control. The site specific emissions factors presented are as determined using the f factor method rather than the emissions factor determined by dividing the hourly emissions by the coal feed and associated proximate analysis. Subsequent pages provide the assessments as performed using EPA’s statistical software ProUCL. The assessments provide support for the development of a separate national emissions factors for ESP, and for combining data for Fabric Filter, Dry Scrubbing and Wet Scrubbing controls. Separate emissions factors were developed since there is a statistical difference between ESP and Fabric Filter controls. A combined factor for Fabric Filter, Dry Scrubbing controls and Wet Scrubbing controls are supported by analyses that show that there is no significant difference in the average emissions factors for these categories.
The resulting calculated arsenic emissions factors are: Emissions Factor lb/mmBtu Number of Supporting Tests Quality Indicator ESP controls 4.16 x 10 ‐ 7 

## 43 Highly Representative Fabric Filter, Dry Scrubbing & Wet Scrubbing controls 1.18 x 10 ‐ 7 

## 87 Highly RepresentativeBerylliumEmissionsTestDataSCCsubmittalIDlb /mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb /mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb /mmBtuO2LN#/mmBtu Controls10100201 9026.82E-07‐14.1982 ESP 10100201 9026.82E-07‐14.1982 ESP 10100202 20955.17E-08‐16.7778 FF10100201 9032.60E-06‐12.86 ESP 10100201 9032.60E-06‐12.86 ESP 10100202 15973.85E-08‐17.0726 FFAllDataDatalessPotentialOutlierDatalessESP&PotentialOutliers10100202 11541.37E-07‐15.8033 ESP 10100202 11541.37E-07‐15.8033 ESP 10100202 12441.67E-07‐15.6077 FF10100202 19024.56E-08‐16.9034 ESP 10100202 19024.56E-08‐16.9034 ESP 10100202 16064.95E-08‐16.8213 FF10100202 22761.02E-07‐16.0983 ESP 10100202 22761.02E-07‐16.0983 ESP 10100202 7357.50E-08‐16.406 FF10100202 1636 1.25E‐06‐13.5924 ESP 10100202 1636 1.25E‐06‐13.5924 ESP 10100202 632542.14E-07‐15.3573 FF10100202 1906 2.95E‐07‐15.0363 ESP 10100202 1906 2.95E‐07‐15.0363 ESP 10100202 11891.07E-08‐18.353 FF1010020218451 04E-06‐13 7763ESP1010020218451 04E-06‐13 7763ESP1010020211901 76E-08‐17 8554FF101002021.04E 0613.7763101002021.04E 0613.7763101002021.76E 0817.855410100202 100400021.87E-07‐15.4922 ESP 10100202 100400021.87E-07‐15.4922 ESP 10100202 1654 1.88E‐08‐17.7894 FF10100202 10041.20E-07‐15.9358 ESP 10100202 10041.20E-07‐15.9358 ESP101002027341.34E-07‐15.8245 FF10100202 21953.66E-07‐14.8206 ESP 10100202 21953.66E-07‐14.8206 ESP101002027367.42E-08‐16.4166 FF10100202 14712.39E-07‐15.2468 ESP 10100202 14712.39E-07‐15.2468 ESP 10100218 1310 4.84E‐07‐14.5412 FF10100202 9939.09E-07‐13.9109 ESP 10100202 9939.09E-07‐13.9109 ESP 10100218 2088 1.37E‐07‐15.8033 FF10100202 9799.51E-08‐16.1683 ESP 10100202 9799.51E-08‐16.1683 ESP 10100218 524 6.20E‐08‐16.5961 FF10100202 9751.17E-06‐13.6585 ESP 10100202 9751.17E-06‐13.6585 ESP 10100221 2170 5.89E‐08‐16.648 FF10100202 1989 2.68E‐07‐15.1323 ESP 10100202 1989 2.68E‐07‐15.1323 ESP 10100221 1835 6.60E‐08‐16.5335 FF10100202 21614.99E-08‐16.8132 ESP 10100202 21614.99E-08‐16.8132 ESP 10100222 18321.46E-07‐15.7397 FF10100203 8944.98E-08‐16.8153 ESP 10100203 8944.98E-08‐16.8153 ESP1010022218331.53E-07‐15.6928 FF10100203 8924.96E-07‐14.5167 ESP 10100203 8924.96E-07‐14.5167 ESP 10100222 18413.59E-08‐17.1425 FF10100203 18091.04E-06‐13.7763 ESP 10100203 18091.04E-06‐13.7763 ESP 10100222 879456 3.09E‐07‐14.9899 FF10100204 11112.22E-06‐13.018 ESP 10100204 11112.22E-06‐13.018 ESP 10100222 845 4.24E‐08‐16.9761 FF10100204 11132.92E-07‐15.0465 ESP 10100204 11132.92E-07‐15.0465 ESP 10100202 1133 3.22E‐09‐19.5544 Dry10100211 1642 2.23E‐07‐15.3161 ESP 10100211 1642 2.23E‐07‐15.3161 ESP 10100202 1129 2.85E‐08‐17.372 Dry10100212 10215.99E-08‐16.63 ESP 10100212 10215.99E-08‐16.63 ESP 10100202 1942 2.46E‐08‐17.5205 Dry1010021231973 10E 0817 2893ESP1010021231973 10E 0817 2893ESP1010020216115 03E 0816 8053D101002123.10E-08‐17.2893101002123.10E-08‐17.2893101002025.03E-08‐16.8053ry10100212 2103 2.01E‐07‐15.42 ESP 10100212 2103 2.01E‐07‐15.42 ESP 10100202 1909 5.89E‐08‐16.6474 Dry10100212 22791.64E-08‐17.9267 ESP 10100212 22791.64E-08‐17.9267 ESP 10100202 5601.69E-08‐17.896 Dry10100212 227912.24E-08‐17.6122 ESP 10100212 227912.24E-08‐17.6122 ESP 10100202 2021 1.29E‐07‐15.8635 Dry101002126326.57E-07‐14.2356 ESP101002126326.57E-07‐14.2356 ESP 10100202 1249 1.17E‐08‐18.2637 Dry10100212 731 9.20E‐08‐16.201 ESP 10100212 731 9.20E‐08‐16.201 ESP 10100202 15639.26E-08‐16.195 Dry10100222 2013 3.24E‐07‐14.9425 ESP 10100222 2013 3.24E‐07‐14.9425 ESP 10100202 1488 4.39E‐09‐19.2439 Dry10100222 20111.87E-07‐15.4922 ESP 10100222 20111.87E-07‐15.4922 ESP 10100202 1507 5.56E‐08‐16.7051 Dry10100222 213512.87E-07‐15.0638 ESP 10100222 213512.87E-07‐15.0638 ESP 10100202 5500022.00E-06‐13.1224 Dry10100222 21352.65E-07‐15.1435 ESP 10100222 21352.65E-07‐15.1435 ESP 10100202 87616.02E-08‐16.6256 Dry10100222 22745.62E-08‐16.6943 ESP 10100222 22745.62E-08‐16.6943 ESP 10100202 87611.57E-08‐17.9696 Dry1010022218541 65E-09‐20 2225ESP10100222100400043 18E‐08‐17 2638ESP101002029471 11E‐08‐18 3163Dry101002221.65E-0920.22251010022210040004.17.263810100202.18.316310100222 10040004 3.18E‐08‐17.2638 ESP 10100223 20092.35E-07‐15.2637 ESP 10100202 698 9.78E‐08‐16.1403 Dry10100223 20092.35E-07‐15.2637 ESP 10100223 2302 6.87E‐08‐16.4935 ESP 10100202 2022 7.67E‐07‐14.0808 DryBerylliumEmissionsTestDataSCCsubmittalIDlb /mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb /mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb /mmBtuO2LN#/mmBtu ControlsAllDataDatalessPotentialOutlierDatalessESP&PotentialOutliers10100223 2302 6.87E‐08‐16.4935 ESP 10100223 20702.02E-08‐17.7176 ESP 10100203 1735 1.04E‐07‐16.0765 Dry10100223 20702.02E-08‐17.7176 ESP 10100223 8288.88E-07‐13.9343 ESP 10100203 1734 1.66E‐07‐15.6083 Dry10100223 8288.88E-07‐13.9343 ESP 10100223 128612.41E-07‐15.2385 ESP 10100203 1052 2.04E‐08‐17.7077 Dry10100223 128612.41E-07‐15.2385 ESP 10100226 11412.44E-07‐15.2261 ESP 10100205 1349 1.59E‐08‐17.9569 Dry10100226 11412.44E-07‐15.2261 ESP 10100226 22788.28E-08‐16.3068 ESP 10100205 1346 1.55E‐07‐15.6798 Dry10100226 22788.28E-08‐16.3068 ESP 10100202 20955.17E-08‐16.7778 FF 10100205 13461 8.96E‐08‐16.2279 Dry10100202 20955.17E-08‐16.7778 FF 10100202 15973.85E-08‐17.0726 FF 10100205 134611 3.95E‐07‐14.7444 Dry1010020215973 85E-08‐17 0726FF1010020212441 67E-07‐15 6077FF1010020513461111 78E‐07‐15 5415Dry101002023.85E-0817.0726101002021.67E-0715.6077101002051346111.15.541510100202 12441.67E-07‐15.6077 FF 10100202 16064.95E-08‐16.8213 FF 10100212 5651.49E-08‐18.0219 Dry10100202 16064.95E-08‐16.8213 FF 10100202 7357.50E-08‐16.406 FF 10100218 15637.76E-08‐16.3717 Dry10100202 7357.50E-08‐16.406 FF 10100202 632542.14E-07‐15.3573 FF 10100218 15638.46E-08‐16.2853 Dry10100202 632542.14E-07‐15.3573 FF 10100202 11891.07E-08‐18.353 FF 10100222 1568 4.85E‐08‐16.8417 Dry10100202 11891.07E-08‐18.353 FF 10100202 11901.76E-08‐17.8554 FF 10100222 14493.07E-08‐17.299 Dry10100202 11901.76E-08‐17.8554 FF 10100202 1654 1.88E‐08‐17.7894 FF 10100222 17263.28E-08‐17.2328 Dry10100202 1654 1.88E‐08‐17.7894 FF101002027341.34E-07‐15.8245 FF 10100222 2206 4.54E‐09‐19.2103 Dry101002027341.34E-07‐15.8245 FF101002027367.42E-08‐16.4166 FF 10100226 13987.41E-08‐16.4179 Dry101002027367.42E-08‐16.4166 FF 10100218 1310 4.84E‐07‐14.5412 FF 10100226 1938 7.99E‐08‐16.3421 Dry10100218 1310 4.84E‐07‐14.5412 FF 10100218 2088 1.37E‐07‐15.8033 FF 10100201 2319 4.14E‐08‐17 Wet10100218 2088 1.37E‐07‐15.8033 FF 10100218 524 6.20E‐08‐16.5961 FF 10100202 11761.51E-07‐15.706 Wet10100218 524 6.20E‐08‐16.5961 FF 10100221 2170 5.89E‐08‐16.648 FF 10100202 19726.16E-09‐18.9052 Wet10100221 2170 5.89E‐08‐16.648 FF 10100221 1835 6.60E‐08‐16.5335 FF 10100202 19151.78E-08‐17.8441 Wet10100221 1835 6.60E‐08‐16.5335 FF 10100222 18321.46E-07‐15.7397 FF 10100202 11171.45E-08‐18.0491 Wet10100222 18321.46E-07‐15.7397 FF1010022218331.53E-07‐15.6928 FF1010020211189.45E-09‐18.4773 Wet1010022218331.53E-07‐15.6928 FF 10100222 18413.59E-08‐17.1425 FF 10100202 1119 1.01E‐08‐18.4107 Wet1010022218413 59E 0817 1425FF101002228794563 09E 0714 9899FF1010020222391 57E 0817 9696W t101002223.59E-08‐17.1425101002223.09E‐07‐14.9899101002021.57E-08‐17.9696e10100222 879456 3.09E‐07‐14.9899 FF 10100222 845 4.24E‐08‐16.9761 FF 10100202 13301.51E-07‐15.706 Wet10100222 845 4.24E‐08‐16.9761 FF 10100202 1133 3.22E‐09‐19.5544 Dry 10100202 11171.45E-08‐18.0491 Wet10100202 1133 3.22E‐09‐19.5544 Dry 10100202 1129 2.85E‐08‐17.372 Dry 10100202 1637 4.31E‐08‐16.9597 Wet10100202 1129 2.85E‐08‐17.372 Dry 10100202 1942 2.46E‐08‐17.5205 Dry 10100202 1638 4.33E‐08‐16.9551 Wet10100202 1942 2.46E‐08‐17.5205 Dry 10100202 16115.03E-08‐16.8053 Dry 10100202 18262.04E-07‐15.4051 Wet10100202 16115.03E-08‐16.8053 Dry 10100202 1909 5.89E‐08‐16.6474 Dry 10100202 20554.38E-08‐16.9436 Wet10100202 1909 5.89E‐08‐16.6474 Dry 10100202 5601.69E-08‐17.896 Dry 10100202 182612.87E-07‐15.0638 Wet10100202 5601.69E-08‐17.896 Dry 10100202 2021 1.29E‐07‐15.8635 Dry 10100202 966 4.88E‐07‐14.533 Wet10100202 2021 1.29E‐07‐15.8635 Dry 10100202 1249 1.17E‐08‐18.2637 Dry 10100202 1738 1.94E‐08‐17.758 Wet10100202 1249 1.17E‐08‐18.2637 Dry 10100202 15639.26E-08‐16.195 Dry 10100202 1743 2.92E‐08‐17.3491 Wet1010020215639 26E-08‐16 195Dry1010020214884 39E‐09‐19 2439Dry1010020211851 62E 07‐15 6357Wet101002029.26E 08.10100202.19.2439101002021.62E-0715.635710100202 1488 4.39E‐09‐19.2439 Dry 10100202 1507 5.56E‐08‐16.7051 Dry 10100202 11871.42E-07‐15.7674 Wet10100202 1507 5.56E‐08‐16.7051 Dry 10100202 5500022.00E-06‐13.1224 Dry 10100202 1515 6.16E‐08‐16.6026 WetBerylliumEmissionsTestDataSCCsubmittalIDlb /mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb /mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb /mmBtuO2LN#/mmBtu ControlsAllDataDatalessPotentialOutlierDatalessESP&PotentialOutliers10100202 5500022.00E-06‐13.1224 Dry 10100202 87616.02E-08‐16.6256 Dry 10100202 541 1.23E‐07‐15.9111 Wet10100202 87616.02E-08‐16.6256 Dry 10100202 87611.57E-08‐17.9696 Dry 10100211 900 1.85E‐08‐17.8055 Wet10100202 87611.57E-08‐17.9696 Dry 10100202 947 1.11E‐08‐18.3163 Dry 10100212 16474.21E-09‐19.2858 Wet10100202 947 1.11E‐08‐18.3163 Dry 10100202 698 9.78E‐08‐16.1403 Dry 10100212 16489.55E-09‐18.4667 Wet10100202 698 9.78E‐08‐16.1403 Dry 10100202 2022 7.67E‐07‐14.0808 Dry 10100212 11772.06E-07‐15.3954 Wet10100202 2022 7.67E‐07‐14.0808 Dry 10100203 1735 1.04E‐07‐16.0765 Dry 10100222 22596.44E-08‐16.5582 Wet10100203 1735 1.04E‐07‐16.0765 Dry 10100203 1734 1.66E‐07‐15.6083 Dry 10100223 13072.68E-07‐15.1323 Wet1010020317341 66E‐07‐15 6083Dry1010020310522 04E‐08‐17 7077Dry1010022313277 31E-08‐16 4314Wet10100203.15.608310100203.17.7077101002237.31E-0816.431410100203 1052 2.04E‐08‐17.7077 Dry 10100205 1349 1.59E‐08‐17.9569 Dry 10100224 11204.78E-08‐16.8562 Wet10100205 1349 1.59E‐08‐17.9569 Dry 10100205 1346 1.55E‐07‐15.6798 Dry 10100226 1558 1.13E‐07‐15.9959 Wet10100205 1346 1.55E‐07‐15.6798 Dry 10100205 13461 8.96E‐08‐16.2279 Dry 10300222 1276 1.20E‐08‐18.2384 Wet10100205 13461 8.96E‐08‐16.2279 Dry 10100205 134611 3.95E‐07‐14.7444 Dry10100205 134611 3.95E‐07‐14.7444 Dry 10100205 1346111 1.78E‐07‐15.5415 Dry10100205 1346111 1.78E‐07‐15.5415 Dry 10100212 5651.49E-08‐18.0219 Dry10100212 5651.49E-08‐18.0219 Dry 10100218 15637.76E-08‐16.3717 Dry10100218 15637.76E-08‐16.3717 Dry 10100218 15638.46E-08‐16.2853 Dry10100218 15638.46E-08‐16.2853 Dry 10100222 1568 4.85E‐08‐16.8417 Dry10100222 1568 4.85E‐08‐16.8417 Dry 10100222 14493.07E-08‐17.299 Dry10100222 14493.07E-08‐17.299 Dry10100222 17263.28E-08‐17.2328 Dry10100222 17263.28E-08‐17.2328 Dry 10100222 2206 4.54E‐09‐19.2103 Dry10100222 2206 4.54E‐09‐19.2103 Dry 10100226 13987.41E-08‐16.4179 Dry10100226 13987.41E-08‐16.4179 Dry 10100226 1938 7.99E‐08‐16.3421 Dry10100226 1938 7.99E‐08‐16.3421 Dry 10100201 2319 4.14E‐08‐17 Wet10100201 2319 4.14E‐08‐17 Wet 10100202 11761.51E-07‐15.706 Wet1010020211761 51E 0715 706W t1010020219726 16E 0918 9052W t101002021.51E-07‐.e101002026.16E-09‐18.9052e10100202 19726.16E-09‐18.9052 Wet 10100202 19151.78E-08‐17.8441 Wet10100202 19151.78E-08‐17.8441 Wet 10100202 11171.45E-08‐18.0491 Wet10100202 11171.45E-08‐18.0491 Wet1010020211189.45E-09‐18.4773 Wet1010020211189.45E-09‐18.4773 Wet 10100202 1119 1.01E‐08‐18.4107 Wet10100202 1119 1.01E‐08‐18.4107 Wet 10100202 22391.57E-08‐17.9696 Wet10100202 22391.57E-08‐17.9696 Wet 10100202 13301.51E-07‐15.706 Wet10100202 13301.51E-07‐15.706 Wet 10100202 11171.45E-08‐18.0491 Wet10100202 11171.45E-08‐18.0491 Wet 10100202 1637 4.31E‐08‐16.9597 Wet10100202 1637 4.31E‐08‐16.9597 Wet 10100202 1638 4.33E‐08‐16.9551 Wet10100202 1638 4.33E‐08‐16.9551 Wet 10100202 18262.04E-07‐15.4051 Wet1010020218262 04E 07‐15 4051Wet1010020220554 38E 08‐16 9436Wet101002022.04E-0715.4051101002024.38E-0816.943610100202 20554.38E-08‐16.9436 Wet 10100202 182612.87E-07‐15.0638 Wet10100202 182612.87E-07‐15.0638 Wet 10100202 966 4.88E‐07‐14.533 WetBerylliumEmissionsTestDataSCCsubmittalIDlb /mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb /mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb /mmBtuO2LN#/mmBtu ControlsAllDataDatalessPotentialOutlierDatalessESP&PotentialOutliers10100202 966 4.88E‐07‐14.533 Wet 10100202 1738 1.94E‐08‐17.758 Wet10100202 1738 1.94E‐08‐17.758 Wet 10100202 1743 2.92E‐08‐17.3491 Wet10100202 1743 2.92E‐08‐17.3491 Wet 10100202 11851.62E-07‐15.6357 Wet10100202 11851.62E-07‐15.6357 Wet 10100202 11871.42E-07‐15.7674 Wet10100202 11871.42E-07‐15.7674 Wet 10100202 1515 6.16E‐08‐16.6026 Wet10100202 1515 6.16E‐08‐16.6026 Wet 10100202 541 1.23E‐07‐15.9111 Wet10100202 541 1.23E‐07‐15.9111 Wet 10100211 900 1.85E‐08‐17.8055 Wet101002119001 85E‐08‐17 8055Wet1010021216474 21E-09‐19 2858Wet10100211.17.8055101002124.21E-0919.285810100212 16474.21E-09‐19.2858 Wet 10100212 16489.55E-09‐18.4667 Wet10100212 16489.55E-09‐18.4667 Wet 10100212 11772.06E-07‐15.3954 Wet10100212 11772.06E-07‐15.3954 Wet 10100222 22596.44E-08‐16.5582 Wet10100222 22596.44E-08‐16.5582 Wet 10100223 13072.68E-07‐15.1323 Wet10100223 13072.68E-07‐15.1323 Wet 10100223 13277.31E-08‐16.4314 Wet10100223 13277.31E-08‐16.4314 Wet 10100224 11204.78E-08‐16.8562 Wet10100224 11204.78E-08‐16.8562 Wet 10100226 1558 1.13E‐07‐15.9959 Wet10100226 1558 1.13E‐07‐15.9959 Wet 10300222 1276 1.20E‐08‐18.2384 Wet10300222 1276 1.20E‐08‐18.2384 WetFrom File WorkSheet. wst Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -16.82 1.373 -13.12 12 2.693 2.97 3.3 2 -16.93 1.25 -14.08 17 2.281 2.95 3.29 3 -17.02 1.159 -19.55 1 2.186 2.94 3.27 4 -16.94 1.08 -19.24 10 2.133 2.91 3.25 5 -16.86 1.009 -19.21 32 2.327 2.91 3.24
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -15.55 1.449 -20.22 36 3.224 3.08 3.43 2 -15.44 1.292 -12.86 2 1.999 3.07 3.41 3 -15.5 1.242 -13.02 21 2.002 3.06 3.4 4 -15.56 1.193 -17.93 27 1.98 3.05 3.39 5 -15.51 1.146 -17.72 40 1.931 3.04 3.38
For 5% Sign ificance Le vel, there is 1 Potential O utlier Therefore, O bservation -20.22 is a Potential Sta tistical Outl ier
For 1% Sign ificance Le vel, there is no Potentia l OutlierNumber of d ata = 21 10% critical value: 0.39 1 5% critical v alue: 0.44 1% critical v alue: 0.524

Test Statist ic: 0.251
For 10% sig nificance le vel, -14.541 18093 is no t an outlier. For 5% sign ificance lev el, -14.5411 8093 is not an outlier. For 1% sign ificance lev el, -14.5411 8093 is not an outlier.

Test Statist ic: 0.188
For 10% sig nificance le vel, -18.353 0221 is not an outlier. For 5% sign ificance lev el, -18.3530 221 is not a n outlier. For 1% sign ificance lev el, -18.3530 221 is not a n outlier.

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -16.91 1.247 -14.53 16 1.908 2.94 3.27 2 -16.99 1.21 -19.29 24 1.9 2.92 3.25 3 -16.91 1.151 -18.91 3 1.732 2.91 3.24 4 -16.84 1.107 -15.06 15 1.607 2.89 3.22 5 -16.91 1.072 -15.13 28 1.655 2.88 3.2
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP Fabric Filter Number o f Valid Obs ervations 43 21 Number of D istinct Obs ervations 41 21

Minimum 1.6400E-8 1.0700E-8 M aximum 2.6000E-6 4.8400E-7 Mean 4.1597E-7 1.1168E-7 Median 2.3500E-7 6.6000E-8 SD 5.6094E-7 1.1319E-7 SE

of Mean 8.5543E-8 2.4700E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 62 2.452 1.670 0.009 Welch-Satte rthwaite (U nequal Varia 48.6 3.418 1.677 0.001 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 3.147E-13 Var iance of Ba ckground 1.281E-14

Numera tor DF Denomin ator DF F-Test Value P-Value 42 2 0 24.5 59 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Fabric Filte Dry Scrubbe r Number o f Valid Obs ervations 21 34 Number of D istinct Obs ervations 21 34

Minimum 1.0700E-8 3.2200E-9 M aximum 4.8400E-7 2.0000E-6 Mean 1.1168E-7 1.4703E-7 Median 6.6000E-8 5.7250E-8 SD 1.1319E-7 3.5639E-7 SE

of Mean 2.4700E-8 6.1121E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 53 -0.440 1.674 0.669 Welch-Satte rthwaite (U nequal Varia 42.8 -0.536 1.681 0.703 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 1.281E-14 Var iance of Ba ckground 1.270E-13

Numera tor DF Denomin ator DF F-Test Value P-Value 3 3 2 0 9.9 14 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less T han or Equ al to Backgr ound Mean (Form 1) A lternative Hy pothesis Site or AOC Mean Greate r Than the Background Mean

Dry Scrubber Fabric Filter Number o f Valid Obs ervations 34 21 Number of D istinct Obs ervations 34 21

Minimum 3.2200E-9 1.0700E-8 M aximum 2.0000E-6 4.8400E-7 Mean 1.4703E-7 1.1168E-7 Median 5.7250E-8 6.6000E-8 SD 3.5639E-7 1.1319E-7 SE

of Mean 6.1121E-8 2.4700E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 53 0.440 1.674 0.331 Welch-Satte rthwaite (U nequal Varia 42.8 0.536 1.681 0.297 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Site <= Backgro und * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude Si te <= Backg round

Varian ce of Site 1.270E-13 Var iance of Ba ckground 1.281E-14

Numera tor DF Denomin ator DF F-Test V alue P-Value 3 3 2 0 9.91 4 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Fabric Filte Wet Scrubb er Number o f Valid Obs ervations 21 32 Number of D istinct Obs ervations 21 30

Minimum 1.0700E-8 4.2100E-9 M aximum 4.8400E-7 4.8800E-7 Mean 1.1168E-7 9.0455E-8 Median 6.6000E-8 4.3550E-8 SD 1.1319E-7 1.0783E-7 SE

of Mean 2.4700E-8 1.9062E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 51 0.687 1.675 0.248 Welch-Satte rthwaite (U nequal Varia 41.4 0.680 1.683 0.250 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 1.281E-14 Var iance of Ba ckground 1.163E-14

Numera tor DF Denomin ator DF F-Test Value P-Value 2 0 3 1 1.1 02 0.789 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less T han or Equa l to Backgro und Mean ( Form 1) A lternative Hy pothesis Site or AOC Mean Greate r Than the B ackground Mean

Wet Scrubber Fabric Filter Number o f Valid Obs ervations 32 21 Number of D istinct Obs ervations 30 21

Minimum 4.2100E-9 1.0700E-8 M aximum 4.8800E-7 4.8400E-7 Mean 9.0455E-8 1.1168E-7 Median 4.3550E-8 6.6000E-8 SD 1.0783E-7 1.1319E-7 SE

of Mean 1.9062E-8 2.4700E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 51 -0.687 1.675 0.752 Welch-Satte rthwaite (U nequal Varia 41.4 -0.680 1.683 0.750 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Site < = Backgrou nd * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude Site <= Backgr ound

Varian ce of Site 1.163E-14 Var iance of Ba ckground 1.281E-14

Numera tor DF Denomin ator DF F-Test V alue P-Value 2 0 3 1 1.10 2 0.789 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa ltrim lb/mmBtuO2 (dry)trim lb/mmBtuO2 (esp)trim lb/mmBtuO2 (ff)trim lb/mmBtuO2 (wet)024681012141618202224262830

FrequencyHistograms for trim lb/mmBtuO2 (dry), ...HistogramofBerylliumTestData

y

requenc Ftrim lb/mmB tuO2 (dry) 34 3.2200E-9 2.0000E-6 1.4703E-7 5.7250E-8 1.270E-13 3.5639E-7 5.9970E-8 4.679 23.62 N/A trim lb/mmB tuO2 (esp) 43 1.6400E-8 2.6000E-6 4.1597E-7 2.3500E-7 3.147E-13 5.6094E-7 2.4655E-7 2.433 6.446 N/A trim lb/mm BtuO2 (ff) 21 1.0700E-8 4.8400E-7 1.1168E-7 6.6000E-8 1.281E-14 1.1319E-7 6.9978E-8 2.131 5.235 N/A trim lb/mmB tuO2 (wet) 32 4.2100E-9 4.8800E-7 9.0455E-8 4.3550E-8 1.163E-14 1.0783E-7 4.8184E-8 2.018 4.899 N/A

trim lb/mmB tuO2 (dry) 34 4.4875E-9 1.1280E-8 1.5820E-8 1.7775E-8 5.7250E-8 9.6500E-8 1.1400E-7 1.7440E-7 5.2520E-7 1.5931E-6 trim lb/mmB tuO2 (esp) 43 2.3260E-8 3.4560E-8 5.7680E-8 7.5750E-8 2.3500E-7 4.3100E-7 6.7200E-7 1.0400E-6 1.2420E-6 2.4404E-6 trim lb/mm BtuO2 (ff) 21 1.7600E-8 1.8800E-8 3.8500E-8 4.2400E-8 6.6000E-8 1.4600E-7 1.5300E-7 2.1400E-7 3.0900E-7 4.4900E-7 trim lb/mmB tuO2 (wet) 32 7.9695E-9 9.6050E-9 1.4500E-8 1.5400E-8 4.3550E-8 1.4425E-7 1.5100E-7 2.0580E-7 2.7655E-7 4.2569E-7trim lb/mmB tuO2 xesp 87 3.2200E-9 2.0000E-6 1.1769E-7 5.8900E-8 5.653E-14 2.3777E-7 6.4047E-8 6.236 46.75 N/A

trim lb/mmB tuO2 xesp 87 7.1470E-9 1.0940E-8 1.6100E-8 1.8650E-8 5.8900E-8 1.3550E-7 1.5100E-7 2.0920E-7 3.6920E-7 9.3962E-7

# Coal Fired Utility Boiler Cadmium Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information Collection Request (ICR) were evaluated for the development of national emissions factors. The procedures employed are as described in the draft Emissions Factors Procedures Document. The data used for the development of the Cadmium Emissions Factor are presented on the following page with two sets of columns. The left set of columns contains data from all facilities and presents SCC, Submittal ID, emissions factors, the natural log of the emissions factor and the control measure employed. The right set of columns contains the same information but excluding boilers with ESP control. The site specific emissions factors presented are as determined using the f factor method rather than the emissions factor determined by dividing the hourly emissions by the coal feed and associated proximate analysis. Subsequent pages provide the assessments as performed using EPA’s statistical software ProUCL. The assessments provide support for the development of a separate national emissions factors for ESP, and for combining data for Fabric Filter, Dry Scrubbing and Wet Scrubbing controls. Separate emissions factors were developed since there is a statistical difference between ESP and Fabric Filter controls. A combined factor for Fabric Filter, Dry Scrubbing controls and Wet Scrubbing controls are supported by analyses that show that there is no significant difference in the average emissions factors for these categories.
The resulting calculated cadmium emissions factors are: Emissions Factor lb/mmBtu Number of Supporting Tests Quality Indicator ESP controls 3.81 x 10 ‐ 7 

## 44 Highly Representative Fabric Filter, Dry Scrubbing & Wet Scrubbing controls 2.20 x 10 ‐ 7 

## 91 Highly Representative

# Cadmium Test Data

SCC submittal ID lb/mmBtu O2 

## LN #/mmBtu Controlls SCC submittal ID lb/mmBtu O2 

## LN #/mmBtu Controlls 10100226 1938 2.48E

‐ 07

‐ 15.2112 Dry 10100226 1938 2.48E

‐ 07

‐ 15.2112 Dry 10100222 1726 3.28E-08



## ‐ 17.2328 Dry 10100222 1726 3.28E-08



## ‐ 17.2328 Dry 10100202 550002 7.95E-07



## ‐ 14.0449 Dry 10100202 550002 7.95E-07



## ‐ 14.0449 Dry 10100203 1735 1.56E

‐ 07

‐ 15.6754 Dry 10100203 1735 1.56E

‐ 07

‐ 15.6754 Dry 10100203 1734 2.20E

‐ 07

‐ 15.3274 Dry 10100203 1734 2.20E

‐ 07

‐ 15.3274 Dry 10100226 1398 3.58E-07



## ‐ 14.8427 Dry 10100226 1398 3.58E-07



## ‐ 14.8427 Dry 10100202 1909 3.53E

‐ 07

‐ 14.8568 Dry 10100202 1909 3.53E

‐ 07

‐ 14.8568 Dry 10100205 1349 6.60E

‐ 08

‐ 16.5336 Dry 10100205 1349 6.60E

‐ 08

‐ 16.5336 Dry 10100222 1568 4.16E

‐ 07

‐ 14.6926 Dry 10100222 1568 4.16E

‐ 07

‐ 14.6926 Dry 10100202 1611 2.73E-08



## ‐ 17.4164 Dry 10100202 1611 2.73E-08



## ‐ 17.4164 Dry 10100202 1563 1.06E-07



## ‐ 16.0598 Dry 10100202 1563 1.06E-07



## ‐ 16.0598 Dry 10100218 1563 7.81E-08



## ‐ 16.3653 Dry 10100218 1563 7.81E-08



## ‐ 16.3653 Dry 10100218 1563 1.07E-07



## ‐ 16.0504 Dry 10100218 1563 1.07E-07



## ‐ 16.0504 Dry 10100205 1346 6.57E

‐ 08

‐ 16.5382 Dry 10100205 1346 6.57E

‐ 08

‐ 16.5382 Dry 10100202 1133 7.86E

‐ 08

‐ 16.3592 Dry 10100202 1133 7.86E

‐ 08

‐ 16.3592 Dry 10100202 1129 1.17E

‐ 07

‐ 15.9582 Dry 10100202 1129 1.17E

‐ 07

‐ 15.9582 Dry 10100222 2206 2.48E

‐ 08

‐ 17.5124 Dry 10100222 2206 2.48E

‐ 08

‐ 17.5124 Dry 10100202 1942 9.07E

‐ 07

‐ 13.9131 Dry 10100202 1942 9.07E

‐ 07

‐ 13.9131 Dry 10100205 13461 6.02E

‐ 08

‐ 16.6256 Dry 10100205 13461 6.02E

‐ 08

‐ 16.6256 Dry 10100205 134611 1.15E

‐ 07

‐ 15.9783 Dry 10100205 134611 1.15E

‐ 07

‐ 15.9783 Dry 10100205 1346111 7.18E

‐ 08

‐ 16.4494 Dry 10100205 1346111 7.18E

‐ 08

‐ 16.4494 Dry 10100202 1488 4.65E

‐ 08

‐ 16.8838 Dry 10100202 1488 4.65E

‐ 08

‐ 16.8838 Dry 10100202 1507 1.85E

‐ 07

‐ 15.5029 Dry 10100202 1507 1.85E

‐ 07

‐ 15.5029 Dry 10100222 1449 8.54E-08



## ‐ 16.2759 Dry 10100222 1449 8.54E-08



## ‐ 16.2759 Dry 10100202 560 8.11E-07



## ‐ 14.025 Dry 10100202 560 8.11E-07



## ‐ 14.025 Dry 10100212 565 3.28E-07



## ‐ 14.9303 Dry 10100212 565 3.28E-07



## ‐ 14.9303 Dry 10100202 8761 1.75E-06



## ‐ 13.2559 Dry 10100202 8761 1.75E-06



## ‐ 13.2559 Dry 10100202 8761 1.06E-07



## ‐ 16.0598 Dry 10100202 8761 1.06E-07



## ‐ 16.0598 Dry 10100202 947 8.02E

‐ 08

‐ 16.3387 Dry 10100202 947 8.02E

‐ 08

‐ 16.3387 Dry 10100202 1249 5.39E

‐ 08

‐ 16.7361 Dry 10100202 1249 5.39E

‐ 08

‐ 16.7361 Dry 10100202 698 2.05E

‐ 07

‐ 15.4003 Dry 10100202 698 2.05E

‐ 07

‐ 15.4003 Dry 10100202 2022 4.79E

‐ 07

‐ 14.5516 Dry 10100202 2022 4.79E

‐ 07

‐ 14.5516 Dry 10100203 1052 1.42E

‐ 07

‐ 15.7674 Dry 10100203 1052 1.42E

‐ 07

‐ 15.7674 Dry 10100202 2021 2.29E

‐ 07

‐ 15.2895 Dry 10100202 2021 2.29E

‐ 07

‐ 15.2895 Dry 10100202 1176 1.52E-07



## ‐ 15.6994 Wet 10100202 1176 1.52E-07



## ‐ 15.6994 Wet 10100224 1120 2.44E-07



## ‐ 15.2261 Wet 10100224 1120 2.44E-07



## ‐ 15.2261 Wet 10100202 1117 1.12E-07



## ‐ 16.0048 Wet 10100202 1117 1.12E-07



## ‐ 16.0048 Wet 10100202 

## 1118 4.37E-08



## ‐ 16.9459 Wet 10100202 

## 1118 4.37E-08



## ‐ 16.9459 Wet 10100202 1119 7.84E

‐ 08

‐ 16.3614 Wet 10100202 1119 7.84E

‐ 08

‐ 16.3614 Wet 10100202 1915 4.91E-08



## ‐ 16.8294 Wet 10100202 1915 4.91E-08



## ‐ 16.8294 Wet 10100202 1738 1.46E

‐ 07

‐ 15.7397 Wet 10100202 1738 1.46E

‐ 07

‐ 15.7397 Wet 10100202 1743 5.23E

‐ 08

‐ 16.7663 Wet 10100202 1743 5.23E

‐ 08

‐ 16.7663 Wet 10100202 2239 6.35E-08



## ‐ 16.5722 Wet 10100202 2239 6.35E-08



## ‐ 16.5722 Wet 10100202 1826 1.88E-07



## ‐ 15.4868 Wet 10100202 1826 1.88E-07



## ‐ 15.4868 Wet 10100202 18261 1.84E-07



## ‐ 15.5083 Wet 10100202 18261 1.84E-07



## ‐ 15.5083 Wet 10100202 1117 1.12E-07



## ‐ 16.0048 Wet 10100202 1117 1.12E-07



## ‐ 16.0048 Wet 10100212 1177 3.34E-07



## ‐ 14.9121 Wet 10100212 1177 3.34E-07



## ‐ 14.9121 Wet 10100202 1330 4.89E-07



## ‐ 14.5309 Wet 10100202 1330 4.89E-07



## ‐ 14.5309 Wet 

# All Data FF, Dry Scrubbed & Wet Scrubbed

# Cadmium Test Data

SCC submittal ID lb/mmBtu O2 

## LN #/mmBtu Controlls SCC submittal ID lb/mmBtu O2 

## LN #/mmBtu Controlls 

# All Data FF, Dry Scrubbed & Wet Scrubbed

10100202 1637 4.04E

‐ 07

‐ 14.7219 Wet 10100202 1637 4.04E

‐ 07

‐ 14.7219 Wet 10100202 1638 1.29E

‐ 07

‐ 15.8635 Wet 10100202 1638 1.29E

‐ 07

‐ 15.8635 Wet 10100202 966 3.15E

‐ 07

‐ 14.9707 Wet 10100202 966 3.15E

‐ 07

‐ 14.9707 Wet 10100202 2055 3.17E-07



## ‐ 14.9644 Wet 10100202 2055 3.17E-07



## ‐ 14.9644 Wet 10100211 900 8.97E

‐ 08

‐ 16.2268 Wet 10100211 900 8.97E

‐ 08

‐ 16.2268 Wet 10100202 1185 4.89E-07



## ‐ 14.5309 Wet 10100202 1185 4.89E-07



## ‐ 14.5309 Wet 10100202 1187 2.51E-07



## ‐ 15.1978 Wet 10100202 1187 2.51E-07



## ‐ 15.1978 Wet 10300222 1276 8.39E

‐ 08

‐ 16.2936 Wet 10300222 1276 8.39E

‐ 08

‐ 16.2936 Wet 10100212 1647 1.99E-08



## ‐ 17.7325 Wet 10100212 1647 1.99E-08



## ‐ 17.7325 Wet 10100212 1648 1.79E-08



## ‐ 17.8385 Wet 10100212 1648 1.79E-08



## ‐ 17.8385 Wet 10100202 1972 1.98E-08



## ‐ 17.7376 Wet 10100202 1972 1.98E-08



## ‐ 17.7376 Wet 10100202 541 1.24E

‐ 07

‐ 15.903 Wet 10100202 541 1.24E

‐ 07

‐ 15.903 Wet 10100223 23151 8.50E-08



## ‐ 16.2806 Wet 10100223 23151 8.50E-08



## ‐ 16.2806 Wet 10100223 23152 1.07E-07



## ‐ 16.0504 Wet 10100223 23152 1.07E-07



## ‐ 16.0504 Wet 10100223 23153 2.95E-07



## ‐ 15.0363 Wet 10100223 23153 2.95E-07



## ‐ 15.0363 Wet 10100223 2315 2.40E-07



## ‐ 15.2426 Wet 10100223 2315 2.40E-07



## ‐ 15.2426 Wet 10100201 2319 7.36E

‐ 08

‐ 16.4246 Wet 10100201 2319 7.36E

‐ 08

‐ 16.4246 Wet 10100222 2259 8.75E-08



## ‐ 16.2516 Wet 10100222 2259 8.75E-08



## ‐ 16.2516 Wet 10100223 1307 2.22E-07



## ‐ 15.3206 Wet 10100223 1307 2.22E-07



## ‐ 15.3206 Wet 10100223 1327 1.18E-07



## ‐ 15.9526 Wet 10100223 1327 1.18E-07



## ‐ 15.9526 Wet 10100202 1515 2.28E

‐ 07

‐ 15.2939 Wet 10100202 1515 2.28E

‐ 07

‐ 15.2939 Wet 10100226 1558 5.71E

‐ 07

‐ 14.3759 Wet 10100226 1558 5.71E

‐ 07

‐ 14.3759 Wet 10100222 1841 9.80E-08



## ‐ 16.1383 FF 10100222 1841 9.80E-08



## ‐ 16.1383 FF 10100222 879456 2.73E

‐ 07

‐ 15.1138 FF 10100222 879456 2.73E

‐ 07

‐ 15.1138 FF 10100202 2095 1.52E-07



## ‐ 15.6994 FF 10100202 2095 1.52E-07



## ‐ 15.6994 FF 10100202 1597 1.93E-08



## ‐ 17.7632 FF 10100202 1597 1.93E-08



## ‐ 17.7632 FF 10100202 1606 3.62E-08



## ‐ 17.1342 FF 10100202 1606 3.62E-08



## ‐ 17.1342 FF 10100202 1244 4.90E-07



## ‐ 14.5281 FF 10100202 1244 4.90E-07



## ‐ 14.5281 FF 10100222 1832 1.54E-07



## ‐ 15.6863 FF 10100222 1832 1.54E-07



## ‐ 15.6863 FF 10100222 

## 1833 1.63E-07



## ‐ 15.6295 FF 10100222 

## 1833 1.63E-07



## ‐ 15.6295 FF 10100202 1189 6.75E-08



## ‐ 16.5111 FF 10100202 1189 6.75E-08



## ‐ 16.5111 FF 10100202 1190 2.28E-07



## ‐ 15.2939 FF 10100202 1190 2.28E-07



## ‐ 15.2939 FF 10100202 735 1.03E-07



## ‐ 16.0858 FF 10100202 735 1.03E-07



## ‐ 16.0858 FF 10100218 2088 1.62E

‐ 07

‐ 15.6357 FF 10100218 2088 1.62E

‐ 07

‐ 15.6357 FF 10100222 845 8.19E

‐ 08

‐ 16.3178 FF 10100222 845 8.19E

‐ 08

‐ 16.3178 FF 10100218 1310 1.69E

‐ 07

‐ 15.5934 FF 10100218 1310 1.69E

‐ 07

‐ 15.5934 FF 10100202 63254 4.44E-07



## ‐ 14.6274 FF 10100202 63254 4.44E-07



## ‐ 14.6274 FF 10100221 2170 4.17E

‐ 07

‐ 14.6905 FF 10100221 2170 4.17E

‐ 07

‐ 14.6905 FF 10100221 1835 4.80E

‐ 07

‐ 14.5489 FF 10100221 1835 4.80E

‐ 07

‐ 14.5489 FF 10100202 1654 1.49E

‐ 07

‐ 15.7193 FF 10100202 1654 1.49E

‐ 07

‐ 15.7193 FF 10100218 524 2.39E

‐ 07

‐ 15.2468 FF 10100218 524 2.39E

‐ 07

‐ 15.2468 FF 10100202 

## 734 5.50E-07



## ‐ 14.4134 FF 10100202 

## 734 5.50E-07



## ‐ 14.4134 FF 10100202 

## 736 7.42E-08



## ‐ 16.4166 FF 10100202 

## 736 7.42E-08



## ‐ 16.4166 FF 10100223 2009 5.57E-07



## ‐ 14.4007 ESP 10100226 1141 3.93E-07



## ‐ 14.7495 ESP 10100202 1154 1.70E-07



## ‐ 15.5875 ESP 10100212 1021 2.67E-07



## ‐ 15.1377 ESP 10100202 993 3.17E-07



## ‐ 14.9644 ESP

# Cadmium Test Data

SCC submittal ID lb/mmBtu O2 

## LN #/mmBtu Controlls SCC submittal ID lb/mmBtu O2 

## LN #/mmBtu Controlls 

# All Data FF, Dry Scrubbed & Wet Scrubbed

10100202 1902 1.39E-07



## ‐ 15.7888 ESP 10100204 1111 1.45E-06



## ‐ 13.4439 ESP 10100204 1113 1.55E-06



## ‐ 13.3773 ESP 10100222 21351 1.84E-07



## ‐ 15.5083 ESP 10100222 2135 5.99E-07



## ‐ 14.328 ESP 10100212 3197 8.56E-08



## ‐ 16.2736 ESP 10100202 975 4.06E-07



## ‐ 14.7169 ESP 10100202 1471 2.66E-07



## ‐ 15.1398 ESP 10100202 1845 1.03E-06



## ‐ 13.786 ESP 10100222 1854 8.72E-08



## ‐ 16.2551 ESP 10100202 1636 1.87E

‐ 07

‐ 15.4922 ESP 10100203 894 8.87E-08



## ‐ 16.238 ESP 10100222 2274 7.06E-07



## ‐ 14.1637 ESP 10100202 2276 2.90E-07



## ‐ 15.0534 ESP 10100223 2070 9.12E-08



## ‐ 16.2102 ESP 10100203 892 4.72E-07



## ‐ 14.5663 ESP 10100223 828 2.14E-07



## ‐ 15.3573 ESP 10100222 2013 4.17E

‐ 07

‐ 14.6902 ESP 10100222 2011 1.93E-07



## ‐ 15.4606 ESP 10100223 12861 2.40E-07



## ‐ 15.2426 ESP 10100202 1989 2.83E

‐ 07

‐ 15.0778 ESP 10100212 2103 2.94E

‐ 07

‐ 15.0397 ESP 10100202 2195 3.66E-07



## ‐ 14.8206 ESP 10100202 2161 3.49E-08



## ‐ 17.1708 ESP 10100211 1642 2.63E

‐ 07

‐ 15.1511 ESP 10100203 1809 9.54E-07



## ‐ 13.8626 ESP 10100202 979 7.93E-08



## ‐ 16.35 ESP 10100201 902 4.93E-07



## ‐ 14.5228 ESP 10100201 903 1.36E-06



## ‐ 13.508 ESP 10100202 1004 1.19E-07



## ‐ 15.9441 ESP 10100212 2279 1.70E-08



## ‐ 17.8916 ESP 10100212 22791 6.95E-08



## ‐ 16.4823 ESP 10100226 2278 7.72E-07



## ‐ 14.0743 ESP 10100202 10040002 7.60E-08



## ‐ 16.3925 ESP 10100223 2302 1.85E

‐ 07

‐ 15.5029 ESP 10100222 10040004 7.84E

‐ 08

‐ 16.3614 ESP 10100202 1906 3.45E

‐ 07

‐ 14.8797 ESP 10100212 

## 632 3.69E-07



## ‐ 14.8125 ESP 10100212 731 2.13E

‐ 07

‐ 15.3625 ESPFrom File C:\Docume nts and Set tings\All Us ers\Desktop \EPA_Data Systems\Ut ility_Boiler_ EF-Data\_E Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -15.73 1.025 -13.26 27 2.408 2.97 3.3 2 -15.8 0.96 -13.91 18 1.966 2.95 3.29 3 -15.86 0.912 -14.02 25 2.01 2.94 3.27 4 -15.92 0.863 -14.04 3 2.171 2.91 3.25 5 -15.98 0.803 -17.51 17 1.907 2.91 3.24
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -15.21 0.972 -17.89 36 2.762 3.08 3.43 2 -15.15 0.902 -17.17 29 2.245 3.07 3.41 3 -15.1 0.855 -13.38 8 2.011 3.06 3.4 4 -15.14 0.821 -13.44 7 2.065 3.05 3.39 5 -15.18 0.785 -13.51 34 2.133 3.04 3.38
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Number of d ata = 2110% critical value: 0.39 1 5% critical v alue: 0.44 1% critical v alue: 0.524

Test Statist ic: 0.065
For 10% sig nificance le vel, -14.413 42565 is no t an outlier. For 5% sign ificance lev el, -14.4134 2565 is not an outlier. For 1% sign ificance lev el, -14.4134 2565 is not an outlier.

Test Statist ic: 0.390
For 10% sig nificance le vel, -17.763 16074 is no t an outlier. For 5% sign ificance lev el, -17.7631 6074 is not an outlier. For 1% sign ificance lev el, -17.7631 6074 is not an outlier.

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -15.86 0.883 -17.84 24 2.247 2.99 3.33 2 -15.8 0.84 -17.74 25 2.308 2.98 3.32 3 -15.74 0.781 -17.73 23 2.549 2.97 3.3 4 -15.68 0.708 -14.38 36 1.844 2.95 3.29 5 -15.72 0.679 -16.95 4 1.802 2.94 3.27
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierFrom File C:\Docume nts and Set tings\All Us ers\Desktop \EPA_Data Systems\Ut ility_Boiler_ EF-Data\_E F_Analysis\ Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 44 21 Number of D istinct Obs ervations 44 21

Minimum 1.7000E-8 1.9300E-8 M aximum 1.5500E-6 5.5000E-7 Mean 3.8115E-7 2.1667E-7 Median 2.6650E-7 1.6200E-7 SD 3.7399E-7 1.6292E-7 SE

of Mean 5.6381E-8 3.5552E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 63 1.924 1.669 0.029 Welch-Satte rthwaite (U nequal Varia 62.7 2.468 1.669 0.008 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 1.399E-13 Var iance of Ba ckground 2.654E-14

Numera tor DF Denomin ator DF F-Test Value P-Value 4 3 2 0 5.2 70 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Set tings\All Us ers\Desktop \EPA_Data Systems\Ut ility_Boiler_ EF-Data\_E F_Analysis\ Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 21 34 Number of D istinct Obs ervations 21 33

Minimum 1.9300E-8 2.4800E-8 M aximum 5.5000E-7 1.7500E-6 Mean 2.1667E-7 2.6189E-7 Median 1.6200E-7 1.1600E-7 SD 1.6292E-7 3.4818E-7 SE

of Mean 3.5552E-8 5.9713E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 53 -0.557 1.674 0.710 Welch-Satte rthwaite (U nequal Varia 50.1 -0.651 1.676 0.741 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 2.654E-14 Var iance of Ba ckground 1.212E-13

Numera tor DF Denomin ator DF F-Test Value P-Value 3 3 2 0 4.5 68 0.001 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Set tings\All Us ers\Desktop \EPA_Data Systems\Ut ility_Boiler_ EF-Data\_E F_Analysis\ Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 34 21 Number of D istinct Obs ervations 33 21

Minimum 2.4800E-8 1.9300E-8 M aximum 1.7500E-6 5.5000E-7 Mean 2.6189E-7 2.1667E-7 Median 1.1600E-7 1.6200E-7 SD 3.4818E-7 1.6292E-7 SE

of Mean 5.9713E-8 3.5552E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 53 0.557 1.674 0.290 Welch-Satte rthwaite (U nequal Varia 50.1 0.651 1.676 0.259 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 1.212E-13 Var iance of Ba ckground 2.654E-14

Numera tor DF Denomin ator DF F-Test Value P-Value 3 3 2 0 4.5 68 0.001 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Set tings\All Us ers\Desktop \EPA_Data Systems\Ut ility_Boiler_ EF-Data\_E F_Analysis\ Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 21 36 Number of D istinct Obs ervations 21 34

Minimum 1.9300E-8 1.7900E-8 M aximum 5.5000E-7 5.7100E-7 Mean 2.1667E-7 1.8154E-7 Median 1.6200E-7 1.2650E-7 SD 1.6292E-7 1.4249E-7 SE

of Mean 3.5552E-8 2.3749E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 55 0.852 1.673 0.199 Welch-Satte rthwaite (U nequal Varia 37.6 0.822 1.686 0.208 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 2.654E-14 Var iance of Ba ckground 2.030E-14

Numera tor DF Denomin ator DF F-Test Value P-Value 2 0 35 1.3 07 0.476 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Set tings\All Us ers\Desktop \EPA_Data Systems\Ut ility_Boiler_ EF-Data\_E F_Analysis\ Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 36 21 Number of D istinct Obs ervations 34 21

Minimum 1.7900E-8 1.9300E-8 M aximum 5.7100E-7 5.5000E-7 Mean 1.8154E-7 2.1667E-7 Median 1.2650E-7 1.6200E-7 SD 1.4249E-7 1.6292E-7 SE

of Mean 2.3749E-8 3.5552E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 55 -0.852 1.673 0.801 Welch-Satte rthwaite (U nequal Varia 37.6 -0.822 1.686 0.792 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 2.030E-14 Var iance of Ba ckground 2.654E-14

Numera tor DF Denomin ator DF F-Test Value P-Value 2 0 35 1.3 07 0.476 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Set tings\All Us ers\Desktop \EPA_Data Systems\Ut ility_Boiler_ EF-Data\_E F_Analysis\ Full Precision OFF C onfidence C oefficient 0.95

Numbe r of Valid Ob servations 34 Number o f Distinct Ob servations 33

Minimum 2.4800E-8 Maximum 1.7500E-6 Mean o f Raw Data 2.6189E-7 Standard Deviation o f Raw Data 3.4818E-7 Kstar 0.942 Mean of Log Transfo rmed Data -15.73 Standard D eviation of Log Transfo rmed Data 1.041

C orrelation Co efficient R 0.793 Sha piro Wilk Te st Statistic 0.651 Shapiro W ilk Critical (0 .95) Value 0.933 Approximat e Shapiro W ilk P Value 3.1322E-9 Lilliefors Te st Statistic 0.251 Lilliefo rs Critical (0 .95) Value 0.152

C orrelation Co efficient R 0.961 A-D Te st Statistic 1.155 A -D Critical (0 .95) Value 0.775 K-S Te st Statistic 0.171 K -S Critical(0 .95) Value 0.155

C orrelation Co efficient R 0.988 Sha piro Wilk Te st Statistic 0.969 Shapiro W ilk Critical (0 .95) Value 0.933 Approximat e Shapiro W ilk P Value 0.51 Lilliefors Te st Statistic 0.119 Lilliefo rs Critical (0 .95) Value 0.152

Numbe r of Valid Ob servations 44Number o f Distinct Ob servations 44

Minimum 1.7000E-8 Maximum 1.5500E-6 Mean o f Raw Data 3.8115E-7 Standard Deviation o f Raw Data 3.7399E-7 Kstar 1.237 Mean of Log Transfo rmed Data -15.21 Standard D eviation of Log Transfo rmed Data 0.983

C orrelation Co efficient R 0.881 Sha piro Wilk Te st Statistic 0.775 Shapiro W ilk Critical (0 .95) Value 0.944 Approximat e Shapiro W ilk P Value 2.0402E-8 Lilliefors Te st Statistic 0.212 Lilliefo rs Critical (0 .95) Value 0.134

C orrelation Co efficient R 0.981 A-D Te st Statistic 0.513 A -D Critical (0 .95) Value 0.771 K-S Te st Statistic 0.0957 K -S Critical(0 .95) Value 0.136

C orrelation Co efficient R 0.989 Sha piro Wilk Te st Statistic 0.976 Shapiro W ilk Critical (0 .95) Value 0.944 Approximat e Shapiro W ilk P Value 0.641 Lilliefors Te st Statistic 0.0844 Lilliefo rs Critical (0 .95) Value 0.134

Numbe r of Valid Ob servations 21 Number o f Distinct Ob servations 21

Minimum 1.9300E-8 Maximum 5.5000E-7 Mean o f Raw Data 2.1667E-7 Standard Deviation o f Raw Data 1.6292E-7 Kstar 1.532 Mean of Log Transfo rmed Data -15.66 Standard D eviation of Log Transfo rmed Data 0.878C orrelation Co efficient R 0.939 Sha piro Wilk Te st Statistic 0.873 Shapiro W ilk Critical (0 .95) Value 0.908 Approximat e Shapiro W ilk P Value 0.00906 Lilliefors Te st Statistic 0.234 Lilliefo rs Critical (0 .95) Value 0.193

C orrelation Co efficient R 0.965 A-D Te st Statistic 0.362 A -D Critical (0 .95) Value 0.756 K-S Te st Statistic 0.142 K -S Critical(0 .95) Value 0.192

C orrelation Co efficient R 0.976 Sha piro Wilk Te st Statistic 0.95 Shapiro W ilk Critical (0 .95) Value 0.908 Approximat e Shapiro W ilk P Value 0.341 Lilliefors Te st Statistic 0.138 Lilliefo rs Critical (0 .95) Value 0.193

Numbe r of Valid Ob servations 36 Number o f Distinct Ob servations 34

Minimum 1.7900E-8 Maximum 5.7100E-7 Mean o f Raw Data 1.8154E-7 Standard Deviation o f Raw Data 1.4249E-7 Kstar 1.527 Mean of Log Transfo rmed Data -15.86 Standard D eviation of Log Transfo rmed Data 0.895

C orrelation Co efficient R 0.942 Sha piro Wilk Te st Statistic 0.88 Shapiro W ilk Critical (0 .95) Value 0.935 Approximat e Shapiro W ilk P Value 7.7296E-4 Lilliefors Te st Statistic 0.172 Lilliefo rs Critical (0 .95) Value 0.148

C orrelation Co efficient R 0.991A-D Te st Statistic 0.235 A -D Critical (0 .95) Value 0.764 K-S Te st Statistic 0.0857 K -S Critical(0 .95) Value 0.149

C orrelation Co efficient R 0.984 Sha piro Wilk Te st Statistic 0.956 Shapiro W ilk Critical (0 .95) Value 0.935 Approximat e Shapiro W ilk P Value 0.218 Lilliefors Te st Statistic 0.0861 Lilliefo rs Critical (0 .95) Value 0.148lb/mmB tuO2 (dry) 34 2.4800E-8 1.7500E-6 2.6189E-7 1.1600E-7 1.212E-13 3.4818E-7 1.0267E-7 2.871 9.761 N/A lb/mmB tuO2 (esp) 44 1.7000E-8 1.5500E-6 3.8115E-7 2.6650E-7 1.399E-13 3.7399E-7 2.2090E-7 1.832 2.967 N/A lb/mm BtuO2 (ff) 21 1.9300E-8 5.5000E-7 2.1667E-7 1.6200E-7 2.654E-14 1.6292E-7 1.1875E-7 0.883 -0.509 N/A lb/mmB tuO2 (wet) 36 1.7900E-8 5.7100E-7 1.8154E-7 1.2650E-7 2.030E-14 1.4249E-7 1.1238E-7 1.149 0.729 N/A

lb/mmB tuO2 (dry) 34 3.0875E-8 4.8720E-8 6.5880E-8 7.3375E-8 1.1600E-7 3.0800E-7 3.5500E-7 7.0020E-7 8.4460E-7 1.4718E-6 lb/mmB tuO2 (esp) 44 7.0475E-8 7.8670E-8 9.0200E-8 1.3400E-7 2.6650E-7 4.3075E-7 5.1860E-7 8.9940E-7 1.3105E-6 1.5070E-6 lb/mm BtuO2 (ff) 21 3.6200E-8 6.7500E-8 8.1900E-8 9.8000E-8 1.6200E-7 2.7300E-7 4.1700E-7 4.8000E-7 4.9000E-7 5.3800E-7 lb/mmB tuO2 (wet) 36 1.9875E-8 4.6400E-8 7.3600E-8 8.2525E-8 1.2650E-7 2.4575E-7 2.9500E-7 3.6900E-7 4.8900E-7 5.4230E-7trim lb /mmBtuO2 91 1.7900E-8 1.7500E-6 2.1967E-7 1.4600E-7 5.950E-14 2.4393E-7 1.2157E-7 3.416 17.11 N/A

trim lb /mmBtuO2 91 2.6050E-8 4.6500E-8 7.1800E-8 7.8500E-8 1.4600E-7 2.6200E-7 3.2800E-7 4.8000E-7 5.6050E-7 9.9130E-7

# Coal Fired Utility Boiler Chromium Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information Collection Request (ICR) were evaluated for the development of national emissions factors. The procedures employed are as described in the draft Emissions Factors Procedures Document. The data used for the development of the Chromium Emissions Factor are presented on the following page with two sets of columns for all of the test data. The left set of columns present all the data while the right set of columns does not include data identified as a potential outliers. Each set of columns includes the Submission ID for each test data, the site specific emissions factor as determined using the f factor method, the type of control (ESP only, Fabric Filter only, Dry Scrubbing with either ESP or Fabric Filter and Wet Scrubbing with either ESP or Fabric Filter) and the natural log of the site specific emissions factor. Subsequent pages provide the assessments as performed using EPA’s statistical software ProUCL. The assessments provide support for the development of national emissions factors for the ESPs and Fabric Filters combined, Dry Scrubbing and Wet Scrubbing controls. A single emissions factor was developed for ESP and Fabric Filter controlled sources since there was no statistical difference in the means of the two categories. Separate emissions factors were developed for Dry Scrubbing and Wet Scrubbing controls since there is a statistical difference between them and the combined ESP and Fabric Filter data, and there is a statistical difference between them.
The resulting calculated chromium emissions factors are: Emissions Factor lb/mmBtu Number of Supporting Tests Quality Indicator ESP and Fabric filter controls 4.89 x 10 ‐ 5 

## 65 Highly Representative
Dry Scrubbing controls 1.53 x 10 ‐ 6 

## 31 Highly Representative Wet Scrubbing controls 4.75 x 10 ‐ 6 

## 35 Highly Representative

## Utility Boiler Method 29 Chromium submittal_id 'lb/mmBtuO2' 

### Control LN #/mmBtu submittal_id 'lb/mmBtuO2' 

### Control LN #/mmBtu 1189 1.98E-07 

### Fabric Filter

‐ 15.43499881 1189 1.98E-07 

### PM Control

‐ 15.43499881 1190 7.52E-07 

### Fabric Filter

‐ 14.10052951 1190 7.52E-07 

### PM Control

‐ 14.10052951 63254 3.84E-06 

### Fabric Filter

‐ 12.47003819 63254 3.84E-06 

### PM Control

‐ 12.47003819

1244 2.89E-04 

### Fabric Filter

‐ 8.149613899 1244 2.89E-04 

### PM Control

‐ 8.149613899

735 5.17E-04 

### Fabric Filter

‐ 7.566741066 735 5.17E-04 

### PM Control

‐ 7.566741066 734 1.50E-04 

### Fabric Filter

‐ 8.805379551 734 1.50E-04 

### PM Control

‐ 8.805379551 736 1.91E-04 

### Fabric Filter

‐ 8.565455871 736 1.91E-04 

### PM Control

‐ 8.565455871 1597 5.71E-07 

### Fabric Filter

‐ 14.37587663 1597 5.71E-07 

### PM Control

‐ 14.37587663 1606 8.96E-06 

### Fabric Filter

‐ 11.62274033 1606 8.96E-06 

### PM Control

‐ 11.62274033 1654 1.26E

‐ 06 Fabric Filter

‐ 13.58439884 1654 1.26E

‐ 06 PM Control

‐ 13.58439884 2095 7.04E-07 

### Fabric Filter

‐ 14.16648748 2095 7.04E-07 

### PM Control

‐ 14.16648748 1310 4.99E

‐ 05 Fabric Filter

‐ 9.905489555 1310 4.99E

‐ 05 PM Control

‐ 9.905489555

524 1.57E

‐ 06 Fabric Filter

‐ 13.36443494 524 1.57E

‐ 06 PM Control

‐ 13.36443494 2088 3.11E

‐ 06 Fabric Filter

‐ 12.68088783 2088 3.11E

‐ 06 PM Control

‐ 12.68088783 2170 1.77E

‐ 07 Fabric Filter

‐ 15.54935745 2170 1.77E

‐ 07 PM Control

‐ 15.54935745 1835 4.17E

‐ 07 Fabric Filter

‐ 14.68913805 1835 4.17E

‐ 07 PM Control

‐ 14.68913805 1832 4.55E-07 

### Fabric Filter

‐ 14.60296842 1832 4.55E-07 

### PM Control

‐ 14.60296842 1833 5.68E-07 

### Fabric Filter

‐ 14.38114442 1833 5.68E-07 

### PM Control

‐ 14.38114442

845 1.16E

‐ 06 Fabric Filter

‐ 13.66709055 845 1.16E

‐ 06 PM Control

‐ 13.66709055 560 1.09E-06 

### Dry Scrubber

‐ 13.72933286 560 1.09E-06 

### Dry Scrubber

‐ 13.72933286 1507 1.66E

‐ 07 Dry Scrubber

‐ 15.61127805 1507 1.66E

‐ 07 Dry Scrubber

‐ 15.61127805 8761 2.48E-06 

### Dry Scrubber

‐ 12.907252 8761 2.48E-06 

### Dry Scrubber

‐ 12.907252 8761 2.08E-06 

### Dry Scrubber

‐ 13.08314266 8761 2.08E-06 

### Dry Scrubber

‐ 13.08314266 1611 2.51E-07 

### Dry Scrubber

‐ 15.1978129 1611 2.51E-07 

### Dry Scrubber

‐ 15.1978129 1563 3.78E-06 

### Dry Scrubber

‐ 12.48578655 1563 3.78E-06 

### Dry Scrubber

‐ 12.48578655

947 2.90E

‐ 07 Dry Scrubber

‐ 15.05338491 947 2.90E

‐ 07 Dry Scrubber

‐ 15.05338491 1249 8.23E

‐ 07 Dry Scrubber

‐ 14.01030964 1249 8.23E

‐ 07 Dry Scrubber

‐ 14.01030964 1133 5.45E

‐ 07 Dry Scrubber

‐ 14.42286941 1133 5.45E

‐ 07 Dry Scrubber

‐ 14.42286941 1129 2.87E

‐ 07 Dry Scrubber

‐ 15.0652296 1129 2.87E

‐ 07 Dry Scrubber

‐ 15.0652296 1942 1.47E

‐ 06 Dry Scrubber

‐ 13.43024816 1942 1.47E

‐ 06 Dry Scrubber

‐ 13.43024816

698 4.00E

‐ 05 Dry Scrubber

‐ 10.1266311 2021 7.52E

‐ 06 Dry Scrubber

‐ 11.79794442 2022 2.40E

‐ 04 Dry Scrubber

‐ 8.334871635 1488 4.40E

‐ 07 Dry Scrubber

‐ 14.63649111 2021 7.52E

‐ 06 Dry Scrubber

‐ 11.79794442 1909 1.40E

‐ 07 Dry Scrubber

‐ 15.78162341 1488 4.40E

‐ 07 Dry Scrubber

‐ 14.63649111 1052 2.27E

‐ 06 Dry Scrubber

‐ 12.99573073 1909 1.40E

‐ 07 Dry Scrubber

‐ 15.78162341 1346 1.02E

‐ 06 Dry Scrubber

‐ 13.79570793 1052 2.27E

‐ 06 Dry Scrubber

‐ 12.99573073 13461 9.97E

‐ 07 Dry Scrubber

‐ 13.81851507 1346 1.02E

‐ 06 Dry Scrubber

‐ 13.79570793 134611 1.86E

‐ 06 Dry Scrubber

‐ 13.19493407 13461 9.97E

‐ 07 Dry Scrubber

‐ 13.81851507 1346111 1.22E

‐ 06 Dry Scrubber

‐ 13.6166597 134611 1.86E

‐ 06 Dry Scrubber

‐ 13.19493407 1349 1.51E

‐ 06 Dry Scrubber

‐ 13.40340091 1346111 1.22E

‐ 06 Dry Scrubber

‐ 13.6166597 565 1.80E-06 

### Dry Scrubber

‐ 13.22772389 1349 1.51E

‐ 06 Dry Scrubber

‐ 13.40340091 1563 9.49E-07 

### Dry Scrubber

‐ 13.86785704

565 1.80E-06 

### Dry Scrubber

‐ 13.22772389 1563 1.51E-06 

### Dry Scrubber

‐ 13.40340091 1563 9.49E-07 

### Dry Scrubber

‐ 13.86785704 1449 1.50E-06 

### Dry Scrubber

‐ 13.41004545 1563 1.51E-06 

### Dry Scrubber

‐ 13.40340091 2206 3.81E

‐ 06 Dry Scrubber

‐ 12.47788137 1449 1.50E-06 

### Dry Scrubber

‐ 13.41004545 1568 2.43E

‐ 06 Dry Scrubber

‐ 12.9276193 2206 3.81E

‐ 06 Dry Scrubber

‐ 12.47788137 1398 1.24E-06 

### Dry Scrubber

‐ 13.60039918 1568 2.43E

‐ 06 Dry Scrubber

‐ 12.9276193 1841 2.19E-06 

### PM Control

‐ 13.03160901 1398 1.24E-06 

### Dry Scrubber

‐ 13.60039918 879456 3.43E

‐ 05 PM Control

‐ 10.2803652 1841 2.19E-06 

### Fabric Filter

‐ 13.03160901 1726 3.22E-07 

### Dry Scrubber

‐ 14.94871429 879456 3.43E

‐ 05 Fabric Filter

‐ 10.2803652 1938 2.19E-06 

### Dry Scrubber

‐ 13.03160901

1726 3.22E-07 

### Dry Scrubber

‐ 14.94871429 2319 2.26E

‐ 06 Wet Scrubber

‐ 13.00014574 1938 2.19E-06 

### Dry Scrubber

‐ 13.03160901 1515 2.60E

‐ 07 Wet Scrubber

‐ 15.16258421 2319 2.26E

‐ 06 Wet Scrubber

‐ 13.00014574 1972 2.76E-07 

### Wet Scrubber

‐ 15.10286497 1515 2.60E

‐ 07 Wet Scrubber

‐ 15.16258421 541 5.69E

‐ 05 Wet Scrubber

‐ 9.774215217 1972 2.76E-07 

### Wet Scrubber

‐ 15.10286497 1647 1.36E-07 

### Wet Scrubber

‐ 15.81061095

541 5.69E

‐ 05 Wet Scrubber

‐ 9.774215217 1648 5.14E-07 

### Wet Scrubber

‐ 14.48104257

## Utility Boiler Method 29 Chromium submittal_id 'lb/mmBtuO2' 

### Control LN #/mmBtu submittal_id 'lb/mmBtuO2' 

### Control LN #/mmBtu 1647 1.36E-07 

### Wet Scrubber

‐ 15.81061095 2259 6.89E-07 

### Wet Scrubber

‐ 14.18802457 1648 5.14E-07 

### Wet Scrubber

‐ 14.48104257 2315 3.73E-06 

### Wet Scrubber

‐ 12.49910232 2259 6.89E-07 

### Wet Scrubber

‐ 14.18802457 23151 1.48E-06 

### Wet Scrubber

‐ 13.42346847 2315 3.73E-06 

### Wet Scrubber

‐ 12.49910232 23152 1.14E-06 

### Wet Scrubber

‐ 13.6844823 23151 1.48E-06 

### Wet Scrubber

‐ 13.42346847 23153 3.72E-06 

### Wet Scrubber

‐ 12.50178689 23152 1.14E-06 

### Wet Scrubber

‐ 13.6844823 1327 1.50E-06 

### Wet Scrubber

‐ 13.41004545 23153 3.72E-06 

### Wet Scrubber

‐ 12.50178689 1176 4.62E-06 

### Wet Scrubber

‐ 12.28511585

1307 2.08E-04 

### Wet Scrubber

‐ 8.477972478 902 5.07E-06 

### PM Control

‐ 12.19216974 1327 1.50E-06 

### Wet Scrubber

‐ 13.41004545 903 1.57E-05 

### PM Control

‐ 11.06184985 1176 4.62E-06 

### Wet Scrubber

‐ 12.28511585 2276 1.62E-04 

### PM Control

‐ 8.727914223

902 5.07E-06 

### ESP

‐ 12.19216974 975 2.36E-05 

### PM Control

‐ 10.65426385 903 1.57E-05 

### ESP

‐ 11.06184985 1154 2.04E-06 

### PM Control

‐ 13.10256075 2276 1.62E-04 

### ESP

‐ 8.727914223 1845 1.33E-04 

### PM Control

‐ 8.92516143

975 2.36E-05 

### ESP

‐ 10.65426385 1636 1.10E

‐ 05 PM Control

‐ 11.41761529 1154 2.04E-06 

### ESP

‐ 13.10256075 1989 4.00E

‐ 06 PM Control

‐ 12.4292162 1845 1.33E-04 

### ESP

‐ 8.92516143 993 1.06E-05 

### PM Control

‐ 11.45465656 1636 1.10E

‐ 05 ESP

‐ 11.41761529 2195 8.82E-06 

### PM Control

‐ 11.63848869 1989 4.00E

‐ 06 ESP

‐ 12.4292162 2161 4.91E-07 

### PM Control

‐ 14.52682171

993 1.06E-05 

### ESP

‐ 11.45465656 979 5.84E-06 

### PM Control

‐ 12.05077976 2195 8.82E-06 

### ESP

‐ 11.63848869 1004 3.29E-06 

### PM Control

‐ 12.62462299 2161 4.91E-07 

### ESP

‐ 14.52682171 1471 1.75E-06 

### PM Control

‐ 13.25589477

979 5.84E-06 

### ESP

‐ 12.05077976 10040002 2.91E-06 

### PM Control

‐ 12.74735748 1004 3.29E-06 

### ESP

‐ 12.62462299 1902 1.35E-06 

### PM Control

‐ 13.51540597 1471 1.75E-06 

### ESP

‐ 13.25589477 1906 5.97E

‐ 06 PM Control

‐ 12.02876363 10040002 2.91E-06 

### ESP

‐ 12.74735748 894 2.05E-06 

### PM Control

‐ 13.09767076 1902 1.35E-06 

### ESP

‐ 13.51540597 892 1.13E-05 

### PM Control

‐ 11.39070783 1906 5.97E

‐ 06 ESP

‐ 12.02876363 1809 1.81E-05 

### PM Control

‐ 10.91959862

894 2.05E-06 

### ESP

‐ 13.09767076 1111 1.25E-04 

### PM Control

‐ 8.987196821 892 1.13E-05 

### ESP

‐ 11.39070783 1113 1.51E-05 

### PM Control

‐ 11.10081581 1809 1.81E-05 

### ESP

‐ 10.91959862 1642 1.80E

‐ 06 PM Control

‐ 13.22772389 1111 1.25E-04 

### ESP

‐ 8.987196821 3197 1.68E-06 

### PM Control

‐ 13.29671676 1113 1.51E-05 

### ESP

‐ 11.10081581 632 2.81E-06 

### PM Control

‐ 12.78232607 1642 1.80E

‐ 06 ESP

‐ 13.22772389 2103 6.78E

‐ 07 PM Control

‐ 14.20411855 3197 1.68E-06 

### ESP

‐ 13.29671676 2279 2.61E-06 

### PM Control

‐ 12.85643668

632 2.81E-06 

### ESP

‐ 12.78232607 22791 7.85E-06 

### PM Control

‐ 11.75542262 2103 6.78E

‐ 07 ESP

‐ 14.20411855 1021 5.70E-07 

### PM Control

‐ 14.37712454 2279 2.61E-06 

### ESP

‐ 12.85643668 731 1.04E

‐ 05 PM Control

‐ 11.47092113 22791 7.85E-06 

### ESP

‐ 11.75542262 2274 1.61E-05 

### PM Control

‐ 11.03669129

1021 5.70E-07 

### ESP

‐ 14.37712454 2013 4.78E

‐ 06 PM Control

‐ 12.25107001

731 1.04E

‐ 05 ESP

‐ 11.47092113 2011 3.25E-06 

### PM Control

‐ 12.63685556 2274 1.61E-05 

### ESP

‐ 11.03669129 1854 1.54E-06 

### PM Control

‐ 13.38372814 2013 4.78E

‐ 06 ESP

‐ 12.25107001 2135 1.56E-04 

### PM Control

‐ 8.765654551 2011 3.25E-06 

### ESP

‐ 12.63685556 21351 8.35E-04 

### PM Control

‐ 7.088078833 1854 1.54E-06 

### ESP

‐ 13.38372814 10040004 2.18E

‐ 06 PM Control

‐ 13.03618568 2135 1.56E-04 

### ESP

‐ 8.765654551 2009 4.81E-06 

### PM Control

‐ 12.24481347 21351 8.35E-04 

### ESP

‐ 7.088078833 12861 3.14E-06 

### PM Control

‐ 12.67128776 10040004 2.18E

‐ 06 ESP

‐ 13.03618568 828 2.20E-05 

### PM Control

‐ 10.7244681 2009 4.81E-06 

### ESP

‐ 12.24481347 2070 1.03E-06 

### PM Control

‐ 13.78595176 12861 3.14E-06 

### ESP

‐ 12.67128776 2302 3.32E

‐ 06 PM Control

‐ 12.61554578

828 2.20E-05 

### ESP

‐ 10.7244681 1141 4.46E-06 

### PM Control

‐ 12.32036179 2070 1.03E-06 

### ESP

‐ 13.78595176 2278 2.65E-04 

### PM Control

‐ 8.235780732 2302 3.32E

‐ 06 ESP

‐ 12.61554578 1735 1.18E

‐ 06 Dry Scrubber

‐ 13.64746925 1141 4.46E-06 

### ESP

‐ 12.32036179 1734 4.76E

‐ 07 Dry Scrubber

‐ 14.55780823 2278 2.65E-04 

### ESP

‐ 8.235780732 1558 4.23E

‐ 06 Wet Scrubber

‐ 12.37330856 550002 8.67E-04 

### Dry Scrubber

‐ 7.050471581 1117 9.62E-06 

### Wet Scrubber

‐ 11.55166629

1735 1.18E

‐ 06 Dry Scrubber

‐ 13.64746925 1118 5.86E-06 

### Wet Scrubber

‐ 12.04736095

## Utility Boiler Method 29 Chromium submittal_id 'lb/mmBtuO2' 

### Control LN #/mmBtu submittal_id 'lb/mmBtuO2' 

### Control LN #/mmBtu 1734 4.76E

‐ 07 Dry Scrubber

‐ 14.55780823 1119 6.75E

‐ 06 Wet Scrubber

‐ 11.90596805 1558 4.23E

‐ 06 Wet Scrubber

‐ 12.37330856 1117 9.62E-06 

### Wet Scrubber

‐ 11.55166629 1117 9.62E-06 

### Wet Scrubber

‐ 11.55166629 1826 7.10E-07 

### Wet Scrubber

‐ 14.15800087 1118 5.86E-06 

### Wet Scrubber

‐ 12.04736095 18261 1.67E-06 

### Wet Scrubber

‐ 13.30268693 1119 6.75E

‐ 06 Wet Scrubber

‐ 11.90596805 1330 2.14E-06 

### Wet Scrubber

‐ 13.05470473 1117 9.62E-06 

### Wet Scrubber

‐ 11.55166629 1915 5.21E-07 

### Wet Scrubber

‐ 14.4675158 1826 7.10E-07 

### Wet Scrubber

‐ 14.15800087 1738 1.14E

‐ 05 Wet Scrubber

‐ 11.3818972 18261 1.67E-06 

### Wet Scrubber

‐ 13.30268693 1743 1.40E

‐ 06 Wet Scrubber

‐ 13.47903832

1330 2.14E-06 

### Wet Scrubber

‐ 13.05470473 966 8.65E

‐ 06 Wet Scrubber

‐ 11.65795124 1915 5.21E-07 

### Wet Scrubber

‐ 14.4675158 1185 3.60E-06 

### Wet Scrubber

‐ 12.53457671 1738 1.14E

‐ 05 Wet Scrubber

‐ 11.3818972 1187 1.54E-06 

### Wet Scrubber

‐ 13.38372814 1743 1.40E

‐ 06 Wet Scrubber

‐ 13.47903832 2239 8.88E-07 

### Wet Scrubber

‐ 13.93429409

966 8.65E

‐ 06 Wet Scrubber

‐ 11.65795124 2055 5.82E-06 

### Wet Scrubber

‐ 12.0542103 1185 3.60E-06 

### Wet Scrubber

‐ 12.53457671 1637 8.89E

‐ 07 Wet Scrubber

‐ 13.9331686 1187 1.54E-06 

### Wet Scrubber

‐ 13.38372814 1638 9.02E

‐ 07 Wet Scrubber

‐ 13.91891379 2239 8.88E-07 

### Wet Scrubber

‐ 13.93429409 900 3.49E

‐ 06 Wet Scrubber

‐ 12.56560882 2055 5.82E-06 

### Wet Scrubber

‐ 12.0542103 1177 5.29E-06 

### Wet Scrubber

‐ 12.14969231 1637 8.89E

‐ 07 Wet Scrubber

‐ 13.9331686 1120 3.58E-06 

### Wet Scrubber

‐ 12.54014776 1638 9.02E

‐ 07 Wet Scrubber

‐ 13.91891379 1276 4.23E

‐ 07 Wet Scrubber

‐ 14.67589366

900 3.49E

‐ 06 Wet Scrubber

‐ 12.56560882 1177 5.29E-06 

### Wet Scrubber

‐ 12.14969231 1120 3.58E-06 

### Wet Scrubber

‐ 12.54014776 1276 4.23E

‐ 07 Wet Scrubber

‐ 14.67589366From File C:\Docume nts and Sett ings\All Use rs\Desktop\ EPA_Data Systems\Uti lity_Boiler_A ssess\Coa Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -13.31 1.786 -7.05 32 3.507 2.97 3.3 2 -13.5 1.458 -8.335 13 3.545 2.95 3.29 3 -13.66 1.142 -10.13 12 3.097 2.94 3.27 4 -13.78 0.958 -15.78 16 2.09 2.91 3.25 5 -13.71 0.898 -11.8 14 2.131 2.91 3.24
For 5% sign ificance lev el, there are 3 Potential Outliers Therefore, P otential Sta tistical Outl iers are -7.05, -8.33 5, -10.13
For 1% Sign ificance Le vel, there ar e 2 Potentia l Outliers Therefore, P otential Sta tistical Outl iers are -7.05, -8.33 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -11.88 1.669 -7.088 36 2.87 3.08 3.43 2 -11.99 1.536 -8.236 44 2.443 3.07 3.41 3 -12.08 1.437 -8.728 3 2.331 3.06 3.4 4 -12.16 1.353 -8.766 35 2.51 3.05 3.39 5 -12.24 1.254 -8.925 6 2.647 3.04 3.38
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierNumber of d ata = 21 10% critical value: 0.39 1 5% critical v alue: 0.44 1% critical v alue: 0.524

Test Statist ic: 0.140
For 10% sig nificance le vel, -7.5667 41066 is no t an outlier. For 5% sign ificance lev el, -7.56674 1066 is not an outlier. For 1% sign ificance lev el, -7.56674 1066 is not an outlier.

Test Statist ic: 0.123
For 10% sig nificance le vel, -15.549 35745 is no t an outlier. For 5% sign ificance lev el, -15.5493 5745 is not an outlier. For 1% sign ificance lev el, -15.5493 5745 is not an outlier.

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -12.96 1.452 -8.478 12 3.084 2.99 3.33 2 -13.08 1.275 -9.774 4 2.595 2.98 3.32 3 -13.18 1.155 -15.81 5 2.276 2.97 3.3 4 -13.1 1.074 -15.16 2 1.919 2.95 3.29 5 -13.04 1.024 -15.1 3 2.017 2.94 3.27
For 5% Sign ificance Le vel, there is 1 Potential O utlier Therefore, O bservation -8.478 is a Potential Sta tistical Outl ier
For 1% Sign ificance Le vel, there is no Potentia l OutlierFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 21 44 Number of D istinct Obs ervations 21 44

Minimum 1.7700E-7 4.9100E-7 M aximum 5.1700E-4 8.3500E-4 Mean 5.9863E-5 4.3636E-5 Median 1.5700E-6 4.7950E-6 SD 1.3006E-4 1.3386E-4 SE

of Mean 2.8382E-5 2.0181E-5

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 63 0.461 1.669 0.323 Welch-Satte rthwaite (U nequal Varia 40.5 0.466 1.683 0.322 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 1.6916E-8 Var iance of Ba ckground 1.7920E-8

Numera tor DF Denomin ator DF F-Test Value P-Value 4 3 2 0 1.0 59 0.919 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 44 21 Number of D istinct Obs ervations 44 21

Minimum 4.9100E-7 1.7700E-7 M aximum 8.3500E-4 5.1700E-4 Mean 4.3636E-5 5.9863E-5 Median 4.7950E-6 1.5700E-6 SD 1.3386E-4 1.3006E-4 SE

of Mean 2.0181E-5 2.8382E-5

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 63 -0.461 1.669 0.677 Welch-Satte rthwaite (U nequal Varia 40.5 -0.466 1.683 0.678 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 1.7920E-8 Var iance of Ba ckground 1.6916E-8

Numera tor DF Denomin ator DF F-Test Value P-Value 4 3 2 0 1.0 59 0.919 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Sett ings\All Use rs\Desktop\ EPA_Data Systems\Uti lity_Boiler_A ssess\Coal _Chromium Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 31 65 Number of D istinct Obs ervations 30 65

Minimum 1.4000E-7 1.7700E-7 M aximum 7.5200E-6 8.3500E-4 Mean 1.5370E-6 4.8879E-5 Median 1.2200E-6 3.8400E-6 SD 1.4656E-6 1.3185E-4 SE

of Mean 2.6324E-7 1.6354E-5

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 94 -1.994 1.661 0.975 Welch-Satte rthwaite (U nequal Varia 64.0 -2.894 1.669 0.997 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 2.148E-12 Var iance of Ba ckground 1.7384E-8

Numera tor DF Denomin ator DF F-Test Value P-Value 64 3 0 8093 .048 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Sett ings\All Use rs\Desktop\ EPA_Data Systems\Uti lity_Boiler_A ssess\Coal _Chromium Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 65 31 Number of D istinct Obs ervations 65 30

Minimum 1.7700E-7 1.4000E-7 M aximum 8.3500E-4 7.5200E-6 Mean 4.8879E-5 1.5370E-6 Median 3.8400E-6 1.2200E-6 SD 1.3185E-4 1.4656E-6 SE

of Mean 1.6354E-5 2.6324E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 94 1.994 1.661 0.025 Welch-Satte rthwaite (U nequal Varia 64.0 2.894 1.669 0.003 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 1.7384E-8 Var iance of Ba ckground 2.148E-12

Numera tor DF Denomin ator DF F-Test Value P-Value 64 3 0 8093 .048 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Sett ings\All Use rs\Desktop\ EPA_Data Systems\Uti lity_Boiler_A ssess\Coal _Chromium Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 35 65 Number of D istinct Obs ervations 34 65

Minimum 1.3600E-7 1.7700E-7 M aximum 5.6900E-5 8.3500E-4 Mean 4.7491E-6 4.8879E-5 Median 2.1400E-6 3.8400E-6 SD 9.5665E-6 1.3185E-4 SE

of Mean 1.6170E-6 1.6354E-5

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 98 -1.973 1.661 0.974 Welch-Satte rthwaite (U nequal Varia 65.2 -2.685 1.669 0.995 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 9.152E-11 Var iance of Ba ckground 1.7384E-8

Numera tor DF Denomin ator DF F-Test Value P-Value 64 34 189. 958 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Sett ings\All Use rs\Desktop\ EPA_Data Systems\Uti lity_Boiler_A ssess\Coal _Chromium Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 65 35 Number of D istinct Obs ervations 65 34

Minimum 1.7700E-7 1.3600E-7 M aximum 8.3500E-4 5.6900E-5 Mean 4.8879E-5 4.7491E-6 Median 3.8400E-6 2.1400E-6 SD 1.3185E-4 9.5665E-6 SE

of Mean 1.6354E-5 1.6170E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 98 1.973 1.661 0.026 Welch-Satte rthwaite (U nequal Varia 65.2 2.685 1.669 0.005 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 1.7384E-8 Var iance of Ba ckground 9.152E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 64 34 189. 958 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Sett ings\All Use rs\Desktop\ EPA_Data Systems\Uti lity_Boiler_A ssess\Coa Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -13.78 0.943 -15.78 14 2.125 2.92 3.25 2 -13.71 0.898 -11.8 12 2.131 2.91 3.24 3 -13.78 0.837 -15.61 2 2.191 2.89 3.22 4 -13.71 0.773 -15.2 5 1.922 2.88 3.2 5 -13.66 0.729 -15.07 10 1.93 2.86 3.18
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -12.06 1.98 -7.088 57 2.509 3.23 3.59 2 -12.13 1.909 -7.567 5 2.392 3.22 3.585 3 -12.21 1.834 -8.15 4 2.212 3.22 3.58 4 -12.27 1.773 -8.236 65 2.276 3.21 3.57 5 -12.34 1.709 -8.565 7 2.207 3.205 3.565
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierPotential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -13.08 1.257 -9.774 4 2.633 2.98 3.32 2 -13.18 1.155 -15.81 5 2.276 2.97 3.3 3 -13.1 1.074 -15.16 2 1.919 2.95 3.29 4 -13.04 1.024 -15.1 3 2.017 2.94 3.27 5 -12.97 0.968 -14.68 35 1.761 2.92 3.25
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierFrom File C:\Docume nts and Sett ings\All Use rs\Desktop\ EPA_Data Systems\Uti lity_Boiler_A ssess\Coal _Chromium Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 31 35 Number of D istinct Obs ervations 30 34

Minimum 1.4000E-7 1.3600E-7 M aximum 7.5200E-6 5.6900E-5 Mean 1.5370E-6 4.7491E-6 Median 1.2200E-6 2.1400E-6 SD 1.4656E-6 9.5665E-6 SE

of Mean 2.6324E-7 1.6170E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 64 -1.849 1.669 0.965 Welch-Satte rthwaite (U nequal Varia 35.8 -1.961 1.688 0.971 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 2.148E-12 Var iance of Ba ckground 9.152E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 34 3 0 42.6 04 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalC0 (dry scrubber)C0 (esp)C0 (fabric filter)C0 (wet scrubber)0.00

Frequency3.06.09.012.015.018.021.024.027.030.033.036.039.042.0DataHistograms for C0 (dry scrubber), C0 ...

# Coal Fired Utility Boiler Cobalt Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information Collection Request (ICR) were evaluated for the development of national emissions factors. The procedures employed are as described in the draft Emissions Factors Procedures Document. The data used for the development of the Cobalt Emissions Factor are presented on the following page with three sets of columns. The left set of columns contains data from all facilities and presents SCC, Submittal ID, emissions factors, the natural log of the emissions factor and the control measure employed. The middle set of columns contains the same information except that the control identifier for ESP’s and FF’s are merged to ESP
‐ FF since the analysis indicated that there was no statistical difference in average emissions. The right set of columns contains the same information except that the Wet Scubber and Dry Scrubber controls are merged since the analysis indicated that there was a statistical difference between the particulate controls (ESP & FF) but there was no statistical difference between the acid gas controls (Wet Scrubber & Dry Scrubber). The site specific emissions factors presented are as determined using the f factor method rather than the emissions factor determined by dividing the hourly emissions by the coal feed and associated proximate analysis. Subsequent pages provide the assessments as performed using EPA’s statistical software ProUCL. The assessments provide support for developing a combined national emissions factors for ESP and Fabric Filters, and for developing a combined national emissions factor for Dry Scrubbing and Wet Scrubbing controls. Separate emissions factors were developed for the reasons cited earlier.
The resulting calculated cobalt emissions factors are: Emissions Factor lb/mmBtu Number of Supporting Tests Quality Indicator ESP and FF controls 1.58 x 10 ‐ 6 

## 65 Highly Representative Dry Scrubbing & Wet Scrubbing controls 5.10 x 10 ‐ 7 

## 66 Highly RepresentativeCobaltDataSCCsubmittalIDlb/mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb/mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb/mmBtuO2LN#/mmBtu Controls10100202 11764.10E-07‐14.7071 Wet 10100222 17264.82E-08‐16.8479 Dry 10100212 16471.43E-08‐18.063 AcidCon10100202 11851.15E-07‐15.9783 Wet 10100202 16115.03E-08‐16.8053 Dry 10100202 11892.93E-08‐17.3457 ESP‐FF10100202 11871.83E-07‐15.5138 Wet 10100212 5655.63E-08‐16.6926 Dry 10100212 16483.74E-08‐17.1016 AcidCon10300222 1276 1.85E‐07‐15.5029 Wet 10100202 5605.82E-08‐16.6594 Dry 10100222 17264.82E-08‐16.8479 AcidCon10100202 11174.90E-07‐14.5289 Wet 10100202 1133 5.94E‐08‐16.6385 Dry 10100202 16115.03E-08‐16.8053 AcidCon1010020211183.21E-07‐14.9518 Wet 10100202 1249 7.70E‐08‐16.3795 Dry 10100202 11905.44E-08‐16.7269 ESP‐FF10100202 1119 3.40E‐07‐14.8943 Wet 10100202 947 8.37E‐08‐16.296 Dry 10100212 5655.63E-08‐16.6926 AcidCon10100202 19158.48E-08‐16.283 Wet 10100202 1942 9.11E‐08‐16.2113 Dry 10100202 5605.82E-08‐16.6594 AcidCon10100224 11201.97E-07‐15.4401 Wet 10100205 1349 1.20E‐07‐15.9358 Dry 10100221 2170 5.89E‐08‐16.648 ESP‐FF10100202 11174.90E-07‐14.5289 Wet 10100202 87611.74E-07‐15.5642 Dry 10100202 1133 5.94E‐08‐16.6385 AcidCon10100212 11773.34E-07‐14.9121 Wet 10100203 1052 1.76E‐07‐15.5528 Dry 10100202 22396.03E-08‐16.6239 AcidCon10100202 1637 1.43E‐07‐15.7604 Wet 10100202 1909 1.84E‐07‐15.5083 Dry 10100202 1515 6.16E‐08‐16.6026 AcidCon10100202 1638 1.54E‐07‐15.6863 Wet 10100202 15632.79E-07‐15.0921 Dry 10100202 21616.67E-08‐16.5231 ESP‐FF10100202 18264.09E-07‐14.7096 Wet 10100203 1734 2.88E‐07‐15.0588 Dry 10100222 22596.71E-08‐16.5171 AcidCon10100202 13304.05E-07‐14.7194 Wet 10100218 15632.91E-07‐15.0499 Dry 10100201 2319 7.68E‐08‐16.3821 AcidCon10100202 1738 9.53E‐07‐13.8637 Wet 10100222 14493.01E-07‐15.0162 Dry 10100202 1249 7.70E‐08‐16.3795 AcidCon10100202 1743 2.94E‐07‐15.0397 Wet 10100205 13461 3.01E‐07‐15.0162 Dry 10100202 947 8.37E‐08‐16.296 AcidCon10100202 22396.03E-08‐16.6239 Wet 10100202 1129 3.53E‐07‐14.8575 Dry 10100202 19158.48E-08‐16.283 AcidCon10100202 20551.93E-07‐15.4606 Wet 10100202 1507 3.94E‐07‐14.7469 Dry 10100202 1942 9.11E‐08‐16.2113 AcidCon10100202 182614.10E-07‐14.7071 Wet 10100218 15634.37E-07‐14.6433 Dry 10100223 13271.13E-07‐15.9959 AcidCon10100202 966 5.64E‐07‐14.3882 Wet 10100205 1346 4.42E‐07‐14.632 Dry 10100202 11851.15E-07‐15.9783 AcidCon10100211 900 1.26E‐07‐15.887 Wet 10100226 13985.88E-07‐14.3465 Dry 10100205 1349 1.20E‐07‐15.9358 AcidCon10100212 16471.43E-08‐18.063 Wet 10100202 87616.30E-07‐14.2775 Dry 10100212 10211.26E-07‐15.8904 ESP‐FF10100212 16483.74E-08‐17.1016 Wet 10100205 1346111 6.40E‐07‐14.2618 Dry 10100211 900 1.26E‐07‐15.887 AcidCon10100223 13079.99E-06‐11.5139 Wet 10100203 1735 6.77E‐07‐14.2056 Dry 10100222 10040004 1.28E‐07‐15.8712 ESP‐FF10100223 13271.13E-07‐15.9959 Wet 10100202 2021 6.88E‐07‐14.1895 Dry 10100202 1637 1.43E‐07‐15.7604 AcidCon10100201 2319 7.68E‐08‐16.3821 Wet 10100226 1938 7.14E‐07‐14.1528 Dry 10100202 15971.45E-07‐15.7465 ESP‐FF10100222 22596.71E-08‐16.5171 Wet 10100222 2206 8.24E‐07‐14.0091 Dry 10100222 18321.46E-07‐15.7397 ESP‐FF10100202 1515 6.16E‐08‐16.6026 Wet 10100205 134611 1.25E‐06‐13.5924 Dry1010022218331.53E-07‐15.6928 ESP‐FF10100202 19721.05E-06‐13.7667 Wet 10100202 2022 3.08E‐06‐12.6906 Dry 10100202 1638 1.54E‐07‐15.6863 AcidCon10100223 23156.91E-07‐14.1851 Wet 10100202 5500029.14E-06‐11.6029 Dry 10100202 87611.74E-07‐15.5642 AcidCon10100223 231514.41E-07‐14.6342 Wet 10100202 11892.93E-08‐17.3457 ESP‐FF 10100203 1052 1.76E‐07‐15.5528 AcidCon10100223 231522.57E-07‐15.1742 Wet 10100202 11905.44E-08‐16.7269 ESP‐FF 10100202 11871.83E-07‐15.5138 AcidCon10100223 231535.27E-07‐14.4561 Wet 10100221 2170 5.89E‐08‐16.648 ESP‐FF 10100202 1909 1.84E‐07‐15.5083 AcidConAllCobaltData CobaltDatamergedESP/FF CobaltDataMergedDry/WetCobaltDataSCCsubmittalIDlb/mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb/mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb/mmBtuO2LN#/mmBtu ControlsAllCobaltData CobaltDatamergedESP/FF CobaltDataMergedDry/Wet10100202 541 6.55E‐07‐14.2386 Wet 10100202 21616.67E-08‐16.5231 ESP‐FF 10300222 1276 1.85E‐07‐15.5029 AcidCon10100226 1558 3.19E‐07‐14.9581 Wet 10100212 10211.26E-07‐15.8904 ESP‐FF 10100222 22741.89E-07‐15.4815 ESP‐FF10100222 17264.82E-08‐16.8479 Dry 10100222 10040004 1.28E‐07‐15.8712 ESP‐FF 10100202 20551.93E-07‐15.4606 AcidCon10100226 1938 7.14E‐07‐14.1528 Dry 10100202 15971.45E-07‐15.7465 ESP‐FF 10100224 11201.97E-07‐15.4401 AcidCon10100203 1735 6.77E‐07‐14.2056 Dry 10100222 18321.46E-07‐15.7397 ESP‐FF 10100202 1654 1.99E‐07‐15.43 ESP‐FF10100203 1734 2.88E‐07‐15.0588 Dry1010022218331.53E-07‐15.6928 ESP‐FF 10100221 1835 2.32E‐07‐15.2744 ESP‐FF10100202 5500029.14E-06‐11.6029 Dry 10100222 22741.89E-07‐15.4815 ESP‐FF 10100222 18542.45E-07‐15.222 ESP‐FF10100222 14493.01E-07‐15.0162 Dry 10100202 1654 1.99E‐07‐15.43 ESP‐FF 10100202 16062.57E-07‐15.1742 ESP‐FF10100202 5605.82E-08‐16.6594 Dry 10100221 1835 2.32E‐07‐15.2744 ESP‐FF 10100223 231522.57E-07‐15.1742 AcidCon10100212 5655.63E-08‐16.6926 Dry 10100222 18542.45E-07‐15.222 ESP‐FF 10100202 15632.79E-07‐15.0921 AcidCon10100202 1133 5.94E‐08‐16.6385 Dry 10100202 16062.57E-07‐15.1742 ESP‐FF 10100202 10042.88E-07‐15.0603 ESP‐FF10100202 1129 3.53E‐07‐14.8575 Dry 10100202 10042.88E-07‐15.0603 ESP‐FF 10100203 1734 2.88E‐07‐15.0588 AcidCon10100226 13985.88E-07‐14.3465 Dry 10100212 31973.00E-07‐15.0195 ESP‐FF 10100218 15632.91E-07‐15.0499 AcidCon10100202 1942 9.11E‐08‐16.2113 Dry 10100202 20953.43E-07‐14.8855 ESP‐FF 10100202 1743 2.94E‐07‐15.0397 AcidCon10100202 16115.03E-08‐16.8053 Dry 10100222 18413.61E-07‐14.8344 ESP‐FF 10100212 31973.00E-07‐15.0195 ESP‐FF10100202 1909 1.84E‐07‐15.5083 Dry 10100222 845 3.86E‐07‐14.7674 ESP‐FF 10100222 14493.01E-07‐15.0162 AcidCon10100202 2021 6.88E‐07‐14.1895 Dry 10100212 227913.97E-07‐14.7392 ESP‐FF 10100205 13461 3.01E‐07‐15.0162 AcidCon10100202 1249 7.70E‐08‐16.3795 Dry 10100202 21954.00E-07‐14.7318 ESP‐FF 10100226 1558 3.19E‐07‐14.9581 AcidCon10100202 15632.79E-07‐15.0921 Dry 10100222 213514.10E-07‐14.7071 ESP‐FF1010020211183.21E-07‐14.9518 AcidCon10100218 15632.91E-07‐15.0499 Dry 10100218 2088 4.11E‐07‐14.7047 ESP‐FF 10100212 11773.34E-07‐14.9121 AcidCon10100218 15634.37E-07‐14.6433 Dry 10100202 14714.14E-07‐14.6974 ESP‐FF 10100202 1119 3.40E‐07‐14.8943 AcidCon10100203 1052 1.76E‐07‐15.5528 Dry 10100223 128614.16E-07‐14.6926 ESP‐FF 10100202 20953.43E-07‐14.8855 ESP‐FF10100205 1349 1.20E‐07‐15.9358 Dry 10100202 19024.44E-07‐14.6274 ESP‐FF 10100202 1129 3.53E‐07‐14.8575 AcidCon10100205 1346 4.42E‐07‐14.632 Dry 10100223 20704.53E-07‐14.6074 ESP‐FF 10100222 18413.61E-07‐14.8344 ESP‐FF10100222 2206 8.24E‐07‐14.0091 Dry 10100223 2302 5.02E‐07‐14.5047 ESP‐FF 10100222 845 3.86E‐07‐14.7674 ESP‐FF10100205 13461 3.01E‐07‐15.0162 Dry 10100202 100400026.09E-07‐14.3114 ESP‐FF 10100202 1507 3.94E‐07‐14.7469 AcidCon10100205 134611 1.25E‐06‐13.5924 Dry 10100211 1642 6.40E‐07‐14.2618 ESP‐FF 10100212 227913.97E-07‐14.7392 ESP‐FF10100205 1346111 6.40E‐07‐14.2618 Dry 10100203 8946.47E-07‐14.2509 ESP‐FF 10100202 21954.00E-07‐14.7318 ESP‐FF10100202 1507 3.94E‐07‐14.7469 Dry 10100212 731 7.00E‐07‐14.1715 ESP‐FF 10100202 13304.05E-07‐14.7194 AcidCon10100202 87616.30E-07‐14.2775 Dry 10100222 20117.63E-07‐14.086 ESP‐FF 10100202 18264.09E-07‐14.7096 AcidCon10100202 87611.74E-07‐15.5642 Dry 10100202 9799.02E-07‐13.9187 ESP‐FF 10100222 213514.10E-07‐14.7071 ESP‐FF10100202 2022 3.08E‐06‐12.6906 Dry 10100202 11549.17E-07‐13.9022 ESP‐FF 10100202 11764.10E-07‐14.7071 AcidCon10100202 947 8.37E‐08‐16.296 Dry 10100218 1310 1.13E‐06‐13.6933 ESP‐FF 10100202 182614.10E-07‐14.7071 AcidCon10100222 18413.61E-07‐14.8344 FF 10100202 632541.16E-06‐13.6671 ESP‐FF 10100218 2088 4.11E‐07‐14.7047 ESP‐FFCobaltDataSCCsubmittalIDlb/mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb/mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb/mmBtuO2LN#/mmBtu ControlsAllCobaltData CobaltDatamergedESP/FF CobaltDataMergedDry/Wet10100222 879456 1.86E‐06‐13.1949 FF 10100204 11131.18E-06‐13.65 ESP‐FF 10100202 14714.14E-07‐14.6974 ESP‐FF10100202 12444.11E-06‐12.4028 FF101002126321.23E-06‐13.6085 ESP‐FF 10100223 128614.16E-07‐14.6926 ESP‐FF10100222 18321.46E-07‐15.7397 FF 10100202 22761.27E-06‐13.5765 ESP‐FF 10100218 15634.37E-07‐14.6433 AcidCon1010022218331.53E-07‐15.6928 FF 10100202 1989 1.28E‐06‐13.5687 ESP‐FF 10100223 231514.41E-07‐14.6342 AcidCon10100221 1835 2.32E‐07‐15.2744 FF 10100202 1906 1.40E‐06‐13.479 ESP‐FF 10100205 1346 4.42E‐07‐14.632 AcidCon10100202 15971.45E-07‐15.7465 FF 10100212 2279 1.41E‐06‐13.4711 ESP‐FF 10100202 19024.44E-07‐14.6274 ESP‐FF10100218 1310 1.13E‐06‐13.6933 FF 10100223 20091.42E-06‐13.4649 ESP‐FF 10100223 20704.53E-07‐14.6074 ESP‐FF10100202 11892.93E-08‐17.3457 FF 10100222 2013 1.70E‐06‐13.2849 ESP‐FF 10100202 11174.90E-07‐14.5289 AcidCon10100202 11905.44E-08‐16.7269 FF 10100203 18091.84E-06‐13.2057 ESP‐FF 10100202 11174.90E-07‐14.5289 AcidCon10100202 20953.43E-07‐14.8855 FF 10100222 879456 1.86E‐06‐13.1949 ESP‐FF 10100223 2302 5.02E‐07‐14.5047 ESP‐FF10100202 16062.57E-07‐15.1742 FF101002027341.91E-06‐13.1707 ESP‐FF 10100223 231535.27E-07‐14.4561 AcidCon10100221 2170 5.89E‐08‐16.648 FF 10100212 2103 2.01E‐06‐13.1174 ESP‐FF 10100202 966 5.64E‐07‐14.3882 AcidCon10100202 7355.08E-06‐12.1904 FF 10100226 22782.16E-06‐13.0454 ESP‐FF 10100226 13985.88E-07‐14.3465 AcidCon10100202 1654 1.99E‐07‐15.43 FF 10100226 11412.20E-06‐13.0271 ESP‐FF 10100202 100400026.09E-07‐14.3114 ESP‐FF10100202 632541.16E-06‐13.6671 FF 10100201 9022.82E-06‐12.7788 ESP‐FF 10100202 87616.30E-07‐14.2775 AcidCon10100218 2088 4.11E‐07‐14.7047 FF 10100202 1636 2.83E‐06‐12.7752 ESP‐FF 10100205 1346111 6.40E‐07‐14.2618 AcidCon10100222 845 3.86E‐07‐14.7674 FF101002027362.99E-06‐12.7194 ESP‐FF 10100211 1642 6.40E‐07‐14.2618 ESP‐FF10100218 524 3.40E‐06‐12.5917 FF 10100223 8283.30E-06‐12.6216 ESP‐FF 10100203 8946.47E-07‐14.2509 ESP‐FF101002027341.91E-06‐13.1707 FF 10100202 9933.35E-06‐12.6066 ESP‐FF 10100202 541 6.55E‐07‐14.2386 AcidCon101002027362.99E-06‐12.7194 FF 10100218 524 3.40E‐06‐12.5917 ESP‐FF 10100203 1735 6.77E‐07‐14.2056 AcidCon10100222 2013 1.70E‐06‐13.2849 ESP 10100202 12444.11E-06‐12.4028 ESP‐FF 10100202 2021 6.88E‐07‐14.1895 AcidCon10100222 20117.63E-07‐14.086 ESP 10100202 9754.78E-06‐12.2511 ESP‐FF 10100223 23156.91E-07‐14.1851 AcidCon10100223 20091.42E-06‐13.4649 ESP 10100222 21354.96E-06‐12.2141 ESP‐FF 10100212 731 7.00E‐07‐14.1715 ESP‐FF10100226 11412.20E-06‐13.0271 ESP 10100202 18455.00E-06‐12.2061 ESP‐FF 10100226 1938 7.14E‐07‐14.1528 AcidCon10100202 11549.17E-07‐13.9022 ESP 10100202 7355.08E-06‐12.1904 ESP‐FF 10100222 20117.63E-07‐14.086 ESP‐FF10100212 10211.26E-07‐15.8904 ESP 10100203 8926.30E-06‐11.975 ESP‐FF 10100222 2206 8.24E‐07‐14.0091 AcidCon10100212 31973.00E-07‐15.0195 ESP 10100204 11117.00E-06‐11.8696 ESP‐FF 10100202 9799.02E-07‐13.9187 ESP‐FF10100202 19024.44E-07‐14.6274 ESP 10100201 9038.70E-06‐11.6522 ESP‐FF 10100202 11549.17E-07‐13.9022 ESP‐FF10100202 1636 2.83E‐06‐12.7752 ESP 10100212 16471.43E-08‐18.063 Wet 10100202 1738 9.53E‐07‐13.8637 AcidCon10100203 18091.84E-06‐13.2057 ESP 10100212 16483.74E-08‐17.1016 Wet 10100202 19721.05E-06‐13.7667 AcidCon10100226 22782.16E-06‐13.0454 ESP 10100202 22396.03E-08‐16.6239 Wet 10100218 1310 1.13E‐06‐13.6933 ESP‐FF10100202 18455.00E-06‐12.2061 ESP 10100202 1515 6.16E‐08‐16.6026 Wet 10100202 632541.16E-06‐13.6671 ESP‐FF10100222 18542.45E-07‐15.222 ESP 10100222 22596.71E-08‐16.5171 Wet 10100204 11131.18E-06‐13.65 ESP‐FF10100222 10040004 1.28E‐07‐15.8712 ESP 10100201 2319 7.68E‐08‐16.3821 Wet101002126321.23E-06‐13.6085 ESP‐FFCobaltDataSCCsubmittalIDlb/mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb/mmBtuO2LN#/mmBtu Controls SCCsubmittalIDlb/mmBtuO2LN#/mmBtu ControlsAllCobaltData CobaltDatamergedESP/FF CobaltDataMergedDry/Wet10100212 227913.97E-07‐14.7392 ESP 10100202 19158.48E-08‐16.283 Wet 10100205 134611 1.25E‐06‐13.5924 AcidCon10100222 213514.10E-07‐14.7071 ESP 10100223 13271.13E-07‐15.9959 Wet 10100202 22761.27E-06‐13.5765 ESP‐FF10100212 2279 1.41E‐06‐13.4711 ESP 10100202 11851.15E-07‐15.9783 Wet 10100202 1989 1.28E‐06‐13.5687 ESP‐FF10100222 22741.89E-07‐15.4815 ESP 10100211 900 1.26E‐07‐15.887 Wet 10100202 1906 1.40E‐06‐13.479 ESP‐FF10100202 22761.27E-06‐13.5765 ESP 10100202 1637 1.43E‐07‐15.7604 Wet 10100212 2279 1.41E‐06‐13.4711 ESP‐FF10100223 128614.16E-07‐14.6926 ESP 10100202 1638 1.54E‐07‐15.6863 Wet 10100223 20091.42E-06‐13.4649 ESP‐FF10100212 2103 2.01E‐06‐13.1174 ESP 10100202 11871.83E-07‐15.5138 Wet 10100222 2013 1.70E‐06‐13.2849 ESP‐FF10100223 2302 5.02E‐07‐14.5047 ESP 10300222 1276 1.85E‐07‐15.5029 Wet 10100203 18091.84E-06‐13.2057 ESP‐FF10100204 11117.00E-06‐11.8696 ESP 10100202 20551.93E-07‐15.4606 Wet 10100222 879456 1.86E‐06‐13.1949 ESP‐FF10100204 11131.18E-06‐13.65 ESP 10100224 11201.97E-07‐15.4401 Wet101002027341.91E-06‐13.1707 ESP‐FF10100222 21354.96E-06‐12.2141 ESP 10100223 231522.57E-07‐15.1742 Wet 10100212 2103 2.01E‐06‐13.1174 ESP‐FF10100202 1906 1.40E‐06‐13.479 ESP 10100202 1743 2.94E‐07‐15.0397 Wet 10100226 22782.16E-06‐13.0454 ESP‐FF10100223 20704.53E-07‐14.6074 ESP 10100226 1558 3.19E‐07‐14.9581 Wet 10100226 11412.20E-06‐13.0271 ESP‐FF10100202 100400026.09E-07‐14.3114 ESP1010020211183.21E-07‐14.9518 Wet 10100201 9022.82E-06‐12.7788 ESP‐FF10100202 21954.00E-07‐14.7318 ESP 10100212 11773.34E-07‐14.9121 Wet 10100202 1636 2.83E‐06‐12.7752 ESP‐FF10100202 10042.88E-07‐15.0603 ESP 10100202 1119 3.40E‐07‐14.8943 Wet101002027362.99E-06‐12.7194 ESP‐FF10100202 14714.14E-07‐14.6974 ESP 10100202 13304.05E-07‐14.7194 Wet 10100202 2022 3.08E‐06‐12.6906 AcidCon10100202 9754.78E-06‐12.2511 ESP 10100202 18264.09E-07‐14.7096 Wet 10100223 8283.30E-06‐12.6216 ESP‐FF10100202 9933.35E-06‐12.6066 ESP 10100202 11764.10E-07‐14.7071 Wet 10100202 9933.35E-06‐12.6066 ESP‐FF10100203 8946.47E-07‐14.2509 ESP 10100202 182614.10E-07‐14.7071 Wet 10100218 524 3.40E‐06‐12.5917 ESP‐FF10100203 8926.30E-06‐11.975 ESP 10100223 231514.41E-07‐14.6342 Wet 10100202 12444.11E-06‐12.4028 ESP‐FF10100223 8283.30E-06‐12.6216 ESP 10100202 11174.90E-07‐14.5289 Wet 10100202 9754.78E-06‐12.2511 ESP‐FF10100201 9022.82E-06‐12.7788 ESP 10100202 11174.90E-07‐14.5289 Wet 10100222 21354.96E-06‐12.2141 ESP‐FF10100201 9038.70E-06‐11.6522 ESP 10100223 231535.27E-07‐14.4561 Wet 10100202 18455.00E-06‐12.2061 ESP‐FF10100202 9799.02E-07‐13.9187 ESP 10100202 966 5.64E‐07‐14.3882 Wet 10100202 7355.08E-06‐12.1904 ESP‐FF10100202 1989 1.28E‐06‐13.5687 ESP 10100202 541 6.55E‐07‐14.2386 Wet 10100203 8926.30E-06‐11.975 ESP‐FF10100202 21616.67E-08‐16.5231 ESP 10100223 23156.91E-07‐14.1851 Wet 10100204 11117.00E-06‐11.8696 ESP‐FF10100211 1642 6.40E‐07‐14.2618 ESP 10100202 1738 9.53E‐07‐13.8637 Wet 10100201 9038.70E-06‐11.6522 ESP‐FF101002126321.23E-06‐13.6085 ESP 10100202 19721.05E-06‐13.7667 Wet 10100202 5500029.14E-06‐11.6029 AcidCon10100212 731 7.00E‐07‐14.1715 ESPFrom File WorkSheet. wst Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -15.05 1.21 -11.6 31 2.848 2.92 3.25 2 -15.16 1.069 -12.69 30 2.314 2.91 3.24 3 -15.25 0.978 -13.59 29 1.694 2.89 3.22 4 -15.31 0.942 -16.85 1 1.634 2.88 3.2 5 -15.25 0.909 -16.81 2 1.708 2.86 3.18
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -13.83 1.145 -16.52 1 2.349 3.08 3.43 2 -13.77 1.094 -11.65 44 1.938 3.07 3.41 3 -13.82 1.055 -15.89 2 1.96 3.06 3.4 4 -13.77 1.016 -15.87 3 2.066 3.05 3.39 5 -13.72 0.971 -11.87 43 1.906 3.04 3.38
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Number of d ata = 2110% critical value: 0.39 1 5% critical v alue: 0.44 1% critical v alue: 0.524

Test Statist ic: 0.090
For 10% sig nificance le vel, -12.190 39596 is no t an outlier. For 5% sign ificance lev el, -12.1903 9596 is not an outlier. For 1% sign ificance lev el, -12.1903 9596 is not an outlier.

Test Statist ic: 0.147
For 10% sig nificance le vel, -17.345 67832 is no t an outlier. For 5% sign ificance lev el, -17.3456 7832 is not an outlier. For 1% sign ificance lev el, -17.3456 7832 is not an outlier.

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -15.21 1.128 -11.51 36 3.28 2.99 3.33 2 -15.32 0.966 -18.06 1 2.842 2.98 3.32 3 -15.24 0.852 -17.1 2 2.187 2.97 3.3 4 -15.18 0.798 -16.62 3 1.807 2.95 3.29 5 -15.14 0.767 -16.6 4 1.912 2.94 3.27
For 5% Sign ificance Le vel, there is 1 Potential O utlier Therefore, O bservation -11.51 is a Potential Sta tistical Outl ier
For 1% Sign ificance Le vel, there is no Potentia l OutlierFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP Fabric Filter Number o f Valid Obs ervations 44 21 Number of D istinct Obs ervations 44 21

Minimum 6.6700E-8 2.9300E-8 M aximum 8.7000E-6 5.0800E-6 Mean 1.7749E-6 1.1626E-6 Median 1.0485E-6 3.6100E-7 SD 2.0113E-6 1.5057E-6 SE

of Mean 3.0321E-7 3.2856E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 63 1.237 1.669 0.110 Welch-Satte rthwaite (U nequal Varia 51.3 1.369 1.675 0.088 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 4.045E-12 Var iance of Ba ckground 2.267E-12

Numera tor DF Denomin ator DF F-Test Value P-Value 4 3 2 0 1.7 84 0.163 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Fabric Filte ESP Number o f Valid Obs ervations 21 44 Number of D istinct Obs ervations 21 44

Minimum 2.9300E-8 6.6700E-8 M aximum 5.0800E-6 8.7000E-6 Mean 1.1626E-6 1.7749E-6 Median 3.6100E-7 1.0485E-6 SD 1.5057E-6 2.0113E-6 SE

of Mean 3.2856E-7 3.0321E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 63 -1.237 1.669 0.890 Welch-Satte rthwaite (U nequal Varia 51.3 -1.369 1.675 0.912 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 2.267E-12 Var iance of Ba ckground 4.045E-12

Numera tor DF Denomin ator DF F-Test Value P-Value 4 3 2 0 1.7 84 0.163 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 65 31 Number of D istinct Obs ervations 65 30

Minimum 2.9300E-8 4.8200E-8 M aximum 8.7000E-6 9.1400E-6 Mean 1.5771E-6 7.2565E-7 Median 7.6300E-7 3.0100E-7 SD 1.8734E-6 1.6611E-6 SE

of Mean 2.3237E-7 2.9834E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 94 2.157 1.661 0.017 Welch-Satte rthwaite (U nequal Varia 66.0 2.252 1.668 0.014 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 3.510E-12 Var iance of Ba ckground 2.759E-12

Numera tor DF Denomin ator DF F-Test Value P-Value 64 3 0 1.2 72 0.475 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 65 35 Number of D istinct Obs ervations 65 33

Minimum 2.9300E-8 1.4300E-8 M aximum 8.7000E-6 1.0500E-6 Mean 1.5771E-6 3.1918E-7 Median 7.6300E-7 2.9400E-7 SD 1.8734E-6 2.5032E-7 SE

of Mean 2.3237E-7 4.2312E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 98 3.944 1.661 0.000 Welch-Satte rthwaite (U nequal Varia 68.2 5.326 1.668 0.000 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 3.510E-12 Var iance of Ba ckground 6.266E-14

Numera tor DF Denomin ator DF F-Test Value P-Value 64 34 56.0 10 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 31 35 Number of D istinct Obs ervations 30 33

Minimum 4.8200E-8 1.4300E-8 M aximum 9.1400E-6 1.0500E-6 Mean 7.2565E-7 3.1918E-7 Median 3.0100E-7 2.9400E-7 SD 1.6611E-6 2.5032E-7 SE

of Mean 2.9834E-7 4.2312E-8

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 64 1.431 1.669 0.079 Welch-Satte rthwaite (U nequal Varia 31.2 1.349 1.696 0.094 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 2.759E-12 Var iance of Ba ckground 6.266E-14

Numera tor DF Denomin ator DF F-Test Value P-Value 3 0 34 44.0 34 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 35 31 Number of D istinct Obs ervations 33 30

Minimum 1.4300E-8 4.8200E-8 M aximum 1.0500E-6 9.1400E-6 Mean 3.1918E-7 7.2565E-7 Median 2.9400E-7 3.0100E-7 SD 2.5032E-7 1.6611E-6 SE

of Mean 4.2312E-8 2.9834E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 64 -1.431 1.669 0.921 Welch-Satte rthwaite (U nequal Varia 31.2 -1.349 1.696 0.906 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 6.266E-14 Var iance of Ba ckground 2.759E-12

Numera tor DF Denomin ator DF F-Test Value P-Value 3 0 34 44.0 34 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP-FF Wet/Dry Sc rub Number o f Valid Obs ervations 65 66 Number of D istinct Obs ervations 65 63

Minimum 2.9300E-8 1.4300E-8 M aximum 8.7000E-6 9.1400E-6 Mean 1.5771E-6 5.1010E-7 Median 7.6300E-7 2.9750E-7 SD 1.8734E-6 1.1611E-6 SE

of Mean 2.3237E-7 1.4292E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 129 3.925 1.657 0.000 Welch-Satte rthwaite (U nequal Varia 106.6 3.911 1.659 0.000 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 3.510E-12 Var iance of Ba ckground 1.348E-12

Numera tor DF Denomin ator DF F-Test Value P-Value 64 65 2.6 03 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalmBtuO2' ac d (acidcon) 66 1.4300E-8 9.1400E-6 5.1010E-7 2.9750E-7 1.348E-12 1.1611E-6 2.7947E-7 6.673 48.77 N/A /mmBtuO2' a cd (esp-ff) 65 2.9300E-8 8.7000E-6 1.5771E-6 7.6300E-7 3.510E-12 1.8734E-6 9.0437E-7 1.843 3.308 N/A

mBtuO2' ac d (acidcon) 66 5.1800E-8 5.9850E-8 8.4800E-8 1.1625E-7 2.9750E-7 4.9000E-7 5.8800E-7 7.0250E-7 1.0258E-6 5.2010E-6 /mmBtuO2' a cd (esp-ff) 65 7.8560E-8 1.4540E-7 2.5460E-7 3.4300E-7 7.6300E-7 2.0100E-6 2.8220E-6 4.5120E-6 5.0640E-6 7.6120E-6

# Coal Fired Utility Boiler Lead Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information Collection Request (ICR) were evaluated for the development of national emissions factors. The procedures employed are as described in the draft Emissions Factors Procedures Document. The data used for the development of the Lead Emissions Factor are presented on the following page with two sets of columns. The left set of columns contains data from all facilities and presents SCC, Submittal ID, emissions factors, the natural log of the emissions factor and the control measure employed. At the bottom of this column, data identified as statistical outliers are highlighted and were not included in further assessments. The right set of columns contains the same information except that the ESP controlled data are excluded since the analysis indicated that there were no statistical difference between the Fabric Filter controls and the acid gas controls (Wet Scrubber & Dry Scrubber). The site specific emissions factors presented are as determined using the f factor method rather than the emissions factor determined by dividing the hourly emissions by the coal feed and associated proximate analysis. Subsequent pages provide the assessments as performed using EPA’s statistical software ProUCL. The assessments provide support for developing a national emissions factor for ESP controlled boilers, and for developing a combined national emissions factor for Fabric Filter, Dry Scrubbing and Wet Scrubbing controls. Separate emissions factors were developed for the reasons cited earlier.
The resulting calculated lead emissions factors are: Emissions Factor lb/mmBtu Number of Supporting Tests Quality Indicator ESP controls 6.61 x 10 ‐ 6 

## 43 Highly Representative Fabric Filter, Dry Scrubbing & Wet Scrubbing controls 2.25 x 10 ‐ 6 

## 89 Highly Representative

# Lead Emissions Data

SCC submittal ID lb/mmBtu 

### LN #/mmBtu Controls SCC submittal ID lb/mmBtu 

### LN #/mmBtu Controls 10100202 1611 9.98E-08



### ‐ 16.120098 Dry 10100202 1611 9.98E-08



### ‐ 16.1201 Dry 10100202 947 1.32E

‐ 07

‐ 15.840464 Dry 10100202 947 1.32E

‐ 07

‐ 15.84046 Dry 10100222 1726 1.55E-07



### ‐ 15.679841 Dry 10100222 1726 1.55E-07



### ‐ 15.67984 Dry 10100202 1249 2.33E

‐ 07

‐ 15.272227 Dry 10100202 1249 2.33E

‐ 07

‐ 15.27223 Dry 10100202 1133 2.61E

‐ 07

‐ 15.159959 Dry 10100202 1133 2.61E

‐ 07

‐ 15.15996 Dry 10100202 1488 2.94E

‐ 07

‐ 15.039686 Dry 10100202 1488 2.94E

‐ 07

‐ 15.03969 Dry 10100202 1942 3.17E

‐ 07

‐ 14.964364 Dry 10100202 1942 3.17E

‐ 07

‐ 14.96436 Dry 10100202 1129 3.53E

‐ 07

‐ 14.856703 Dry 10100202 1129 3.53E

‐ 07

‐ 14.8567 Dry 10100205 13461 5.39E

‐ 07

‐ 14.43355 Dry 10100205 13461 5.39E

‐ 07

‐ 14.43355 Dry 10100203 1052 5.78E

‐ 07

‐ 14.363692 Dry 10100203 1052 5.78E

‐ 07

‐ 14.36369 Dry 10100222 1449 6.81E-07



### ‐ 14.199704 Dry 10100222 1449 6.81E-07



### ‐ 14.1997 Dry 10100205 1346 7.89E

‐ 07

‐ 14.0525 Dry 10100205 1346 7.89E

‐ 07

‐ 14.0525 Dry 10100222 1568 8.44E

‐ 07

‐ 13.985113 Dry 10100222 1568 8.44E

‐ 07

‐ 13.98511 Dry 10100202 560 9.59E-07



### ‐ 13.857375 Dry 10100202 560 9.59E-07



### ‐ 13.85737 Dry 10100202 2021 1.00E

‐ 06

‐ 13.815511 Dry 10100202 2021 1.00E

‐ 06

‐ 13.81551 Dry 10100202 8761 1.02E-06



### ‐ 13.795708 Dry 10100202 8761 1.02E-06



### ‐ 13.79571 Dry 10100212 565 1.07E-06



### ‐ 13.747852 Dry 10100212 565 1.07E-06



### ‐ 13.74785 Dry 10100205 1346111 1.21E

‐ 06

‐ 13.62489 Dry 10100205 1346111 1.21E

‐ 06

‐ 13.62489 Dry 10100202 8761 1.32E-06



### ‐ 13.537879 Dry 10100202 8761 1.32E-06



### ‐ 13.53788 Dry 10100205 1349 1.55E

‐ 06

‐ 13.377256 Dry 10100205 1349 1.55E

‐ 06

‐ 13.37726 Dry 10100203 1734 1.79E

‐ 06

‐ 13.232588 Dry 10100203 1734 1.79E

‐ 06

‐ 13.23259 Dry 10100205 134611 1.99E

‐ 06

‐ 13.127376 Dry 10100205 134611 1.99E

‐ 06

‐ 13.12738 Dry 10100203 1735 2.06E

‐ 06

‐ 13.093101 Dry 10100203 1735 2.06E

‐ 06

‐ 13.0931 Dry 10100222 2206 2.06E

‐ 06

‐ 13.092805 Dry 10100222 2206 2.06E

‐ 06

‐ 13.0928 Dry 10100226 1398 2.18E-06



### ‐ 13.036186 Dry 10100226 1398 2.18E-06



### ‐ 13.03619 Dry 10100202 698 2.86E

‐ 06

‐ 12.764689 Dry 10100202 698 2.86E

‐ 06

‐ 12.76469 Dry 10100218 1563 3.33E-06



### ‐ 12.612538 Dry 10100218 1563 3.33E-06



### ‐ 12.61254 Dry 10100202 1563 3.35E-06



### ‐ 12.60655 Dry 10100202 1563 3.35E-06



### ‐ 12.60655 Dry 10100226 1938 3.88E-06



### ‐ 12.459675 Dry 10100226 1938 3.88E-06



### ‐ 12.45968 Dry 10100202 2022 4.82E

‐ 06

‐ 12.242737 Dry 10100202 2022 4.82E

‐ 06

‐ 12.24274 Dry 10100202 550002 8.93E-06



### ‐ 11.626094 Dry 10100202 550002 8.93E-06



### ‐ 11.62609 Dry 10100202 1909 1.07E

‐ 05

‐ 11.445267 Dry 10100202 1909 1.07E

‐ 05

‐ 11.44527 Dry 10100218 1563 2.00E-05



### ‐ 10.819778 Dry 10100218 1563 2.00E-05



### ‐ 10.81978 Dry 10100212 1021 2.89E-07



### ‐ 15.056398 ESP 10100221 1835 1.32E

‐ 07

‐ 15.84039 FF 10100222 10040004 3.12E

‐ 07

‐ 14.980263 ESP 10100222 1832 2.91E-07



### ‐ 15.04994 FF 10100212 2103 4.78E

‐ 07

‐ 14.553655 ESP 10100222 

### 1833 3.21E-07



### ‐ 14.95182 FF 10100202 2161 4.97E-07



### ‐ 14.514676 ESP 10100202 1597 3.97E-07



### ‐ 14.73933 FF 10100212 22791 6.39E-07



### ‐ 14.263347 ESP 10100202 

### 736 4.29E-07



### ‐ 14.66211 FF 10100226 2278 6.59E-07



### ‐ 14.232542 ESP 10100221 2170 4.36E

‐ 07

‐ 14.6459 FF 10100202 1902 6.67E-07



### ‐ 14.220476 ESP 10100202 1606 6.52E-07



### ‐ 14.24322 FF 10100202 1004 7.02E-07



### ‐ 14.169332 ESP 10100202 2095 6.59E-07



### ‐ 14.23254 FF 10100202 2195 7.32E-07



### ‐ 14.127485 ESP 10100222 845 9.24E

‐ 07

‐ 13.89455 FF 10100212 3197 7.78E-07



### ‐ 14.066539 ESP 10100202 1189 1.07E-06



### ‐ 13.74785 FF 10100223 2070 9.71E-07



### ‐ 13.844939 ESP 10100202 735 1.17E-06



### ‐ 13.65426 FF 10100212 2279 1.18E-06



### ‐ 13.653721 ESP 10100218 2088 1.43E

‐ 06

‐ 13.45784 FF 10100202 979 1.31E-06



### ‐ 13.545483 ESP 10100218 1310 1.59E

‐ 06

‐ 13.35178 FF 10100202 10040002 1.40E-06



### ‐ 13.479038 ESP 10100202 63254 2.12E-06



### ‐ 13.06409 FF 10100223 12861 1.47E-06



### ‐ 13.430248 ESP 10100202 1244 2.17E-06



### ‐ 13.04126 FF 

# Lead Emissions Data less ESP & Outlier All Lead Emissions Test Data

# Lead Emissions Data

SCC submittal ID lb/mmBtu 

### LN #/mmBtu Controls SCC submittal ID lb/mmBtu 

### LN #/mmBtu Controls 

# Lead Emissions Data less ESP & Outlier All Lead Emissions Test Data

10100211 1642 1.81E

‐ 06

‐ 13.222184 ESP 10100202 

### 734 2.30E-06



### ‐ 12.98245 FF 10100203 894 2.13E-06



### ‐ 13.059389 ESP 10100202 1654 2.38E

‐ 06

‐ 12.94841 FF 10100212 731 2.13E

‐ 06

‐ 13.057731 ESP 10100202 1190 2.87E-06



### ‐ 12.7612 FF 10100202 2276 2.14E-06



### ‐ 13.054705 ESP 10100222 879456 3.80E

‐ 06

‐ 12.48051 FF 10100222 2011 2.25E-06



### ‐ 13.00458 ESP 10100222 1841 3.88E-06



### ‐ 12.45968 FF 10100202 1154 2.33E-06



### ‐ 12.969642 ESP 10100218 524 6.96E

‐ 06

‐ 11.87533 FF 10100222 2274 2.48E-06



### ‐ 12.907252 ESP 10100202 1972 9.05E-08



### ‐ 16.21792 Wet 10100204 1113 3.06E-06



### ‐ 12.697096 ESP 10100222 2259 1.42E-07



### ‐ 15.76744 Wet 10100202 1989 3.93E

‐ 06

‐ 12.446871 ESP 10100212 1648 1.83E-07



### ‐ 15.51378 Wet 10100222 2013 4.03E

‐ 06

‐ 12.421744 ESP 10100202 1743 2.20E

‐ 07

‐ 15.32964 Wet 10100226 1141 4.12E-06



### ‐ 12.399657 ESP 10100223 1327 2.35E-07



### ‐ 15.26368 Wet 10100222 1854 4.60E-06



### ‐ 12.289454 ESP 10300222 1276 2.36E

‐ 07

‐ 15.25943 Wet 10100201 902 4.93E-06



### ‐ 12.220172 ESP 10100202 2239 2.70E-07



### ‐ 15.12484 Wet 10100223 2009 6.30E-06



### ‐ 11.974961 ESP 10100201 2319 2.79E

‐ 07

‐ 15.09205 Wet 10100212 

### 632 6.90E-06



### ‐ 11.883989 ESP 10100202 1515 3.18E

‐ 07

‐ 14.96121 Wet 10100202 1906 7.21E

‐ 06

‐ 11.840042 ESP 10100202 541 3.21E

‐ 07

‐ 14.95182 Wet 10100203 1809 7.78E-06



### ‐ 11.763954 ESP 10100223 23152 3.23E-07



### ‐ 14.94561 Wet 10100202 993 7.99E-06



### ‐ 11.73732 ESP 10100223 23151 3.79E-07



### ‐ 14.78573 Wet 10100202 1636 9.36E

‐ 06

‐ 11.579065 ESP 10100202 1637 3.91E

‐ 07

‐ 14.75456 Wet 10100202 975 9.61E-06



### ‐ 11.552706 ESP 10100202 

### 1118 4.00E-07



### ‐ 14.7318 Wet 10100223 828 9.93E-06



### ‐ 11.51995 ESP 10100224 1120 5.11E-07



### ‐ 14.4869 Wet 10100201 903 1.31E-05



### ‐ 11.242898 ESP 10100202 1915 5.14E-07



### ‐ 14.48104 Wet 10100202 1845 1.41E-05



### ‐ 11.169336 ESP 10100202 1187 5.20E-07



### ‐ 14.46944 Wet 10100204 1111 1.81E-05



### ‐ 10.919599 ESP 10100202 1176 5.57E-07



### ‐ 14.4007 Wet 10100222 21351 1.89E-05



### ‐ 10.876349 ESP 10100202 1638 5.605E

‐ 07

‐ 14.39451 Wet 10100203 892 2.18E-05



### ‐ 10.733601 ESP 10100223 23153 5.87E-07



### ‐ 14.34824 Wet 10100223 2302 2.26E

‐ 05

‐ 10.697561 ESP 10100202 1185 6.78E-07



### ‐ 14.20412 Wet 10100202 1471 5.86E-05



### ‐ 9.7447759 ESP 10100202 1119 7.83E

‐ 07

‐ 14.06013 Wet 10100221 1835 1.32E

‐ 07

‐ 15.840394 FF 10100223 1307 9.25E-07



### ‐ 13.89347 Wet 10100222 1832 2.91E-07



### ‐ 15.049943 FF 10100202 2055 9.82E-07



### ‐ 13.83367 Wet 10100222 

### 1833 3.21E-07



### ‐ 14.951825 FF 10100212 1647 1.01E-06



### ‐ 13.80556 Wet 10100202 1597 3.97E-07



### ‐ 14.73933 FF 10100223 2315 1.05E-06



### ‐ 13.76672 Wet 10100202 

### 736 4.29E-07



### ‐ 14.662105 FF 10100202 1117 1.12E-06



### ‐ 13.70218 Wet 10100221 2170 4.36E

‐ 07

‐ 14.645895 FF 10100202 1117 1.12E-06



### ‐ 13.70218 Wet 10100202 1606 6.52E-07



### ‐ 14.243221 FF 10100202 1330 1.20E-06



### ‐ 13.63319 Wet 10100202 2095 6.59E-07



### ‐ 14.232542 FF 10100202 1738 4.03E

‐ 06

‐ 12.42174 Wet 10100222 845 9.24E

‐ 07

‐ 13.894554 FF 10100202 1826 4.77E-06



### ‐ 12.25316 Wet 10100202 1189 1.07E-06



### ‐ 13.747852 FF 10100226 1558 4.77E

‐ 06

‐ 12.25316 Wet 10100202 735 1.17E-06



### ‐ 13.654257 FF 10100202 18261 7.95E-06



### ‐ 11.74234 Wet 10100218 2088 1.43E

‐ 06

‐ 13.457836 FF 10100212 1177 8.57E-06



### ‐ 11.66724 Wet 10100218 1310 1.59E

‐ 06

‐ 13.351777 FF 10100202 966 3.70E

‐ 05

‐ 10.20459 Wet 10100202 63254 2.12E-06



### ‐ 13.064094 FF 10100202 1244 2.17E-06



### ‐ 13.041257 FF 10100202 

### 734 2.30E-06



### ‐ 12.982453 FF 10100202 1654 2.38E

‐ 06

‐ 12.94841 FF 10100202 1190 2.87E-06



### ‐ 12.761199 FF 10100222 879456 3.80E

‐ 06

‐ 12.480509 FF 10100222 1841 3.88E-06



### ‐ 12.459675 FF

# Lead Emissions Data

SCC submittal ID lb/mmBtu 

### LN #/mmBtu Controls SCC submittal ID lb/mmBtu 

### LN #/mmBtu Controls 

# Lead Emissions Data less ESP & Outlier All Lead Emissions Test Data

10100218 524 6.96E

‐ 06

‐ 11.875331 FF 10100202 1972 9.05E-08



### ‐ 16.217916 Wet 10100222 2259 1.42E-07



### ‐ 15.767439 Wet 10100212 1648 1.83E-07



### ‐ 15.51378 Wet 10100202 1743 2.20E

‐ 07

‐ 15.329638 Wet 10100223 1327 2.35E-07



### ‐ 15.26368 Wet 10300222 1276 2.36E

‐ 07

‐ 15.259434 Wet 10100202 2239 2.70E-07



### ‐ 15.124844 Wet 10100201 2319 2.79E

‐ 07

‐ 15.092054 Wet 10100202 1515 3.18E

‐ 07

‐ 14.961214 Wet 10100202 541 3.21E

‐ 07

‐ 14.951825 Wet 10100223 23152 3.23E-07



### ‐ 14.945614 Wet 10100223 23151 3.79E-07



### ‐ 14.78573 Wet 10100202 1637 3.91E

‐ 07

‐ 14.754558 Wet 10100202 

### 1118 4.00E-07



### ‐ 14.731801 Wet 10100224 1120 5.11E-07



### ‐ 14.486896 Wet 10100202 1915 5.14E-07



### ‐ 14.481043 Wet 10100202 1187 5.20E-07



### ‐ 14.469437 Wet 10100202 1176 5.57E-07



### ‐ 14.400701 Wet 10100202 1638 5.6046E

‐ 07

‐ 14.394507 Wet 10100223 23153 5.87E-07



### ‐ 14.348241 Wet 10100202 1185 6.78E-07



### ‐ 14.204119 Wet 10100202 1119 7.83E

‐ 07

‐ 14.060133 Wet 10100223 1307 9.25E-07



### ‐ 13.893472 Wet 10100202 2055 9.82E-07



### ‐ 13.833675 Wet 10100212 1647 1.01E-06



### ‐ 13.80556 Wet 10100223 2315 1.05E-06



### ‐ 13.76672 Wet 10100202 1117 1.12E-06



### ‐ 13.702182 Wet 10100202 1117 1.12E-06



### ‐ 13.702182 Wet 10100202 1330 1.20E-06



### ‐ 13.633189 Wet 10100202 1738 4.03E

‐ 06

‐ 12.421744 Wet 10100202 1826 4.77E-06



### ‐ 12.253164 Wet 10100226 1558 4.77E

‐ 06

‐ 12.253164 Wet 10100202 18261 7.95E-06



### ‐ 11.742339 Wet 10100212 1177 8.57E-06



### ‐ 11.667243 Wet 10100202 966 3.70E

‐ 05

‐ 10.204593 Wet 10100202 1507 1.38E

‐ 04

‐ 8.8882569 Dry 10100222 2135 2.81E-03



### ‐ 5.8745708 ESP 10100211 900 1.19E-01



### ‐ 2.1286318 WetFrom File WorkSheet. wst Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -13.55 1.476 -8.888 8 3.16 2.97 3.3 2 -13.69 1.27 -10.82 27 2.262 2.95 3.29 3 -13.78 1.179 -11.45 2 1.982 2.94 3.27 4 -13.86 1.118 -16.12 5 2.023 2.91 3.25 5 -13.78 1.054 -11.63 1 2.048 2.91 3.24
For 5% Sign ificance Le vel, there is 1 Potential O utlier Therefore, O bservation -8.888 is a Potential Sta tistical Outl ier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -12.57 1.633 -5.875 35 4.099 3.08 3.43 2 -12.72 1.304 -9.745 12 2.284 3.07 3.41 3 -12.79 1.233 -15.06 24 1.834 3.06 3.4 4 -12.74 1.195 -14.98 32 1.875 3.05 3.39 5 -12.68 1.155 -10.7 39 1.72 3.04 3.38
For 5% Sign ificance Le vel, there is 1 Potential O utlier Therefore, O bservation -5.875 is a Potential Sta tistical Outl ier
For 1% Sign ificance Le vel, there is 1 Potential O utlier Therefore, O bservation -5.875 is a Potential Sta tistical Outl ierNumber of d ata = 21 10% critical value: 0.39 1 5% critical v alue: 0.44 1% critical v alue: 0.524

Test Statist ic: 0.197
For 10% sig nificance le vel, -11.875 33108 is no t an outlier. For 5% sign ificance lev el, -11.8753 3108 is not an outlier. For 1% sign ificance lev el, -11.8753 3108 is not an outlier.

Test Statist ic: 0.264
For 10% sig nificance le vel, -15.840 39383 is no t an outlier. For 5% sign ificance lev el, -15.8403 9383 is not an outlier. For 1% sign ificance lev el, -15.8403 9383 is not an outlier.

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -13.79 2.338 -2.129 23 4.99 2.99 3.33 2 -14.13 1.292 -10.2 17 3.035 2.98 3.32 3 -14.24 1.114 -11.67 24 2.311 2.97 3.3 4 -14.32 1.033 -11.74 16 2.496 2.95 3.29 5 -14.4 0.938 -12.25 14 2.289 2.94 3.27
For 5% sign ificance lev el, there are 2 Potential Outliers Therefore, P otential Sta tistical Outl iers are -2.129, -10. 2
For 1% Sign ificance Le vel, there is 1 Potential O utlier Therefore, O bservation -2.129 is a Potential Sta tistical Outl ierFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 43 21 Number of D istinct Obs ervations 42 21

Minimum 2.8900E-7 1.3200E-7 M aximum 5.8600E-5 6.9600E-6 Mean 6.6117E-6 1.7134E-6 Median 2.4800E-6 1.1700E-6 SD 1.0102E-5 1.6465E-6 SE

of Mean 1.5406E-6 3.5929E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 62 2.199 1.670 0.016 Welch-Satte rthwaite (U nequal Varia 46.4 3.096 1.679 0.002 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 1.021E-10 Var iance of Ba ckground 2.711E-12

Numera tor DF Denomin ator DF F-Test Value P-Value 42 2 0 37.6 48 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 21 33 Number of D istinct Obs ervations 21 32

Minimum 1.3200E-7 9.9800E-8 M aximum 6.9600E-6 2.0000E-5 Mean 1.7134E-6 2.4653E-6 Median 1.1700E-6 1.0700E-6 SD 1.6465E-6 3.9349E-6 SE

of Mean 3.5929E-7 6.8498E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 52 -0.828 1.675 0.794 Welch-Satte rthwaite (U nequal Varia 46.4 -0.972 1.679 0.832 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 2.711E-12 Var iance of Ba ckground 1.548E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 32 2 0 5.7 12 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 33 21 Number of D istinct Obs ervations 32 21

Minimum 9.9800E-8 1.3200E-7 M aximum 2.0000E-5 6.9600E-6 Mean 2.4653E-6 1.7134E-6 Median 1.0700E-6 1.1700E-6 SD 3.9349E-6 1.6465E-6 SE

of Mean 6.8498E-7 3.5929E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 52 0.828 1.675 0.206 Welch-Satte rthwaite (U nequal Varia 46.4 0.972 1.679 0.168 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 1.548E-11 Var iance of Ba ckground 2.711E-12

Numera tor DF Denomin ator DF F-Test Value P-Value 32 2 0 5.7 12 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 21 35 Number of D istinct Obs ervations 21 33

Minimum 1.3200E-7 9.0500E-8 M aximum 6.9600E-6 3.7000E-5 Mean 1.7134E-6 2.3713E-6 Median 1.1700E-6 5.5700E-7 SD 1.6465E-6 6.3766E-6 SE

of Mean 3.5929E-7 1.0778E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 54 -0.462 1.674 0.677 Welch-Satte rthwaite (U nequal Varia 41.1 -0.579 1.683 0.717 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 2.711E-12 Var iance of Ba ckground 4.066E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 34 2 0 14.9 99 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 35 21 Number of D istinct Obs ervations 33 21

Minimum 9.0500E-8 1.3200E-7 M aximum 3.7000E-5 6.9600E-6 Mean 2.3713E-6 1.7134E-6 Median 5.5700E-7 1.1700E-6 SD 6.3766E-6 1.6465E-6 SE

of Mean 1.0778E-6 3.5929E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 54 0.462 1.674 0.323 Welch-Satte rthwaite (U nequal Varia 41.1 0.579 1.683 0.283 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 4.066E-11 Var iance of Ba ckground 2.711E-12

Numera tor DF Denomin ator DF F-Test Value P-Value 34 2 0 14.9 99 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 0.95

Numbe r of Valid Ob servations 33 Number o f Distinct Ob servations 32

Minimum 9.9800E-8 Maximum 2.0000E-5 Mean o f Raw Data 2.4653E-6 Standard Deviation o f Raw Data 3.9349E-6 Kstar 0.716 Mean of Log Transfo rmed Data -13.69 Standard D eviation of Log Transfo rmed Data 1.27

C orrelation Co efficient R 0.747 Sha piro Wilk Te st Statistic 0.583 Shapiro W ilk Critical (0 .95) Value 0.931 Approximat e Shapiro W ilk P Value 3.049E-10 Lilliefors Te st Statistic 0.286 Lilliefo rs Critical (0 .95) Value 0.154

C orrelation Co efficient R 0.948 A-D Te st Statistic 0.816 A -D Critical (0 .95) Value 0.787 K-S Te st Statistic 0.146 K -S Critical(0 .95) Value 0.159

C orrelation Co efficient R 0.995 Sha piro Wilk Te st Statistic 0.985 Shapiro W ilk Critical (0 .95) Value 0.931 Approximat e Shapiro W ilk P Value 0.93 Lilliefors Te st Statistic 0.0626 Lilliefo rs Critical (0 .95) Value 0.154

Numbe r of Valid Ob servations 43Number o f Distinct Ob servations 42

Minimum 2.8900E-7 Maximum 5.8600E-5 Mean o f Raw Data 6.6117E-6 Standard Deviation o f Raw Data 1.0102E-5 Kstar 0.714 Mean of Log Transfo rmed Data -12.72 Standard D eviation of Log Transfo rmed Data 1.304

C orrelation Co efficient R 0.764 Sha piro Wilk Te st Statistic 0.615 Shapiro W ilk Critical (0 .95) Value 0.943 Approximat e Shapiro W ilk P Value 7.107E-13 Lilliefors Te st Statistic 0.266 Lilliefo rs Critical (0 .95) Value 0.135

C orrelation Co efficient R 0.95 A-D Te st Statistic 0.855 A -D Critical (0 .95) Value 0.789 K-S Te st Statistic 0.138 K -S Critical(0 .95) Value 0.14

C orrelation Co efficient R 0.992 Sha piro Wilk Te st Statistic 0.973 Shapiro W ilk Critical (0 .95) Value 0.943 Approximat e Shapiro W ilk P Value 0.485 Lilliefors Te st Statistic 0.0809 Lilliefo rs Critical (0 .95) Value 0.135

Numbe r of Valid Ob servations 21 Number o f Distinct Ob servations 21

Minimum 1.3200E-7 Maximum 6.9600E-6 Mean o f Raw Data 1.7134E-6 Standard Deviation o f Raw Data 1.6465E-6 Kstar 1.123 Mean of Log Transfo rmed Data -13.72 Standard D eviation of Log Transfo rmed Data 1.02C orrelation Co efficient R 0.9 Sha piro Wilk Te st Statistic 0.819 Shapiro W ilk Critical (0 .95) Value 0.908 Approximat e Shapiro W ilk P Value 8.5396E-4 Lilliefors Te st Statistic 0.168 Lilliefo rs Critical (0 .95) Value 0.193

C orrelation Co efficient R 0.989 A-D Te st Statistic 0.245 A -D Critical (0 .95) Value 0.763 K-S Te st Statistic 0.112 K -S Critical(0 .95) Value 0.194

C orrelation Co efficient R 0.99 Sha piro Wilk Te st Statistic 0.979 Shapiro W ilk Critical (0 .95) Value 0.908 Approximat e Shapiro W ilk P Value 0.892 Lilliefors Te st Statistic 0.12 Lilliefo rs Critical (0 .95) Value 0.193

Numbe r of Valid Ob servations 35 Number o f Distinct Ob servations 33

Minimum 9.0500E-8 Maximum 3.7000E-5 Mean o f Raw Data 2.3713E-6 Standard Deviation o f Raw Data 6.3766E-6 Kstar 0.508 Mean of Log Transfo rmed Data -14.13 Standard D eviation of Log Transfo rmed Data 1.292

C orrelation Co efficient R 0.572 Sha piro Wilk Te st Statistic 0.364 Shapiro W ilk Critical (0 .95) Value 0.934 Approximat e Shapiro W ilk P Value 1.121E-14 Lilliefors Te st Statistic 0.401 Lilliefo rs Critical (0 .95) Value 0.15

C orrelation Co efficient R 0.85A-D Te st Statistic 3.627 A -D Critical (0 .95) Value 0.809 K-S Te st Statistic 0.318 K -S Critical(0 .95) Value 0.157

C orrelation Co efficient R 0.949 Sha piro Wilk Te st Statistic 0.907 Shapiro W ilk Critical (0 .95) Value 0.934 Approximat e Shapiro W ilk P Value 0.00638 Lilliefors Te st Statistic 0.18 Lilliefo rs Critical (0 .95) Value 0.15From File WorkSheet. wst Full Precision OFF C onfidence C oefficient 0.95

Numbe r of Valid Ob servations 89 Number o f Distinct Ob servations 82

Minimum 9.0500E-8 Maximum 3.7000E-5 Mean o f Raw Data 2.2509E-6 Standard Deviation o f Raw Data 4.6955E-6 Kstar 0.682 Mean of Log Transfo rmed Data -13.87 Standard D eviation of Log Transfo rmed Data 1.23

C orrelation Co efficient R 0.639 Appr oximate Sha piro Wilk Te st Statistic 0.451 Approximat e Shapiro W ilk P Value 0 Lilliefors Te st Statistic 0.323 Lilliefo rs Critical (0 .95) Value 0.0939

C orrelation Co efficient R 0.882 A-D Te st Statistic 3.481 A -D Critical (0 .95) Value 0.799 K-S Te st Statistic 0.173 K -S Critical(0 .95) Value 0.0989

C orrelation Co efficient R 0.991 Appr oximate Sha piro Wilk Te st Statistic 0.973 Approximat e Shapiro W ilk P Value 0.247 Lilliefors Te st Statistic 0.0728 Lilliefo rs Critical (0 .95) Value 0.0939'lb/mmBtuO2 ' trim (dry) 33 9.9800E-8 2.0000E-5 2.4653E-6 1.0700E-6 1.548E-11 3.9349E-6 1.1994E-6 3.332 12.61 N/A lb/mmBtuO2 ' trim (esp) 43 2.8900E-7 5.8600E-5 6.6117E-6 2.4800E-6 1.021E-10 1.0102E-5 2.7294E-6 3.598 16.52 N/A 'lb/mmBtu O2' trim (ff) 21 1.3200E-7 6.9600E-6 1.7134E-6 1.1700E-6 2.711E-12 1.6465E-6 1.2587E-6 1.815 4.088 N/A lb/mmBtuO2 ' trim (wet) 35 9.0500E-8 3.7000E-5 2.3713E-6 5.5700E-7 4.066E-11 6.3766E-6 4.7739E-7 5.026 27.3 N/A

'lb/mmBtuO2 ' trim (dry) 33 1.4580E-7 2.3860E-7 3.3140E-7 5.3900E-7 1.0700E-6 2.1800E-6 3.1420E-6 4.6320E-6 9.6380E-6 1.7024E-5 lb/mmBtuO2 ' trim (esp) 43 4.7990E-7 6.4300E-7 7.5040E-7 1.0755E-6 2.4800E-6 7.8850E-6 9.5100E-6 1.7300E-5 2.1510E-5 4.3480E-5 'lb/mmBtu O2' trim (ff) 21 2.9100E-7 3.2100E-7 4.2900E-7 4.3600E-7 1.1700E-6 2.3000E-6 2.3800E-6 3.8000E-6 3.8800E-6 6.3440E-6 lb/mmBtuO2 ' trim (wet) 35 1.7070E-7 2.2600E-7 2.7720E-7 3.1950E-7 5.5700E-7 1.0850E-6 1.1360E-6 4.7700E-6 8.1360E-6 2.7334E-5'lb/mmB tuO2' cmb 89 9.0500E-8 3.7000E-5 2.2509E-6 9.2500E-7 2.205E-11 4.6955E-6 9.2661E-7 5.474 36.14 N/A

'lb/mmB tuO2' cmb 89 1.4720E-7 2.3460E-7 3.1980E-7 3.7900E-7 9.2500E-7 2.1200E-6 2.5720E-6 4.7700E-6 8.3220E-6 2.2040E-5

# Coal Fired Utility Boiler Manganese Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information Collection Request (ICR) were evaluated for the development of national emissions factors. The procedures employed are as described in the draft Emissions Factors Procedures Document. The data used for the development of the Manganese Emissions Factor are presented on the following page with two sets of columns. The left set of columns contains data from all facilities and presents SCC, Submittal ID, emissions factors, the natural log of the emissions factor and the control measure employed. The site specific emissions factors presented are as determined using the f factor method rather than the emissions factor determined by dividing the hourly emissions by the coal feed and associated proximate analysis. The one data set which was identified as a statistical outlier is highlighted. The right set of columns contains the same information except that the data for Fabric Filter and ESP controlled sources are identified using a combined nomenclature for subsequent analysis as combined data. The data were merged since the preceding analysis indicated that there was no statistical difference between the particulate controls (ESP & FF). Subsequent pages provide the assessments as performed using EPA’s statistical software ProUCL. The assessments provide support for developing a single combined national emissions factors for ESP, Fabric Filters, Dry Scrubber and Wet Scrubber controlled facilities. A combined emissions factor for ESP, Fabric Filters, Dry Scrubber and Wet Scrubber controlled facilities since there was no statistical difference in the means of emissions from ESP and Fabric Filter controlled facilities and there was no statistical difference between the combined ESP and Fabric Filter controlled facilities the Dry Scrubber controlled and the Wet Scrubber controlled facilities.
The resulting calculated manganese emissions factors is: Emissions Factor lb/mmBtu Number of Supporting Tests Quality Indicator ESP, FF, Dry Scrubber & Wet Scrubber controls 1.01 x 10 ‐ 5 

## 134 Highly Representative

## SCC submittal ID lb/mmBtu 

## LN #/mmBtu Controls SCC submittal ID lb/mmBtu 

## LN #/mmBtu Controls 10100202 1611 1.48E-07



## ‐ 15.7261 Dry 10100202 1611 1.48E-07



## ‐ 15.7261 Dry 10100202 1507 1.80E

‐ 07

‐ 15.5303 Dry 10100202 1507 1.80E

‐ 07

‐ 15.5303 Dry 10100202 1909 2.10E

‐ 07

‐ 15.3762 Dry 10100202 1909 2.10E

‐ 07

‐ 15.3762 Dry 10100202 1488 3.81E

‐ 07

‐ 14.7805 Dry 10100202 1488 3.81E

‐ 07

‐ 14.7805 Dry 10100222 1726 3.88E-07



## ‐ 14.7623 Dry 10100222 1726 3.88E-07



## ‐ 14.7623 Dry 10100202 947 4.65E

‐ 07

‐ 14.5812 Dry 10100202 947 4.65E

‐ 07

‐ 14.5812 Dry 10100212 565 4.78E-07



## ‐ 14.5537 Dry 10100212 565 4.78E-07



## ‐ 14.5537 Dry 10100202 560 5.35E-07



## ‐ 14.441 Dry 10100202 560 5.35E-07



## ‐ 14.441 Dry 10100205 1346 7.90E

‐ 07

‐ 14.0512 Dry 10100205 1346 7.90E

‐ 07

‐ 14.0512 Dry 10100205 13461 8.00E

‐ 07

‐ 14.0387 Dry 10100205 13461 8.00E

‐ 07

‐ 14.0387 Dry 10100202 1942 8.48E

‐ 07

‐ 13.9804 Dry 10100202 1942 8.48E

‐ 07

‐ 13.9804 Dry 10100205 1346111 1.19E

‐ 06

‐ 13.6416 Dry 10100205 1346111 1.19E

‐ 06

‐ 13.6416 Dry 10100222 1449 1.26E-06



## ‐ 13.5844 Dry 10100222 1449 1.26E-06



## ‐ 13.5844 Dry 10100226 1398 1.27E-06



## ‐ 13.5765 Dry 10100226 1398 1.27E-06



## ‐ 13.5765 Dry 10100202 1129 1.39E

‐ 06

‐ 13.4859 Dry 10100202 1129 1.39E

‐ 06

‐ 13.4859 Dry 10100205 134611 1.45E

‐ 06

‐ 13.4439 Dry 10100205 134611 1.45E

‐ 06

‐ 13.4439 Dry 10100218 1563 1.59E-06



## ‐ 13.3518 Dry 10100218 1563 1.59E-06



## ‐ 13.3518 Dry 10100202 8761 1.79E-06



## ‐ 13.2333 Dry 10100202 8761 1.79E-06



## ‐ 13.2333 Dry 10100218 1563 2.12E-06



## ‐ 13.0641 Dry 10100218 1563 2.12E-06



## ‐ 13.0641 Dry 10100222 1568 2.67E

‐ 06

‐ 12.8334 Dry 10100222 1568 2.67E

‐ 06

‐ 12.8334 Dry 10100202 1563 2.68E-06



## ‐ 12.8297 Dry 10100202 1563 2.68E-06



## ‐ 12.8297 Dry 10100205 1349 2.86E

‐ 06

‐ 12.7647 Dry 10100205 1349 2.86E

‐ 06

‐ 12.7647 Dry 10100202 1133 3.04E

‐ 06

‐ 12.7034 Dry 10100202 1133 3.04E

‐ 06

‐ 12.7034 Dry 10100203 1734 3.34E

‐ 06

‐ 12.6108 Dry 10100203 1734 3.34E

‐ 06

‐ 12.6108 Dry 10100202 698 3.70E

‐ 06

‐ 12.5072 Dry 10100202 698 3.70E

‐ 06

‐ 12.5072 Dry 10100203 1052 4.01E

‐ 06

‐ 12.4267 Dry 10100203 1052 4.01E

‐ 06

‐ 12.4267 Dry 10100203 1735 5.11E

‐ 06

‐ 12.185 Dry 10100203 1735 5.11E

‐ 06

‐ 12.185 Dry 10100222 2206 6.55E

‐ 06

‐ 11.936 Dry 10100222 2206 6.55E

‐ 06

‐ 11.936 Dry 10100226 1938 7.77E

‐ 06

‐ 11.7648 Dry 10100226 1938 7.77E

‐ 06

‐ 11.7648 Dry 10100202 8761 1.46E-05



## ‐ 11.1345 Dry 10100202 8761 1.46E-05



## ‐ 11.1345 Dry 10100202 1249 2.38E

‐ 05

‐ 10.6458 Dry 10100202 1249 2.38E

‐ 05

‐ 10.6458 Dry 10100202 2021 3.72E

‐ 05

‐ 10.1992 Dry 10100202 2021 3.72E

‐ 05

‐ 10.1992 Dry 10100202 550002 7.11E-05



## ‐ 9.55142 Dry 10100202 550002 7.11E-05



## ‐ 9.55142 Dry 10100202 2022 8.42E

‐ 05

‐ 9.38232 Dry 10100202 2022 8.42E

‐ 05

‐ 9.38232 Dry 10100202 2161 6.88E-07



## ‐ 14.1895 ESP 10100202 2161 6.88E-07



## ‐ 14.1895 ESP

‐ FF 10100212 2103 7.34E

‐ 07

‐ 14.1248 ESP 10100212 2103 7.34E

‐ 07

‐ 14.1248 ESP

‐ FF 10100212 1021 1.09E-06



## ‐ 13.7291 ESP 10100212 1021 1.09E-06



## ‐ 13.7291 ESP

‐ FF 10100222 21351 1.47E-06



## ‐ 13.4302 ESP 10100222 21351 1.47E-06



## ‐ 13.4302 ESP

‐ FF 10100212 3197 1.48E-06



## ‐ 13.4235 ESP 10100212 3197 1.48E-06



## ‐ 13.4235 ESP

‐ FF 10100202 1004 2.18E-06



## ‐ 13.0362 ESP 10100202 1004 2.18E-06



## ‐ 13.0362 ESP

‐ FF 10100202 1902 2.19E-06



## ‐ 13.0316 ESP 10100202 1902 2.19E-06



## ‐ 13.0316 ESP

‐ FF 10100203 894 2.27E-06



## ‐ 12.9957 ESP 10100203 894 2.27E-06



## ‐ 12.9957 ESP

‐ FF 10100223 12861 2.36E-06



## ‐ 12.9568 ESP 10100223 12861 2.36E-06



## ‐ 12.9568 ESP

‐ FF 10100222 10040004 2.37E

‐ 06

‐ 12.9526 ESP 10100222 10040004 2.37E

‐ 06

‐ 12.9526 ESP

‐ FF 10100212 

## 632 2.46E-06



## ‐ 12.9153 ESP 10100212 

## 632 2.46E-06



## ‐ 12.9153 ESP

‐ FF 10100202 2195 2.88E-06



## ‐ 12.7577 ESP 10100202 2195 2.88E-06



## ‐ 12.7577 ESP

‐ FF 

# Manganese Emissions Data Manganese Emissions Data

## SCC submittal ID lb/mmBtu 

## LN #/mmBtu Controls SCC submittal ID lb/mmBtu 

## LN #/mmBtu Controls 

# Manganese Emissions Data Manganese Emissions Data

10100212 22791 2.95E-06



## ‐ 12.7342 ESP 10100212 22791 2.95E-06



## ‐ 12.7342 ESP

‐ FF 10100223 2302 2.99E

‐ 06

‐ 12.7202 ESP 10100223 2302 2.99E

‐ 06

‐ 12.7202 ESP

‐ FF 10100202 10040002 4.44E-06



## ‐ 12.3249 ESP 10100202 10040002 4.44E-06



## ‐ 12.3249 ESP

‐ FF 10100202 1154 4.54E-06



## ‐ 12.3026 ESP 10100202 1154 4.54E-06



## ‐ 12.3026 ESP

‐ FF 10100202 1906 4.70E

‐ 06

‐ 12.2679 ESP 10100202 1906 4.70E

‐ 06

‐ 12.2679 ESP

‐ FF 10100222 2274 4.84E-06



## ‐ 12.2386 ESP 10100222 2274 4.84E-06



## ‐ 12.2386 ESP

‐ FF 10100201 902 5.35E-06



## ‐ 12.1384 ESP 10100201 902 5.35E-06



## ‐ 12.1384 ESP

‐ FF 10100212 2279 5.69E-06



## ‐ 12.0771 ESP 10100212 2279 5.69E-06



## ‐ 12.0771 ESP

‐ FF 10100222 2011 5.91E-06



## ‐ 12.0389 ESP 10100222 2011 5.91E-06



## ‐ 12.0389 ESP

‐ FF 10100202 993 5.92E-06



## ‐ 12.0372 ESP 10100202 993 5.92E-06



## ‐ 12.0372 ESP

‐ FF 10100211 1642 6.54E

‐ 06

‐ 11.9376 ESP 10100211 1642 6.54E

‐ 06

‐ 11.9376 ESP

‐ FF 10100203 892 7.75E-06



## ‐ 11.7678 ESP 10100203 892 7.75E-06



## ‐ 11.7678 ESP

‐ FF 10100222 1854 8.86E-06



## ‐ 11.634 ESP 10100222 1854 8.86E-06



## ‐ 11.634 ESP

‐ FF 10100203 1809 9.16E-06



## ‐ 11.6007 ESP 10100203 1809 9.16E-06



## ‐ 11.6007 ESP

‐ FF 10100226 2278 1.07E-05



## ‐ 11.4453 ESP 10100226 2278 1.07E-05



## ‐ 11.4453 ESP

‐ FF 10100223 2009 1.12E-05



## ‐ 11.3996 ESP 10100223 2009 1.12E-05



## ‐ 11.3996 ESP

‐ FF 10100202 1989 1.17E

‐ 05

‐ 11.3559 ESP 10100202 1989 1.17E

‐ 05

‐ 11.3559 ESP

‐ FF 10100204 1113 1.17E-05



## ‐ 11.3559 ESP 10100204 1113 1.17E-05



## ‐ 11.3559 ESP

‐ FF 10100202 975 1.21E-05



## ‐ 11.3223 ESP 10100202 975 1.21E-05



## ‐ 11.3223 ESP

‐ FF 10100202 979 1.29E-05



## ‐ 11.2583 ESP 10100202 979 1.29E-05



## ‐ 11.2583 ESP

‐ FF 10100201 903 1.33E-05



## ‐ 11.2277 ESP 10100201 903 1.33E-05



## ‐ 11.2277 ESP

‐ FF 10100202 1471 1.36E-05



## ‐ 11.2054 ESP 10100202 1471 1.36E-05



## ‐ 11.2054 ESP

‐ FF 10100222 2013 1.59E

‐ 05

‐ 11.0492 ESP 10100222 2013 1.59E

‐ 05

‐ 11.0492 ESP

‐ FF 10100202 1845 1.90E-05



## ‐ 10.8711 ESP 10100202 1845 1.90E-05



## ‐ 10.8711 ESP

‐ FF 10100223 2070 2.01E-05



## ‐ 10.8148 ESP 10100223 2070 2.01E-05



## ‐ 10.8148 ESP

‐ FF 10100223 828 2.18E-05



## ‐ 10.7336 ESP 10100223 828 2.18E-05



## ‐ 10.7336 ESP

‐ FF 10100226 1141 2.64E-05



## ‐ 10.5421 ESP 10100226 1141 2.64E-05



## ‐ 10.5421 ESP

‐ FF 10100202 2276 2.85E-05



## ‐ 10.4656 ESP 10100202 2276 2.85E-05



## ‐ 10.4656 ESP

‐ FF 10100202 1636 3.08E

‐ 05

‐ 10.388 ESP 10100202 1636 3.08E

‐ 05

‐ 10.388 ESP

‐ FF 10100212 731 3.10E

‐ 05

‐ 10.3823 ESP 10100212 731 3.10E

‐ 05

‐ 10.3823 ESP

‐ FF 10100204 1111 3.25E-05



## ‐ 10.3343 ESP 10100204 1111 3.25E-05



## ‐ 10.3343 ESP

‐ FF 10100222 2135 3.83E-05



## ‐ 10.1701 ESP 10100222 2135 3.83E-05



## ‐ 10.1701 ESP

‐ FF 10100202 1189 2.52E-07



## ‐ 15.1938 FF 10100202 1189 2.52E-07



## ‐ 15.1938 ESP

‐ FF 10100221 2170 3.66E

‐ 07

‐ 14.8198 FF 10100221 2170 3.66E

‐ 07

‐ 14.8198 ESP

‐ FF 10100221 1835 4.11E

‐ 07

‐ 14.7054 FF 10100221 1835 4.11E

‐ 07

‐ 14.7054 ESP

‐ FF 10100202 1190 6.52E-07



## ‐ 14.2432 FF 10100202 1190 6.52E-07



## ‐ 14.2432 ESP

‐ FF 10100222 1832 8.68E-07



## ‐ 13.9571 FF 10100222 1832 8.68E-07



## ‐ 13.9571 ESP

‐ FF 10100222 

## 1833 8.78E-07



## ‐ 13.9456 FF 10100222 

## 1833 8.78E-07



## ‐ 13.9456 ESP

‐ FF 10100202 1597 1.03E-06



## ‐ 13.786 FF 10100202 1597 1.03E-06



## ‐ 13.786 ESP

‐ FF 10100202 2095 1.74E-06



## ‐ 13.2616 FF 10100202 2095 1.74E-06



## ‐ 13.2616 ESP

‐ FF 10100218 524 1.75E

‐ 06

‐ 13.2559 FF 10100218 524 1.75E

‐ 06

‐ 13.2559 ESP

‐ FF 10100222 1841 1.83E-06



## ‐ 13.2112 FF 10100222 1841 1.83E-06



## ‐ 13.2112 ESP

‐ FF 10100202 1606 2.09E-06



## ‐ 13.0783 FF 10100202 1606 2.09E-06



## ‐ 13.0783 ESP

‐ FF 10100222 845 2.31E

‐ 06

‐ 12.9783 FF 10100222 845 2.31E

‐ 06

‐ 12.9783 ESP

‐ FF 10100202 1654 2.75E

‐ 06

‐ 12.8039 FF 10100202 1654 2.75E

‐ 06

‐ 12.8039 ESP

‐ FF 10100218 2088 4.37E

‐ 06

‐ 12.3407 FF 10100218 2088 4.37E

‐ 06

‐ 12.3407 ESP

‐ FF

## SCC submittal ID lb/mmBtu 

## LN #/mmBtu Controls SCC submittal ID lb/mmBtu 

## LN #/mmBtu Controls 

# Manganese Emissions Data Manganese Emissions Data

10100202 63254 7.05E-06



## ‐ 11.8625 FF 10100202 63254 7.05E-06



## ‐ 11.8625 ESP

‐ FF 10100218 1310 2.06E

‐ 05

‐ 10.7902 FF 10100218 1310 2.06E

‐ 05

‐ 10.7902 ESP

‐ FF 10100222 879456 2.21E

‐ 05

‐ 10.7199 FF 10100222 879456 2.21E

‐ 05

‐ 10.7199 ESP

‐ FF 10100202 

## 734 2.34E-05



## ‐ 10.6628 FF 10100202 

## 734 2.34E-05



## ‐ 10.6628 ESP

‐ FF 10100202 

## 736 2.53E-05



## ‐ 10.5847 FF 10100202 

## 736 2.53E-05



## ‐ 10.5847 ESP

‐ FF 10100202 1244 5.41E-05



## ‐ 9.82468 FF 10100202 1244 5.41E-05



## ‐ 9.82468 ESP

‐ FF 10100202 735 6.62E-05



## ‐ 9.62283 FF 10100202 735 6.62E-05



## ‐ 9.62283 ESP

‐ FF 10100202 1972 2.59E-07



## ‐ 15.1664 Wet 10100202 1972 2.59E-07



## ‐ 15.1664 Wet 10100202 1515 6.23E

‐ 07

‐ 14.2887 Wet 10100202 1515 6.23E

‐ 07

‐ 14.2887 Wet 10100212 1648 8.95E-07



## ‐ 13.9264 Wet 10100212 1648 8.95E-07



## ‐ 13.9264 Wet 10100202 2239 9.22E-07



## ‐ 13.8967 Wet 10100202 2239 9.22E-07



## ‐ 13.8967 Wet 10100202 1185 1.04E-06



## ‐ 13.7763 Wet 10100202 1185 1.04E-06



## ‐ 13.7763 Wet 10100202 1187 1.05E-06



## ‐ 13.7667 Wet 10100202 1187 1.05E-06



## ‐ 13.7667 Wet 10100202 1915 1.09E-06



## ‐ 13.7293 Wet 10100202 1915 1.09E-06



## ‐ 13.7293 Wet 10100202 1826 1.19E-06



## ‐ 13.6416 Wet 10100202 1826 1.19E-06



## ‐ 13.6416 Wet 10100202 18261 1.47E-06



## ‐ 13.4302 Wet 10100202 18261 1.47E-06



## ‐ 13.4302 Wet 10100201 2319 1.60E

‐ 06

‐ 13.3455 Wet 10100201 2319 1.60E

‐ 06

‐ 13.3455 Wet 10100202 

## 1118 1.75E-06



## ‐ 13.2559 Wet 10100202 

## 1118 1.75E-06



## ‐ 13.2559 Wet 10100223 23152 1.88E-06



## ‐ 13.1842 Wet 10100223 23152 1.88E-06



## ‐ 13.1842 Wet 10100223 23153 1.98E-06



## ‐ 13.1324 Wet 10100223 23153 1.98E-06



## ‐ 13.1324 Wet 10300222 1276 2.11E

‐ 06

‐ 13.0688 Wet 10300222 1276 2.11E

‐ 06

‐ 13.0688 Wet 10100202 1330 2.24E-06



## ‐ 13.009 Wet 10100202 1330 2.24E-06



## ‐ 13.009 Wet 10100202 1743 2.37E

‐ 06

‐ 12.9526 Wet 10100202 1743 2.37E

‐ 06

‐ 12.9526 Wet 10100211 900 2.48E

‐ 06

‐ 12.9073 Wet 10100211 900 2.48E

‐ 06

‐ 12.9073 Wet 10100212 1647 2.59E-06



## ‐ 12.8639 Wet 10100212 1647 2.59E-06



## ‐ 12.8639 Wet 10100223 23151 2.92E-06



## ‐ 12.7439 Wet 10100223 23151 2.92E-06



## ‐ 12.7439 Wet 10100202 2055 3.03E-06



## ‐ 12.7069 Wet 10100202 2055 3.03E-06



## ‐ 12.7069 Wet 10100202 1176 3.37E-06



## ‐ 12.6006 Wet 10100202 1176 3.37E-06



## ‐ 12.6006 Wet 10100222 2259 4.52E-06



## ‐ 12.307 Wet 10100222 2259 4.52E-06



## ‐ 12.307 Wet 10100212 1177 4.55E-06



## ‐ 12.3004 Wet 10100212 1177 4.55E-06



## ‐ 12.3004 Wet 10100223 2315 4.77E-06



## ‐ 12.2532 Wet 10100223 2315 4.77E-06



## ‐ 12.2532 Wet 10100202 541 6.22E

‐ 06

‐ 11.9877 Wet 10100202 541 6.22E

‐ 06

‐ 11.9877 Wet 10100202 1738 7.30E

‐ 06

‐ 11.8276 Wet 10100202 1738 7.30E

‐ 06

‐ 11.8276 Wet 10100202 1119 9.27E

‐ 06

‐ 11.5887 Wet 10100202 1119 9.27E

‐ 06

‐ 11.5887 Wet 10100202 966 1.10E

‐ 05

‐ 11.4176 Wet 10100202 966 1.10E

‐ 05

‐ 11.4176 Wet 10100202 1117 1.30E-05



## ‐ 11.2506 Wet 10100202 1117 1.30E-05



## ‐ 11.2506 Wet 10100202 1117 1.30E-05



## ‐ 11.2506 Wet 10100202 1117 1.30E-05



## ‐ 11.2506 Wet 10100226 1558 1.70E

‐ 05

‐ 10.9823 Wet 10100226 1558 1.70E

‐ 05

‐ 10.9823 Wet 10100223 1327 2.28E-05



## ‐ 10.6888 Wet 10100223 1327 2.28E-05



## ‐ 10.6888 Wet 10100224 1120 3.15E-05



## ‐ 10.3655 Wet 10100224 1120 3.15E-05



## ‐ 10.3655 Wet 10100202 1637 4.97E

‐ 05

‐ 9.90951 Wet 10100202 1637 4.97E

‐ 05

‐ 9.90951 Wet 10100202 1638 1.31E

‐ 04

‐ 8.94031 Wet 10100202 1638 1.31E

‐ 04

‐ 8.94031 Wet 10100223 1307 3.67E-04



## ‐ 7.91015 WetFrom File WorkSheet. wst Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -13.08 1.567 -9.382 34 2.359 2.97 3.3 2 -13.19 1.473 -9.551 33 2.471 2.95 3.29 3 -13.3 1.341 -10.2 32 2.316 2.94 3.27 4 -13.4 1.235 -10.65 31 2.233 2.91 3.25 5 -13.5 1.143 -11.13 30 2.066 2.91 3.24
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -11.95 1.057 -14.19 42 2.122 3.08 3.43 2 -11.9 1.023 -14.12 26 2.179 3.07 3.41 3 -11.84 0.974 -13.73 3 1.938 3.06 3.4 4 -11.8 0.939 -13.43 28 1.741 3.05 3.39 5 -11.76 0.913 -13.42 19 1.827 3.04 3.38
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Number of d ata = 2110% critical value: 0.39 1 5% critical v alue: 0.44 1% critical v alue: 0.524

Test Statist ic: 0.189
For 10% sig nificance le vel, -9.6228 30095 is no t an outlier. For 5% sign ificance lev el, -9.62283 0095 is not an outlier. For 1% sign ificance lev el, -9.62283 0095 is not an outlier.

Test Statist ic: 0.106
For 10% sig nificance le vel, -15.193 83675 is no t an outlier. For 5% sign ificance lev el, -15.1938 3675 is not an outlier. For 1% sign ificance lev el, -15.1938 3675 is not an outlier.

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -12.4 1.498 -7.91 36 2.997 2.99 3.33 2 -12.53 1.329 -8.94 35 2.7 2.98 3.32 3 -12.63 1.191 -9.91 34 2.287 2.97 3.3 4 -12.72 1.106 -15.17 1 2.216 2.95 3.29 5 -12.64 1.031 -10.37 33 2.205 2.94 3.27
For 5% Sign ificance Le vel, there is 1 Potential O utlier Therefore, O bservation -7.91 is a P otential Stat istical Outlie r
For 1% Sign ificance Le vel, there is no Potentia l OutlierFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP Fabric Filter Number o f Valid Obs ervations 44 21 Number of D istinct Obs ervations 43 21

Minimum 6.8800E-7 2.5200E-7 M aximum 3.8300E-5 6.6200E-5 Mean 1.0530E-5 1.1431E-5 Median 6.2300E-6 2.0900E-6 SD 9.9899E-6 1.8391E-5 SE

of Mean 1.5060E-6 4.0133E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 63 -0.256 1.669 0.601 Welch-Satte rthwaite (U nequal Varia 25.8 -0.210 1.706 0.582 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 9.980E-11 Var iance of Ba ckground 3.382E-10

Numera tor DF Denomin ator DF F-Test Value P-Value 2 0 4 3 3.3 89 0.001 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 21 44 Number of D istinct Obs ervations 21 43

Minimum 2.5200E-7 6.8800E-7 M aximum 6.6200E-5 3.8300E-5 Mean 1.1431E-5 1.0530E-5 Median 2.0900E-6 6.2300E-6 SD 1.8391E-5 9.9899E-6 SE

of Mean 4.0133E-6 1.5060E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 63 0.256 1.669 0.399 Welch-Satte rthwaite (U nequal Varia 25.8 0.210 1.706 0.418 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 3.382E-10 Var iance of Ba ckground 9.980E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 2 0 4 3 3.3 89 0.001 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 65 34 Number of D istinct Obs ervations 64 34

Minimum 2.5200E-7 1.4800E-7 M aximum 6.6200E-5 8.4200E-5 Mean 1.0821E-5 8.5269E-6 Median 5.3500E-6 1.6900E-6 SD 1.3150E-5 1.9117E-5 SE

of Mean 1.6311E-6 3.2786E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 97 0.702 1.661 0.242 Welch-Satte rthwaite (U nequal Varia 49.8 0.626 1.676 0.267 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 1.729E-10 Var iance of Ba ckground 3.655E-10

Numera tor DF Denomin ator DF F-Test Value P-Value 3 3 64 2.1 13 0.010 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 34 65 Number of D istinct Obs ervations 34 64

Minimum 1.4800E-7 2.5200E-7 M aximum 8.4200E-5 6.6200E-5 Mean 8.5269E-6 1.0821E-5 Median 1.6900E-6 5.3500E-6 SD 1.9117E-5 1.3150E-5 SE

of Mean 3.2786E-6 1.6311E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 97 -0.702 1.661 0.758 Welch-Satte rthwaite (U nequal Varia 49.8 -0.626 1.676 0.733 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 3.655E-10 Var iance of Ba ckground 1.729E-10

Numera tor DF Denomin ator DF F-Test Value P-Value 3 3 64 2.1 13 0.010 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 65 35 Number of D istinct Obs ervations 64 34

Minimum 2.5200E-7 2.5900E-7 M aximum 6.6200E-5 1.3100E-4 Mean 1.0821E-5 1.0357E-5 Median 5.3500E-6 2.5900E-6 SD 1.3150E-5 2.3300E-5 SE

of Mean 1.6311E-6 3.9384E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 98 0.128 1.661 0.449 Welch-Satte rthwaite (U nequal Varia 45.9 0.109 1.679 0.457 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 1.729E-10 Var iance of Ba ckground 5.429E-10

Numera tor DF Denomin ator DF F-Test Value P-Value 34 64 3.1 39 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

Site Background Number o f Valid Obs ervations 35 65 Number of D istinct Obs ervations 34 64

Minimum 2.5900E-7 2.5200E-7 M aximum 1.3100E-4 6.6200E-5 Mean 1.0357E-5 1.0821E-5 Median 2.5900E-6 5.3500E-6 SD 2.3300E-5 1.3150E-5 SE

of Mean 3.9384E-6 1.6311E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 98 -0.128 1.661 0.551 Welch-Satte rthwaite (U nequal Varia 45.9 -0.109 1.679 0.543 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 5.429E-10 Var iance of Ba ckground 1.729E-10

Numera tor DF Denomin ator DF F-Test Value P-Value 34 64 3.1 39 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Set tings\All Us ers\Desktop \EPA_Data Systems\Ut ility_Boiler_ EF-Data\_E F_Analysis\ Full Precision OFF C onfidence C oefficient 0.95

Numbe r of Valid Ob servations 34 Number o f Distinct Ob servations 34

Minimum 1.4800E-7 Maximum 8.4200E-5 Mean o f Raw Data 8.5269E-6 Standard Deviation o f Raw Data 1.9117E-5 Kstar 0.437 Mean of Log Transfo rmed Data -13.08 Standard D eviation of Log Transfo rmed Data 1.59

C orrelation Co efficient R 0.674 Sha piro Wilk Te st Statistic 0.473 Shapiro W ilk Critical (0 .95) Value 0.933 Approximat e Shapiro W ilk P Value 1.701E-12 Lilliefors Te st Statistic 0.369 Lilliefo rs Critical (0 .95) Value 0.152

C orrelation Co efficient R 0.94 A-D Te st Statistic 2.496 A -D Critical (0 .95) Value 0.821 K-S Te st Statistic 0.241 K -S Critical(0 .95) Value 0.16

C orrelation Co efficient R 0.981 Sha piro Wilk Te st Statistic 0.955 Shapiro W ilk Critical (0 .95) Value 0.933 Approximat e Shapiro W ilk P Value 0.21 Lilliefors Te st Statistic 0.106 Lilliefo rs Critical (0 .95) Value 0.152

Numbe r of Valid Ob servations 44Number o f Distinct Ob servations 43

Minimum 6.8800E-7 Maximum 3.8300E-5 Mean o f Raw Data 1.0530E-5 Standard Deviation o f Raw Data 9.9899E-6 Kstar 1.103 Mean of Log Transfo rmed Data -11.95 Standard D eviation of Log Transfo rmed Data 1.069

C orrelation Co efficient R 0.917 Sha piro Wilk Te st Statistic 0.831 Shapiro W ilk Critical (0 .95) Value 0.944 Approximat e Shapiro W ilk P Value 1.8198E-6 Lilliefors Te st Statistic 0.178 Lilliefo rs Critical (0 .95) Value 0.134

C orrelation Co efficient R 0.982 A-D Te st Statistic 0.483 A -D Critical (0 .95) Value 0.774 K-S Te st Statistic 0.104 K -S Critical(0 .95) Value 0.137

C orrelation Co efficient R 0.989 Sha piro Wilk Te st Statistic 0.96 Shapiro W ilk Critical (0 .95) Value 0.944 Approximat e Shapiro W ilk P Value 0.204 Lilliefors Te st Statistic 0.0898 Lilliefo rs Critical (0 .95) Value 0.134

Numbe r of Valid Ob servations 21 Number o f Distinct Ob servations 21

Minimum 2.5200E-7 Maximum 6.6200E-5 Mean o f Raw Data 1.1431E-5 Standard Deviation o f Raw Data 1.8391E-5 Kstar 0.46 Mean of Log Transfo rmed Data -12.65 Standard D eviation of Log Transfo rmed Data 1.692C orrelation Co efficient R 0.803 Sha piro Wilk Te st Statistic 0.651 Shapiro W ilk Critical (0 .95) Value 0.908 Approximat e Shapiro W ilk P Value 1.8549E-6 Lilliefors Te st Statistic 0.316 Lilliefo rs Critical (0 .95) Value 0.193

C orrelation Co efficient R 0.976 A-D Te st Statistic 1.197 A -D Critical (0 .95) Value 0.805 K-S Te st Statistic 0.243 K -S Critical(0 .95) Value 0.2

C orrelation Co efficient R 0.973 Sha piro Wilk Te st Statistic 0.935 Shapiro W ilk Critical (0 .95) Value 0.908 Approximat e Shapiro W ilk P Value 0.17 Lilliefors Te st Statistic 0.155 Lilliefo rs Critical (0 .95) Value 0.193

Numbe r of Valid Ob servations 35 Number o f Distinct Ob servations 34

Minimum 2.5900E-7 Maximum 1.3100E-4 Mean o f Raw Data 1.0357E-5 Standard Deviation o f Raw Data 2.3300E-5 Kstar 0.559 Mean of Log Transfo rmed Data -12.53 Standard D eviation of Log Transfo rmed Data 1.329

C orrelation Co efficient R 0.636 Sha piro Wilk Te st Statistic 0.439 Shapiro W ilk Critical (0 .95) Value 0.934 Approximat e Shapiro W ilk P Value 1.874E-13 Lilliefors Te st Statistic 0.332 Lilliefo rs Critical (0 .95) Value 0.15

C orrelation Co efficient R 0.896A-D Te st Statistic 2.233 A -D Critical (0 .95) Value 0.803 K-S Te st Statistic 0.215 K -S Critical(0 .95) Value 0.156

C orrelation Co efficient R 0.979 Sha piro Wilk Te st Statistic 0.963 Shapiro W ilk Critical (0 .95) Value 0.934 Approximat e Shapiro W ilk P Value 0.349 Lilliefors Te st Statistic 0.125 Lilliefo rs Critical (0 .95) Value 0.15From File C:\Docume nts and Set tings\All Us ers\Desktop \EPA_Data Systems\Ut ility_Boiler_ EF-Data\_E F_Analysis\ Full Precision OFF C onfidence C oefficient 0.95

Numbe r of Valid Ob servations 134 Number o f Distinct Ob servations 127

Minimum 1.4800E-7 Maximum 1.3100E-4 Mean o f Raw Data 1.0118E-5 Standard Deviation o f Raw Data 1.7708E-5 Kstar 0.609 Mean of Log Transfo rmed Data -12.5 Standard D eviation of Log Transfo rmed Data 1.438

C orrelation Co efficient R 0.742 Appr oximate Sha piro Wilk Te st Statistic 0.579 Approximat e Shapiro W ilk P Value 0 Lilliefors Te st Statistic 0.287 Lilliefo rs Critical (0 .95) Value 0.0765

C orrelation Co efficient R 0.967 A-D Te st Statistic 3.761 A -D Critical (0 .95) Value 0.808 K-S Te st Statistic 0.155 K -S Critical(0 .95) Value 0.0846

C orrelation Co efficient R 0.996 Appr oximate Sha piro Wilk Te st Statistic 0.975 Approximat e Shapiro W ilk P Value 0.218 Lilliefors Te st Statistic 0.0798 Lilliefo rs Critical (0 .95) Value 0.0765'lb/ mmBtuO2' 134 1.4800E-7 1.3100E-4 1.0118E-5 2.9700E-6 3.136E-10 1.7708E-5 3.2735E-6 3.826 19.04 N/A

'lb/

mmBtuO2' 134 3.8555E-7 6.6280E-7 1.0900E-6 1.4550E-6 2.9700E-6 1.1575E-5 1.3420E-5 2.6070E-5 3.7585E-5 7.9877E-5

# Coal Fired Utility Boiler Nickel Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information Collection Request (ICR) were evaluated for the development of national emissions factors. The procedures employed are as described in the draft Emissions Factors Procedures Document. The data used for the development of the Nickel Emissions Factor are presented on the following page with two sets of columns. The left set of columns contains data from all facilities and presents SCC, Submittal ID, emissions factors, the natural log of the emissions factor and the control measure employed. The one data set which was identified as a statistical outlier is highlighted. The right set of columns contains the same information except that the data for Fabric Filter and ESP controlled sources are identified using a combined nomenclature for subsequent analysis as combined data. The data were merged since the preceding analysis indicated that there was no statistical difference between the particulate controls (ESP & FF). The site specific emissions factors presented are as determined using the f factor method rather than the emissions factor determined by dividing the hourly emissions by the coal feed and associated proximate analysis. Subsequent pages provide the assessments as performed using EPA’s statistical software ProUCL. The assessments provide support for developing a combined national emissions factors for ESP, Fabric Filters and Wet Scrubber controlled facilities, and for developing a seperate national emissions factor for Dry Scrubbing controls. A combined emissions factor for ESP, Fabric Filterss and Wet Scrubber controlled facilities since there was no statistical difference in the means of emissions from ESP and Fabric Filter controlled facilities and there was no statistical difference between the combined ESP and Fabric Filter controlled facilities and the Wet Scrubber controlled facilities. Separate emissions factors were developed for Dry Scrubber controlled facilities since there was a statistical difference between the combined ESP and Fabric Filter controlled facilities and the Dry Scrubber controlled facilities.
The resulting calculated nickel emissions factors are: Emissions Factor lb/mmBtu Number of Supporting Tests Quality Indicator ESP, FF & Wet Scrubber control 2.74 x 10 ‐ 5 

## 101 Highly Representative Dry Scrubbing control 3.41 x 10 ‐ 6 

## 33 Highly Representative

## SCC submittal ID lb/ mmBtu LN #/mmBtu Controls SCC comb submittal ID comb lb/mmBtu comb LN #/mmBtu comb Controls comb 10100202 1611 1.20E

‐ 07



## ‐ 15.9358 Dry 10100202 1611 1.20E

‐ 07



## ‐ 15.9357741 Dry 10100202 1189 1.54E

‐ 07



## ‐ 15.6863 FF 10100202 1507 2.24E

‐ 07

‐ 15.3116198 Dry 10300222 1276 2 16E

‐ 07

‐ 15 348 Wet 10100202 947 2 88E

‐ 07

‐ 15 0603054 Dry 

# Nickel Source Test Data Nickel Source Test Data

10300222 1276 2

. 16E 07 15

. 348 Wet 10100202 947 2

. 88E 07 15

. 0603054 Dry 10100202 1507 2.24E

‐ 07

‐ 15.3116 Dry 10100222 1726 3.13E

‐ 07



## ‐ 14.9770626 Dry 10100202 947 2.88E

‐ 07

‐ 15.0603 Dry 10100222 1449 4.33E

‐ 07



## ‐ 14.6525281 Dry 10100202 1915 2.92E

‐ 07



## ‐ 15.0465 Wet 10100202 560 4.74E

‐ 07



## ‐ 14.5620585 Dry 10100221 2170 3.01E

‐ 07

‐ 15.0166 FF 10100202 1942 5.56E

‐ 07

‐ 14.4024975 Dry 10100222 1726 3.13E

‐ 07



## ‐ 14.9771 Dry 10100202 1488 6.58E

‐ 07

‐ 14.2340609 Dry 10100202 1190 3.25E

‐ 07



## ‐ 14.9394 FF 10100202 1249 7.76E

‐ 07

‐ 14.0691133 Dry 10100202 1471 3.70E

‐ 07



## ‐ 14.8098 ESP 10100202 1129 8.04E

‐ 07

‐ 14.0331508 Dry 10100212 1648 3.76E

‐ 07



## ‐ 14.7937 Wet 10100212 565 8.59E

‐ 07



## ‐ 13.9674969 Dry 10100202 1972 3.97E

‐ 07



## ‐ 14.7393 Wet 10100203 1734 9.12E

‐ 07

‐ 13.9072926 Dry 10100222 1449 4.33E

‐ 07



## ‐ 14.6525 Dry 10100205 1346 9.48E

‐ 07

‐ 13.8689113 Dry 10100202 560 4.74E

‐ 07



## ‐ 14.5621 Dry 10100226 1398 1.02E

‐ 06



## ‐ 13.7957079 Dry 10100221 1835 4.85E

‐ 07

‐ 14.5384 FF 10100205 1349 1.26E

‐ 06

‐ 13.5843988 Dry 10100202 1942 5 56E 07 14 4025 Dry 10100218 1563 1 32E 06 

## 13 5378788 Dry 10100202

. ‐ ‐ 14

. 4025 10100218

. ‐ 

## ‐ 13

. 5378788 10100202 1597 5.70E

‐ 07



## ‐ 14.3776 FF 10100202 1133 1.61E

‐ 06

‐ 13.3387577 Dry 10100202 1488 6.58E

‐ 07

‐ 14.2341 Dry 10100203 1735 1.69E

‐ 06

‐ 13.2898003 Dry 10100202 1654 7.21E

‐ 07

‐ 14.1426 FF 10100205 1346111 1.70E

‐ 06

‐ 13.2848823 Dry 10100222 1832 7.32E

‐ 07



## ‐ 14.1275 FF 10100222 1568 1.78E

‐ 06

‐ 13.2388972 Dry 10100202 2239 7.62E

‐ 07



## ‐ 14.0873 Wet 10100226 1938 1.99E

‐ 06

‐ 13.1273759 Dry 10100202 1249 7.76E

‐ 07

‐ 14.0691 Dry 10100205 134611 2.51E

‐ 06

‐ 12.8952278 Dry 10100202 1515 7.88E

‐ 07

‐ 14.0538 Wet 10100205 13461 3.14E

‐ 06

‐ 12.6712878 Dry 10100202 1129 8.04E

‐ 07

‐ 14.0332 Dry 10100202 1909 3.25E

‐ 06

‐ 12.6368556 Dry 10100212 565 8.59E

‐ 07



## ‐ 13.9675 Dry 10100203 1052 3.35E

‐ 06

‐ 12.6065502 Dry 10100212 1647 8.67E

‐ 07



## ‐ 13.9582 Wet 10100202 1563 4.23E

‐ 06



## ‐ 12.3733086 Dry 10100212 3197 8.93E

‐ 07



## ‐ 13.9287 ESP 10100218 1563 4.25E

‐ 06



## ‐ 12.3685916 Dry 10100222 845 9.12E

‐ 07

‐ 13.9076 FF 10100202 698 5.11E

‐ 06

‐ 12.1843112 Dry 10100203 1734 9 12E 07 13 9073 Dry 10100202 8761 7 67E 06 

## 11 7781939 Dry 10100203

. ‐ ‐ 13

. 9073 10100202

. ‐ 

## ‐ 11

. 7781939 10100205 1346 9.48E

‐ 07

‐ 13.8689 Dry 10100202 8761 7.68E

‐ 06



## ‐ 11.776891 Dry 10100202 1638 9.93E

‐ 07

‐ 13.8225 Wet 10100222 2206 8.82E

‐ 06

‐ 11.6384887 Dry 10100222 

## 1833 9.99E

‐ 07



## ‐ 13.8165 FF 10100202 2021 9.72E

‐ 06

‐ 11.5413249 Dry 10100226 1398 1.02E

‐ 06



## ‐ 13.7957 Dry 10100202 2022 3.41E

‐ 05

‐ 10.2862132 Dry 10100202 1637 1.06E

‐ 06

‐ 13.7572 Wet 10100202 1471 3.70E

‐ 07



## ‐ 14.8097628 ESP

‐ FF 10100202 2161 1.09E

‐ 06



## ‐ 13.7293 ESP 10100212 3197 8.93E

‐ 07



## ‐ 13.9286793 ESP

‐ FF 10100223 2070 1.25E

‐ 06



## ‐ 13.5924 ESP 10100202 2161 1.09E

‐ 06



## ‐ 13.7293329 ESP

‐ FF 10100205 1349 1.26E

‐ 06

‐ 13.5844 Dry 10100223 2070 1.25E

‐ 06



## ‐ 13.592367 ESP

‐ FF 10100202 1826 1.30E

‐ 06



## ‐ 13.5531 Wet 10100202 1902 1.47E

‐ 06



## ‐ 13.4302482 ESP

‐ FF 10100218 1563 1.32E

‐ 06



## ‐ 13.5379 Dry 10100202 1154 1.83E

‐ 06



## ‐ 13.2111946 ESP

‐ FF 10100218 524 1.39E

‐ 06

‐ 13.4862 FF 10100212 2103 1.89E

‐ 06

‐ 13.1789337 ESP

‐ FF 10100202 1902 1.47E

‐ 06



## ‐ 13.4302 ESP 10100222 10040004 2.30E

‐ 06

‐ 12.9826014 ESP

‐ FF 10100202 1133 1 61E 06 13 3388 D 10100203 894 2 37E 06 

## 12 9526206 ESP 10100202

. ‐ ‐ 13

. 3388 ry 10100203

. ‐ 

## ‐ 12

. 9526206

‐ FF 10100203 1735 1.69E

‐ 06

‐ 13.2898 Dry 10100222 21351 2.41E

‐ 06



## ‐ 12.9358838 ESP

‐ FF 10100205 1346111 1.70E

‐ 06

‐ 13.2849 Dry 10100222 1854 2.55E

‐ 06



## ‐ 12.8794172 ESP

‐ FF 10100223 23153 1.77E

‐ 06



## ‐ 13.2445 Wet 10100211 1642 2.79E

‐ 06

‐ 12.789469 ESP

‐ FF 10100222 1568 1.78E

‐ 06

‐ 13.2389 Dry 10100212 1021 2.79E

‐ 06



## ‐ 12.789469 ESP

‐ FF 10100201 2319 1.79E

‐ 06

‐ 13.2333 Wet 10100202 10040002 3.07E

‐ 06



## ‐ 12.693833 ESP

‐ FF

## SCC submittal ID lb/ mmBtu LN #/mmBtu Controls SCC comb submittal ID comb lb/mmBtu comb LN #/mmBtu comb Controls comb 

# Nickel Source Test Data Nickel Source Test Data

10100223 1327 1.83E

‐ 06



## ‐ 13.2112 Wet 10100226 1141 3.17E

‐ 06



## ‐ 12.661779 ESP

‐ FF 10100202 1154 1.83E

‐ 06



## ‐ 13.2112 ESP 10100223 2009 3.63E

‐ 06



## ‐ 12.5262779 ESP

‐ FF 10100222 2259 1 88E



## ‐ 13 1842 Wet 10100202 1004 3 79E



## ‐ 12 4831445 ESP

‐ FF 10100222

. ‐ 06 

## 13

. 1842 10100202

. ‐ 06 

## 12

. 4831445 10100212 2103 1.89E

‐ 06

‐ 13.1789 ESP 10100222 2013 3.83E

‐ 06

‐ 12.4726458 ESP

‐ FF 10100226 1938 1.99E

‐ 06

‐ 13.1274 Dry 10100223 12861 4.43E

‐ 06



## ‐ 12.327111 ESP

‐ FF 10100222 10040004 2.30E

‐ 06

‐ 12.9826 ESP 10100202 1906 4.65E

‐ 06

‐ 12.2786433 ESP

‐ FF 10100223 23152 2.36E

‐ 06



## ‐ 12.9568 Wet 10100222 2011 4.97E

‐ 06



## ‐ 12.2120907 ESP

‐ FF 10100203 894 2.37E

‐ 06



## ‐ 12.9526 ESP 10100201 902 5.14E

‐ 06



## ‐ 12.1784575 ESP

‐ FF 10100202 18261 2.41E

‐ 06



## ‐ 12.9359 Wet 10100202 979 5.32E

‐ 06



## ‐ 12.1440373 ESP

‐ FF 10100222 21351 2.41E

‐ 06



## ‐ 12.9359 ESP 10100202 1989 5.63E

‐ 06

‐ 12.0874011 ESP

‐ FF 10100205 134611 2.51E

‐ 06

‐ 12.8952 Dry 10100212 2279 5.98E

‐ 06



## ‐ 12.0273109 ESP

‐ FF 10100223 23151 2.55E

‐ 06



## ‐ 12.8794 Wet 10100212 

## 632 6.35E

‐ 06



## ‐ 11.9670557 ESP

‐ FF 10100222 1854 2.55E

‐ 06



## ‐ 12.8794 ESP 10100223 2302 7.31E

‐ 06

‐ 11.8262673 ESP

‐ FF 10100218 2088 2.64E

‐ 06

‐ 12.8447 FF 10100202 2195 8.48E

‐ 06



## ‐ 11.6778001 ESP

‐ FF 10100202 1330 2.75E

‐ 06



## ‐ 12.8039 Wet 10100203 1809 9.08E

‐ 06



## ‐ 11.6094364 ESP

‐ FF 10100211 1642 2 79E 06 12 7895 ESP 10100212 22791 9 43E 06 

## 11 5713392 ESP 10100211

. ‐ ‐ 12

. 7895 10100212

. ‐ 

## ‐ 11

. 5713392

‐ FF 10100212 1021 2.79E

‐ 06



## ‐ 12.7895 ESP 10100202 993 1.11E

‐ 05



## ‐ 11.4085654 ESP

‐ FF 10100202 2095 2.93E

‐ 06



## ‐ 12.7405 FF 10100202 1636 1.19E

‐ 05

‐ 11.3389722 ESP

‐ FF 10100223 2315 2.99E

‐ 06



## ‐ 12.7202 Wet 10100203 892 1.47E

‐ 05



## ‐ 11.1276631 ESP

‐ FF 10100202 10040002 3.07E

‐ 06



## ‐ 12.6938 ESP 10100201 903 1.58E

‐ 05



## ‐ 11.0555006 ESP

‐ FF 10100205 13461 3.14E

‐ 06

‐ 12.6713 Dry 10100222 2274 2.00E

‐ 05



## ‐ 10.8197783 ESP

‐ FF 10100226 1141 3.17E

‐ 06



## ‐ 12.6618 ESP 10100223 828 2.07E

‐ 05



## ‐ 10.7853769 ESP

‐ FF 10100202 1909 3.25E

‐ 06

‐ 12.6369 Dry 10100212 731 2.22E

‐ 05

‐ 10.7154183 ESP

‐ FF 10100203 1052 3.35E

‐ 06

‐ 12.6066 Dry 10100204 1113 3.09E

‐ 05



## ‐ 10.3847544 ESP

‐ FF 10100223 2009 3.63E

‐ 06



## ‐ 12.5263 ESP 10100202 975 7.61E

‐ 05



## ‐ 9.48346229 ESP

‐ FF 10100202 1119 3.70E

‐ 06

‐ 12.5072 Wet 10100202 1845 8.77E

‐ 05



## ‐ 9.34158866 ESP

‐ FF 10100202 1004 3.79E

‐ 06



## ‐ 12.4831 ESP 10100202 2276 1.47E

‐ 04



## ‐ 8.82507797 ESP

‐ FF 10100222 2013 3.83E

‐ 06

‐ 12.4726 ESP 10100226 2278 1.50E

‐ 04



## ‐ 8.80487526 ESP

‐ FF 10100202 1606 3 91E 06 

## 12 452 FF 10100222 2135 2 04E 04 

## 8 49739056 ESP 10100202

. ‐ 

## ‐ . 10100222

. ‐ 

## ‐ 8

. 49739056

‐ FF 10100202 1187 4.14E

‐ 06



## ‐ 12.3948 Wet 10100204 1111 3.73E

‐ 04



## ‐ 7.89393214 ESP

‐ FF 10100211 900 4.19E

‐ 06

‐ 12.3828 Wet 10100202 1189 1.54E

‐ 07



## ‐ 15.6863132 ESP

‐ FF 10100202 1563 4.23E

‐ 06



## ‐ 12.3733 Dry 10100221 2170 3.01E

‐ 07

‐ 15.0165529 ESP

‐ FF 10100218 1563 4.25E

‐ 06



## ‐ 12.3686 Dry 10100202 1190 3.25E

‐ 07



## ‐ 14.9394407 ESP

‐ FF 10100222 1841 4.39E

‐ 06



## ‐ 12.3362 FF 10100221 1835 4.85E

‐ 07

‐ 14.5383802 ESP

‐ FF 10100226 1558 4.41E

‐ 06

‐ 12.3316 Wet 10100202 1597 5.70E

‐ 07



## ‐ 14.3776295 ESP

‐ FF 10100223 12861 4.43E

‐ 06



## ‐ 12.3271 ESP 10100202 1654 7.21E

‐ 07

‐ 14.1426267 ESP

‐ FF 10100202 1906 4.65E

‐ 06

‐ 12.2786 ESP 10100222 1832 7.32E

‐ 07



## ‐ 14.1274853 ESP

‐ FF 10100222 2011 4.97E

‐ 06



## ‐ 12.2121 ESP 10100222 845 9.12E

‐ 07

‐ 13.9076258 ESP

‐ FF 10100202 698 5.11E

‐ 06

‐ 12.1843 Dry 10100222 

## 1833 9.99E

‐ 07



## ‐ 13.8165111 ESP

‐ FF 10100201 902 5.14E

‐ 06



## ‐ 12.1785 ESP 10100218 524 1.39E

‐ 06

‐ 13.4862068 ESP

‐ FF 10100202 1117 5.29E

‐ 06



## ‐ 12.1497 Wet 10100218 2088 2.64E

‐ 06

‐ 12.8447316 ESP

‐ FF 10100202 1117 5 29E 06 

## 12 1497 W t 10100202 2095 2 93E 06 

## 12 7405081 ESP 10100202

. ‐ 

## ‐ 12

. 1497 e 10100202

. ‐ 

## ‐ 12

. 7405081

‐ FF 10100202 2055 5.30E

‐ 06



## ‐ 12.1478 Wet 10100202 1606 3.91E

‐ 06



## ‐ 12.4519732 ESP

‐ FF 10100202 979 5.32E

‐ 06



## ‐ 12.144 ESP 10100222 1841 4.39E

‐ 06



## ‐ 12.3361813 ESP

‐ FF 10100202 1989 5.63E

‐ 06

‐ 12.0874 ESP 10100222 879456 1.46E

‐ 05

‐ 11.134489 ESP

‐ FF 10100212 1177 5.97E

‐ 06



## ‐ 12.0288 Wet 10100202 63254 1.81E

‐ 05



## ‐ 10.9195986 ESP

‐ FF 10100212 2279 5.98E

‐ 06



## ‐ 12.0273 ESP 10100218 1310 3.73E

‐ 05

‐ 10.1965172 ESP

‐ FF

## SCC submittal ID lb/ mmBtu LN #/mmBtu Controls SCC comb submittal ID comb lb/mmBtu comb LN #/mmBtu comb Controls comb 

# Nickel Source Test Data Nickel Source Test Data

10100202 966 6.27E

‐ 06

‐ 11.9797 Wet 10100202 

## 734 1.32E

‐ 04



## ‐ 8.93270864 ESP

‐ FF 10100212 

## 632 6.35E

‐ 06



## ‐ 11.9671 ESP 10100202 

## 736 2.23E

‐ 04



## ‐ 8.40833879 ESP

‐ FF 10100224 1120 6 43E



## ‐ 11 9545 Wet 10100202 1244 2 25E



## ‐ 8 39941016 ESP

‐ FF 10100224

. ‐ 06 

## 11

. 9545 10100202

. ‐ 04 

## 8

. 39941016 10100202 

## 1118 6.71E

‐ 06



## ‐ 11.9119 Wet 10100202 735 3.02E

‐ 04



## ‐ 8.10508354 ESP

‐ FF 10100223 2302 7.31E

‐ 06

‐ 11.8263 ESP 10300222 1276 2.16E

‐ 07

‐ 15.3479874 Wet 10100202 8761 7.67E

‐ 06



## ‐ 11.7782 Dry 10100202 1915 2.92E

‐ 07



## ‐ 15.046512 Wet 10100202 8761 7.68E

‐ 06



## ‐ 11.7769 Dry 10100212 1648 3.76E

‐ 07



## ‐ 14.7936767 Wet 10100202 2195 8.48E

‐ 06



## ‐ 11.6778 ESP 10100202 1972 3.97E

‐ 07



## ‐ 14.7393296 Wet 10100222 2206 8.82E

‐ 06

‐ 11.6385 Dry 10100202 2239 7.62E

‐ 07



## ‐ 14.0873193 Wet 10100203 1809 9.08E

‐ 06



## ‐ 11.6094 ESP 10100202 1515 7.88E

‐ 07

‐ 14.0537677 Wet 10100202 1185 9.10E

‐ 06



## ‐ 11.6072 Wet 10100212 1647 8.67E

‐ 07



## ‐ 13.9582269 Wet 10100212 22791 9.43E

‐ 06



## ‐ 11.5713 ESP 10100202 1638 9.93E

‐ 07

‐ 13.8225352 Wet 10100202 2021 9.72E

‐ 06

‐ 11.5413 Dry 10100202 1637 1.06E

‐ 06

‐ 13.7572416 Wet 10100202 993 1.11E

‐ 05



## ‐ 11.4086 ESP 10100202 1826 1.30E

‐ 06



## ‐ 13.5531463 Wet 10100202 1636 1.19E

‐ 05

‐ 11.339 ESP 10100223 23153 1.77E

‐ 06



## ‐ 13.244531 Wet 10100222 879456 1 46E 05 11 1345 FF 10100201 2319 1 79E 06 13 2332949 Wet 10100222

. ‐ ‐ 11

. 1345 10100201

. ‐ ‐ 13

. 2332949 10100202 1176 1.47E

‐ 05



## ‐ 11.1277 Wet 10100223 1327 1.83E

‐ 06



## ‐ 13.2111946 Wet 10100203 892 1.47E

‐ 05



## ‐ 11.1277 ESP 10100222 2259 1.88E

‐ 06



## ‐ 13.1842388 Wet 10100201 903 1.58E

‐ 05



## ‐ 11.0555 ESP 10100223 23152 2.36E

‐ 06



## ‐ 12.9568489 Wet 10100202 63254 1.81E

‐ 05



## ‐ 10.9196 FF 10100202 18261 2.41E

‐ 06



## ‐ 12.9358838 Wet 10100222 2274 2.00E

‐ 05



## ‐ 10.8198 ESP 10100223 23151 2.55E

‐ 06



## ‐ 12.8794172 Wet 10100223 828 2.07E

‐ 05



## ‐ 10.7854 ESP 10100202 1330 2.75E

‐ 06



## ‐ 12.8039096 Wet 10100212 731 2.22E

‐ 05

‐ 10.7154 ESP 10100223 2315 2.99E

‐ 06



## ‐ 12.7202372 Wet 10100204 1113 3.09E

‐ 05



## ‐ 10.3848 ESP 10100202 1119 3.70E

‐ 06

‐ 12.5071777 Wet 10100202 2022 3.41E

‐ 05

‐ 10.2862 Dry 10100202 1187 4.14E

‐ 06



## ‐ 12.3948148 Wet 10100202 1743 3.60E

‐ 05

‐ 10.232 Wet 10100211 900 4.19E

‐ 06

‐ 12.3828098 Wet 10100218 1310 3.73E

‐ 05

‐ 10.1965 FF 10100226 1558 4.41E

‐ 06

‐ 12.3316359 Wet 10100202 541 4.36E

‐ 05

‐ 10.0405 Wet 10100202 1117 5.29E

‐ 06



## ‐ 12.1496923 Wet 10100202 975 7 61E 05 

## 9 48346 ESP 10100202 1117 5 29E 06 

## 12 1496923 Wet 10100202

. ‐ 

## ‐ 9

. 48346 10100202

. ‐ 

## ‐ 12

. 1496923 10100202 1845 8.77E

‐ 05



## ‐ 9.34159 ESP 10100202 2055 5.30E

‐ 06



## ‐ 12.1478037 Wet 10100202 

## 734 1.32E

‐ 04



## ‐ 8.93271 FF 10100212 1177 5.97E

‐ 06



## ‐ 12.0287636 Wet 10100223 1307 1.41E

‐ 04



## ‐ 8.86675 Wet 10100202 966 6.27E

‐ 06

‐ 11.9797342 Wet 10100202 2276 1.47E

‐ 04



## ‐ 8.82508 ESP 10100224 1120 6.43E

‐ 06



## ‐ 11.954536 Wet 10100226 2278 1.50E

‐ 04



## ‐ 8.80488 ESP 10100202 

## 1118 6.71E

‐ 06



## ‐ 11.9119116 Wet 10100202 1738 1.65E

‐ 04

‐ 8.70957 Wet 10100202 1185 9.10E

‐ 06



## ‐ 11.6072361 Wet 10100222 2135 2.04E

‐ 04



## ‐ 8.49739 ESP 10100202 1176 1.47E

‐ 05



## ‐ 11.1276631 Wet 10100202 

## 736 2.23E

‐ 04



## ‐ 8.40834 FF 10100202 1743 3.60E

‐ 05

‐ 10.2319916 Wet 10100202 1244 2.25E

‐ 04



## ‐ 8.39941 FF 10100202 541 4.36E

‐ 05

‐ 10.0404534 Wet 10100202 735 3.02E

‐ 04



## ‐ 8.10508 FF 10100223 1307 1.41E

‐ 04



## ‐ 8.86675067 Wet 10100204 1111 3.73E

‐ 04



## ‐ 7.89393 ESP 10100202 1738 1.65E

‐ 04

‐ 8.70956508 Wet 10100202 550002 5.57E

‐ 04



## ‐ 7.49295 DryFrom File WorkSheet. wst Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -13.19 1.557 -7.493 34 3.658 2.97 3.3 2 -13.36 1.237 -10.29 33 2.485 2.95 3.29 3 -13.46 1.125 -15.94 1 2.202 2.94 3.27 4 -13.38 1.047 -15.31 2 1.846 2.91 3.25 5 -13.31 1.001 -11.54 32 1.771 2.91 3.24
For 5% Sign ificance Le vel, there is 1 Potential O utlier Therefore, O bservation -7.493 is a Potential Sta tistical Outl ier
For 1% Sign ificance Le vel, there is 1 Potential O utlier Therefore, O bservation -7.493 is a Potential Sta tistical Outl ier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -11.83 1.51 -7.894 44 2.606 3.08 3.43 2 -11.92 1.418 -8.497 43 2.413 3.07 3.41 3 -12 1.33 -8.805 42 2.404 3.06 3.4 4 -12.08 1.245 -8.825 41 2.613 3.05 3.39 5 -12.16 1.145 -9.342 40 2.461 3.04 3.38
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierNumber of d ata = 21 10% critical value: 0.39 1 5% critical v alue: 0.44 1% critical v alue: 0.524

Test Statist ic: 0.044
For 10% sig nificance le vel, -8.1050 83541 is no t an outlier. For 5% sign ificance lev el, -8.10508 3541 is not an outlier. For 1% sign ificance lev el, -8.10508 3541 is not an outlier.

Test Statist ic: 0.103
For 10% sig nificance le vel, -15.686 31323 is no t an outlier. For 5% sign ificance lev el, -15.6863 1323 is not an outlier. For 1% sign ificance lev el, -15.6863 1323 is not an outlier.

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -12.63 1.504 -8.71 36 2.609 2.99 3.33 2 -12.75 1.389 -8.867 35 2.793 2.98 3.32 3 -12.86 1.232 -10.04 34 2.289 2.97 3.3 4 -12.95 1.145 -10.23 33 2.372 2.95 3.29 5 -13.03 1.052 -15.35 1 2.202 2.94 3.27
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP Fabric Filter Number o f Valid Obs ervations 44 21 Number of D istinct Obs ervations 43 21

Minimum 3.7000E-7 1.5400E-7 M aximum 3.7300E-4 3.0200E-4 Mean 2.9622E-5 4.6308E-5 Median 5.2300E-6 2.6400E-6 SD 6.8772E-5 9.1087E-5 SE

of Mean 1.0368E-5 1.9877E-5

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 63 -0.822 1.669 0.793 Welch-Satte rthwaite (U nequal Varia 31.3 -0.744 1.696 0.769 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 4.7296E-9 Var iance of Ba ckground 8.2969E-9

Numera tor DF Denomin ator DF F-Test Value P-Value 2 0 4 3 1.7 54 0.122 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP/FF Dry Scrubbe r Number o f Valid Obs ervations 65 33 Number of D istinct Obs ervations 64 33

Minimum 1.5400E-7 1.2000E-7 M aximum 3.7300E-4 3.4100E-5 Mean 3.5013E-5 3.4414E-6 Median 4.4300E-6 1.6100E-6 SD 7.6370E-5 6.0906E-6 SE

of Mean 9.4725E-6 1.0602E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 96 2.365 1.661 0.010 Welch-Satte rthwaite (U nequal Varia 65.6 3.312 1.668 0.001 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 5.8323E-9 Var iance of Ba ckground 3.709E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 64 32 157. 227 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP/FF Wet Scrubb er Number o f Valid Obs ervations 65 36 Number of D istinct Obs ervations 64 35

Minimum 1.5400E-7 2.1600E-7 M aximum 3.7300E-4 1.6500E-4 Mean 3.5013E-5 1.3736E-5 Median 4.4300E-6 2.8700E-6 SD 7.6370E-5 3.5527E-5 SE

of Mean 9.4725E-6 5.9212E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 99 1.577 1.660 0.059 Welch-Satte rthwaite (U nequal Varia 96.8 1.905 1.661 0.030 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 5.8323E-9 Var iance of Ba ckground 1.2622E-9

Numera tor DF Denomin ator DF F-Test Value P-Value 64 35 4.6 21 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Th an or Equal to Backgro und Mean (F orm 1) A lternative Hy pothesis Site or AOC Mean Greater Than the B ackground M ean

Wet Scrubber ESP/FF Number o f Valid Obs ervations 36 65 Number of D istinct Obs ervations 35 64

Minimum 2.1600E-7 1.5400E-7 M aximum 1.6500E-4 3.7300E-4 Mean 1.3736E-5 3.5013E-5 Median 2.8700E-6 4.4300E-6 SD 3.5527E-5 7.6370E-5 SE

of Mean 5.9212E-6 9.4725E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 99 -1.577 1.660 0.941 Welch-Satte rthwaite (U nequal Varia 96.8 -1.905 1.661 0.970 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Site < = Backgrou nd * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude Site <= Backgro und

Varian ce of Site 1.2622E-9 Var iance of Ba ckground 5.8323E-9

Numera tor DF Denomin ator DF F-Test V alue P-Value 64 35 4.62 1 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Set tings\All Use rs\Desktop \EPA_Data Systems\Ut ility_Boiler_ EF-Data\_E F_Analysis\ Full Precision OFF C onfidence C oefficient 0.95

Numbe r of Valid Ob servations 101 Number o f Distinct Ob servations 95

Minimum 1.5400E-7 Maximum 3.7300E-4 Mean o f Raw Data 2.7429E-5 Standard Deviation o f Raw Data 6.5417E-5 Kstar 0.378 Mean of Log Transfo rmed Data -12.24 Standard D eviation of Log Transfo rmed Data 1.763

C orrelation Co efficient R 0.671 Appr oximate Sha piro Wilk Te st Statistic 0.469 Approximat e Shapiro W ilk P Value 0 Lilliefors Te st Statistic 0.373 Lilliefo rs Critical (0 .95) Value 0.0882

C orrelation Co efficient R 0.958 A-D Te st Statistic 8.456 A -D Critical (0 .95) Value 0.847 K-S Te st Statistic 0.25 K -S Critical(0 .95) Value 0.0958

C orrelation Co efficient R 0.979 Appr oximate Sha piro Wilk Te st Statistic 0.942 Approximat e Shapiro W ilk P Value 3.4288E-4 Lilliefors Te st Statistic 0.12 Lilliefo rs Critical (0 .95) Value 0.0882From File C:\Docume nts and Set tings\All Use rs\Desktop \EPA_Data Systems\Ut ility_Boiler_ EF-Data\_E F_Analysis\ Full Precision OFF C onfidence C oefficient 0.95

Numbe r of Valid Ob servations 33 Number o f Distinct Ob servations 33

Minimum 1.2000E-7 Maximum 3.4100E-5 Mean o f Raw Data 3.4414E-6 Standard Deviation o f Raw Data 6.0906E-6 Kstar 0.714 Mean of Log Transfo rmed Data -13.36 Standard D eviation of Log Transfo rmed Data 1.237

C orrelation Co efficient R 0.689 Sha piro Wilk Te st Statistic 0.508 Shapiro W ilk Critical (0 .95) Value 0.931 Approximat e Shapiro W ilk P Value 1.551E-11 Lilliefors Te st Statistic 0.293 Lilliefo rs Critical (0 .95) Value 0.154

C orrelation Co efficient R 0.896 A-D Te st Statistic 0.934 A -D Critical (0 .95) Value 0.787 K-S Te st Statistic 0.153 K -S Critical(0 .95) Value 0.159

C orrelation Co efficient R 0.995 Sha piro Wilk Te st Statistic 0.991 Shapiro W ilk Critical (0 .95) Value 0.931 Approximat e Shapiro W ilk P Value 0.995 Lilliefors Te st Statistic 0.0665 Lilliefo rs Critical (0 .95) Value 0.154

Numbe r of Valid Ob servations 44Number o f Distinct Ob servations 43

Minimum 3.7000E-7 Maximum 3.7300E-4 Mean o f Raw Data 2.9622E-5 Standard Deviation o f Raw Data 6.8772E-5 Kstar 0.443 Mean of Log Transfo rmed Data -11.83 Standard D eviation of Log Transfo rmed Data 1.527

C orrelation Co efficient R 0.663 Sha piro Wilk Te st Statistic 0.468 Shapiro W ilk Critical (0 .95) Value 0.944 Approximat e Shapiro W ilk P Value 1.110E-16 Lilliefors Te st Statistic 0.384 Lilliefo rs Critical (0 .95) Value 0.134

C orrelation Co efficient R 0.945 A-D Te st Statistic 3.959 A -D Critical (0 .95) Value 0.823 K-S Te st Statistic 0.236 K -S Critical(0 .95) Value 0.142

C orrelation Co efficient R 0.969 Sha piro Wilk Te st Statistic 0.937 Shapiro W ilk Critical (0 .95) Value 0.944 Approximat e Shapiro W ilk P Value 0.0251 Lilliefors Te st Statistic 0.127 Lilliefo rs Critical (0 .95) Value 0.134

Numbe r of Valid Ob servations 21 Number o f Distinct Ob servations 21

Minimum 1.5400E-7 Maximum 3.0200E-4 Mean o f Raw Data 4.6308E-5 Standard Deviation o f Raw Data 9.1087E-5 Kstar 0.277 Mean of Log Transfo rmed Data -12.41 Standard D eviation of Log Transfo rmed Data 2.402C orrelation Co efficient R 0.753 Sha piro Wilk Te st Statistic 0.571 Shapiro W ilk Critical (0 .95) Value 0.908 Approximat e Shapiro W ilk P Value 1.5896E-7 Lilliefors Te st Statistic 0.384 Lilliefo rs Critical (0 .95) Value 0.193

C orrelation Co efficient R 0.95 A-D Te st Statistic 1.77 A -D Critical (0 .95) Value 0.852 K-S Te st Statistic 0.273 K -S Critical(0 .95) Value 0.206

C orrelation Co efficient R 0.958 Sha piro Wilk Te st Statistic 0.905 Shapiro W ilk Critical (0 .95) Value 0.908 Approximat e Shapiro W ilk P Value 0.0409 Lilliefors Te st Statistic 0.155 Lilliefo rs Critical (0 .95) Value 0.193

Numbe r of Valid Ob servations 36 Number o f Distinct Ob servations 35

Minimum 2.1600E-7 Maximum 1.6500E-4 Mean o f Raw Data 1.3736E-5 Standard Deviation o f Raw Data 3.5527E-5 Kstar 0.43 Mean of Log Transfo rmed Data -12.63 Standard D eviation of Log Transfo rmed Data 1.526

C orrelation Co efficient R 0.612 Sha piro Wilk Te st Statistic 0.397 Shapiro W ilk Critical (0 .95) Value 0.935 Approximat e Shapiro W ilk P Value 1.343E-14 Lilliefors Te st Statistic 0.413 Lilliefo rs Critical (0 .95) Value 0.148

C orrelation Co efficient R 0.896A-D Te st Statistic 3.331 A -D Critical (0 .95) Value 0.824 K-S Te st Statistic 0.298 K -S Critical(0 .95) Value 0.156

C orrelation Co efficient R 0.973 Sha piro Wilk Te st Statistic 0.945 Shapiro W ilk Critical (0 .95) Value 0.935 Approximat e Shapiro W ilk P Value 0.0941 Lilliefors Te st Statistic 0.151 Lilliefo rs Critical (0 .95) Value 0.148lb/mmB tuO2 (dry) 33 1.2000E-7 3.4100E-5 3.4414E-6 1.6100E-6 3.709E-11 6.0906E-6 1.6842E-6 4.27 21.02 N/A lb/mmB tuO2 (esp) 44 3.7000E-7 3.7300E-4 2.9622E-5 5.2300E-6 4.7296E-9 6.8772E-5 4.9963E-6 3.663 15.02 N/A lb/mm BtuO2 (ff) 21 1.5400E-7 3.0200E-4 4.6308E-5 2.6400E-6 8.2969E-9 9.1087E-5 3.1950E-6 1.992 2.752 N/A lb/mmB tuO2 (wet) 36 2.1600E-7 1.6500E-4 1.3736E-5 2.8700E-6 1.2622E-9 3.5527E-5 3.1060E-6 3.722 13.49 N/A

lb/mmB tuO2 (dry) 33 2.6240E-7 3.3700E-7 5.9680E-7 7.7600E-7 1.6100E-6 3.3500E-6 4.2420E-6 7.6780E-6 9.1800E-6 2.6298E-5 lb/mmB tuO2 (esp) 44 1.1140E-6 1.5780E-6 2.3940E-6 2.7300E-6 5.2300E-6 1.4975E-5 2.0280E-5 8.4220E-5 1.4955E-4 3.0033E-4 lb/mm BtuO2 (ff) 21 3.0100E-7 3.2500E-7 5.7000E-7 7.2100E-7 2.6400E-6 1.8100E-5 3.7300E-5 2.2300E-4 2.2500E-4 2.8660E-4 lb/mmB tuO2 (wet) 36 3.5500E-7 5.7950E-7 9.9300E-7 1.2400E-6 2.8700E-6 6.0450E-6 6.4300E-6 2.5350E-5 6.7950E-5 1.5660E-4lb/mmBtu O2 comb2 101 1.5400E-7 3.7300E-4 2.7429E-5 3.9100E-6 4.2793E-9 6.5417E-5 4.2254E-6 3.303 11.42 N/A

lb/mmBtu O2 comb2 101 3.7000E-7 7.2100E-7 1.0900E-6 1.7700E-6 3.9100E-6 1.1100E-5 1.5800E-5 8.7700E-5 1.6500E-4 3.0200E-4

# Coal Fired Utility Boiler Selenium Emissions Factors in #/mmBtu

The results of the EPA Method 29 test results from the Utility Boiler Information Collection Request (ICR) were evaluated for the development of national emissions factors. The procedures employed are as described in the draft Emissions Factors Procedures Document. The data used for the development of the Selenium Emissions Factor are presented on the following five pages. The site specific emissions factors presented are as determined using the f factor method rather than the emissions factor determined by dividing the hourly emissions by the coal feed and associated proximate analysis. The left five columns contains information on each individual facility and presents Submittal ID, emissions factors, the measurement indicator flag, the control measures employed and the natural log of the emissions factor. The four columns on the right indicate control device groupings used in the progression of the emissions factor development process. The first two columns identify statistical outliers using the additional word “out” and are highlighted. In addition to identifying outlier data these columns identify where source groups were merged when analysis by the t ‐ test indicated that there was no statistical difference between controls. Subsequent pages provide the assessments as performed using EPA’s statistical software ProUCL. The assessments provide support for developing a combined national emissions factors for ESP, Fabric Filters, ESP and Fabric Filter controls combined with either non catalytic reduction or catalytic reduction, and for developing a separate national emissions factor for units which employ wet or dry scrubbing controls. A combined emissions factor for ESP, Fabric Filters, ESP and Fabric Filter controls combined with either non catalytic reduction or catalytic reduction since there was no statistical difference between the means of emissions from the different groupings of controls without acid gas controls. There also was no statistical difference between the different groupings of controls combined with wet or dry scrubber controls. Separate emissions factors were developed for units without wet or dry scrubber controls and for facilities with wet or dry scrubber controls since there was a statistical difference between these control groupings.
The resulting calculated selenium emissions factors are: Emissions Factor lb/mmBtu Number of Supporting Tests Quality Indicator ESP, FF, ESP/FF, ESP/catalytic reduction, ESP/non catalytic reduction, FF/catalytic reduction & FF/non catalytic reduction control 3.69 x 10 ‐ 5 

## 106 Highly Representative

All controls combined with either dry scrubbing or wet scrubbing controls 9.24 x 10 ‐ 6 

## 112 Highly RepresentativeCoal Fired Utility Boilers Selenium DataSubmittal ID EF #/mmBtu Flag ControlsLN EF #/mmBtu Contols-OutControl-Comb1Control-Comb2Final Control Comb1266 1.37E-08 ADL Dry Scrub FF Catalytic Red-18.10750 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1365 1.45E-08 ADL Dry Scrub FF Catalytic Red-18.05091 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1128 1.53E-08 DLL Dry Scrub FF Catalytic Red-17.99395 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed5000 1.61E-08 ADL FF Non Catalytic Red-17.94639 FF Non Catalytic RedFF NH3FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/DryScrub Scrubbed947 4.07E-08 DLL Dry Scrub FF-17.01645 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1942 4.67E-08 DLL Dry Scrub FF-16.87852 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed565 5.09E-08 DLL Dry Scrub FF-16.79275 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed779 5.31E-08 ADL FF Non Catalytic Red-16.75133 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed1539 6.61E-08 DLL FF Non Catalytic Red-16.53234 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed1488 7.87E-08 ADL Dry Scrub FF Catalytic Red-16.35773 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed77922 8.20E-08 DLL FF Non Catalytic Red-16.31693 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed2256 9.21E-08 BDL FF-16.20075 FFFFFF, FF/NH3UnScrubbed2256 9.21E-08 BDL FF-16.20075 FFFFFF, FF/NH3UnScrubbed1382 9.33E-08 ADL Dry Scrub ESP-16.18793 Dry Scrub ESPDry Scrub ESPESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub Scrubbed1249 1.18E-07 DLL Dry Scrub FF-15.95146 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed2315 1.33E-07 DLL Wet Scrub FF-15.83660 Wet Scrub FFWet Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1349 1.35E-07 ADL Dry Scrub FF-15.81599 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed560 1.35E-07 ADL Dry Scrub FF-15.81446 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1052 1.42E-07ADL DryScrub FF-15.77087 DryScrub FFDryScrub FFFF/Wet Scrub,FF/DryScrub,FF/NH3/Wet Scrub,FF/NH3/DryScrub Scrubbedy,y1276 1.44E-07 BDL Wet Scrub ESP-15.75242 FinalWet Scrub ESPESP/Wet Scrub, ESP/DryScrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub Scrubbed23153 1.71E-07 DLL Wet Scrub FF-15.58066 Wet Scrub FFWet Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1972 1.79E-07 ADL Wet Scrub FF-15.53776 Wet Scrub FFWet Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed23151 1.92E-07 DLL Wet Scrub FF-15.46693 Wet Scrub FFWet Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed830 2.10E-07 ADL Dry Scrub FF-15.37487 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1449 2.13E-07 ADL Dry Scrub FF-15.36263 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed3197 2.15E-07 ADL ESP-15.35388 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1189 2.19E-07 DLL FF-15.33415 FFFFFF, FF/NH3UnScrubbed2198 2.29E-07 ADL Dry Scrub FF-15.29049 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed13461 2.34E-07 ADL Dry Scrub FF-15.26754 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1706 2.39E-07 ADL Wet Scrub ESP-15.24736 Wet Scrub ESPWet Scrub ESPESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed1156 2.86E-07 ADL Dry Scrub FF Catalytic Red-15.06710 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1346 2.97E-07 ADL Dry Scrub FF-15.02925 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed23152 3.17E-07 ADL Wet Scrub FF-14.96536 Wet Scrub FFWet Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1687 3.26E-07 ADL Wet Scrub ESP-14.93780 Wet Scrub ESPWet Scrub ESPESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed2200 4.26E-07 ADL Dry Scrub FF-14.66924 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1346111 4.28E-07 ADL Dry Scrub FF-14.66395 Dry Scrub FFDry Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed941 4.34E-07 ADL FF-14.65046 FFFFFF, FF/NH3UnScrubbed1524 4.57E-07 ADL Dry Scrub FF-14.59891 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1654 4.66E-07ADL Wet Scrub FF-14.57983 Wet Scrub FFWet Scrub FFFF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1398 4.66E-07 BDL Dry Scrub FF-14.57919 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1568 4.85E-07 BDL Dry Scrub FF-14.53932 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1336 4.92E-07 ADL Dry Scrub FF Catalytic Red-14.52569 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed834 4.99E-07 ADL Dry Scrub FF-14.51111 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1611 5.03E-07 BDL Dry Scrub FF Catalytic Red-14.50288 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub ScrubbedCoal Fired Utility Boilers Selenium DataSubmittal ID EF #/mmBtu Flag ControlsLN EF #/mmBtu Contols-OutControl-Comb1Control-Comb2Final Control Comb2199 5.04E-07 ADL Dry Scrub FF-14.50106 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed844 5.54E-07 ADL FF-14.40675 FFFFFF, FF/NH3UnScrubbed1129 5.71E-07 BDL Dry Scrub FF-14.37625 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1618 5.77E-07 ADLESP-FF-14.36475ESP-FFESP-FFFF,FF/NH3UnScrubbed22261 5.84E-07 ADL FF Non Catalytic Red-14.35267 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed2090 6.00E-07 DLL FF Non Catalytic Red-14.32568 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed2090 6.00E-07 DLL FF Non Catalytic Red-14.32568 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed1726 6.30E-07 ADL Dry Scrub FF Catalytic Red-14.27732 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed2112 6.40E-07 ADL Dry Scrub FF Catalytic Red-14.26153 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed698 6.58E-07 ADL Dry Scrub FF-14.23366 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed2027 6.72E-07 ADL Dry Scrub ESP Non Catalytic Red-14.21232 Dry ScrubESP Non Catalytic Red Dry Scrub ESP Non CatalyticRed ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed1430 6.84E-07 ADL FF Non Catalytic Red-14.19548 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed1133 7.51E-07 BDL Dry Scrub FF-14.10194 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1563 7.70E-07 BDL Dry Scrub FF-14.07684 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1515 8.89E-07 DLL Wet Scrub FF-13.93287 Wet Scrub FFWet Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed134611 8.93E-07 ADL Dry Scrub FF-13.92850 Dry Scrub FFDry Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1327 9.30E-07 DLL Wet Scrub FF-13.88823 Wet Scrub FFWet Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed2028 9.46E-07 ADL Dry Scrub ESP Non Catalytic Red-13.87076 Dry ScrubESP Non Catalytic Red Dry Scrub ESP Non CatalyticRed ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed22269.55E-ADLFF Non Catalytic Red-13.86186FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed07FFNonCatalyticRed13.86186FFNonCatalyticRedFF,FF/NH3UnScrubbed2319 9.77E-07 ADL Wet Scrub FF Catalytic Red-13.83846 Wet Scrub FF Catalytic RedWet Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1190 9.86E-07 ADL FF-13.83007 FFFFFF, FF/NH3UnScrubbed1893 1.05E-06 BDL FF-13.76684 FFFFFF, FF/NH3UnScrubbed995 1.08E-06 DLL Dry Scrub FF-13.73514 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed2170 1.18E-06 BDL FF-13.65224 FFFFFF, FF/NH3UnScrubbed535 1.22E-06 ADL Dry Scrub FF-13.61929 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed2259 1.30E-06 ADL Dry Scrub FF Catalytic Red-13.55522 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed2021 1.31E-06 ADL Dry Scrub FF Non Catalytic Red-13.54516 Dry Scrub FF Non Catalytic Red Dry Scrub FF Non Catalytic Red FF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1835 1.32E-06 BDL FF-13.53781 FFFFFF, FF/NH3UnScrubbed536 1.32E-06 ADL Dry Scrub FF-13.53736 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed2206 1.45E-06 ADL Dry Scrub FF-13.44665 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed2088 1.45E-06 ADL FF Non Catalytic Red-13.44596 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed1884 1.49E-06 ADLESP-FF-13.41441ESP-FFESP-FFFF,FF/NH3UnScrubbed1884 1.49E-06 ADLESP-FF-13.41441ESP-FFESP-FFFF,FF/NH3UnScrubbed511 1.50E-06 BDL Wet Scrub FF Catalytic Red-13.41005 Wet Scrub FF Catalytic RedWet Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1832 1.58E-06 DLL FF-13.36099 FFFFFF, FF/NH3UnScrubbed1532 1.69E-06 ADL Dry Scrub FF-13.28886 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed2207 1.71E-06 ADL Dry Scrub FF-13.27999 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1310 1.76E-06 DLL FF Non Catalytic Red-13.24923 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed1974 1.85E-06 BDL Dry Scrub FF-13.20287 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1021 1.99E-06 ADL ESP-13.12806 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed942 2.06E-06 ADL ESP-13.09367 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1307 2.06E-06 ADL Wet Scrub FF-13.09189 Wet Scrub FFWet Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1997 2.11E-06 ADL Dry Scrub FF Catalytic Red-13.07080 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1833 2.24E-06 DLL FF-13.01095 FFFFFF, FF/NH3UnScrubbedCoal Fired Utility Boilers Selenium DataSubmittal ID EF #/mmBtu Flag ControlsLN EF #/mmBtu Contols-OutControl-Comb1Control-Comb2Final Control Comb1293 2.24E-06 BDL FF Non Catalytic Red-13.00725 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed524 2.28E-06 ADL FF Non Catalytic Red-12.99170 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed524 2.28E-06 ADL FF Non Catalytic Red-12.99170 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed2022 2.29E-06 ADL Dry Scrub FF-12.98655 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed736 2.35E-06 ADL FF-12.96066 FFFFFF, FF/NH3UnScrubbed1372 2.46E-06 DLLESP-12.91664 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1058 2.60E-06 ADL FF-12.86083 FFFFFF, FF/NH3UnScrubbed1060 2.60E-06 ADL FF-12.86083 FFFFFF, FF/NH3UnScrubbed10040004 2.63E-06 ADLESP-12.84814 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed734 2.68E-06 DLL FF-12.82878 FFFFFF, FF/NH3UnScrubbed1606 2.70E-06 ADL FF-12.82299 FFFFFF, FF/NH3UnScrubbed892 2.90E-06 ADL ESP-12.75006 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1651 2.97E-06 ADL FF-12.72708 FFFFFF, FF/NH3UnScrubbed2009 3.16E-06 ADL ESP-12.66584 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed2011 3.16E-06 ADL ESP-12.66339 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed985 3.23E-06 ADL ESP Wet Scrub Cat Red-12.64175ESP Wet Scrub Cat Red-OutESPWet Scrub Cat Red-Out ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub Scrubbed2278 3.39E-06 ADL ESP-12.59354 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1141 3.46E-06 ADL ESP-12.57376 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed15343.65E-ADLWet Scrub FF-12.52043Wet Scrub FFWet Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry ScrubScrubbed06WetScrubFF12.52043WetScrubFFWetScrubFFFF/WetScrub,FF/DryScrub,FF/NH3/WetScrub,FF/NH3/DryScrubScrubbed452145 3.85E-06 ADL FF-12.46759 FFFFFF, FF/NH3UnScrubbed452145 3.85E-06 ADL FF-12.46759 FFFFFF, FF/NH3UnScrubbed735 3.88E-06 ADL FF-12.45950 FFFFFF, FF/NH3UnScrubbed1989 4.36E-06 ADL ESP-12.34225 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed2070 4.60E-06 ADL ESP-12.28950 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1735 4.61E-06 ADL Dry Scrub FF Non Catalytic Red-12.28627 Dry Scrub FF Non Catalytic Red Dry Scrub FF Non Catalytic Red FF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed2013 4.78E-06 ADL ESP-12.25163 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed10040002 4.87E-06 ADL FF Non Catalytic Red-12.23245 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed731 5.07E-06 ADL ESP-12.19176 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1647 5.46E-06 ADL Wet Scrub FF-12.11844 Wet Scrub FFWet Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed2025 5.61E-06 ADL Wet Scrub FF Catalytic Red-12.09111 Wet Scrub FF Catalytic RedWet Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed894 6.31E-06 ADL FF Cat Red-11.97368 FF Cat RedFF NH3FF, FF/NH3UnScrubbed894 6.31E-06 ADL FF Non Catalytic Red-11.97368 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed894 6.31E-06 ADL FF Non Catalytic Red-11.97368 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed1734 6.32E-06 ADL Dry Scrub FF-11.97124 Dry Scrub FFDry Scrub FFFF/Wet Scrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1938 6.45E-06 ADLESP-FF-11.95068ESP-FFESP-FFFF,FF/NH3UnScrubbed1938 6.45E-06 ADLESP-FF-11.95068ESP-FFESP-FFFF,FF/NH3UnScrubbed2135 6.61E-06 ADLESP Non Catalytic Red-11.92633ESP Non Catalytic RedESP/ESP NH3ESP, ESP/NH3UnScrubbed1602 6.92E-06 ADL FF Cat Red-11.88041 FF Cat RedFF NH3FF, FF/NH3UnScrubbed1151 6.99E-06 BDL FF-11.87035 FFFFFF, FF/NH3UnScrubbed1854 8.10E-06 ADL ESP-11.72414 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed966 8.43E-06 ADL FF Wet Scrub Non Catalytic Red-11.68418 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red FF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed966 8.43E-06 ADL FF Wet Scrub Non Catalytic Red-11.68418 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red FF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed966 8.43E-06 ADL FF Wet Scrub Non Catalytic Red-11.68418 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red FF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed966 8.43E-06 ADL FF Wet Scrub Non Catalytic Red-11.68418 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red FF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub ScrubbedCoal Fired Utility Boilers Selenium DataSubmittal ID EF #/mmBtu Flag ControlsLN EF #/mmBtu Contols-OutControl-Comb1Control-Comb2Final Control Comb2239 8.73E-06 ADL ESP Wet Scrub Cat Red -11.64822ESP Wet Scrub Cat Red ESP Wet Scrub Cat RedESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub,ESP/NH3/DryScrub Scrubbed1187 8.91E-06 ADL ESP Wet Scrub Cat Red -11.62850ESP Wet Scrub Cat Red ESP Wet Scrub Cat RedESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub,ESP/NH3/DryScrub Scrubbed1535 9.35E-06 ADL FF Wet Scrub Non Catalytic Red -11.58007 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red FF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed2279 9.37E-06 ADL ESP -11.57817 ESPESP/ESP NH3 ESP, ESP/NH3 UnScrubbed2302 9.91E-06 ADLESP CatalyticRed -11.52178ESP Catalytic Red ESP/ESP NH3 ESP,ESP/NH3UnScrubbed1585 1.05E-05 ADL FF Cat Red-11.46400 FF Cat RedFF NH3FF, FF/NH3UnScrubbed1244 1.05E-05 ADL FF-11.46034 FFFFFF, FF/NH3UnScrubbed2097 1.07E-05 ADL FF-11.44630 FFFFFF, FF/NH3UnScrubbed994 1.13E-05 ADL ESP Wet Scrub Cat Red-11.38834ESP Wet Scrub Cat RedESP Wet Scrub Cat RedESP/Wet Scrub, ESP/Dry Scrub,ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed1185 1.14E-05 ADL ESP Wet Scrub Cat Red-11.38016ESP Wet Scrub Cat RedESP Wet Scrub Cat RedESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub,ESP/NH3/DryScrub Scrubbed63254 1.15E-05 ADL FF-11.37678 FFFFFF, FF/NH3UnScrubbed1648 1.31E-05 ADL Wet Scrub FF-11.24546 Wet Scrub FFWet Scrub FFFF/WetScrub, FF/Dry Scrub, FF/NH3/WetScrub, FF/NH3/Dry Scrub Scrubbed1847 1.36E-05 ADL FF Wet Scrub Non Catalytic Red-11.20524 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red FF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1638 1.40E-05 ADL Dry Scrub FF Catalytic Red-11.17386 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1894 1.43E-05 ADL Dry Scrub ESP Non Catalytic Red-11.15180 Dry ScrubESP Non Catalytic Red Dry Scrub ESP Non CatalyticRed ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed1894 1.43E-05 ADL Dry Scrub ESP Non Catalytic Red-11.15180 Dry ScrubESP Non Catalytic Red Dry Scrub ESP Non CatalyticRed ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed1894 1.43E-05 ADL ESP Wet Scrub Cat Red-11.15180ESP Wet Scrub Cat RedESP Wet Scrub Cat RedESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub,ESP/NH3/DryScrub Scrubbed1894 1.43E-05 ADL FF Wet Scrub Non Catalytic Red-11.15180 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red FF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed128611.45E-ADLESP-11.14322ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed0511.14322ESP/ESPNH3ESP,ESP/NH3UnScrubbed203612 1.45E-05 ADLESP Wet Scrub Cat Red-11.13883ESP Wet Scrub Cat RedESP Wet Scrub Cat RedESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub Scrubbed1154 1.55E-05 ADL FF-11.07663 FFFFFF, FF/NH3UnScrubbed1637 1.60E-05 ADL Dry Scrub FF Catalytic Red-11.04489 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1738 1.60E-05 ADL Wet Scrub FF Catalytic Red-11.04254 Wet Scrub FF Catalytic RedWet Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1558 1.64E-05 ADL Venturi Wet Scrub-11.02028 Venturi Wet ScrubVenturi Wet ScrubScrubbed18261 1.66E-05 ADL Wet Scrub ESP-11.00517 Wet Scrub ESPWet Scrub ESPESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub Scrubbed1915 1.68E-05 ADL Dry Scrub ESP Non Catalytic Red-10.99621 Dry ScrubESP Non Catalytic Red Dry Scrub ESP Non CatalyticRed ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed983 1.73E-05 ADL ESP Wet Scrub Cat Red-10.96707ESP Wet Scrub Cat RedESP Wet Scrub Cat RedESP/Wet Scrub, ESP/Dry Scrub,ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed541 1.73E-05 ADL Wet Scrub FF Catalytic Red-10.96473 Wet Scrub FF Catalytic RedWet Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1984 1.85E-05 ADL Wet Scrub ESP-10.89864 Wet Scrub ESPWet Scrub ESPESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed1984 1.85E-05 ADL Wet Scrub ESP-10.89864 Wet Scrub ESPWet Scrub ESPESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed1984 1.85E-05 ADL Wet Scrub ESP-10.89864 Wet Scrub ESPWet Scrub ESPESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed1984 1.85E-05 ADL Wet Scrub FF Catalytic Red-10.89864 Wet Scrub FF Catalytic RedWet Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1743 1.93E-05 ADL Wet Scrub FF Catalytic Red-10.85324 Wet Scrub FF Catalytic RedWet Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1902 2.23E-05 ADL ESP-10.70884 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed2276 2.31E-05 ADL ESP-10.67492 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed22791 2.32E-05 ADL FF Non Catalytic Red-10.67181 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed21351 2.32E-05 ADLESP Non Catalytic Red-10.67046ESP Non Catalytic RedESP/ESP NH3ESP, ESP/NH3UnScrubbed1176 2.33E-05 ADL Wet Scrub ESP-10.66850 Wet Scrub ESPWet Scrub ESPESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed1176 2.33E-05ADL Wet Scrub FF-10.66850 Wet Scrub FFWet Scrub FFFF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed900 2.37E-05 ADL FF Wet Scrub Non Catalytic Red-10.64834 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red FF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed900 2.37E-05 ADL FF Wet Scrub Non Catalytic Red-10.64834 FF Wet Scrub Non Catalytic Red FF Wet Scrub Non Catalytic Red FF/Wet Scrub,FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1642 2.38E-05 ADL ESP-10.64746 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1642 2.38E-05 ADL ESP-10.64746 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed828 2.38E-05 ADL FF Cat Red-10.64721 FF Cat RedFF NH3FF, FF/NH3UnScrubbedCoal Fired Utility Boilers Selenium DataSubmittal ID EF #/mmBtu Flag ControlsLN EF #/mmBtu Contols-OutControl-Comb1Control-Comb2Final Control Comb1118 2.64E-05 ADL Wet Scrub FF Catalytic Red-10.54386 Wet Scrub FF Catalytic RedWet Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed2103 2.68E-05 ADL ESP-10.52700 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1826 2.71E-05 ADL Wet Scrub ESP-10.51770 Wet Scrub ESPWet Scrub ESPESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed2274 2.86E-05 ADL ESP-10.46249 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed2306 2.86E-05 ADL ESP-10.46066 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed2081 2.93E-05 ADL Wet Scrub FF Catalytic Red-10.43890 Wet Scrub FF Catalytic RedWet Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1119 3.17E-05 ADL Wet Scrub FF Catalytic Red-10.35763 Wet Scrub FF Catalytic RedWet Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1120 3.42E-05 ADL Wet Scrub ESP-10.28236 Wet Scrub ESPWet Scrub ESPESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/WetScrub, ESP/NH3/Dry Scrub Scrubbed2161 3.57E-05 ADL FF Non Catalytic Red-10.23903 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed2195 4.08E-05 ADLESP Non Catalytic Red-10.10793ESP Non Catalytic RedESP/ESP NH3ESP, ESP/NH3UnScrubbed1845 4.10E-05 ADL FF-10.10279 FFFFFF, FF/NH3UnScrubbed1117 4.51E-05 ADL Wet Scrub FF Catalytic Red-10.00646 Wet Scrub FF Catalytic RedWet Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed2055 5.10E-05 ADL Dry Scrub FF Catalytic Red-9.88290 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed1113 5.15E-05 ADL ESP-9.87398 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1597 5.29E-05 ADL FF-9.84661 FFFFFF, FF/NH3UnScrubbed908 5.40E-05 ADL Dry Scrub FF Catalytic Red-9.82670 Dry Scrub FF Catalytic RedDry Scrub FF Catalytic Red FF/Wet Scrub, FF/Dry Scrub,FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Scrubbed979 6.42E-05 ADL ESP-9.65368 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1004 6.59E-05 ADLESP CatalyticRed-9.62740ESP Catalytic RedESP/ESP NH3ESP,ESP/NH3UnScrubbed21797.29E-ADLESP-9.52608ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed059.52608ESP/ESPNH3ESP,ESP/NH3UnScrubbed2179 7.29E-05 ADL ESP-9.52608 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed879456 7.67E-05 ADL FF Non Catalytic Red-9.47596 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed1330 8.35E-05 ADL Dry Scrub ESP Non Catalytic Red-9.39068 Dry ScrubESP Non Catalytic Red-Out Dry ScrubESP Non Catalytic Red-OuESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub Scrubbed1330 8.35E-05 ADL ESP Wet Scrub Cat Red-9.39068ESP Wet Scrub Cat Red-OutESPWet Scrub Cat Red-Out ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub Scrubbed1636 8.45E-05 ADL ESP-9.37921 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1636 8.45E-05 ADL ESP-9.37921 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1178 8.71E-05 ADL ESP-9.34856 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1809 9.20E-05 ADLESP CatalyticRed-9.29351ESP Catalytic RedESP/ESP NH3ESP,ESP/NH3UnScrubbed1754 1.04E-04 ADL ESP-9.16750 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1286 1.17E-04 ADL ESP-9.05598 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed632 1.18E-04 ADL FF Non Catalytic Red-9.04546 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed975 1.18E-04 ADL ESP-9.04419 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1471 1.26E-04 ADLESP-FF-8.98079ESP-FFESP-FFFF,FF/NH3UnScrubbed1471 1.26E-04 ADLESP-FF-8.98079ESP-FFESP-FFFF,FF/NH3UnScrubbed993 1.36E-04 ADL ESP-8.90632 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1111 1.42E-04 ADL ESP-8.86304 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed1906 1.66E-04 ADL ESP-8.70254 ESPESP/ESP NH3ESP, ESP/NH3UnScrubbed981 1.90E-04 ADL FF Non Catalytic Red-8.56587 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed8761 2.39E-04 ADL FF-8.33900 FFFFFF, FF/NH3UnScrubbed1455 2.53E-04ADL ESP-8.28252ESPESP/ESP NH3ESP,ESP/NH3UnScrubbed903 3.16E-04 ADL FF Non Catalytic Red-8.05882 FF Non Catalytic RedFF NH3FF, FF/NH3UnScrubbed876 3.32E-04 ADL FF-8.01169 FFFFFF, FF/NH3UnScrubbed10000000 1.34E-06 ADL Dry Scrub FF-13.52284 Dry Scrub FF-OutDry Scrub FF-OutFF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub ScrubbedCoal Fired Utility Boiler Selenium Emissions Factors by Control Types1.627 2.797N/A N/AN/A N/A-0.242 -0.955 N/A2.851 8.337 N/A1.713 2.872 N/A3.615 12.73 N/A1.223 -0.845 N/A2.838 8.306 N/A0.0886 N/A N/A-1.009 N/A N/AN/AN/A N/A N/Ay2.087 3.225 N/A5.829 33.98 N/A2.162 4.969 N/AN/A N/A N/Aewness Kurtosis CVN/A0.314 -0.155 N/A2.35 5.382 N/AN/A N/A N/AFrom File: C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium\EF Data.wstSummary Statistics for Raw Full Data SetsVariableNumObsMinimumMaximumMeanMedianVarianceSDMAD/0.675 SkESP382.15E-072.53E-044.75E-05 2.35E-053.43E-095.86E-053.07E-05Dry Scrub, ESP19.33E-089.33E-089.33E-08 9.33E-08N/A N/AN/A N/A0ESP, Wet Srub101.44E-073.42E-05 1.57E-05 1.85E-051.41E-101.19E-059.93E-06Dry Scrub, ESP, Non catalytic red66.72E-078.35E-05 2.18E-05 1.43E-059.65E-103.11E-051.18E-05ESP, Catalytic red39.91E-069.20E-05 5.59E-05 6.59E-051.76E-094.19E-053.87E-05ESP, Non catalytic red36.61E-064.08E-05 2.35E-05 2.32E-052.92E-101.71E-052.46E-05ESP, Wet Scrub, Cat red93.23E-068.35E-05 1.92E-05 1.14E-055.97E-102.44E-054.30E-06FF299.21E-083.32E-042.61E-05 2.68E-065.46E-097.39E-052.51E-06ESP-FF75.77E-071.26E-04 3.84E-05 6.45E-063.59E-095.99E-057.35E-06FF, Cat red46.31E-062.38E-051.19E-05 8.71E-066.65E-118.16E-063.11E-06FF, Non catalytic red231.61E-083.16E-043.44E-05 2.24E-065.93E-097.70E-053.22E-06Dry Scrub, FF344.07E-084.18E-041.31E-05 4.92E-075.12E-097.16E-055.24E-07Dry Scrub, FF, Catalytic red151.37E-085.40E-059.41E-06 6.30E-073.32E-101.82E-059.13E-07DryScrubFF,Non catal,ytic red21.31E-064.61E-062.96E-06 2.96E-065.45E-122.33E-062.45E-06.45FF, WetScrub131.33E-072.33E-053.91E-06 8.89E-074.71E-116.86E-061.06E-06FF, Wet Scrub, Non catalytic red98.43E-062.37E-051.32E-05 9.35E-064.10E-116.40E-061.36E-06 1.148 -0.268 N/AFF, Wet Scrub, Catalytic red119.77E-074.51E-051.92E-05 1.85E-051.83E-101.35E-051.60E-05Venturi WetScrub11.64E-051.64E-051.64E-05 1.64E-05N/A N/AN/A N/A0Coal Fired Utility Boiler Selenium Emissions Factors by Control Types2.21E-05.16E-05 1.72E-05.78E-05 3.10E-05 3.36E-051.64E-05 1.64E-05 1.64E-052.88E-04.10E-04 1.83E-04.98E-05 2.18E-05 2.34E-054.34E-05 1.65E-04 3.06E-041.26E-04.26E-04 1.26E-04.05E-05 5.70E-05 7.82E-053.73E-05 3.90E-05 4.04E-059.15E-05.68E-05 8.94E-05.23E-04 1.46E-04 2.21E-044.28E-06 4.45E-06 4.58E-065.36E-05.70E-05 5.19E-05.81E-06 3.70E-06 2.82E-045.02E-05 6.68E-05 8.02E-059.33E-08.33E-08 9.33E-0890%ile 95%ile 99%ile3.17E-05 3.84E-05 4.38E-05Percentiles for Raw Full Data SetsVariableNumObs5%ile10%ile20%ile25%ile(Q1)50%ile(Q2)75%ile(Q3)80%ileDry Scrub, ESP19.33E-089.33E-089.33E-098.33E-089.33E-089.33E-089.33E-08 9Dry Scrub, ESP, Non catalytic red67.41E-078.09E-07 9.46E-07 4.28E-061.43E-051.62E-051.68E-05Dry Scrub, FF344.94E-081.23E-071.83E-07 2.17E-074.92E-071.19E-061.37E-06 1Dry Scrub, FF, Catalytic red151.43E-081.48E-086.60E-018.82E-076.30E-078.06E-061.44E-05 3Dry Scrub, FF, Non catalytic red21.48E-061.64E-061.97E-06 2.14E-062.96E-063.79E-063.95E-06ESP382.05E-062.58E-063.25E-06 3.69E-062.35E-058.16E-058.61E-05 1ESP, Catalytic red31.55E-052.11E-05 33.23E-05.79E-056.59E-057.90E-058.16E-05 8ESP, Non catalytic red38.27E-069.93E-06 1.32E-05 1.49E-052.32E-053.20E-053.38E-05ESP, Wet Scrub, Cat red95.43E-067.63E-06 8.84E-06 8.91E-061.14E-051.45E-051.56E-05 3ESP-FF78.51E-071.12E-06 11.49E-06.49E-066.45E-066.62E-051.02E-04 1FF291.43E-073.91E-071.02E-06 1.18E-062.68E-061.05E-051.10E-05FF, Cat red46.40E-066.49E-066.68E-06 6.77E-068.71E-061.38E-051.58E-05 1FF, Non catalytic red235.44E-086.93E-085.90E-067.00E-072.24E-061.48E-053.07E-05 1Venturi WetScrub11.64E-051.64E-051.64E-05 1.64E-051.64E-051.64E-051.64E-05ESP, Wet Srub101.87E-072.30E-073.09E-07 4.39E-061.85E-052.21E-052.41E-05 2FF, WetScrub131.56E-071.73E-071.84E-017.92E-078.89E-073.65E-064.74E-06 1FF, Wet Scrub, Catalytic red111.24E-061.50E-065.61E-06 1.08E-051.85E-052.79E-052.93E-05FF, Wet Scrub, Non catalytic red98.43E-068.43E-068.43E-06 8.43E-069.35E-061.43E-051.81E-05 2.37E-05 2.37E-05 2.37E-05dry scruber ESP dry scrubber ESP Non catalytic reduction dry scrubber FF dry scrubber FF catalytic reduction

dry scrubber FF non catalytic reduction ESP ESP catalytic reduction ESP non catalytic reduction ESP wet scrubber catalytic reduction ESP FF FF FF catalytic reduction FF non catalytic reduction

FF wet scrubber non catalytic reduction venturi wet scrubber ESP wet scrubber FF wet scrubber FF catalytic reduction wet scrubberFrom F ile C:\Documents and Settings \All Users\D esktop\EPA _Data Syste ms\Utility_B oiler_ EF-Data\_E Full Precisi on OFF Test for S uspected Ou tliers with Dixon te st 1 Test for Sus pected Out liers with Rosner te st 5

Number of data = 6 10% critical val ue: 0.482 5% critical value : 0.56 1% critical value : 0.698

Test Statistic: 0 .333
For 10% signific ance level, -9.390675269 is n ot an outlier. For 5% significa nce level, - 9.390675269 is no t an o utlier. For 1% significa nce level, - 9.390675269 is no t an o utlier.

Test Statistic: 0 .071
For 10% signific ance level, -14.21231575 is n ot an outlier. For 5% significa nce level, - 14.21231575 is no t an o utlier. For 1% significa nce level, - 14.21231575 is no t an o utlier.

ential Obs. Test Critical Critical # Mean sd utlier Number value value (5%) value (1%) 1 -14.41 1.626 7.779 34 4.079 2.97 3.3 2 -14.61 1.18 1.97 33 2.238 2.95 3.29 3 -14.7 1.098 7.02 1 2.115 2.94 3.27 4 -14.62 1.03 6.88 2 2.193 2.91 3.25 5 -14.54 0.956 6.79 3 2.35 2.91 3.24
For 5% Signific ance Level, there is 1 Potentia l Outl ier Therefore, Obs ervation -7.7 79 is a Potential S tatist ical OutlierFor 1% Signific ance Level, there is 1 Potentia l Outl ier Therefore, Obs ervation -7.7 79 is a Potential S tatist ical Outlier

Number of data = 15 10% critical val ue: 0.472 5% critical value : 0.525 1% critical value : 0.616

Test Statistic: 0 .149
For 10% signific ance level, -9.826704017 is n ot an outlier. For 5% significa nce level, - 9.826704017 is no t an o utlier. For 1% significa nce level, - 9.826704017 is no t an o utlier.

Test Statistic: 0 .016
For 10% signific ance level, -18.1075005 is no t an o utlier. For 5% significa nce level, - 18.1075005 is not an ou tlier. For 1% significa nce level, - 18.1075005 is not an ou tlier.

ential Obs. Test Critical Critical # Mean sd utlier Number value value (5%) value (1%) 1 -10.97 1.663 5.35 1 2.635 3.01 3.36 2 -10.85 1.54 8.283 38 1.67 3 3.34 3 -10.93 1.498 8.703 37 1.483 2.99 3.33 4 -10.99 1.47 3.13 2 1.455 2.98 3.32 5 -10.93 1.444 3.09 3 1.501 2.97 3.3
For 5% Signific ance Level, there is no Potenti al Ou tlier
For 1% Signific ance Level, there is no Potenti al Ou tlierNumber of data = 3 10% critical val ue: 0.886 5% critical value : 0.941 1% critical value : 0.988

Test Statistic: 0 .150
For 10% signific ance level, -9.29351481 is no t an o utlier. For 5% significa nce level, - 9.29351481 is not an ou tlier. For 1% significa nce level, - 9.29351481 is not an ou tlier.

Test Statistic: 0 .850
For 10% signific ance level, -11.52177912 is n ot an outlier. For 5% significa nce level, - 11.52177912 is no t an o utlier. For 1% significa nce level, - 11.52177912 is no t an o utlier.

Number of data = 3 10% critical val ue: 0.886 5% critical value : 0.941 1% critical value : 0.988

Test Statistic: 0 .309
For 10% signific ance level, -10.10793455 is n ot an outlier. For 5% significa nce level, - 10.10793455 is no t an o utlier. For 1% significa nce level, - 10.10793455 is no t an o utlier.

Test Statistic: 0 .691
For 10% signific ance level, -11.92633195 is n ot an outlier. For 5% significa nce level, - 11.92633195 is no t an o utlier. For 1% significa nce level, - 11.92633195 is no t an o utlier.

Number of data = 9 10% critical val ue: 0.441 5% critical value : 0.512 1% critical value : 0.635Test Statistic: 0 .698
For 10% signific ance level, -9.390675269 is a n out lier. For 5% significa nce level, - 9.390675269 is an outlie r. For 1% significa nce level, - 9.390675269 is an outlie r.

Test Statistic: 0 .593
For 10% signific ance level, -12.64174573 is a n out lier. For 5% significa nce level, - 12.64174573 is an outlie r. For 1% significa nce level, - 12.64174573 is no t an o utlier.

Number of data = 7 10% critical val ue: 0.434 5% critical value : 0.507 1% critical value : 0.637

Test Statistic: 0 .000
For 10% signific ance level, -8.980787974 is n ot an outlier. For 5% significa nce level, - 8.980787974 is no t an o utlier. For 1% significa nce level, - 8.980787974 is no t an o utlier.

Test Statistic: 0 .177
For 10% signific ance level, -14.36474903 is n ot an outlier. For 5% significa nce level, - 14.36474903 is no t an o utlier. For 1% significa nce level, - 14.36474903 is no t an o utlier.

ential Obs. Test Critical Critical # Mean sd utlier Number value value (5%) value (1%) 1 -12.62 1.92 8.012 29 2.399 2.89 3.22 2 -12.78 1.774 8.339 28 2.506 2.88 3.23 -12.95 1.575 -16.2 1 2.066 2.86 3.18 4 -12.82 1.462 -16.2 2 2.31 2.84 3.16 5 -12.69 1.317 9.847 27 2.158 2.82 3.14
For 5% Signific ance Level, there is no Potenti al Ou tlier
For 1% Signific ance Level, there is no Potenti al Ou tlier

Number of data = 4 10% critical val ue: 0.679 5% critical value : 0.765 1% critical value : 0.889

Test Statistic: 0 .616
For 10% signific ance level, -10.64720528 is n ot an outlier. For 5% significa nce level, - 10.64720528 is no t an o utlier. For 1% significa nce level, - 10.64720528 is no t an o utlier.

Test Statistic: 0 .070
For 10% signific ance level, -11.97367608 is n ot an outlier. For 5% significa nce level, - 11.97367608 is no t an o utlier. For 1% significa nce level, - 11.97367608 is no t an o utlier.

Number of data = 23 10% critical val ue: 0.374 5% critical value : 0.421 1% critical value : 0.505

Test Statistic: 0 .116
For 10% signific ance level, -8.058822814 is n ot an outlier. For 5% significa nce level, - 8.058822814 is no t an o utlier. For 1% significa nce level, - 8.058822814 is no t an o utlier.

Test Statistic: 0 .159
For 10% signific ance level, -17.94639244 is n ot an outlier.For 5% significa nce level, - 17.94639244 is no t an o utlier. For 1% significa nce level, - 17.94639244 is no t an o utlier.

Number of data = 9 10% critical val ue: 0.441 5% critical value : 0.512 1% critical value : 0.635

Test Statistic: 0 .000
For 10% signific ance level, -10.64833781 is n ot an outlier. For 5% significa nce level, - 10.64833781 is no t an o utlier. For 1% significa nce level, - 10.64833781 is no t an o utlier.

Test Statistic: 0 .000
For 10% signific ance level, -11.68418494 is n ot an outlier. For 5% significa nce level, - 11.68418494 is no t an o utlier. For 1% significa nce level, - 11.68418494 is no t an o utlier.

Number of data = 10 10% critical val ue: 0.409 5% critical value : 0.477 1% critical value : 0.597

Test Statistic: 0 .047
For 10% signific ance level, -10.28236236 is n ot an outlier. For 5% significa nce level, - 10.28236236 is no t an o utlier. For 1% significa nce level, - 10.28236236 is no t an o utlier.

Test Statistic: 0 .096
For 10% signific ance level, -15.75242166 is n ot an outlier. For 5% significa nce level, - 15.75242166 is no t an o utlier. For 1% significa nce level, - 15.75242166 is no t an o utlier.Number of data = 13 10% critical val ue: 0.467 5% critical value : 0.521 1% critical value : 0.615

Test Statistic: 0 .295
For 10% signific ance level, -10.66849782 is n ot an outlier. For 5% significa nce level, - 10.66849782 is no t an o utlier. For 1% significa nce level, - 10.66849782 is no t an o utlier.

Test Statistic: 0 .065
For 10% signific ance level, -15.83659981 is n ot an outlier. For 5% significa nce level, - 15.83659981 is no t an o utlier. For 1% significa nce level, - 15.83659981 is no t an o utlier.

Number of data = 11 10% critical val ue: 0.517 5% critical value : 0.576 1% critical value : 0.679

Test Statistic: 0 .127
For 10% signific ance level, -10.00645689 is n ot an outlier. For 5% significa nce level, - 10.00645689 is no t an o utlier. For 1% significa nce level, - 10.00645689 is no t an o utlier.

Test Statistic: 0 .502
For 10% signific ance level, -13.83845884 is n ot an outlier. For 5% significa nce level, - 13.83845884 is no t an o utlier. For 1% significa nce level, - 13.83845884 is no t an o utlier.From File C:\Docume nts and Settings\All Users \Desktop\E PA_Data Sy stems\Utilit y_Boiler_EF -Data\_EF_ Analysis\Se lenium\EF D Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Equa l to Backgro und Mean (Form 1) A lternative Hy pothesis Site or AOC Mean Greater Than the B ackground Mean

ESP - Catalytic reduction ESP Number o f Valid Obs ervations 3 38 Number of D istinct Obs ervations 3 33

Minimum 9.9100E-6 2.1500E-7 M aximum 9.2000E-5 2.5300E-4 Mean 5.5937E-5 4.7548E-5 Median 6.5900E-5 2.3450E-5 SD 4.1942E-5 5.8600E-5 SE

of Mean 2.4215E-5 9.5062E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 39 0.242 1.685 0.405 Welch-Satte rthwaite (U nequal Varia 2.7 0.322 2.353 0.385 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Site <= Backgrou nd * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude Site <= Backg round

Varian ce of Site 1.7591E-9 Var iance of Ba ckground 3.4340E-9

Numera tor DF Denomin ator DF F-Test Value P-Value 3 7 2 1.952 0.793 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Set tings\All Use rs\Desktop\EPA_Da ta Systems \Utility_Boil er_EF-Data\ _EF_Analys is\Selenium Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Background M ean (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Background Mean

ESP ESP - Non C atalytic Reduction Number o f Valid Obs ervations 38 3 Number of D istinct Obs ervations 33 3

Minimum 2.1500E-7 6.6100E-6 M aximum 2.5300E-4 4.0800E-5 Mean 4.7548E-5 2.3537E-5 Median 2.3450E-5 2.3200E-5 SD 5.8600E-5 1.7097E-5 SE

of Mean 9.5062E-6 9.8712E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 39 0.700 1.685 0.244 Welch-Satte rthwaite (U nequal Varia 7.1 1.752 1.895 0.061 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 3.4340E-9 Var iance of Ba ckground 2.923E-10

Numera tor DF Denomin ator DF F-Test Value P-Value 3 7 2 11.7 47 0.163 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Settings \All Users\D esktop\EPA _Data Sys tems\Utility_ Boiler_EF-D ata\_EF_A nalysis\Sele Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Th an or Equal to Backgrou nd Mean (F orm 1) A lternative Hy pothesis Site or AOC Mean Greater Than the Ba ckground M ean

ESP - Cat Red ESP - Non C at Red Number o f Valid Obs ervations 3 3 Number of D istinct Obs ervations 3 3

Minimum 9.9100E-6 6.6100E-6 M aximum 9.2000E-5 4.0800E-5 Mean 5.5937E-5 2.3537E-5 Median 6.5900E-5 2.3200E-5 SD 4.1942E-5 1.7097E-5 SE

of Mean 2.4215E-5 9.8712E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 4 1.239 2.132 0.142 Welch-Satte rthwaite (U nequal Varia 2.6 1.239 2.353 0.157 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Site <= Backgroun d * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude Site <= Backgro und

Varian ce of Site 1.7591E-9 Var iance of Ba ckground 2.923E-10

Numera tor DF Denomin ator DF F-Test V alue P-Value 2 2 6.018 0.285 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Settings \All Users\D esktop\EPA _Data Sys tems\Utility_ Boiler_EF-D ata\_EF_A nalysis\Sele Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Th an or Equal to Backgrou nd Mean (F orm 1) A lternative Hy pothesis Site or AOC Mean Greater Than the Ba ckground M ean

ESP - Cat Red ESP - Non C at Red Number o f Valid Obs ervations 3 3 Number of D istinct Obs ervations 3 3

Minimum 9.9100E-6 6.6100E-6 M aximum 9.2000E-5 4.0800E-5 Mean 5.5937E-5 2.3537E-5 Median 6.5900E-5 2.3200E-5 SD 4.1942E-5 1.7097E-5 SE

of Mean 2.4215E-5 9.8712E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 4 1.239 2.132 0.142 Welch-Satte rthwaite (U nequal Varia 2.6 1.239 2.353 0.157 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Site <= Backgroun d * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude Site <= Backgro und

Varian ce of Site 1.7591E-9 Var iance of Ba ckground 2.923E-10

Numera tor DF Denomin ator DF F-Test V alue P-Value 2 2 6.018 0.285 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Set tings\All Use rs\Desktop\ EPA_Data Systems\Ut ility_Boiler_E F-Data\_EF _Analysis\S Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP ESP - NH3 Injection Number o f Valid Obs ervations 38 6 Number of D istinct Obs ervations 33 6

Minimum 2.1500E-7 6.6100E-6 M aximum 2.5300E-4 9.2000E-5 Mean 4.7548E-5 3.9737E-5 Median 2.3450E-5 3.2000E-5 SD 5.8600E-5 3.3697E-5 SE

of Mean 9.5062E-6 1.3757E-5

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 42 0.316 1.682 0.377 Welch-Satte rthwaite (U nequal Varia 10.6 0.467 1.796 0.325 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 3.4340E-9 Var iance of Ba ckground 1.1355E-9

Numera tor DF Denomin ator DF F-Test Value P-Value 3 7 5 3.0 24 0.218 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Set tings\All Use rs\Desktop\ EPA_Data Systems\Ut ility_Boiler_E F-Data\_EF _Analysis\S Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP ESP Wet Sc rubber Number o f Valid Obs ervations 38 10 Number of D istinct Obs ervations 33 8

Minimum 2.1500E-7 1.4400E-7 M aximum 2.5300E-4 3.4200E-5 Mean 4.7548E-5 1.5741E-5 Median 2.3450E-5 1.8500E-5 SD 5.8600E-5 1.1887E-5 SE

of Mean 9.5062E-6 3.7590E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 46 1.694 1.679 0.048 Welch-Satte rthwaite (U nequal Varia 45.0 3.111 1.679 0.002 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 3.4340E-9 Var iance of Ba ckground 1.413E-10

Numera tor DF Denomin ator DF F-Test Value P-Value 3 7 9 24.3 03 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File WorkSheet. wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP-FF Fabric Filter Number o f Valid Obs ervations 7 29 Number of D istinct Obs ervations 4 26

Minimum 5.7700E-7 9.2100E-8 M aximum 1.2600E-4 3.3200E-4 Mean 3.8351E-5 2.6114E-5 Median 6.4500E-6 2.6800E-6 SD 5.9923E-5 7.3871E-5 SE

of Mean 2.2649E-5 1.3718E-5

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 34 0.406 1.691 0.344 Welch-Satte rthwaite (U nequal Varia 10.9 0.462 1.796 0.327 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 3.5907E-9 Var iance of Ba ckground 5.4569E-9

Numera tor DF Denomin ator DF F-Test Value P-Value 28 6 1.5 20 0.633 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Set tings\All Use rs\Desktop\ EPA_Data Systems\Ut ility_Boiler_E F-Data\_EF _Analysis\S Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

ESP Fabric Filter Number o f Valid Obs ervations 38 29 Number of D istinct Obs ervations 33 26

Minimum 2.1500E-7 9.2100E-8 M aximum 2.5300E-4 3.3200E-4 Mean 4.7548E-5 2.6114E-5 Median 2.3450E-5 2.6800E-6 SD 5.8600E-5 7.3871E-5 SE

of Mean 9.5062E-6 1.3718E-5

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 65 1.325 1.669 0.095 Welch-Satte rthwaite (U nequal Varia 52.2 1.284 1.675 0.102 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 3.4340E-9 Var iance of Ba ckground 5.4569E-9

Numera tor DF Denomin ator DF F-Test Value P-Value 28 3 7 1.5 89 0.186 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Set tings\All Use rs\Desktop\ EPA_Data Systems\Ut ility_Boiler_E F-Data\_EF _Analysis\S Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

FF FF - Catalyt ic Reductio Number o f Valid Obs ervations 29 4 Number of D istinct Obs ervations 26 4

Minimum 9.2100E-8 6.3100E-6 M aximum 3.3200E-4 2.3800E-5 Mean 2.6114E-5 1.1883E-5 Median 2.6800E-6 8.7100E-6 SD 7.3871E-5 8.1571E-6 SE

of Mean 1.3718E-5 4.0786E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 31 0.380 1.696 0.353 Welch-Satte rthwaite (U nequal Varia 30.9 0.994 1.696 0.164 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 5.4569E-9 Var iance of Ba ckground 6.654E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 28 3 82.0 11 0.004 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Settings\All Users\De sktop\EPA_ Data Syste ms\Utility_B oiler_EF-Da ta\_EF_Ana lysis\Selen ium\EF Dat Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Equal to Backgroun d Mean (Fo rm 1) A lternative Hy pothesis Site or AOC Mean Greater Than the Bac kground Me an

FF - Non Catalytic Reduction FF Number o f Valid Obs ervations 23 29 Number of D istinct Obs ervations 20 26

Minimum 1.6100E-8 9.2100E-8 M aximum 3.1600E-4 3.3200E-4 Mean 3.4380E-5 2.6114E-5 Median 2.2400E-6 2.6800E-6 SD 7.7023E-5 7.3871E-5 SE

of Mean 1.6060E-5 1.3718E-5

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 50 0.393 1.676 0.348 Welch-Satte rthwaite (U nequal Varia 46.4 0.391 1.679 0.349 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Site <= Background * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude Site <= Backgroun d

Varian ce of Site 5.9326E-9 Var iance of Ba ckground 5.4569E-9

Numera tor DF Denomin ator DF F-Test Value P-Value 22 28 1.087 0.824 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Settings\All Users\Desk top\EPA_D ata Systems\ Utility_Boile r_EF-Data\_ EF_Analysi s\Selenium\ EF Data.ws Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Equal to B ackground M ean (Form 1 ) A lternative Hy pothesis Site or AOC Mean Greater Than the Backg round Mean

FF - Non Catalytic Reduction FF - Catalyt ic reduction Number o f Valid Obs ervations 23 4 Number of D istinct Obs ervations 20 4

Minimum 1.6100E-8 6.3100E-6 M aximum 3.1600E-4 2.3800E-5 Mean 3.4380E-5 1.1883E-5 Median 2.2400E-6 8.7100E-6 SD 7.7023E-5 8.1571E-6 SE

of Mean 1.6060E-5 4.0786E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 25 0.574 1.708 0.285 Welch-Satte rthwaite (U nequal Varia 24.2 1.358 1.711 0.094 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Site <= Background * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude Site <= Background

Varian ce of Site 5.9326E-9 Var iance of Ba ckground 6.654E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 22 3 89.159 0.003 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Settings\All Users\Desk top\EPA_Da ta Systems \Utility_Boile r_EF-Data\ _EF_Analys is\Selenium Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Equal to Ba ckground M ean (Form 1) A lternative Hy pothesis Site or AOC Mean Greater Than the Backgr ound Mean

FF - NH3 Injection FF Number o f Valid Obs ervations 27 29 Number of D istinct Obs ervations 23 26

Minimum 1.6100E-8 9.2100E-8 M aximum 3.1600E-4 3.3200E-4 Mean 3.1047E-5 2.6114E-5 Median 2.2800E-6 2.6800E-6 SD 7.1371E-5 7.3871E-5 SE

of Mean 1.3735E-5 1.3718E-5

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 54 0.254 1.674 0.400 Welch-Satte rthwaite (U nequal Varia 53.9 0.254 1.674 0.400 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Site <= Bac kground * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude Site <= B ackground

Varian ce of Site 5.0939E-9 Var iance of Ba ckground 5.4569E-9

Numera tor DF Denomin ator DF F-Test Valu e P-Value 28 2 6 1.071 0.863 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lFrom File C:\Docume nts and Set tings\All Use rs\Desktop\ EPA_Data Systems\Ut ility_Boiler_E F-Data\_EF _Analysis\S Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

FF FF - dry Scr uber Number o f Valid Obs ervations 29 33 Number of D istinct Obs ervations 26 32

Minimum 9.2100E-8 4.0700E-8 M aximum 3.3200E-4 6.3200E-6 Mean 2.6114E-5 8.3907E-7 Median 2.6800E-6 4.8500E-7 SD 7.3871E-5 1.1492E-6 SE

of Mean 1.3718E-5 2.0005E-7

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 60 1.968 1.671 0.027 Welch-Satte rthwaite (U nequal Varia 28.0 1.842 1.701 0.038 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Bac kground * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Ba ckground

Varian ce of Site 5.4569E-9 Var iance of Ba ckground 1.321E-12

Numera tor DF Denomin ator DF F-Test Value P-Value 28 32 4132 .103 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Set tings\All Use rs\Desktop\ EPA_Data Systems\Ut ility_Boiler_E F-Data\_EF _Analysis\S Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Eq ual to Backg round Mea n (Form 1) A lternative Hy pothesis Site or AOC Mean Grea ter Than the Backgroun d Mean

FF FF - Wet Sc rubber Number o f Valid Obs ervations 29 13 Number of D istinct Obs ervations 26 13

Minimum 9.2100E-8 1.3300E-7 M aximum 3.3200E-4 2.3300E-5 Mean 2.6114E-5 3.9113E-6 Median 2.6800E-6 8.8900E-7 SD 7.3871E-5 6.8623E-6 SE

of Mean 1.3718E-5 1.9032E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 40 1.074 1.684 0.145 Welch-Satte rthwaite (U nequal Varia 29.1 1.603 1.699 0.060 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Sit e <= Backgr ound * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude S ite <= Back ground

Varian ce of Site 5.4569E-9 Var iance of Ba ckground 4.709E-11

Numera tor DF Denomin ator DF F-Test Value P-Value 28 12 115. 881 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Set tings\All Users\Des ktop\EPA_Data Systems\U tility_Boiler_ EF-Data\_E F_Analysis\Selen Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -10.91 1.593 -15.35 1 2.789 3.08 3.43 2 -10.81 1.475 -8.283 44 1.712 3.07 3.41 3 -10.87 1.439 -13.13 2 1.571 3.06 3.4 4 -10.81 1.411 -13.09 3 1.616 3.05 3.39 5 -10.76 1.381 -12.92 4 1.565 3.04 3.38
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -11.9 1.866 -16.19 1 2.298 2.84 3.16 2 -11.73 1.725 -15.75 2 2.333 2.82 3.14 3 -11.56 1.54 -15.25 3 2.394 2.8 3.11 4 -11.4 1.354 -14.94 4 2.612 2.78 3.09 5 -11.24 1.139 -14.21 5 2.609 2.76 3.06
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierPotential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -12.48 2.103 -8.012 62 2.123 3.212 3.572 2 -12.55 2.058 -8.059 61 2.183 3.202 3.564 3 -12.62 1.989 -8.339 60 2.154 3.202 3.562 4 -12.7 1.925 -8.566 59 2.147 3.192 3.552 5 -12.77 1.861 -16.75 1 2.14 3.184 3.544
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -13.54 2.179 -7.779 85 2.646 3.33 3.695 2 -13.61 2.111 -18.11 1 2.129 3.32 3.69 3 -13.56 2.064 -18.05 2 2.176 3.32 3.685 4 -13.5 2.015 -17.99 3 2.228 3.315 3.68 5 -13.45 1.964 -17.95 4 2.29 3.31 3.675
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierFrom File C:\Documents an d Settings\All User s\Desktop\EPA_Dat a Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium\EF Data.wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Equ al to Background Me an (Form 1) A lternative Hy pothesis Site or AOC Mean Greater Than the Background Mean

ESP, ESP/NH3 ESP/Wet Scrub, ES P/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub Nu mber of Vali d Observations 44 26 Numb er of Distinc t Observations 39 21 Minimum 2.1500E-7 9.3300E-8 Maximum 2.5300E-4 8.3500E-5 Mean 4.6482E-5 1.7738E-5 Median 2.3500E-5 1.4300E-5 SD 5.5626E-5 2.1301E-5 SE of Mean 8.3859E-6 4.1775E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 68 2.522 1.668 0.007 Welch-Satte rthwaite (U nequal Varia 60.6 3.068 1.670 0.002 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Background * Welch-Sa tterthwaite Test: Rejec t H0, Conclude Sit e > Background

V ariance of Site 3.0942E-9 Variance of Background 4.537E-10

Numera tor DF Deno minator DF F-Test Value P-Value 4 3 25 6.8 19 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Documents and Settings\A ll Users\Desktop\E PA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\ Selenium\EF Data.wst Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC M ean Less Than or Equal to Backgro und Mean (Form 1) A lternative Hy pothesis Site or AOC M ean Greater Th an the Background Mean

FF, FF/NH3 FF/Wet Scrub, FF/ Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Numbe r of Valid O bservations 63 84 Number of Distinct O bservations 51 77 Minimum 1.6100E-8 1.3700E-8 Maximum 3.3200E-4 4.1800E-4 Mean 2.9588E-5 1.1590E-5 Median 2.6800E-6 1.0285E-6 SD 7.0451E-5 4.6316E-5 SE of Mean 8.8759E-6 5.0535E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 145 1.866 1.655 0.032 Welch-Satte rthwaite (U nequal Varia 100.8 1.762 1.660 0.041 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude S ite > Backgroun d * Welch-Sa tterthwaite Test: Rejec t H0, Conclude Site > Backgro und

Vari ance of Site 4.9633E-9 V ariance of Background 2.1452E-9

Numera tor DF Denom inator DF F-Tes t Value P-Value 62 83 2 .314 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFrom File C:\Docume nts and Settings\A ll Users\Desk top\EPA_D ata Systems \Utility_Boil er_EF-Data \_EF_Analy sis\Selenium Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Than or Equal to B ackground M ean (Form 1) A lternative Hy pothesis Site or AOC Mean Greater Th an the Backg round Mean

ESP, ESP/NH3 FF, FF/NH3 Number o f Valid Obs ervations 44 63 Number of D istinct Obs ervations 39 51

Minimum 2.1500E-7 1.6100E-8 M aximum 2.5300E-4 3.3200E-4 Mean 4.6482E-5 2.9588E-5 Median 2.3500E-5 2.6800E-6 SD 5.5626E-5 7.0451E-5 SE

of Mean 8.3859E-6 8.8759E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 105 1.327 1.659 0.094 Welch-Satte rthwaite (U nequal Varia 103.4 1.384 1.660 0.085 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Do Not R eject H0, C onclude Site <= B ackground * Welch-Sa tterthwaite Test: Do No t Reject H0 , Conclude Site <= Background

Varian ce of Site 3.0942E-9 Var iance of Ba ckground 4.9633E-9

Numera tor DF Denomin ator DF F-Test Va lue P-Value 62 4 3 1.604 0.104 Conclusion with Alpha = 0.05 * Two varia nces appea r to be equa lOFF 95% 0 Site or AOC Mean Less Than or Equal to Background Mean (Form 1) Site or AOC Mean Greater Than the Background Mean

ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub

Conclusion with Alpha = 0.05 * Two variances are not equalC:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EFData\_EF_Analysis\Selenium\EF Data.wst t-Test Site vs Background Comparison for Full Data Sets without NDs

Numerator DF D enominator D F F-Test Value P-Value 83 25 4.728 0 Variance of Site 4.537E-10 Variance of Background 2.1452E-09 Conclusion with Alpha = 0.050 * Student t (Pooled) Test: Do Not Reject H0, Conclude Site <= Background * Welch-Satterthwaite Test: Do Not Reject H0, Conclude Site <= Background

Test of Equality of Variances Welch-Satterthwaite (Unequa 92.2 0.938 1.662 0.175 Pooled SD 0.000 Method DF Value t (0.050) P-Value Pooled (Equal Variance) 108 0.654 1.659 0.257 Site vs Background Two-Sample t-Test
H0: Mu of Site - Mu of Background <= 0 t-Test Critical SD 0.000021301 0.000046316 SE of Mean 4.1775E-06 5.0535E-06 Mean 0.000017738 0.00001159 Median 0.0000143 1.0285E-06 Minimum 9.33E-08 1.37E-08 Maximum 0.0000835 0.000418 Number of Valid Observations 26 84 Number of Distinct Observations 21 77 Area of Concern Data: ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub Background Data: FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub

Raw Statistics ESP/Wet Scrub, ESP/Dry Scrub, ESP/NH3/Wet Scrub, ESP/NH3/Dry Scrub FF/Wet Scrub, FF/Dry Scrub, FF/NH3/Wet Scrub, FF/NH3/Dry Scrub Selected Null Hypothesis

Alternative Hypothesis Full Precision Confidence Coefficient Substantial Difference (S) User Selected Options From FileFrom File C:\Docume nts and Set tings\All Use rs\Desktop\ EPA_Data Systems\Ut ility_Boiler_E F-Data\_E Full Precision OFF Test for S uspected Ou tliers with D ixon test 1 Test for Sus pected Out liers with Ro sner test 5

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -11.83 2.058 -16.75 1 2.393 3.397 3.767 2 -11.78 2.02 -16.53 2 2.352 3.396 3.767 3 -11.73 1.975 -16.32 3 2.321 3.396 3.767 4 -11.69 1.931 -16.2 4 2.336 3.387 3.757 5 -11.65 1.888 -16.2 5 2.413 3.387 3.757
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l Outlier

Potential Obs. Test Critical Critical # Mean sd outlier Number value value (5%) value (1%) 1 -13.14 2.221 -7.779 112 2.414 3.414 3.784 2 -13.19 2.181 -18.11 1 2.255 3.411 3.784 3 -13.14 2.139 -18.05 2 2.293 3.411 3.784 4 -13.1 2.096 -17.99 3 2.335 3.404 3.774 5 -13.05 2.052 -17.95 4 2.385 3.404 3.774
For 5% Sign ificance Le vel, there is no Potentia l Outlier
For 1% Sign ificance Le vel, there is no Potentia l OutlierFrom File C:\Docume nts and Setting s\All Users\ Desktop\EP A_Data Sys tems\Utility _Boiler_EF- Data\_EF_A nalysis\Sel Full Precision OFF C onfidence C oefficient 95% Subs tantial Diffe rence (S) 0.000 Sele cted Null Hy pothesis Site or AOC Mean Less Th an or Equa l to Backgro und Mean (F orm 1) A lternative Hy pothesis Site or AOC Mean Greater Than the B ackground M ean

Unscrubbed Scrubbed Number o f Valid Obs ervations 106 112 Number of D istinct Obs ervations 86 96

Minimum 5.3100E-8 1.3700E-8 M aximum 3.3200E-4 4.1800E-4 Mean 3.6880E-5 1.2957E-5 Median 6.3100E-6 1.5950E-6 SD 6.5234E-5 4.1408E-5 SE

of Mean 6.3361E-6 3.9127E-6

t-Test Critical Method DF Value t (0.050) P-Value Pooled (Equ al Variance ) 216 3.250 1.652 0.001 Welch-Satte rthwaite (U nequal Varia 176.1 3.212 1.654 0.001 Pooled SD 0.000 Conclusion with Alpha = 0.050 * Student t (Pooled) Te st: Reject H 0, Conclude Site > Backgr ound * Welch-Sa tterthwaite Test: Rejec t H0, Conclu de Site > Back ground

Varian ce of Site 4.2555E-9 Var iance of Ba ckground 1.7147E-9

Numera tor DF Denomin ator DF F-Test V alue P-Value 10

5 11 1 2.48 2 0.000 Conclusion with Alpha = 0.05 * Two varia nces are no t equalFinal Recommended Coal Fired Utility Boiler Selenium Emissions Factors (#/mmBtu)Kurtosis CV2.627 7.463 N/A99%ile1.60E-0495%ile3.13E-04From File: C:\Documents and Settings\All Users\Desktop\EPA_Data Systems\Utility_Boiler_EF-Data\_EF_Analysis\Selenium\EF Data.wstSummary Statistics for Raw Full Data SetsVariableNumObsMinimumMaximumMeanMedianVarianceSDMAD/0.675SkewnessEF #/mmBtu (unscrubbed)1065.31E-083.32E-043.69E-056.31E-064.26E-096.52E-058.40E-06EF #/mmBtu (scrub1bed)121.37E-088.35E-059.24E-061.48E-062.24E-101.50E-052.09E-062.88 10.41 N/APercentiles for Raw Full Data SetsVariableNumObs5%ile10%ile20%ile25%ile(Q1)50%ile(Q2)75%ile(Q3)80%ile90%ileEF #/mmBtu (unscrubbed)1062.16E-075.92E-071.49E-062.24E-066.31E-063.95E-056.59E-051.18E-04EF #/mmBtu (scrub1bed)124.90E-081.35E-072.48E-074.28E-071.48E-061.43E-051.66E-052.37E-05 3.28E-05 8.03E-05Publication No. EPA - 454/R - 11 - 012

November, 2011 Office of Air Quality Planning and Standards Air Quality Assessment Division Research Triangle Park, NC

United States Environmental Protection Agency