### ATTACHMENT 1

AVENAL PSD PERMIT APPLICATION (FEBRUARY 2008) APPENDIX 6.2-6 CUMULATIVE IMPACTS ANALYSIS

### APPENDIX 6.2-6 CUMULATIVE IMPACTS ANALYSIS

### APPENDIX 6.2-6 CUMULATIVE IMPACTS ANALYSIS Potential cumulative air quality impacts that might be expected to occur as a result of the proposed Project and other reasonably fore seeable projects are both regional and localized in nature. These cumulative impacts were evaluated as follows. Cumulative impacts from the Project could result from emissions of CO, NOx, SOx, VOC and directly emitted PM 10

### and PM 2.5 

### . To assure that the po ssible existence of other projects that might have significant cumulative impacts in conjunction with the Project were identified, a search area with a radius of 6 miles 1 

### was used for the cumulative impacts analysis. Within this search area, three categories of possible projects with combustion sources were used as criteria for identification: • Projects that are existing and have been in operation since at least early 2006. • Projects for which air pollution permits to construct have been issued and that began operation after 2006. • Projects for which air pollution permits to c onstruct have not been issued, but that are reasonably foreseeable. Projects that are existing and have been in operation since at least early 2006 are reflected in the 2004-2006 ambient air quality data that have been us ed to represent background concentrations; consequently, no further analysis of the emissions from this category of facilities was needed. The air quality impact analysis in Section 6.2 added the modeled impacts of the proposed project to the maximum background air quality levels measured during 2004-2006, thus assuring that these existing projects were taken into account. Identification of projects for which air pollution permits to construct would have been issued but that would not have been operational by the end of 2006 were requested from the SJVAPCD in the July 19, 2007 letter2

### included in this appendix. Projects for which the emissions change was smaller than 5 tons per year were assumed to be de minimis , and were not included in the request. In response to the July 19, 2007 request, the District provided on January 24, 2008 the li st of projects in Table 6.2-6.1. The annual emissions of these projects are negligible as shown in Table 6.2-6.2, and the VOC emissions are not subject to air dispersion impact analysis. Therefore, no further cumulative air quality impact analysis is required.

1 

### This distance limit was presented in the Air Dispersion Modeling and Health Risk Assessment Protocol transmitted to the SJVAPCD on August 14, 2007, and approved in an email from the District on January 22, 2008. The 6-mile distance originates from the CEC Data Adequacy Worksheet for air quality analysis compliance with siting regulations Appendix B (g) (8) (I) (iii). 2

### The July 19, 2007 was an update of the previous August 9, 2006 letter requesting the same information from the District.

### July 19, 2007
Arnaud Marjollet Manager, Permit Services San Joaquin Valley Air Pollution Control District 1990 E. Gettysburg Avenue Fresno, CA 93726-0244 Re: Information Request for a Cumulative Air Quality Impact Analysis Avenal Energy Project
Dear Mr. Marjollet: Thank you for calling back this morning. Based on our discussion, this letter updates the previous request sent to Dave Warner on August 9, 2006. Sierra Research is conducting the air quality and public health impact analysis for the Avenal Energy Project. Federal Power Avenal, LLC plans to file an updated Application for Certification withthe California Energy Commission (CEC) for a combined-cycle gas turbine power plant near Avenal, California. The UTM coordinates of the site are 3997.742 km northing, 764.616 km easting (Zone 10). As part of the project review, the CEC requires usto update the analysis of the project’s potential cumulative impacts. This is defined by the CEC as “a cumulative air quality modeling impacts analysis of the project’s typical operating mode in combination with other stationary source emissions sources within a six-mile radius which have received construction permits but are not yet operating, or are in the permitting process .” [emphasis added] For each criteria pollutant the CEC staff considers facilities having an emission increase of less than five tons per year to be de minimis , so such facilities may be excluded. We would like to get from the District a list of proj ects that meet these criteria, along with sufficient emissions information and stack parameters so that we can include these sources in our air dispersion modeling. Thank you very much for your assistance. If you have any questions regarding the information we are requesting, feel free to call.
Sincerely,

Eric Walther

cc: Steve Gilliland, Federal Power Avenal, LLC Joe Stenger, TRC 

# sierra research

1801 J Street Sacramento, CA 95811 Tel: (916) 444-6666 Fax: (916) 444-8373 Ann Arbor, MI Tel: (734) 761-6666 Fax: (734) 761-6755Table 6.2-6.2New Emission Sources Located within 6 Miles of the Avenal Energy ProjectNOx SOx PM10 COVOCC-276 C-1060040 J.P. Oil Company, Inc. August 30, 20060 0 0 0 147C-313 C-1062458 J.P. Oil Company, Inc. December 11, 20060 0 0 0 986C-713 C-1060578 Keenan Farms Inc. August 9, 200600000C-904 C-1062529 Pacific Gas & Electric Co March 21, 2007 58 2 11 70 21Emission Increases (lb/year)FacilityID Project # FacilityNameImplemetation Date1/30/2008SJVAPCD

### ATTACHMENT 2

SAN JOAQUIN VALLEY AIR PO LLUTION CONTROL DISTRICT GUIDANCE FOR AIR DISPERSION MODELING (DRAFT, AUG 2006) PP. 37-47 AND 96

# Guidance for Air Dispersion Modeling

San Joaquin Valley Air Pollution Control District

Draft

Prepared by Leland Villalvazo, Ester Davila, and Glenn Reed

Special Thanks to Dr. Jesse Thé Of Lakes Environmental Software

### 37 of 101 08/06 Rev 1.2 

### AERMAP is the digital terrain pre-processor for the AERMOD mode l. It analyzes and prepares digital terrain data for use within an air dispersion modeling project. AERMAP requires t hat the digital terrain data files be in native (non SDTS) US GS 1-degree or 7.5 -minute DEM format.

5.4 Land Use Characterization Land use plays an important role in air dispersion m odeling from meteorologica l data processing to defining modeling characteristi cs such as urban or rural conditions. Land use data can be obtained from digital and paper land-use maps. These maps will provide an indication into the domin ant land use types within an area of study, such as industrial, agricultural, forested and others. This information can then be used to determine dominant dispersion conditions and estimate valuesfor parameters such as surface roughness, albedo, and Bowen ratio.

• 

### Surface Roughness Length [m]: The surface roughness length, also referred to surface roughness height, is a measure of the height of obstacles to the wind flow. Surface roughness affects the height abovelocal ground level that a particle moves from the ambient airflow above the ground in to a “captured” deposition regi on near the ground. This height is not equal to the physical dimensions of the obstacles, but is generally proportional to them. Table 5.1 lists typical values for a range of land-use types as a function of season.

Figure 5.3 - For many modeling applications, surface roughness can be considered to be on the order of one tenth of the height of the roughness elements. 

### The following method was proposed in the U.S. EPA OSW Human Health Risk Assessment Protocol 41 

### to determine the surface roughness length for use with the ISC-PRIME/ISCST3 model at the application site: 1. Draw a radius of 3 Km from the center ofthe stack(s) on the site map. 2. Classify the areas within the radius according to the land use type categories listed in Table 5.1 (e.g., water surface, deciduous forest, etc.).

41 

### U.S. EPA - Office of Solid Waste and Emergency Response , July 1998. Human Health Risk Assessment Protocol for Hazardous Waste Combustion Fac ilities. EPA530-D-98-001A. U. S. Environmental Protection Agency, Research Triangle Park, NC.

### 38 of 101 08/06 Rev 1.2 

### 3. Calculate the wind rose directions from the 5 years of meteorological data to be used for the risk analysis. 4. Divide the area into 16 sect ors of 22.5 degrees, corresponding to the wind rose directions. 5. Identify a representative surface roughness length for eac h sector, based on an areaweighted average of the land use within the sector. 6. Calculate the site surface roughness by computing an average surface roughness length weighted with the frequency of wind direction occurrence for each sector. AERMOD allows wind direction dependent surface characteristics to be used in the processing of the meteorological data. The AERME T procedure also uses the area- weighted average of the land use with 3 km of the site. The select ion of wind direction dependent sectors is described in sections 5.4.1 to 5.4.3. Alternative methods of determining surface roughness height may be proposed. The District should review any proposed values prior to use.
Table 5.1 - Surface Roughness Heights for Land Use Types and Seasons (meters) 42 SEASONS LAND USE TYPE Spring Summer Autumn Winter Water surface 0.0001 0.0001 0.0001 0.0001 Deciduous forest 1.00 1.30 0.80 0.50 Coniferous forest1.30 1.30 1.30 1.30 Swamp 0.20 0.20 0.20 0.05 Cultivated land 0.03 0.20 0.05 0.01 Grassland 0.05 0.10 0.01 0.001 Urban 1.00 1.00 1.00 1.00 Desert shrubland 0.30 0.30 0.30 0.15



### • 

### Noon-Time Albedo: Noon-time albedo is the fraction of the incoming solar radiation that is reflected from the ground when the sun is dire ctly overhead. Table 5.2 lists typical albedo values as a function of several land use types and season. For practical purposes, the selection of a single value for noon-time albedo to process a complete year of meteorological data is desirable. If other conditions are used, the District should review the proposed noon-time albedo values used to pre-process the meteorological data.

42

### Sheih, C.M., M.L. Wesley, and B.B. Hicks, 1979: Estimated Dry Deposition Velociti es of Sulfur Over the Eastern U.S. and Surrounding Regions. Atmos. Environ., 13, 361-368.

### 39 of 101 08/06 Rev 1.2 Table 5.2 - Albedo of Natural Ground Covers for Land Use Types and Seasons 43 SEASONS LAND USE TYPE Spring Summer Autumn Winter Water surface 0.12 0.10 0.14 0.20 Deciduous forest 0.12 0.12 0.12 0.50 Coniferous forest0.12 0.12 0.12 0.35 Swamp 0.12 0.14 0.16 0.30 Cultivated land 0.14 0.20 0.18 0.60 Grassland 0.18 0.18 0.20 0.60 Urban 0.14 0.16 0.18 0.35 Desert shrubland 0.30 0.28 0.28 0.45



### • 

### Bowen Ratio: The Bowen ratio isa measure of the amount of moisture at the surface. The presence of moisture at the earth’s surface alte rs the energy balance, which in turn alters the sensible heat flux and Monin-Obukhov length. Table 5.3 lists Bowen ratio values as a function of land-use types, seasons and moisture conditions. Bowen ratio values vary depending on the surface wetness. Average moisture conditions would be the usual choice for selecting the Bowen ratio. If other conditions are used the District should review the proposed Bowen ratio values used to pre-process the meteorological data.

Table 5.3 - Daytime Bowen Ratios by Land Use, Season, and Precipitation Conditions 44 SEASONS LAND USE TYPE Spring Summer Autumn Winter Dry Conditions Water (fresh and salt) 0.1 0.1 0.1 2.0 Deciduous forest 1.5 0.6 2.0 2.0 Coniferous forest1.5 0.6 1.5 2.0

43

### ) Iqbal, M., 1983. An Introduction to Sola r Radiation. Academic Press, New York, NY. 44

### Paine, R.J., 1987. User’s Guide to the CTDM Meteorlogi cal Preprocessor (METPRO) Program. U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.

### 40 of 101 08/06 Rev 1.2 Swamp 0.2 0.2 0.2 2.0 Cultivated land 1.0 1.5 2.0 2.0 Grassland 1.0 2.0 2.0 2.0 Urban 2.0 4.0 4.0 2.0 Desert shrubland 5.0 6.0 10.0 2.0

SEASONS LAND USE TYPE Spring Summer Autumn Winter Average Conditions Water (fresh and salt) 0.1 0.1 0.1 1.5 Deciduous forest 0.7 0.3 1.0 1.5 Coniferous forest0.7 0.3 0.8 1.5 Swamp 0.1 0.1 0.1 1.5 Cultivated land 0.3 0.5 0.7 1.5 Grassland 0.4 0.8 1.0 1.5 Urban 1.0 2.0 2.0 1.5 Desert shrubland 3.0 4.0 6.0 6.0

SEASONS LAND USE TYPE Spring Summer Autumn Winter Wet Conditions Water (fresh and salt) 0.1 0.1 0.1 0.3 Deciduous forest 0.3 0.2 0.4 0.5 Coniferous forest0.3 0.2 0.3 0.3 Swamp 0.1 0.1 0.1 0.5 Cultivated land 0.2 0.3 0.4 0.5 Grassland 0.3 0.4 0.5 0.5 Urban 0.5 1.0 1.0 0.5 Desert shrubland 1.0 5.0 2.0 2.0



### 5.4.1 Wind Directi on Dependent Land Use AERMET also provides the ability to specify land characteristics for up to 12 different contiguous, non-overlapping wind direction sect ors that define unique upwind su rface characteristics. The following properties of wi nd sectors must be true:

• 

### The sectors are defined clockwise as the dire ction from which the wind is blowing, with north at 360°.

• 

### The sectors must cover the full circle so that the end value of one sector matches the beginning of the next sector.

• 

### The beginning direction is consid ered part of the sector, while the ending direction is not.

### 41 of 101 08/06 Rev 1.2 

### Each wind sector can have a unique albedo, Bowen ratio, and surface roughness. Furthermore, these surface characteristics can be specified annually, seasonally, or monthly tobetter reflect site conditions.
5.4.2 Mixed Land Use Types Study areas may contain several di fferent regions with varying land use. This can be handled by AERMET through the use of wind sector specific c haracterization, as described in the previous section. For models such as ISCST3/ISC-PRIME that do not take advantage of sector-specific characterization, the most repres entative conditions should be applied when land use characteristics are required. The approach taken by the District is to take a we ighted average over a radius of 3 km from the facility in all directions. This is performed by assessing the land use across the facility study area and applying the appropriate values to the land characteristic parameters. A weight ed average is then computed based on the area of each land use category. 5.4.3 Seasonal Land Use Characterization Land use characteristics can be susceptible to seasonal variation. For example, winter conditions can bring increased albedo valuesdue to snow accumulation. AERMET allows for season-specific values for surface roughness, albedo, and Bowen ratio to be defined. Other models, such as ISCST3/ISC-PR IME, do not support multiple season surface characteristics to be defined. In such a case, t he most representative conditions should be applied when land use characteri stics are required. 5.4.4 Standard and Non-Default Surface Characteristics The generation of local meteorological data files can in corporate site-specific surface characteristics. It should be noted that any local meteorological f iles generated for air dis persion modeling should provide a clear reasoning for the va lues used to describe surface characteristics. The District should review any proposed surface characteristics prior to submission of a modeling report. 5.4.5 Defining Urban and Rural Conditions The classification of a site as urban or rural can be based on the Auer method specified in the EPA document Guideline on Air Quality Models (40 CFR Part 51, Appendix W) 45

### . From the Auer’s method, areas typically defined as Rural include:

• 

### Residences with grass lawns and trees

• 

### Large estates

45

### U.S. Environmental Protection Agency, 2001. Appendix W to Part 51 Guideline on Air Quality Models, 40 CFR Part 51. U. S. Environmental Protection Agency, Research Triangle Park, NC.

### 42 of 101 08/06 Rev 1.2 • 

### Metropolitan parks and golf courses

• 

### Agricultural areas

• 

### Undeveloped land

• 

### Water surfaces Auer defines an area as Urban if it has less than 35% vegetation coverage or the area falls into one of the following use types:

Urban Land use Type Use and Structures Vegetation I1 Heavy industrial Less than 5% I2 Light/moderate industrial Less than 5% C1 Commercial Less than 15% R2 Dense single / multi-family Less than 30% R3 Multi-family, two-story Less than 35% 

### Follow the Auer’s method, explained below, for the selection of either urban or rural dispersion coefficients: Step 1: Draw a circle with a radius of 3 km from the center of the stack or centroid of the polygon formed by the facility stacks. Step 2: If land use types I1, I2, C1, R2, and R3 acco unt for 50 % or more of the area within the circle, then the area is classified as Urban, otherwise the area is classified as Rural. To verify if the area within the 3 km radius is predominantly rural or urban, overlay a grid on top of the circle and identify each square as primarily urban or rural. If morethan 50 % of the total number of squares is urban t han the area is classified as urban; otherwise the area is rural.(35)

An alternative approach to Urban/Rural classification is the Population Dens ity Procedure: Compute the average population density, p, per square kilometer with Ao as defined above, (a) If p > 750 people/km 2 

### , select the Urban option, (b) If p <= 750 people/km2, se lect the Rural option. Of the two methods above, the land use procedure is considered a mo re definitive criterion. The population density procedure should be used with caution and should not be applied to highly industrialized areas where the populat ion density may be low and thus a rural classification would be

### 43 of 101 08/06 Rev 1.2 

### indicated, but the area is sufficient ly built-up so that the urban land us e criteria would be satisfied. In this case, the classification should already be Urban and urban dispersion parameters should be used. 

# 6. METEOROLOGICAL DATA 6.1 Comparison of Screening and Refined Model Requirements Meteorological data is essential for air dispersion model modeling as itdescribes the primary environment through which the pollut ants being studied migrat e. Similar to other data requirements, screening model requirem ents are less demanding than refined models. SCREEN3 provides 3 methods of defining meteorological conditions:

• 

### Full Meteorology: SCREEN will examine all six stability classes (five for urban sources) and their associated wind speeds. SCREEN examines a range of stability classes and wind speeds to identify the "worst case" meteorological conditions, i.e., the combination of wind speed and stability that results in the maximum ground level concentrations.
• 

### Single Stability Class: The model er can select the stability class to be used (A through F). SCREEN will then examine a range of wind speeds for that stability class only.
• 

### Single Stability Class and Wind Speed: The modelercan select the stability class and input the 10-meter wind speed to be used. SCREEN will examine only that particular stability class and wind speed.

6.2 Preparing Meteorological Data for Refined Modeling AERMOD and ISC models require actual hourly met eorological conditions as inputs. The refined models require pre-processed meteorological data that contains information on surface characteristics and upper air definition. This data is typically provided in a raw or partially processed format that requires processing th rough a meteorological pre-processo r. The ISC models make use of a pre-processor called PCRAMMET, while AERM OD uses a pre-processor known as AERMET described further in th e following sections. 6.2.1 Hourly Surface Data Hourly surface data is supported in several formats including: 1. CD-144 – NCDC Surface Data: This file iscomposed of one record per hour, with all weather elements reported in an 80-column card image. Table 6.1 lists the data contained in the CD-144 file format thatis needed to pre-process your meteorological data.
Table 6.1 – CD-144 Surface Data Record (80 Byte Record) Element Columns Surface Station Number 1-5 Year 6-7 Month 8-9 Day 10-11

### 44 of 101 08/06 Rev 1.2 Hour 12-13 Ceiling Height (Hundreds of Feet) 14-16 Wind Direction (Tens of Degrees) 39-40 Wind Speed (Knots) 41-42 Dry Bulb Temperature ( ° Fahrenheit) 47-49 Opaque Cloud Cover 79


### 2. MET-144 – SCRAM Surface Data: The SCRAM surface data format is a reduced version of the CD-144 data with fewer weather variables (28- character record). Table 6.2 lists the data contained in the SCRAM file format.
Table 6.2 - SCRAM Surface Data Record (28 Byte Record)

Element Columns Surface Station Number 1-5 Year 6-7 Month 8-9 Day 10-11 Hour 12-13 Ceiling Height (Hundreds of Feet) 14-16 Wind Direction (Tens of Degrees) 17-18 Wind Speed (Knots) 19-21 Dry Bulb Temperature (° Fahrenheit) 22-24 Total Cloud Cover (Tens of Percent) 25-26 Opaque Cloud Cover (Tens of Percent) 27-28 

### The SCRAM data does not contain the following weather variables, which are necessary for dry and wet particle deposition analysis: 1. Surface pressure: for dry and wet particle deposition; 2. Precipitation type: for we t particle deposition only; or 3. Precipitation amount: for wet particle deposition only.
3. SAMSON Surface Data: The SAMSON data cont ains all of the required meteorological variables for concentration, dry and wet particle deposition, and wet vapor deposition. If the processing of raw data is necessary, t he surface data must be in one of the above formats in order to successfully pre-process the data using PCRAMMET or AERMET. 6.2.2 Mixing Height and Upper Air Data Upper air data, also known as mixing height data, are required for pre-processing meteorological data required to run the ISC-PRIME models. It is re commended that only years with complete mixing height data be used. In some instances, mixing hei ght data may need to be obtained from more than one station to complete multiple years of data. Mixing height data are available from: 1. SCRAM BBS –download free of charge, mixing height data fo r the U.S. for years 1984 through 1991.

### 45 of 101 08/06 Rev 1.2 

### 2. WebMET.com –download free of charge, mixing height and upper air data from across North America, including Ontario.

Table 6.3 lists the formatof the mixing height data file used by PCRAMMET.
Table 6.3 - Upper Air Data File (SCRAM / NCDC TD-9689 Format) Element Columns Upper Air Station Number (WBAN) 1-5 Year 6-7 Month 8-9 Day 10-11 AM Mixing Value 14-17 PM Mixing Value (NCDC) 25-28 PM Mixing Value (SCRAM) 32-35 

### AERMOD requires the full upper air sounding, unlike ISCST3/ISC-PRIME, which only require the mixing heights. The upper air soundings must be in the NCDC TD-6201 file fo rmat or one of the FSL formats.

6.2.3 AERMET and the AERMOD Model The AERMET program is a meteorol ogical preprocessor t hat prepares hourly surface data and upper air data for use in the U.S. EPA air quality di spersion model AERMOD. AERMET was designed to allow for future enhancements to process othertypes of data and to compute boundary layer parameters with diffe rent algorithms. AERMET processes meteorological data in three stages: 1. The first stage (Stage1) extracts meteorolog ical data from archive data files and processes the data through various qua lity assessment checks. 2. The second stage (Stage2) merges all data available for 24-hour periods (surface data, upper air data, and on-site data) and stores these data toget her in a single file. 3. The third stage (Stage3) reads the merged meteorological data and estimates the necessary boundary layer parameters for use by AERMOD. Out of this process two f iles are written for AERMOD: 1. A Surface File of hourly boundary layer parameters estimates; 2. A Profile File of multiple-level observations of wind speed, wind direct ion, temperature, and standard deviation of the fluctuating wind components.

6.2.4 PCRAMMET and the ISC Models

### 46 of 101 08/06 Rev 1.2 

### The PCRAMMET program is a meteorological preprocessor, which prepares NWS data for use in the various U.S. EPA air quality dispersion models such as ISCST3/ISC-PRIME. PCRAMMET is also used to prepare meteorologica l data for use by the CAL3QHCR model, and for use by the CALPUFF puff dispersion model when used in screening mode. The operations performed by PCRAMMET include:

• 

### Calculating hourly values for atmospheric stabili ty from meteorological surface observations;

• 

### Interpolating the twice daily mi xing heights to hourly values;

• 

### Optionally, calculating t he parameters for dry and we t deposition processes;

• 

### Outputting data in the standard (PCRAMMET unformatted) or ASCII format required by regulatory air quality dispersion models. The input data requirements for PCRAMMET depend on the dispersion model and the model options for which the data is being prepared. The minimu m input data requirements for PCRAMMET are:

• 

### The twice-daily mixing heights,

• 

### The hourly surface observations of: wind speed, wind direction, dry bulb temperature, opaque cloud cover, and ceiling height

. 

### For dry deposition estimates, station pressuremeasurements are requi red. For wet deposition estimates, precipitation type and precipitation amountmeasurements for t hose periods where precipitation was obs erved are required. The surface and upper air stations should be se lected to ensure they are meteorologically representative of the general area being modeled. 6.3 Regional Meteorological Data The District has prepared regional meteorological data sets for use in Tier 2 modeling in several formats:

• 

### Regional pre-processed model ready data fo r AERMOD, with land characteristics for CROP, RURAL and URBAN conditions.

• 

### Regional Merge files enabling customized surface characteristics to be specified and processed through AERMET Stage3.

• 

### Hourly surface data and upper air data files allowing for complete processing through AERMET. The above data sets are available online and provi de a unique, easily accessible resource for air dispersion modelers in the San Joaquin Valley. The availability of standard meteorological data will reduce inconsistencies in data quality and requeststo the regulatory agen cy on obtaining data. The surface meteorological sites used were Bakersfield, Fresno, Hanford, Madera, Modesto, and Stockton. The following meteorological elements we re used in AERMET processing for the 5 year

### 47 of 101 08/06 Rev 1.2 

### period from 2000 to 2004: ceiling height, wind speed, wi nd direction, air temperature, total cloud opacity and total cloud amount. The upper air station used was Oakland, CA. Tabl e 6.4 gives the locations of the surface meteorological sites and lists t he upper air station used for each site. The locations of the upper air sites are given in Table 6.5.
Table 6.4 - Surface meteorological sites lo cation and upper air stations to use. Surface station ID Latitude Longitude Height above sea level, m State UA to use Bakersfield 23155 35 o26’ N 119o03’ W 149.0 m CA See Table 6.5 Fresno 93193 36o47’ N 119o43’ W 101.5 m CA See Table 6.5 Hanford 53119 36 o19’ N 119o38’ W 75.9 m CA See Table 6.5 Madera 93242 36o59’ N 120o07’ W 77.1 m CA See Table 6.5 Modesto 23258 37o37’ N 120o57’ W 22.3 m CA See Table 6.5 Stockton 23237 37o53’ N 121 o14’ W 7.9m CA See Table 6.5 Note: Anemometer height is 10 meters for all stations Table 6.5 - The location of upper air sites UA station ID Latitude Longitude Oakland 23230 37 o43’ N 122 o13’ W 

### 6.3.1 Pre-Processing Steps The regional data for AERMO D is provided in 2 forms:

• 

### Merged: Data has been processed through Stage2 of AERMET (AERMET stages are described in Section 6.2.3) to produce a “Merge” file. This f ile can then be processed through AERMET Stage3 with custom surface condition dat a to produce a meteorological data set specific to the site for use with AERMOD (Tier 3).

• 

### Regional: Data has been processed through Stage3 of AERMET with predefined Land Use characteristics for “Urban”, “Rural”, and Crop”environments. The data is ready for use with AERMOD (Tier 2). 6.3.1.1 Regional Meteorological Data Processing Background Regional meteorological datasets are generated in AERMET, Stage3 processing step, using different wind independent surface conditions. It is assumed t hat surface conditions are the weighted average over a radius of 3 km from the meteorological st ation split into 8 sectors. See Appendix E for a detailed description of each of t he dataset processed. The surface conditions needed are the albedo (A), the Bowen ratio (Bo) and the surface roughne ss (Zo). These parametervalues are found in Appendix E and were derived from data in Tables 4.1, 4.2b (albedo fo r average conditions) and 4.3 of the AERMET User’s Guide 46



### .

46

### U.S. Environmental Protection Agency, 1998. Revised Draft - User’s Guide for the AERMOD Meteorological Preprocessor (AERMET). Office of Air Quality Pl anning and Standards, Research Triangle Park, NC.96 of 10108/06 Rev 1.2HanfordStation Position:36-19-03N 119-37-46W(dms)AlbedoDaytime Bowen RatioSurface RoughnessSector Spring Summer Autumn Winter Sector Spring Summer Autumn Winter Sector Spring Summer Autumn Winter1 0.14 0.184 0.184 0.18 1 1.4 2.5 2.5 2.8 1 0.418 0.52 0.52 0.432 0.14 0.192 0.192 0.18 2 1.22 2 2.4 2 0.224 0.36 0.36 0.243 0.14 0.196 0.196 0.18 3 1.1 1.75 1.75 2.2 3 0.127 0.28 0.28 0.1454 0.142 0.195 0.195 0.181 4 1.1 1.775 1.775 2.2 4 0.128 0.275 0.275 0.1435 0.14 0.184 0.184 0.18 5 1.4 2.5 2.5 2.8 5 0.418 0.52 0.52 0.436 0.14 0.18 0.18 0.18 6 1.5 2.75 2.75 3 6 0.515 0.6 0.6 0.5257 0.14 0.162 0.162 0.18 7 1.95 3.875 3.875 3.9 7 0.9515 0.96 0.96 0.95258 0.144 0.166 0.166 0.182 8 1.8 3.55 3.55 3.6 8 0.808 0.83 0.83 0.80612345678Sector Numbers

### ATTACHMENT 3

SOURCE TEST REPORTS

JANUARY 25 AND 27 PALOMAR ENERGY CENTER UNITS 1 AND 2

### ATTACHMENT 4

COLD START UP EMISSIONS FROM CT-2 AT THE PALOMAR ENERGY CENTER NOVEMBER 2007

## COLD START UP EMISSIONS FROM CT-2 AT THE PALOMAR ENERGY CENTER

PREPARED FOR:

SDG&E 

### 2300 HARVERSON PLACE ESCONDIDO, CA 92029 FOR SUBMITTAL TO:

SAN DIEGO COUNTY AIR POLLUTION CONTROL DISTRICT 

### 10124 OLD GROVE ROAD SAN DIEGO, CA 92131

PREPARED BY:

DELTA AIR QUALITY SERVICES, INCORPORATED 

### 1845 NORTH CASE STREET ORANGE, CALIFORNIA 92865 BOB FINKEN NOVEMBER 2007 DOCUMENT NUMBER: R026220

# lJelta~ Air Quality Services, Incorporated

### REPORT REVIEW AND CERTIFICATION

I certify that all work performed in the preparation and production of this report was performed by me or under my supervision and that all data presented is authentic.


# o II 

# I /)0'" 

# I**r~-h51-LS** 

# ,) J..,-""\, c 

### Robert A. 

### Finken President



### I certify that 

### I have also reviewed this report, both in form and content, and that all data, calculations, and presentations are authentic, accurate, and complete.

Date:**-------"''''--------L-'=-'...c='------,4-<'-~------** 

### Arl e Bell Vice Presiden , Analytical Services

R026220 

### ii

### CONTENTS
SECTION PAGE

1.0 INTRODUCTION 1 1.1 TEST PROGRAM ORGANIZATION 2
2.0 UNIT DESCRIPTIONS 3
3.0 TEST DESCRiPTION : 4 3.1 TEST CONDITIONS 4 3.2 SAMPLE LOCATIONS 4 3.3 TEST PROCEDURES 4 3.3.1 Emissions Test Procedures 5 3.3.1.1 Continuous Gaseous Measurements 5 3.3.1.2 Volatile Organic Compounds 11 3.3.1.3 PM by CARB Method 5 11 3.3.1.4 Formaldehyde, Acetaldehyde, and Acrolein (aldehydes) by Modified CARB Method 430 , ....................•................................. 12 3.3.1.5 Benzene, Toluene, Xylenes (STX) and Acrolein by Modified CARS Method 41 OA and TO-15 13 3.3.1.6 Polycyclic Aromatic Hydrocarbons (PAH) 13 3.3.1.7 Stack Flow Rate 14 3.4 TEST SCHEDULE 14
4.0 RESULTS 15 

### APPENDICES
A QUALITY ASSURANCE A-1 A.1 Calibration Data A-2 A.2 Quality Assurance Program Summary A-3 A.3 AR8 Certification/SCAQMD Laboratory Approval Program , A-8
8 PROCESS DATA 8-1 C TEST DATA AND LASORATORY REPORTS C-1 C.1 Sample Location C-2 C.2 NOx and CO Data C-3 C.3 'PM Data C-4 C.4 VOC Data C-5 C.5 Polycyclic Aromatic Hydrocarbon Data C-6 C.6 Trace Organic Compounds C-? C.? Formaldehyde, Acetaldehyde and Acrolein C-8


## o CALCULATIONS 0-1 0.1 General Emissions Calculations 0-2 0.2 Specific Emissions Calculations 0-5
E CHAIN OF CUSTODY E-1
F INSTRUMENT STRIP CHARTS F-1

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### iii

### 1.0 INTRODUCTION
Delta was contracted by the Palomar Energy Center to conduct emissions testing during a "Cold Start Up" of the CT -2 gas turbine power generating unit stack. Delta conducted the testing to comply with the requirements given by the San Diego Air Pollution Control District (SDAPCD) in a letter from Suzanne Blackburn to Kelly Hunt dated September 14, 

### 2007. The test program included exhaust measurements of:

• Oxygen (0 2 )



### • Carbon Monoxide (CO)

• Nitrogen Oxide (NO)

• Nitrogen Dioxide (N0 2 )



### • Volatile Organic Compounds (VOC -eXcluding methane and ethane)

• Particulate Matter (PM)

• Formaldehyde, Acetaldehyde, and Acrolein (aldehydes)

• Benzene, Toluene, Xylenes (BTX) and Acrolein

• Polycyclic Aromatic Hydrocarbons (PAH) This report presents the results of the testing along with a description of the unit, test procedures, sample locations, and quality assurance information. The tests were conducted on October 

### 22, 2007. Bob Finken led the Delta test team consisting of Arlene Bell, Gary Bridge, Robert Leyva, and Ray Madrigal. Larry Owusu of SDAPCD was on site to witness the tests. Testing was originally planned such that one complete set of tests would be executed during the 1 st 

### hour of the start up, and another set of tests performed during the balance of the start up period. Only the 1 st 

### set of tests was performed due to complications arising from wildfires in the vicinity on the day of the test. The proximity of the fires to the test site dictated aborting the program in favor of safety and data quality. Ammonia sampling was planned but not conducted since the testing ceased before ammonia injection began.

R026220 

### 1

### 1.1 TEST PROGRAM ORGANIZATION
The following persons can be contacted regarding this test program.


### Delta Air Quality Services Representative Bob Finken Delta Air Quality Services, Inc. 1845 N. Case Street Orange, California 92865 Office: (714) 279-6777 Cell: (714) 448-6150 Fax: (714) 279-6781 

### San Diego County Air Pollution Control District Contact Suzanne Blackburn 10124 Old Grove Road San Diego, California 92131 Phone: (858) 586-2275 Fax: (858) 586-2759

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### 2 

### Palomar Energy· Center Representative
Charles Hardman SDG&E Environmental Specialist-Generation 2300 Harveson Place, 801473 Escondido, CA 92029 Office: (760) 432-2507 Cell: (619) 778-6029 Fax: (760) 432-2510

### 2.0 UNIT DESCRIPTIONS

The facility is owned and operated by San Diego Gas & Electric. The combined cycle facility is comprised of two General Electric Frame 7FA gas turbines, each with a nominal rating of 165 MW. Each of the combustion turbine generators (CTG's) is equipped with Dry Low NO x 

### (DLN) burner systems, a heat recovery steam generator (HRSG), auxiliary duct burners, an oxidation catalyst, and a selective catalytic reduction unit to control atmospheric emissions. The Palomar Energy Center fires pipeline quality natural gas exclusively. Exhaust gases from the 

### CTGfHRSG systems are vented to the atmosphere via dedicated exhaust stacks.
The units are equipped with Continuous Emissions Monitoring Systems (CEMS) that provides measurements of O 2 , 

### NO x 

### and CO concentrations. The systems are extractive type with a heated line extending from the probes to the sample conditioning unit. The CEMS is a packaged system provided by ESC (Environmental Systems Corporation).
The applicable emission limits are shown in Table 2-1 below.
TABLE 2-1 PALOMAR ENERGY CENTER UNITS 1 AND 2 EMISSION LIMITS
Parameter Units Normal Operations Limit NO x 

### ppmv@ 15% O 2 

### 2.0 NO x 

### Ib/hr 14.9 

# eo ppmv@ 15% O 2 

### 4.0 

# eo Ib/hr 18.1
PM lO 

### Ib/hr 14.0 

# voe ppmv@15%0 2 

### 2.0 

# voe Ib/hr 

### 7.3
NH 3 

### ppmv@15%0 2 

### 5

R026220 

### 3 

# 8ella!1. 

# -Qo.>lllJ-.---

### 3.0 TEST DESCRIPTION

3.1 TEST CONDITIONS
The tests were performed during a "Cold Start Up". The facility permit defines a cold start up as a start up of one of the units after a period of at least 72 hours of nonoperation. The permit also defines this period as being less than 6 hours in duration, and/or the turbine reaching 40% of full load. During each test, the selected process parameters shown below in Table 3-1 were recorded.
TABLE 3-1 SDG&E PALOMAR UNIT 2 RENEWAL TEST OPERATING DATA
Parameter/Run CT Gas Flow, HSCF/H CTload, MW DB Gas Flow, HSCF/H NH 3 

### Flow, 

### Ib/hr SCRTemp, Deg. F Stack Temp, Deg. F

3.2 SAMPLE LOCATIONS 

### 1 4,775 

### 0-16 

# o o 66

- 456 77

- 

### 126

All tests were conducted at the sample locations on the exhaust stack of the combustion turbines. Each unit has a dedicated exhaust stack through which products of combustion exit to the atmosphere. The exhaust stacks are 204" 

### 1.0. with a platform for sampling. There are four, six-inch pipe size sample ports accessible from this platform. The sample ports are located at 90° intervals on one plane. The sample locations meet the minimum requirements of EPA Method 1, being more than 2 diameters downstream and 

### % diameter upstream of the nearest flow disturbances.
The testing for all species was performed using single point sampling, with the probes located at or near the center of the stack. This approach is adopted since the test conditions are transient, and it would not be possible to distinguish between temporal and spatial variations if the probe positions were changing at the same time as the unit load was changing.
3.3 TEST PROCEDURES
The test procedures used are presented in Table 3-2 with details in Section 3.3.1 that follows.

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### 4

### TABLE 3-2 PALOMAR ENERGY CENTER TESTMATRJX
Parameter Method(s) Comments 

### Oxygen (Oz) SOAPCD 100 Continuous Throughout First Hour Carbon Monoxide (CO) SDAPCD 100 Continuous Throughout First Hour

Nitrogen Oxide (NO) SDAPCD 100 Continuous Throughout First Hour Nitrogen Dioxide (NO z ) SDAPCD 100 Continuous Throughout First Hour Volatile Organic Compounds EPA 25A, and Continuous Throughout First Hour (VOC) Modified EPA 18 Particulate Matter (PM) CARB5 Continuous Throughout First Hour Formaldehyde, Acetaldehyde, CARB 430 (modified) Continuous Throughout First Hour and Acrolein (aldehydes) Benzene, Toluene, Xylenes CARB 410A (modified) Continuous Throughout First Hour (BTX) and Acrolein And modified TO-15 Polycyclic Aromatic CARB429 Continuous Throughout First**Ho~r** 

### Hydrocarbons (PAH)



### 3.3.1 Emissions Test Procedures
Descriptions of the test procedures are included the following sections. 

### 3.3.1.1 Continuous Gaseous Measurements.
NO x, 

### O 2 , 

### and CO were measured according to SOAPCD reference methods using Delta's continuous emissions monitoring system (CEMS). The sampling system employs a heated line and moisture removal trap to conserve any NO z that might be present in the flue gas. The "High NO z " procedure was performed using a NO x 

### analyzer with separate outputs for total NO x 

### and NO only. The post test calibrations were not performed in light of the suspension of testing.
Delta utilizes a mobile emission measurement laboratory for the performance of O 2 , 

### CO, and NO x 

### measurements. The laboratory is housed in a vehicle outfitted to provide a clean, quiet, environmentally controlled base for the testing operations. The laboratory has lighting, electrical distribution, air conditioning and heating to support the test instruments and provide for optimal test performance. Oz, CO, and NO x 

### concentrations are measured using an extractive sampling system consisting of a heated probe, a heat traced Teflon sample line connected to a thermos-electrically cooled sample dryer. Following the dryer, the sample is drawn into a

R026220 5

### Teflon lined pump where it is pressurized and then filtered for delivery to the gas analysis portion of the system. NO x 

### concentration is determined using a chemiluminescence analyzer. The analyzer is equipped with a low temperature N0 2 - 

### NO converter for the determination of total nitrogen oxides without interference from other nitrogen containing compounds. Oxygen concentration is determined using an electro-chemical cell analyzer. The analyzer has three full scale ranges; 0-5%, 10%, and 25%. The cell contains an electrolytic fluid that reacts with oxygen to generate an electrical signal proportional to the concentration. CO is measured using a non-dispersive infrared analyzer manufactured by API or Thermo Environmental. The analyzers have full scale ranges of 0 to 0-1000 ppm. The sampling system is comprised of a stainless steel probe, heated teflon sample line, two-pass thermo-electrically cooled water removal system, teflon lined sample pump and teflon sample line connected to the analyzer gas selection manifold.
The analyzers and sampling system are subjected to a variety of calibration and quality assurance procedures induding leak checks, linearity and calibration error determinations before sampling, and system bias and drift determinations as part of each test run. Data are corrected for any observed bias or drift in accordance with the reference methods.
All calibrations are documented on the strip chart recorder. The appropriate values are marked and the type of calibration performed is written on the chart. Figure 3-1 presents a flow chart for the SDAPCD Method 100 calibration sequence. All calibrations are documented on the strip chart recorder by the appropriate values are marked and the type of calibration performed is written on the chart. Following assembly of the system, analyzer warm up time, and a successful leak check of the sample system, the calibration/test sequence presented in Figure 1 can begin.
An Analyzer Calibration is performed as necessary by adjusting the zero and span settings of the analyzer. These calibrations are not necessarily recorded on the chart recorder. Calibration Error is then determined at three levels for each range (which is expected to be used) of each analyzer. This check is performed, at a minimum, once at the beginning and once at the end of each test day. The calibration error must not exceed ±2% of the full range of the analyzer as determined by the following equation:


### C I"b 

## t" E Analyzer Response

- Cal. Gas Value * 

### 1 

## 000/

a I 

### ra Ion rror 

# = /0 

### Analyzer Range
The data from the Calibration Error test can be used to determine Analyzer Linearity. The analyzer response to the mid gas is predicted using linear regression and the analyzer response to the zero and high calibration gas and the zero and high

R026220 

### 6

### calibration gas values. The analyzer linearity must be demonstrated on a semi-annual basis using the following equation: 

### AnalyzerLinearity AnalyzerResponse-PredictedResponse *1 00% Full Scale where:
Responseto High Gas -Responseto Zero Gas PredictedResponse * Mid Gas Value + Response to ZeroGas HighGas Value


### A N0 2 

### to NO converter efficiency test is conducted at the beginning of each test day. Greater than 90% efficiency must be demonstrated for testing to proceed.
The Sample System Bias test is performed before and after each test run and must not exceed ±5% (15% for N0 2 ) 

### of the gas value and 2% of the upscale span gas. The system bias is calculated using the following equation:


### S I S 

### t B' 100 (Bias -Bias Zero) * 

### 1000/

ampe ys em las=

- /0 

### (Direct

- Direct Zero) where: Response to Analyzer Cal 

### = The analyzer response to the last time the same calibration gas was introduced directly to the analyzer (this may be the pre-test calibration error value or a more recent analyzer calibration adjustment) Analyzer response time is also determined as part of the initial system bias checks for each test series. Zero and Calibration Drift are calculated for each test run based on the analyzer response during the pre- and post-test sample system bias test. Zero and upscale drift must not exceed ±2% of the analyzer range.
Post

- Test System Bias Resonse

- Pre

- Test System Bias Response Analyzer Drift 

## = * 100% Analyzer Range 

### The pre- and post-test analyzer response during the sample system bias test are used to correct the raw test average for any sample system bias and analyzer drift. The drift/bias corrected data are the actual reported concentrations and are used for subsequent calculations**(~ass** 

### emission rates, Ib/MMBtu, corrections to 3% or 15% O 2 , 

### etc.). The drift/bias corrections are performed using the following equation:

where: Cc 

### = 

### Drift/bias corrected concentration 

### C = 

### Raw Test Average C m 

### = Average of pre- and post-test response to sample system bias span Co 

# = Average of pre- and post-test to sample system bias zero C ma 

### = Span gas value

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### 7

### For NO x 

### effluent gas concentrations, where the stack effluent contains more than 5 percent of the total NO x 

### as N0 2 , 

### calculate the CO, O 2 

### and CO 2 

### emissions as specified in section 

### 7.2.2.1. Correct the averaged NO x 

### and NO emission values, for each subtest, for NO x 

### analyzer drift and calibration error using the following:


### NO =(NO -NO 

# )* (NOma)

X avg ' X avg ad 

### (NO md 

### -NO ad )


### where: NO xavg ' 

# = NO xavg 

# = NOed 

### = NOma 

### = NO md 

### -=

where: NO avg ' 

### = NO avg 

### = The average NO x 

### value corrected for analyzer drift and calibration error, ppm. The average NO x 

### value in section 

### 7.2.1, ppm The average of the initial and final zero calibration value when introduced directly to the analyzer, ppm. The actual certified concentration of the mid- or high-range calibration gas, ppm. The average of the initial and final analyzer calibration responses for the NO mid- or high-range calibration gas when introduced directly to the analyzer, ppm. To correct the average NO value for analyzer drift and calibration error, make the following substitutions in the formula above: NO xavg ' 

### = NO avg ' 

### NO xavg 

# = NO avg



### The average NO value corrected for analyzer drift and calibration error, ppm. The average NO value in section 

### 7.2.1. Calculate the average N0 2 

### effluent gas concentrations using the following formula: N0 2avg ' 

## = NO xavg '

- 

### NO avg ' 

### where: N0 2avg ' 

### = The average N0 2 

### value corrected for drift and analyzer calibration error. Calculate the average effluent concentrations (per sub test) for NO and N0 2 

### corrected for sample system bias using the following equations:


### NO =NO ,(NOmd-NOod) gas- avg '1<-*-'-;-----,..:- 

### (NOm-NOod)
NO NO ' (N0 2 

### md-NOod) 2 

### gas= 2 

### avg 

# * (N0 2 

### m-NOod)

R026220 

### 8

### where: NO gas = 

### N0 2gas 

### = NOo= NOm 

# = N0 2md 

### =

N0 2m 

# = the stack effluent gas concentration for NO, dry basis, ppm. the stack effluent gas concentration for 

### N0 2 , 

### dry basis, ppm. the average of the initial and final system calibration responses for the NO zero calibration, ppm the average of the initial and final system calibration responses for the NO mid- or high-range calibration gas, ppm. the average of the initial and final calibration responses when the 

### N0 2 

### used for the system calibration is sampled directly to the analyzer. the average of the initial and final system calibration responses for the 

### N0 2 

### calibration gas, ppm. To calculate the total NO x 

### gas concentration in the stack effluent use the following equation: NO x 

### gas 

# = NO gas 

### + N0 2 

### gas SOAPeD Method 100 specifies allowed analyzer interferences of 2% for each analyzer type. The analyzers used by Delta are certified by the manufacturers to have interference responses which meet the requirements of Method 100. The method for determining the efficiency of the N0 2 

### to NO converter involves the use of a cylinder containing a certified concentration of 

### N0 2 • 

### This test is performed once per test day.

R026220 

### 9

### Analyzer Cal

Cal No Error 

### < 2% No Yes \ Yes

System 

## 1 Nn 

### System Bias 

### < 5% 

## J Problem?
Yes
Don't Know Stratified No l 

### Location? f 

### Yes 

# ( Multi-Point 

## 1 Single Point 

# 1 Test 

## J Test

System No Bias 

### < 5% Yes Cal No Drift 

### < 3% Yes Another ) 

### No Analyzer Cal

Test? J 

### (if necessary) 

# J
Yes No No Analyzer Cal 

# 1 Cal? Error 

### < 2% Yes No Yes Yes System 

# 1- ( Finish 

# 1 l 

### Bias 

### < 5% FIGURE 3-1: SDAPCD METHOD 100 CALIBRATION AND TEST SEQUENCE



### R026220 10

### 3.3.1.2 Volatile Organic Compounds
Volatile Organic Compounds were determined using a combination of EPA method 25A and modified and simplified EPA method 18. The EPA Method 25A sampling was continuous during the entire cold start up period, except for period of calibration or range changing, Delta expects VOC's to be in excess of 1000 ppmv for a short duration during Start up. Delta used a 3000 ppmv scale to characterize VOC emissions during these operating conditions. If VOC concentrations are lower than expected, this scale may be reduced. VOC concentration was measured over the permit limit duration.

• Method 18 was employed to determine the methane and ethane concentrations to allow the determination of non-methane/ethane volatile organic compounds. Notes specific to this program are provided below for clarification.

• Samples for methane and ethane were collected from the SOAPCO Method 100 sample system

• The pre-survey was not performed

• The samples were not heated after collection as only volatile species are of interest • A single sample was collected each hour during the startup

• The samples were analyzed for methane and ethane by gas chromatography/FlO
The methane and ethane results were subtracted from the Total Hydrocarbon results obtained from the EPA Method 25A results for the corresponding time period.

3.3.1.3 PM by CARB Method 5
The test method requires isokinetically Withdrawing exhaust gas through a sampling train that collects particulate on a nozzle, probe, filter and filter glassware, and impingers. The sampling train used for this program consists of:
1. Stainless steel nozzle and glass lined probe heated to 250° F with an S-type pitot tube for velocity measurements. 2. 83 mm 934-AH fiberglass filter heated in an oven box to 250°F. 3. An impinger train connected to the back of the filter holder by a Teflon connecting line. The impinger train consists of two impingers containing 100ml each of 01 

### water, followed by an empty impinger and an impinger containing silica gel.

R026220 

### 11

### The impingers are weighed before sampling and all components such as the probe nozzle and filter are visually inspected before sampling. After sampling the following procedures were used to recover the samples:
1. Nozzle and probes, visually inspected for nicks or breakage, then sealed. Rinse and brush nozzle and probe 3 times with acetone into an amber glass bottle. 2. The filter is returned to its pre-numbered petri dish. 3. The front half of the filter holder is also rinsed and brushed with' acetone and the rinse combined with step #1 above. 4. The Teflon connecting line is drained into the first impinger. 5. The impingers are weighed for moisture determination. 6. The impinger liquid is quantitatively recovered into Nalgene bottles
Particulate mass is determined gravimetrically using CARB Method 5 analytical procedures. Sample analysis of the acetone rinses and filter consists of evaporating the acetone at room temperature, followed by desiccating and weighing the sample. The sample analysis of the impinger catch consists of evaporating the water at 105°C followed by desiccating and weighing the sample. Acetone and 01 water blanks were collected during sampling and analyzed with the samples.
The particulate samples were analyzed in Delta's in-house laboratory. The filters and beakers were tared on the same analytical balance before the program. Delta's laboratory uses all required EPA procedures including balance calibration and temperature and humidity control.

3.3.1.4 Formaldehyde, Acetaldehyde, and Acrolein (aldehydes) by Modified CARB Method 430 Samples for formaldehyde, acetaldehyde and acrolein were collected hourly during the cold start-up. The method was modified to obtain more accurate results for acrolein by adding toluene to the ON PH solution. This allows immediate extraction of the acrolein derivative into the toluene and minimizes contact with the acidic media that can produce low results for acrolein.
In this method, the exhaust gas is drawn non-isokinetically through a heated glass probe and Teflon line into a series of acidified DNPH filled midget impingers. A low-level dry gas meter fitted with a calibrated orifice that restricts the flow rate to 0.5 I/min was used to measure the total volume of exhaust gas sampled. The line is rinsed with a portion of the' first impinger catch. Each vial is analyzed separately for formaldehyde, acetaldehyde and acrolein by HPLC.



### R026220 12

### The following QAlQC procedures were conducted per test condition:

• Screening of ON PH reagent to meet 2 day holdline;

• Field blanks in conjunction with each sample;

• One field spike;

• One trip blank;

• One trip spike

• Laboratory blanks;

• Laboratory matrix spike

3.3.1.5 Benzene, Toluene, Xylenes (BTX) and Acrolein by Modified CARB Method 410A and TO-15
Benzene, toluene, xylene and acrolein were collected hourly in Summa polished canisters and analyzed by GC/MS. The Summa canisters were used so that additional data can be obtained during the test program.

3.3.1.6 Polycyclic Aromatic Hydrocarbons (PAH)

A single sample for polycyclic aromatic hydrocarbons (PAH) was collected using CARB Method 429. A single integrated sample was collected over the entire duration of the cold start-up. In this procedure, the flue gas is withdrawn isokinetically and passed through a heated glass probe and Method 5 type Teflon coated filter to a Teflon line and an XAO-2 resin column. The resin column is connected to a series of impingers containing 100 ml each of sodium carbonate/sodium bicarbonate in the first two impingers, followed by an empty impinger and an impinger containing silica gel. The Teflon coated filter and Na 

### z CO:/Na 

### z HC0 3 

### solution prevents degradation of the PAH species by eliminating potential contact with acidic or basic sampling media. This method is approved for quantitation of the following PAH species.

R026220 Naphthalene 2-Methylnaphthalene Acenaphthylene Acenaphthene Fluorene Phenanthrene Anthracene Fluoranthene Pyrene Benzo( a)anthracene

13 Chrysene Benzo(b )f1uoranthene Benzo(k )f1uoranthene Benzo( e )pyrene Benzo( a )pyrene Perylene Indeno(1,2,3-c,d)pyrene Dibenzo( a,h )anthracene Benzo(g,h,i)perylene

### All sampling media are pre-cleaned to eliminate PAH contamination and other organic species. The filters are extracted with methylene chloride and stored in petri dishes lined with hexane rinsed aluminum foil and the XAD-2 resin is extracted until clean. Pre-test analysis for both the XAD-2 resin lot and filter extract is required. The sampling train components (including the probe, glassware and connecting lines) are pre-cleaned using high purity water, acetone, hexane and methylene chloride. Field spikes are added to each XAD-2 resin module. A field blank is collected during each sampling program. PAH Samples are recovered with high purity GC/MS 

### grade acetone, hexane, and methylene chloride into amber glass bottles cleaned to EPA specifications for organics. Samples are kept at <4°C until extraction and analysis. Samples are analyzed by HRGC/HRMS to obtain detection limits of 10-25 ng per sample per species. Sample analysis also includes analysis of a method blank, blank matrix spikes and spiking of the samples with deuterated PAH species to evaluate the extraction and analysis procedures. 3.3.1.7 Stack Flow Rate
Exhaust flow rate from the certified CEMS was applied to develop emission rates.

3.4 TEST SCHEDULE


### The test program was conducted on October 22, 2007. Testing was originally planned such that one complete set of tests would be executed during the 1 st 

### hour of the start up, and another set of tests performed during the balance of the start up period. Only the 1 st 

### set of tests was performed due to complications arising from wildfires in the vicinity on the day of the test. The proximity of the fires to the test site dictated aborting the program in favor of safety and data quality.

R026220 14

### 4.0 RESULTS This section presents detailed test results of the emissions tests performed during the first hour of a cold start up on October 22, 2007. The results are presented in the following Tables and Figures:
Table 

### 4-1 Figure 

### 4-1 Figure 

### 4-2 Table 

### 4-2 Table 4-3 Table 4-4 Table 4-5 Table 4-6 NOxand CO; NO x and NO Concentrations vs. Time; CO and Total Hydrocarbon Concentrations vs. Time; PM; VOC; PAH; Trace Organic Compounds; Formaldehyde, Acetaldehyde and Acrolein;
Additional information on the sampling and analysis is contained in the Appendices. Appendix A contains calibration data, quality assurance program summary, and Delta's CARB and SCAQMD Laboratory approval certifications; Process data is included in Appendix B. Data summaries, CEM performance data, field data sheets and laboratory data are contained in Appendix C. Appendix D presents emissions calculations. Appendix E contains chain of custody information and Appendix F contains instrument strip charts.
TABLE 4-1 SDG&E PALOMAR UNJT 2 NO" AND CO TEST RESULTS

Date 10/22/2007 

### Start Time 

### 6:26 End Time 

### 7:26 Parameter Units Run 

### 1 Oxygen (0 2 ) 

### % 17.79

Oxides of Nitrogen (NO x) 

### ppmv 

### 37.7* Oxides of Nitrogen (NO x ) 

### ppmv@ 

### 15% O 2 

### 71.5 Oxides of Nitrogen (NO x) 

### Ib/hr 

### 119.6

Carbon Monoxide (CO) ppm 

### 74.1 Carbon Monoxide (CO) ppmv@ 

### 15% O 2 

### 140.7 Carbon Monoxide (CO) Ib/hr 

### 143.3

* Note: N02 = 1.32 ppm



### R026220 15

### 350
300
250
200
150
100

50



## o 6:14:24 6:28:48 6:43:12 6:57:36 7:12:00 7:26:24 7:40:48



### AM AM AM AM AM AM AM

FIGURE 4-1 SDG&E PALOMAR UNIT 2 NO x 

### AND NO CONCENTRATIONS vs. TIME

3500
3000
2500
2000
1500
1000

500


## o 6:14:24 6:28:48 6:43:12 6:57:36 7:12:00 7:26:24 7:40:48



### AM AM AM AM AM AM AM

# ~Ox

_ ....

# ~~ -NOC



# -co -HyCx 

### COC -HXC



### R026220 FIGURE 4-2 SDG&E PALOMAR UNIT 2 CO AND TOTAL HYDROCARBON CONCENTRATIONS vs. TIME

16

### TABLE 4-2 SDG&E PALOMAR UNIT 2 COLD START PM TEST RESULTS
Test No Date Start/Stop Time Stack O 2 

### (%) Stack 

### CO 2 (%) Stack Press (iwg) Stack Temp CF) Stack Gas Velocity (fUsee) Isokinetic Ratio 

### (%)
Stack Flow Rate (dscfm) Particulate Emissions: Grain Loading, 

### gr/dscf Grain Loading @ 12% 

### CO 2 Mass Emissions, Ib/hr Emission Rate, Ib/MMBtu 1-PM 10/22/07 062610726 17.79 2.01 -0.9 103.4167

30.46 115* 443,425
0.0022 0.0131

8.34 0.0184

R026220 * Includes initial sampling before isokinetic sampling could be established. All sample volume included.



### 17

### TABLE 4·3 SDG&E PALOMAR UNIT 2 COLD START VOC TEST RESULTS

Total NonTotal Hydrocarbons, Total Hydrocarbons, methane/ethane ppm as Methane ppm as Methane from Hydrocarbons, ppm from Continuous FlO Tedlar Bag as Methane Average Stack Total Hydrocarbons, Total Hydrocarbons, Flow, dscfm Ib/hr as Methane Ib/event as Methane

81.01

R026220 

### 51.26 29.75 

### O 2 

### %

17.76



### 18 Total Nonmethane/ethane Hydrocarbons, Ib/MMBTU as Methane



### 0.072 443,425 32.81



# 81Jllafl**Nr(Mlll,os.-.~** 

### 32.87

### TABLE 4-4 SDG&E PALOMAR UNIT 2 COLD START PAH EMISSIONS RESULTS
Test No. PAH-FB 1-PAH Date 10/22/2007 10/22/2007 

### Time 0626/0731 0626/0731 

### Flow Rate, dscfm 443,425 

### Sample Volume, dscf 26.484(1) 26.484 

### O 2 

### ,% 17.79 

### CO 2 , 

### % 2.01 

### H2 

### 0, % 1.0% 

### Isokinetic Ratio, 

### % 106.5 

### Fuel Flow Rate, HSCF/Hr 4774.9 

### Species ng/train nglldscm nglldscm Ib/hr @15%0 2 Naphthalene ND< 461.0 ND< 614.6 ND< 1,166.0 ND< 1.0 x 10-3 2-Methylnaphthalene ND< 64.0 ND< 85.3 ND< 161.9 ND< 1.4 x 10-4 Acenaphthylene 13.8 18.4 34.9 3.1 x 10-5 Acenaphthene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5 Fluorene 10.6 14.1 26.8 2.3 x 10-5 Phenanthrene 61.6 82.1 155.8 1.4 x 10-4 Anthracene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5 Fluoranthene 38.5 51.3 97.4 8.5 x 10-5 Pyrene 39.3 52.4 99.4 8.7 x 10-5 Benz(a)anthracene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5 Chrysene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5 Benzo(b )f1uoranthene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5 Benzo(k)fluoranthene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5 Benzo( e )pyrene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5 Benzo( a )pyrene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5 Perylene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5 lndeno( 1,2,3-cd )pyrene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5 Dibenzo( a,h )anthracene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5 Benzo(g,h,i)perylene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2 x 10-5

ND<

- species was not detected in the sample. NOTE: (1) The field blank values presented were calculated using the sample volume from the test.

R026220 19Test No. 

### TABLE 4-5 SDG&E PALOMAR UNIT 2 COLD START TRACE ORGANIC COMPOUNDS RESULTS
1-BTEX



### R026220 Date Start Time Stop Time Test Method Stack Flow Rate, DSCFM @ Tref Fuel Flow Rate, hscflhr Benzene: ppb Iblhr Ib/MMSCF Toluene: ppb Ib/hr Ib/MMSCF Ethylbenzene: ppb lblhr Ib/MMSCF xylene: ppb Ib/hr Ib/MMSCF a-xylene ppb Ib/hr Ib/MMSCF Acrolein: ppb Ib/hr Ib/MMSCF



### 20 10/22/07 

### 6:26 7:31 TO-15 

### 443,425

4,775

1.96 0.011 0.022

6.2 0.039 0.082

0.2 0.001 0.002
0.17 0.001 0.003
<0.01 <0.001 <0.002

8.1 0.031 0.066

### TABLE 4-6 SDG&E PALOMAR UNIT 2 COLD START FORMALDEHYDE, ACETALDEHYDE AND ACROLEIN RESULTS

R026220 Formaldehyde Emissions Formaldehyde, 

### pg Formaldehyde, ppb Formaldehyde, Ib/hr Formaldehyde, Ib/MMSCF Acetaldehyde Emissions Acetaldehyde, 

### pg Acetaldehyde, ppb Acetaldehyde, Ib/hr Acetaldehyde, Ib/MMSCF Acrolein Emissions Acrolein, 

### pg Acrolein, ppb Acrolein,lb/hr Acrolein, Ib/MMSCF Field Blanks pg/sample, one impinger only Formaldehyde, ppb pg/sample, one impinger only Acetaldehyde, ppb pg/sample, one impinger only Acrolein, ppb CARS Reporting Results* Formaldehyde Ratio, sample/blank Acetaldehyde Ratio, sample/blank Acrolein Ratio, sample/blank Formaldehyde, ppb Acetaldehyde, ppb Acrolein, ppb *5 X Blank Level if Sample less Than 5 X Blank Stack flow rate from plant CEMS Use average test volume for calculating field blanks



### 21 28.71 1,024.0 2.1560 4.5153

7.96 193.5 0.5978 1.2519 

### ND< 0.015 

### ND< 0.29 

### ND< 0.0215 

### ND< 0.0450



### < 0.500 

### < 35.67 

### < 0.500 

### < 24.3 

### ND< 0.015 

### ND< 0.57
28.7 337.9 0.500 1024.0 193.5 ND< 2.9

### APPENDIX A

R026220 

### QUALITY ASSURANCE

A-1

### Appendix A.1 Calibration Data

R026220 A-2Site: Palomar Energy Center Date: October 22, 2007
APCD Personnel: Suzanne Blackburn Site Personnel: Hardman Chuck
Delta Inst. Operator: Bob Finken Stack Crew BF, GB, Pod, Ray, RL, AB

CALIBRATION GASES
Gas Point Cylinder No. Cone. Range %FS Status Gas Divider 02 High CC72767 19.07 % 22 86.7% OK 02 Mid CC92589 9.94 % 22 45.2% OK CO2 High CC72767 8.52 % 10 85.2% OK CO2 Mid CC92589 5.07 % 10 50.7% OK NO High CC186520 232.00 ppm 250 92.8% OK NO Mid CC244648 136 ppm 250 54.4% OK CO High CC139848 2466.00 ppm 2500 98.6% OK CO Mid SA8654 1508.0 ppm 2500 60.3% Out of Spec. NO High CC186520 232.00 ppm 250 92.8% OK NO Mid CC244648 136 ppm 250 54.4% OK N02 N02 CC207243 6.88 ppm 250 2.8% n/a

MULTI-POINT CALIBRATION INSTRUMENT CHECK, (limit: instr. val. within 2% of full scale of predict. val.). Cone:-

-**~-~Gas** concn. level 02% C02% NO ppm 

## co ppm Hiah 19.07 8.52 232.00 2466.00 Zero 0.00 0.00 0.00 0.00 Mid 9.94 5.07 136.00 1508.00 Instr. response NO ppm 02% C02 % NOxppm CO ppm NO ppm 232.00 19.14 8.60 232.86 2481.52 232.23

0.00 0.23 0.04 0.44 0.68 0.36 136.00 10.16 5.14 136.29 1495.30 135.57 Scale, 0- 22 10 250 2500 250 Slope 1.01 1.00 1.00 0.99 1.00 Intercept -0.2 0.0 -0.4 -0.7 -0.4 Mid (predict.) 10.08 5.13 136.69 1517.8 136.29 Ditt. (% full scale) 0.3 0.1 -0.2 -0.9 -0.3 Status OK OK OK OK OK CONVERTER EFFICIENCY, (must be >90%). 

# I I NOx Mode 

# I NO Mode 

# I N02 gas: ppm N02 dir loom) 7.19 0.57 Zero (ppm) 

# I 0.44 

# I 0.36 Conv. eff. ('Yo) 95.0

### REFERENCE STANDARD P.O NUMBER DELTA AIR QUALITY CUSTOMER 

### Praxair 5700 South Alameda Street Los Angeles, CA 90058 Telephone: (323) 585-2154 Facsimile: (714) 542-6689 

# CERTIFJCATEOFANALYSISl 

# EP=it='

# =P=R=O=,'~=,()=C=O=L=GAS 

# --II I

COMPONENT NIST SRM NO. CYLINDER NO. CONCENTRATION CARBON DIOXIDE GMIS OXYGEN GMIS vS.SRM#2745 vsSRM#2659a SA 12446 CC 76878 10.05 % 20.98 %



### ,ANALYZER READINGS
R=REFERENCE STANDARD Z=ZEROGAS C=GAS CANDIDATE

GMIS Siemens Oxymat 5E SiN A12-839 LAST CALIBRATION DATE 06/02/07 SECOND ANALYSIS DATE R C CONe. Z C CONC. C R CONC. MEAN**TE~1** ASSAY Siemens U1tramat 5E SiN A12-730 LAST CALIBRATION DATE 06/02/07 SECOND ANALYSIS DATE R C CONC. Z C CONC. C R CONe. MEAN TEST ASSAY

19.06 Z 19.06 R 19.08 Z 19.01 UIM % ANALYZER MAKE-MODEL-S/N GMIS NDIR 06/14/07 C 8 . 51 CONC. 8 . 51 Z C 8 . 52 CONC. 8 . 52 R R 10.05 CONC. 8.52 Z

MEAN TEST ASSAY 8.52 VIM % ANALYZER MAKE-l\tODEI..-S/N Paramagnetic 06/14/07

C 19.06 CONC. C 19.06 CONC. R 20.98 CONC.

MEAN TEST ASSAY VIM Z 0.00 R 10.05 R IO.OS Z 0.00 Z 0.00 C 8.52 VIM % 2. COMPONENT OXYGEN ANALYTICAL PRINCIPLE FIRST**ANALYSI~** DATE

Z 0.00 R 20.98 R 20.98 Z 0.00 Z 0.00 C 19.08 1. COMPONENT CARBON DIOXIDE ANALYTICAL PRINCIPLE FiRST ANALYSIS DATE I

## I 

# !

11 

# II 

# Ii
I' i

8.52 % CERTIFIED CONCENTRATION



# 0'" /'1.D7

om 

# iO'<d<C<oCf) 

# t

. Values not valid below 150 psig 02 concentration is corrected for 

# IF

- I 

# I THIS CYLINDER NO. CC 72767 HAS BEEN CERTIFIED ACCORDING TO SECTION EPA-600/R97/121 CARBON DIOXIDE OF TRACEABILITY PROTOCOL NO. Rev. 9/97 OXYGEN 19,01 % PROCEDURE G1 NITROGEN BALANCE CERTIFIED ACCURACY ± 1 % NIST TRACEABLE ,. , 

# 7" -. 

# 6 

# ? !I CYLINDER PRESSURE 2000 PSIG

... , II, CERTIFICATION DATE 06/14/07 

## I EXPIRATION DATE 06/14/10 TERM 36 MONTHS 

# Ii 

# II / II

# ~_ :;_

# ~~~A~N~'A~L~Y.~Z~E~D~B~Y~~~~iiiiiPAB~LO~RiiiiiE~iiiiiEiiiiS iiiiiiiiiiiiiiiiiiiiiiiiiO

__===C;;;ER=Tlo;;;;ho;;;;'Eo;;;;D=Bo;;;;Y====ER

...

I

... ...



## /l

... O

....

UN_G_"

# ~II

IMPORTANT , 'h' h I' 't fth Information contained herein has been prepared at your request by qualified experts within Praxair Distribution, Inc, While we believe that the information IS accurate Wit In t e Iml so e analytical methods employed and is complete to the extent of the specilic analyses performed, we make no warranty or representalion as to the >sUitability of the use of the information for any particular purpose, The information is offered with the understanding that any use of the information IS at the sale d,screlion and nsk of the user. In no event shall liability of Praxalr Distribution, Inc, arising out of the use of the information contained herein exceed the fee estabhshed for provldlnq such Information, 

## 5?' I 

# cr'

_ C;Praxair 5700 South Alameda Street Los Angeles, CA 90058 Telephone: (323) 585-2154 Facsimile: (323) 585-0582

CUSTOMER DELTA P.O NUMBER

COMPONENT NIST SRM NO. CYLINDER NO. CONCENTRATION 

# II CARBON DIOXIDE OXYGEN GMIS GMIS vs.SRM1I1674 vs.SRM1I2658 CC 101954 CC 109110 5.04 % 10.04 %

R=REFERENCE STANDARD Z=ZEROGAS C=GAS CANDIDATE 

### ,I 

# II 1. COMPONENT CARBON DIOXIDE GMIS ANALYZER MAKE-MODEL-SIN

I ANALYTICAL PRINCIPLE NDIR I FIRST ANALYSIS DATE 09/11/07 Z 0.00 R 5.04 C 5.07 CONC. 5.07 Z R 5.04 Z 0.00 C 5.07 CONC. 5.07 R Z 0.00 C 5.07 R 5.04 CONC. 5.07 Z VIM % MEAN TEST ASSAY 5.07 VIM % 2. COMPONENT OXYGEN GMIS ANALYZER MAKE-MODEL-SIN ANALYTICAL PRINCIPLE pi3;ramagnetic FIRST ANALYSIS DATE

... ,",O,?;/llj07

Z 0.00 R 10.04 C 9.94 CONC. 9.94 Z R 10.04 Z 0.00 C 9.94 CONC. 9.94 R Z 0.00 C 9.94 R 10.04 CONC. 9.94 Z VIM % MEAN TEST ASSAY 9.94

. VIM % siemens Ultramat 5£ SiN A12-730 LAST CALIBRATION DATE 09/04/07 SECOND ANALYSIS DATE R C CONC. Z C CONC. C R CONC. MEAN TEST ASSAY siemens oxymat 5E SiN A12-839

LAST CALIBRATION DATE 09/04/07 SECOND ANALYSIS DATE R C CONC. Z C CONC. C R CONC. MEAN TEST ASSAY

Values not valid below 150 psig 02 concentration is corrected for C02

5.07 %" 9.94 % CARBON DIOXIDE OXYGEN CERTIFIED CONCENTRATION

CERTIFIED BY EPA-600/R97/1n

% NIST TRACEABLE PSIG 2000

ANALYZED BY THIS CYLINDER NO. CC 92589 HAS BEEN CERTIFIED ACCORDING TO SECTION OF TRACEABILITY PROTOCOL NO. Rev. 9/97 PROCEDURE G1 CERTIFIED ACCURACY ± 1 CYLINDER PRESSURE CERTIFICATION DATE 09/11/07 EXPIRATION DATE 09/11/10 TERM 36 MONTHS

IMPORTANT Information contained herein has been prepared at your requesl by qualified experts within Praxair Distribution, Inc. While we believe that the information is accurate within the limits of the analytical methods employed and is complete to the extent of the specific analyses performed, we make no warranty Or representation as to the sUitability of the use of the information for any particular purpose. The information is offered with the understanding that any use of the information is at the sale discretion and risk of the user. In no event shall liability of Praxair Distribution, Inc. arising out of the use of the information contained herein exceed the fee established for providing such**lnf~atlon.** 

## c:l 2/ 

## _{)C7 

# cyJ/

# CER.TI.Fll£A·.'JZ1i1.··••••

# biJr••·.AlVAt,L.Y/SlS •• ··.·.·Z •..•.•.•

# EPti-.·.• ·.··.1!Rd.toC()(L····GAS

.' '_',: ""0"- :.,::,'._.,:"-.,_,:".-",.',,,,; ••
- .. ,.--.- """-.,,' '.", ,.,:,'.", ",":,',.:",,', .-." , .',' , ,',-'--.-."',', .,',', •• " _ -.' ',-' , " ".-'. 

# ., I Praxair 5700 South Alameda Street Los Angeles, CA 90058 Telephone: (323) 585-2154 Facsimile: (323) 585-0582

P.O NUMBER DELTA AIR QUALITY CUSTOMER 

### i 

## I, I 

## KEFERENCE· •• STANDAlUJ
COMPONENT NISTSRMNO. CYLINDER NO. CONCENTRATION
NITRIC OXIDE GMIS vs.SRM#1685 CC 118189 251.6 ppm

R=REFERENCE STANDARD Z=ZEIWGAS C=GAS CANDIDATE



### Z 0 R 915 Z 0 U1M mV 1. COMPONENT NITRIC OXIDE GMIS ANALYZER MAKE-MODEL-S/N

_ ANALYTICAL PRINCIPLIi; C!fl?:.ULUMINESCENCE FIRST ANALYSIS DATE 07i06/07

Z 0 R 902 C 830 CONC. 232 R 903 Z 0 C 830 CONC. 231 Z 0 C 830 R 902 CONC. 232 VIM mV MEAN TEST ASSAY 232 BECKMAN 951A s/Nn0101354 LAST CALIBRATION DATE 07/11/07 SECOND ANALYSIS DATE 07/13/07 R 917 C 841 CONC. 231 Z 0 C 841 CONC. 231 C 842 R 917 CONC. 231 MEAN TEST ASSAY 231

VALUES NOT VALID BELOW 150 PSIG. MOx VALUE FOR REFERENCE USE ONLY.

CERTIFIED CON CENTRATlON 

## I 11 1\ I 

### ! I EPA-600/R97/121 NITRIC OXIDE NITROGEN 232 ppm BALANCE



# I I ANAL YZED BY ll'

# ill CERTIFiED BY 

### If. III /)

# VI~TOR DOTAN HAttfGHASHAM 

# II**~~~~~======~~~~~~** 

# ......................................................
__........._- -dl,

IMPORTANT Information contained herein has been prepared at your request by qualified experts within Praxair Distribution, Inc. While we believe that the information is accurate within the limits of the analytical methods employed and is complete to the extent of the specific analyses performed, we make no warranty or representation as to the suitability of the use of the Information for any particular purpose. The information is offered with the understanding that any use of the information is at the sole discretion and risk of the user. In no event shall liability of Praxair Distribution,**I.n.~.** arising out oj the use of the Information contained herein exceed the fee established for providing such information. 

## '7

# -Z)-O~r

# -~I I I 

### I I I

# I

, II 

# Ii
II

, 

## i i 

## ! ·i 

### I[ I I 249.6 ppm CONCENTRATION 

### Praxair 5700 South Alameda Street Los Angeles, CA 90058 Telephone: (323) 585-2154 Facsimile: (714) 542-6689

C=GAS CANDWATE

LAST CALIBRATION DATE 02/23/07 SECOND A."IALYSIS DATE 03/06/07 R 904 C 493 CONe. 136 Z 0 C 494 CONC. 136 C 495 R 908 CONC. 136 MEAN TEST ASSAY 136 BECKMAN 951A S/N#0101354 CC 140559 CYLINDER NO. P.O NUMBER

Z=ZEROGAS

135 Z 0 135 R 905 135 Z 0 135 VIM mV ! ANALYZER

### MAI{F"'~lODEL-S/N v5.SRM#1685 NIST SRM NO.

CHEMILUMINESCENCE 02/23/07 C 468 CONC. C 469 CONC. R 864 CONC.

MEAN TEST ASSAY GMIS 

# III

GMIS DELTA AIR QLTY,1407885

R=REFERENCE STANDARD CUSTOMER

NITRIC OXIDE COMPONENT

1. COMPONENT NITRIC OXIDE ANALYTICAL PRINCIPLE FIRST ANALYSIS DATE

Z 0 R 862 R 863 Z 0 Z 0 C 469 UIM mV 

# ir'

I I

" 

## n
" Ii,**VF~UE** NOT VALID BELOW 150 PSIG. NOX VALUE FOR REFERENCE USE ONLY. NO FIRST ANALYSIS**DO~~** 249.2 ppm Q1IS.
"{-.

136 ppm BALANCE

DOTAN NITRIC OXIDE NITROGEN CERTIFIED CONCENTRATION

CERTIFIED BY EPA-600iR97/121

GEORGE WARBA ANALYZED BY 

# liEs
CYLINDER NO. 

### cc 

### "wo 

# [ ' 'I HAS BEEN CERTIFIED ACCORDING TO SECTION
I OF TRACEABILITY PROTOCOL NO. Rev. 9/97 

# ,I PROCEDURE Gl

# l ~**iERTIFIED** ACCURACY ± 1 % NIST TRACEABLE CYLINDER PRESSURE 2000 PSIG 

# I CERTIFICATION DATE 03/06/07 

# II EXPIRATION DATE 03/06/09 TERM 24 MONTHS I 

# I

It [\ 

# II il 

## II II

IMPORTANT

Information contained herein has been prepared at your request by qualified experts within Praxair Distribution, Inc. While we believe that the information is accurate within the limits of the analytical methods employed and is complete to the extent of the specific analyses performed. we make no warranty or representation as to the suitability of the use of the information for any particular purpose. The information is offered with the understanding that any use of the information is at the sole discretion and risk of the user. In no event shall liability of Praxair Distribution. Inc. arising out of the use of the information contained herein exceed the fee established for providing such information. 

# tf-//**~07 )~** 

### Praxair 5700 South Alameda Street Los Angeles, CA 90058 Telephone: (323) 585-2154 Facsimile: (714) 542-6689



# II CUSTOMER DELTA AIR QUALITY P.O NUMBER

COMPONENT NIST SRM NO. CYLINDER NO. CONCENTRATION CARBON rJ::)NOXIDE Grv:IS vs.SRM1I2637 SA 6799 3008 ppm

R=REFERENCE STANDARD**Z=ZE~OGAS** C=GAS CANDIDATE

ANALYZER**MAKE~MODEL-S/N** 1. COMPONENT CARBON MONOXIDE GMIS ANALYTICAL PRINCIPLE NDIR FIRST ANALYSIS DATE 12/22/05

Z 0.000 R 0.300 C 0.246 CONC. R 0.300 Z 0.000 C 0.246 CONC. Z 0.000 C 0.246 R 0.300 CONC. UIM % MEAN TEST ASSAY 2466 2466 2466 2466 Z 0.000 R 0.300 Z 0.000 UlM % Siemens Ultramat 5E SiN BOl-728 LAST CALmRATION DATE 12/04/05 SECOND ANALYSIS DATE 12/29/05 R 0.300 C 0.246 CONC. 2466 Z 0.000 C 0.246 CONC. 2466 C 0.246 R 0.300 CONC. 2466 MEAN TEST ASSAY 2466

Values not valid below 150 psig



# f**-11-C~.Y** 2466 ppm BALANCE CERTIFIED CONCENTRATION CARBON MONOXIDE NITROGEN

CERTIFIED BY ANALYZED BY 

# I,ll THIS CYLINDER NO. CC 139848



## I HAS BEEN CERTIFIED ACCORDING TO SECTION EPA !5(;0/R97/121 

# II. OF TRACE, ABILITY p. ROTOCOL NO. Rev. 9/97

PROCEDURE G1

\ ' CERTIFIED ACCURACY ± 1 % NIST TRACEABLE

CYLINDER PRESSURE 2000 PSIG 

# I CERTIFICATION DATE 12/29/05

EXPIRATION DATE 12/29/08 TERM 36 MONTHS**IMPORTAI~T** Information contained herein has been prepared at your request by qualified experts within Praxair Distribution, Inc, While we believe that the information is accurate within the limns of the analytical methods employed and is complete to the extent of the specific analyses performed, we make no warranty or representation as to the suitablily of the use of the information for any particular purpose. The information is offered with the understanding that any use of the information is at the sole discretion and risk of the user, tn no event shall the Iiabilty of Praxair Distribution, Inc., arising out of the use of the information contained herein exceed the fee established for providing such information, 1 

### , I 'I 

## IIi ! II 

## II

11 

### i

### Praxair 5700 South Alameda Street Los Angeles, CA 90058 Telephone: (323) 585-2154 Facsimile: 542-6689

CUSTOMER DELTA AIR QUALITY P.O NUMBER

COMPONENT NISTSRMNO. CYLINDER NO. CON CENTRA TION CARBON MONOXIDE GMIS vS.SRM#2637 CC 119198 1703 ppm

GMXS ANALYZER MAKE-MODEL-S/N HORIBA, VIA-510, SIN 576876015 Z=ZEROGAS R=REFERENCE STANDARD C=GAS CANDIDATE

LAST CALIBRATION DATE 01/22/07 SECOND ANALYSIS DATE 01/29/07 R 1703 C 1509 CONC. 1509 Z 0 C 1510 CONC. 1510 C 1509 R 1703 CONC. 1509 MEAN TEST ASSAY 1509 

### Z 0 R 1703 

### Z 0 UIM ppm 01/22/07 C 1507 CONC. 1507 C 1507 CONC. 1507 R 1703 CONC. 1508

MEAN TEST ASSAY 1507 NDIR 1. COMPONENT CARBON MONOXIDE ANALYTICAL PRINCIPLE FIRST ANALYSIS DATE

Z 0 R 1703 R 1703 Z 0 Z 0 C 1508 UIM ppm 

# I II 

# r I

Values not valid below 150 psig

# COISO~

CHARLES BURDELL WILLIAMS CERTIFIED CONCENTRATION CARBON MONOXIDE 1508 ppm NITROGEN BALANCE

# 5lJi~Scf

CERTIFIED BY EPA-6i;0/R97/121

36 MONTHS TERM 

# 0 ,,//1**/.~** KING CHEUNG ANALYZED BY 

# I TIllS CYLINDER NO. " ""
! HAS BEEN CERTIFIED ACCORDING TO SECTION

OF TRACEABILITY PROTOCOL NO. Rev. 9/97

I PROCEDURE G1
1 CERTIFIED ACCURACY ± 1 % NIST TRACEABLE

CYLINDER PRESSURE 2000 PSIG j 

### I CERTIFICATION DATE 01/29/07 I! 

# II EXPIRATION DATE 01/29/10**1l.'===================W~~====t~'=#===6~=#=#=I.~** 

# I il



# Il

IMPORTANT

Information contained herein has been prepared at your request by qualified experts within Praxair Distribution, Inc. While we believe that the information is accurate within the limits of the analytical methods employed and is complete to the extent of the specific analyses performed, we make no warranty or representation as to the suitability of the use of the information for any particular purpose. The information is oHered with the understanding that any use of the information is at the sole discretion and risk of the user. In no event shall liability of Praxair Distribution, Inc. arising out of the use of the information contained herein exceed the fee established for providin!=j such information. /' 

### /} q /;"},,£Client: SDG&E Location: Palomar Unit: 2 EPA Method 25A Calibration Gas Selection
Date: By: 10/22/07 Finken

Gases Selected Spec.,%FS Results Content Concentration Cylinder No. Dilution Factor, % min max Gas, %FS Status High Methane 2961 CC74660 0 80 90 84.6 OK Mid Methane 1777 N/A 60 45 55 50.8 OK Low Methane 888 N/A 30 25 35 25.4 OK

### EPA METHOD·25A CALIBRATION RESULTS
Client: Location: Unit: SDG&E Palomar Date: By: 

### 2 10/22/07 Finken

Analyzer Make Thermo Environmental Model 

### 51 Serial No. 

### 100590

PRE-TEST CALIBRATION ERROR Analyzer Range 3500 STATUS Zero Gas Value 

### 0


### - Analyzer Reads 

### 12.79



## - High Gas Value 

### 2,961



## - Analyzer Reads 

### 2986.666



# - Mid Gas Predicted Value 

### 1804.79



## - Analyzer Reads 

### 1821.19



## - Error (% 

### of Gas Value) 

### 0.9% Pass Low Gas Predicted Value 

### 908.79



# - Analyzer Reads 

### 941.46



## - Error (% 

### of Gas Value) 

### 3.7% Pass

# !jlff~PRAXAIR Praxair 5700 South Alameda Street LosAngeles, CA 90058 Telephone: (323) 585-2154 Facsimile: (714) 542-6689

CUSTOMER DELTA AIR QUALITY P.O NUMBER

COMPONENT 

# II

METHANE GMIS . NIST SRM NO. vs.SRM1I2751 CYLINDER NO. SA 4754 CONCENTRATION 225 ppm



# II R=REFERENCE STANDARD Z=ZEROGAS C=GAS CANDIDATE

ANALYZER MAKE-MODEL-SIN GCI FLA1".E I0NIZATIQN 06/08/06 C 971337 CONC. C 973272 CONC. R 985096 CONC.

MEAN TEST ASSAY 221.3 Z 223.0 R 221.4 Z 221.9 ppm U/M uV-s 1. COMPONENT METHANE GMIS ANALYTICAL PRINCIPLE FIRST ANALYSIS DATE

Z 0 R 987595 R. 982046 Z 0 Z 0 C 969494 VIM aV-s. HP 5890 SERIES II SiN 3310A48533 LAST CALIBRATION DATE .06/01/06 SECOND ANALYSIS DATE R C CONC. Z C CONC. C R CONC. MEAN TEST ASSAY

I

## I 

# I

PROCEDURE G2 @7.5% SPLI+. GAS DIVIDER ENVIRONIC 8-2000 WITH CF=0.07494 ASSAY DATE: 06/08/06; RESULT: 2961ppm CH4. VALUE NOT VALID <150**PSIG~** CHRONOLOGY: LAST ASSAY DATE AND RESULT: OS/20/03, 2992 ppm CH4.

CERTIFIED CONCENTRATION TIDS CYLINDER NO. CC 74666 HAS BEEN CERTIFIED ACCORDING TO SECTION EPA-60Q/R97/121 OF TRACEABILITY PROTOCOL NO. Rev. 9/97 PROCEDURE G2 rev 08/25/99 CERTIFIED ACCURACY :!: 2 % NIST TRACEABLE CYLINDER PRESSURE 1200 PSIG CERTIFICATION DATE 06/08/06 EXPIRATION DATE 06/08/09 TERM 36 MONTHS 2961 ppm BALANCE

PHD TIEN NGUYEN. METHANE NITROGEN

CERTIFIED BY MICHAEL TSANG

# f"~ / ANALYZED BY

IMPORTANT Information contained herein has been prepared at your request by qualified experts within Praxair Distribuiion, Inc. While we believe that the information is accurate within the limits of the analytical methods employed and is complete to the extent of the specific analyses performed, we make no warranty or representation as to the sUitablity of the use of the information for any particular purpose. The information is offered with the understanding that any use of the information is at the sole discretion and risk of the user. In no event shall the lial?llty of Praxair Distribution, Inc., arising out of the use of the information contained herein exceed the fee established for providing such information. 

# G -0 

# G

### EPA Method 205 Gas Divider Field Evaluation Critical Orifice/Capillary Systems
Client: Unit: Date: SDG&E Palomar 

### 10/21/2007 Data By: BF Analyzer: CAl 02 Instrument n 

### 22 % High Range Cal Gas Dilution Gas: Mid Level Gas: 

### 19.07 

## o 9.94

Percent Difference Percent Difference from Gas Divider Setting Injection Results From Predicted Value Average Percent of Predicted Setting Gas Value Value Run 

### 1 Run 

### 2 Run 

### 3 Average Average Difference Run 

### 1 Run 

### 2 Run 

### 3 Setting 

### 1 80.00 15.26 15.20 15.27 15.12 15.20 0.39% 0.05% 0.46% -0.51% Setting 

### 2 60.00 11.44 11.48 11.47 11.28 11.41 0.27% 0.62% 0.51% -1.13% Setting 

### 3 50.00 9.54 9.60 9.53 9.48 9.54 0.00% 0.63% -0.04% -0.59% Setting 

### 4 

### 40.00 7.63 7.68 7.68 7.61 7.61 0.29% 0.97% 0.93% 0.00% Setting 

### 5 20.00 3.81 3.86 3.86 3.86 3.86 -1.21% 0.00% 0.00% 0.00%
Mid Gas 

### 9.94 10.071 

# I 10.049 

# I 10.151 10.09 -1.51% -0.19% -0.41% 0.60% Status: Pass Pass if all % 

### <2



### 10-21-07 Gas Divder Proof EPA 

### 205 11/20/2007 9:32 AMSEMI-ANNUAL DRY GAS METER/ORIFICE CALIBRATION

Orifice Method

- Triplicate RunslFour Calibration Points English Meter Box Units, English K' Factor Filename: IIReceptionldelta publicICalibrationsIMetersI12-wcs\20071[Semi-Annual Meter Calibration

- 12wcs-7-24-07.xls]WCS File Modified From: APEX 522 Series Meter box Calibration Revised: 4/812005 Model #: 10#: Date: Bar. Pressure: Performed By: 12 wcs 712412007

29.62 (in. Hg) D McCune

DRY GAS METER READINGS CRITICAL ORIFICE READINGS
Volume Volume Volume Initial Temps. Final Tamps. Orifice K'Orifice Actual Ambient Temperature dH Time Initial Finai Total Inlet Outlet Inlet Outlet Serial# Coefficient Vacuum Initial Final Average (in H2O) (min) (cu It) (cult) (cult) (deo F\ idea F\ idea FI Idea F) (number! isee abovel (in Hal (deg Fl (deg F) (deg F)

0.12 I 26.00 I 116.605 I 122100 I 5.495 I 88.0 I 870 88.0 870 33 0.1612 24.5 860 I 86.0 I 86.0 012 I 26.00 I 122.100 I 127.643 I 5.543 I 87.0 I 87.0 87.0 870 33 0.1612 24.5 86.0 86.0 86.0 012 I 26.00 I 127.643 I 133.165 I 5.522 I 87.0 I 87.0 87.0 87.0 33 0.1612 24.5 86.0 86.0 86.0
0.58 I 12.00 I 149.832 I 155.412 I 5.580 87.0 87.0 87.0 87.0 48 0.3465 23.0 85.0 85.0 85.0 0.58 I 12.00 I 155.412 160.970 5.558 87.0 870 870 87.0 48 I 0.3465 23.0 85.0 85.0 85.0 0.58 12.00 160970 166.555 5.585 87.0 87.0 87.0 I 87.0 48 I 0.3465 23.0 85.0 85.0 85.0
190 700 133.165 138.724 5.559 87.0 87.0 87.0 87.0 63 0.5888 20.0 85.0 85.0 85.0 1.90 7.00 138.724 144.275 5.551 I 87.0 I 87.0 I 87.0 I 87.0 I 63 I 0.5888 I 20.0 85.0 85.0 I 85.0 190 7.00 I 144.275 I 149.832 I 5.557 I 870 I 87.0 I 87.0 I 87.0 I 63 I 0.5888 I 20.0 85.0 I 85.0 I 85.0
3.60 I 5.00 I 100.400 105.795 5.395 85.0 85.0 85.0 85.0 73 0.8202 17.0 84.0 I 84.0 I 84.0 3.60 I 500 105.795 111.180 5.385 86.0 85.0 86.0 85.0 73 0.8202 17.0 85.0 I 85.0 I 85.0 3.60 I 5.00 I 111.180 I 116.531 5.351 I 86.0 85.0 86.0 86.0 73 I 0.8202 I 17.0 85.0 I 85.0 I 85.0

DRY GAS METER ORIFICE DRY GAS METER ORIFICE CALIBRATION FACTOR CALIBRATION FACTOR IndiVidual Individual Orifice Orifice VOLUME VOLUME VOLUME VOLUME VOLUME Run Orifice Average Average CORRECTED CORRECTED CORRECTED CORRECTED NOMINAL Y dH@

Vm(stdl Vm(stdl Vcr(std) VCr(std) Vcr Value Value 0.95 < Y Ymax

- Ymin 0.98 < YlYd dH@-dH@av (cu ft\ (liters)' (cult) llitersl' (cultl (number) lin H2O) < 1.05? < 0.010? < 1.02? < 0.155? 5.246 148.6 5.313 150.5 5.552 1.013 1.545 Pass 5.296 150.0 5.313 150.5 5.552 1.003 1.545 Pass 5.276 149.4 5.313 150.5 5.552 1.007 1.545 Pass Average 1.008 1.545 Pass Pass Pass
5.338 151.2 5.276 149.4 5.503 0.988 1.613 Pass 5.317 150.6 5.276 149.4 5.503 0.992 1.613 Pass 5.342 151.3 5.276 149.4 5.503 0.987 1.613 Pass Average 0.989 1.613 Pass Pass Pass
5.335 151.1 5.229 148.1 5.455 0.980 1.830 Pass 5.327 150.9 5.229 148.1 5.455 0.982 1.830 Pass 5.333 151.0 5.229 148.1 5.455 0.981 1.830 Pass Average 0.981 1.830 Pass Pass Pass
5.218 147.8 5.208 147.5 5.422 0.998 1.790 Pass 5.204 147.4 5.203 147.4 5.427 1.000 1.793 Pass 5.169 146.4 5.203 147.4 5.427 1.001 1.792 Pass Averaae 1.002 1.792 Pass Pass Pass 

# I Average Yd: 0.995 dH@: 1.695 

# I

Q @ dH = 1: 0.576
SIGNED: DAVID MCCUNE Date: 7/2412007

Seml·Annual Meter Calibration • 12wcs·7·24·07 WCS 11120/2007 12:12 PMSEMI-ANNUAL DRY GAS METERJORIFICE CALIBRATION

Orifice Method

- Triplicate RunslFour Calibration Points English Meter Box Units, English K' Fector Fileneme: IIReceptionldelta publicICalibrationsIMetersI5-wcsI20071[Semi-Annual Meter Celibratlon -5WCS 7-5-07.xlsjWCS File Modified From: APEX 522 Series Meter box Calibration Revised: 4/8/2005 Model #: 10#: Date: Bar. Pressure: Performed By: 5WCS 7/5/2007 29.68 (in. Hg) RMONZON

DRY GAS METER READINGS CRITtCAL ORIFICE READINGS
Volume Volume Volume Initial Temps. Final Temps. OrifiCe K' Orifice Actual Ambient Temperature dH Time Initial Final Total Inlet Outlet Inlet Outlet Serial# Coefficient Vacuum Initial Final Average (in H20) (min) (cuft) (cuft) (cuft) (deg F) (de" F\ Ide" F\ (deg F) I number) (see above) (in Hal (dea Fl (deo Fl (dea F) 0.12 J 26.00 I 250.650 I 256.050 J 5,400 I 81.0 I 79.0 I 82.0 80.0 33 0.1553 I 24.0 77.0 I 77.0 I 77.0 0.12 I 26.00 I 256.050 I 261,460 I 5,410 I 82.0 I 80.0 820 80.0 33 0.1553 I 24.0 77.0 I 77.0 I 77.0 0.12 I 26.00 J 261,460 I 266.865 I 5,405 I 82.0 J 80.0 820 800 33 0.1553 I 24.0 77.0 I 77.0 I 77.0
063 I 12.00 I 199,460 I 204.840 I 5.380 I 78.0 I 77.0 81.0 78.0 48 0.3465 21.0 760 75.0 I 75.5 0.63 I 12.00 I 204.840 I 210.230 I 5.390 81.0 78.0 81.0 78.0 48 0.3465 21.0 750 I 75.0 I 75.0 0.63 I 12.00 I 210.230 I 215.615 I 5,385 I 81.0 I 78.0 I 810 I 78.0 I 48 I 0.3465 I 210 75.0 I 75.0 I 75.0
1.90 I 7.00 I 233.850 I 239.240 I 5.390 I 80.0 I 78.0 I 80.0 I 79.0 63 I 0.5888 I 18.0 I 760 I 76.0 I 76.0 1.90 I 7.00 I 239.240 I 244.640 I 5,400 I 80.0 I 79.0 I 81.0 I 79.0 I 63 I 0.5888 I 18.0 I 76.0 I 77.0 I 76.5 1.90 I 700 I 244.640 I 250.060 I 5,420 I 81.0 I 79.0 I 81.0 I 79.0 63 I 0.5888 I 18.0 I 770 I 77.0 I 770
3.60 I 5.00 I 217152 I 222,440 I 5.288 I 81.0 I 79.0 I 81.0 I 79.0 73 I 0.8202 I 16.0 I 76.0 76.0 76.0 3.60 5.00 I 222,440 227.725 5.285 I 81.0 I 79.0 I 81.0 I 79.0 73 I 0.8202 I 16.0 I 76.0 I 76.0 I 76.0 3.60 5.00 I 227.725 I 233.015 I 5.290 I 81.0 I 79.0 I 81,0 I 79,0 73 I 0.8202 I 16,0 76.0 I 760 I 76,0

DRY GAS METER ORIFICE DRY GAS METER ORIFICE CALIBRATION FACTOR CALIBRATION FACTOR Individual Individual Orifice Orifice VOLUME VOLUME VOLUME VOLUME VOLUME Run Orifice Average Average CORRECTED CORRECTED CORRECTED CORRECTED NOMINAL Y dH@

Vm(std) Vm(std) Vcr(std) Vcr(std) Vcr Value Value 0.95 < Y Ymax

- Ymin 0.98 < YlYd dH@-dH@av (cult) Oiters) (cult) Oiters) (cu ft) (number) (in H20) < 1,05? < 0.010? < 1.0:2? < 0.155? 5,232 148.2 5.172 146,5 5.304 0,988 1.656 Pass 5.237 148.3 5.172 146.5 5.304 0.987 1,655 Pass 5.232 148.2 5,172 146.5 5,304 0.988 1.655 Pass Average 0.988 1.655 Pass Pass Pass
5.239 148,4 5.333 151,0 5,455 1.018 1.748 Pass 5.239 148.4 5,335 151,1 5,452 1.018 1.745 Pass 5.234 148.2 5,335 151,1 5,452 1.019 1,745 Pass Average 1.019 1.746 Pass Pass Pass 5,258 148.9 5,284 149.6 5,409 1.005 1,824 Pass 5,263 149.0 5.281 149,6 5,412 1.004 1.824 Pass 5,280 149.5 5.279 149.5 5.414 1.000 1.826 Pass Average 1.003 1.825 Pass Pass Pass
5.173 146.5 5.257 148.9 5.382 1.016 1.780 Pass 5.170 146,4 5.257 148.9 5.382 1.017 1.780 Pass 5,175 146.5 5.257 148.9 5.382 1.016 1.780 Pass Averaae 1.016 1.780 Pass Pass Pass 

# I Average Yd: 1.006 dH@: 1.752 

# I

Q @ dH = 1: 0.567 SIGNED: Date:

Semi-Annual Meter Calibration -5WCS 7-5·07 WCS 1112012007 12:13 PM**~~** 

### SK25-0000573 Delta Air 

# I APEX INSTRUMENTS METER CONSOLE CALIBRATION 

## I
Meter Console Information Console Model 

## N/A Console Serial Number 

## N/A Encoder Model 

## N/A Gas Meter Model 

### SK25 Gas Meter Serial Number 

### 583 Totalizer Model 

## N/A Temp Controller Model 

## N/A Totalizer Scale Factor 

## N/A Temp Display Model 

## JENCO

Wet Test Meter Idenification Wet Test Meter Calibration Factor 1538912 

### 11.0000 Calibration Conditions ICalibration Technician 

### lEW 

## I Barometric Pressure 

## I (P b ) 

### 1758.0 ICalibration Date 

## I mm Hg -, 

### 119-880-07 

## l I

Calibration Data Results Run Time Dry Gas Meter Wet Test Meter Standardized Volumes Dry Gas Meter Gas Gas Gas Gas Gas Dry Gas WetTest Calibration Factor Corrected Elapsed Pressure Volume Temperature Volume Temperature Meter Meter Value Variation Flowrate (0) (Pm) (V m ) (t m ) (Vw ) (tw ) (Vmlstdl) (Vw(stdl) (Y) (6. Y) (Om) min mm H 2 O liters 

### °c liters 

### °c std liters std liters slm Run 1 • Initial 

### 0 17.27 44.4 27.22 903.63 26 Final 

### 6 17.27 56.6 27.22 915.648 26 Total/Avg 

### 6 17.21 

### 12.2 2/.22 12.018 26 11.904 11.754 0.9874 -0.004 1.96 Run 2

- Initial 

### 0 15.25 6.6 26.67 , 866.232 26 Final 

### 10 15.25 21.8 27.22 881.137 26 TotallAvg 

### 10 15.25 15.2 26.945 14.905 26 14.841 14.518 

### 0.8822 -0.010 1.46 Run 

### 3 • Initial 

### 0 12.45 21.8 27.22 881.137 26 Final 

### 12 12.45 32.8 27.78 892.097 26 TotaJ/Avg 

### 12 12.45 11 27.5 10.96 26 10.718 10.719 1.0002 0.008 0.89 Run 4 - Initial 

### 0 11.3 32.8 27.78 892.097 26 Final 

### 18 11.3 44.4 25.56 903.63 26 TotallAvg 

### 18 11.3 11.6 26.67 11.533 26 11.332 11.280 0.9954 0.003 0.63 Run 5

- Initial 

### 0 9.91 56.6 27.22 915.648 26 Final 

### 36 9.91 67.4 26.67 926.363 26 Total/Avg 

### 36 9.91 10.8 26.945 10.715 26 10.540 10.480 0.9943 0.002 0.29 

# I Average Meter Canbration Factor Y 

# I 0.9919 

# I

Note: For Calibration Factor Y, the ratio of the reading of the calibration meter to the dry gas meter, acceptable tolerance of individual values from the average is +-0.02.

Date Signature I certify that the above Dry Gas Meter was calibrated in accordance with USEPA Methods, CFR 40 Part 60, using the Precision Wet Test Meter #11AE6, which In turn was calibrated uSing the**~encan** I:lelll#over #**~7!:l5,** certilicate '# 1-1 U7, which IS traceable to the NatlOnall:lureau ot ::>taneJardSJN.I.::>. I.).

'_:/;25-00(1;1573 Della Air Page 1 of 1 Printed on 9/79/2007Me 

# _ .----5: A

z Side View S Type Pitot Tube Dimensional Calibration Record
_t M, 

# -=l [:x:J 

# ----r- M 2 End View -/ M s 

# r-

# _~~~_{_ 

# 3(**e ~** -I
TnnVi"w IAcCeptaDlllty**~no~** .. U,,, .VI> UI"

... 1> Criteria z< 1/8" w< 1/32" Yes 3/8" nla nla nla nla nla nla 10 degrees 5 degrees Ot Side View, Side View, Average Face Average Face

Impact Impact Opening Plane Opening Plane Angle, offset Pltot \0 Date Calibrated By openings openings Pa= Pb Tubing M1 M2 M3 M4 M5 M6 from Frontal Angle Ratio of PlOt Status Properly Properly Diameter, dt perpendicular from parallel to aligned, Z < aligned, w to transverse Longitudinal 1/8" < 1/32" avis Axis 062 7/5/07 AA y y y 0.375 0.902 0.908 0.911 0.909 0.472 0.468 -0.5 0.1 1.2 Pass

Reference "A Type-S Pitot TUbe Calibration Study, Robert F. Vollaro, October 15, 1975 If tube is not visibly deformed it is assumed that Pa = Pb = .5 x avg. of M1 M2. and that average face opening plane angles represent Individual angles to. tube axisM.**1'nnVi~w** 

# -+/ M, 

# r- 

# --? 5(**~1 -~--=-I** 

# +-~xBl**-r~** M2 End View S Type Pitot Tube Dimensional Calibration Record

Side View 

### = 

# _----<

A
z

AcceplaDlllIy**~no** .. u, ..**.U~** U\**,.~**

Criteria z< 1/S" w< 1/32" Yes 3/S" nla nla nla nla nla nla 10 degrees 5 degrees Dt Side View, Side View, Average**~ace** Average Face

Impact Impact Opening Plane Opening Plane Angle, offset Pitot 10 Date Calibrated By openings openings Pa=Pb Tubing M1 M2 M3 M4 M5 M6 from Frontal Angle Ratio of PlOt Status Properly Properly Diameter, dt from parallel to aligned, Z < aligned, w perpendicular Longitudinal to transverse 1/S" < 1/32" RYI" Axis 073 7/5/07 AA Y Y Y 0.375 0.951 0.949 0.944 0.959 0.431 0.426 0.2 -1.0 1.3 Pass

Reference "A Type-S Pitot Tube Calibration Study, Robert F. Vollaro, October 15,1975 If tube is not visibly deformed it is assumed that Pa = Pb = .5 x avg. of M1 M2, and that average face opening plane angles represent Individual angles to tUbe axis

# Delta~ )Jr Quality Services, lncof'porated


### NOZZlECAlIBRATJON 

### DATA

, 

### Nozzle 1.0. 

## ft/**~/r;~** 

### Date /0 

# /07 I 10) 

### Material 

## s-".S- By .47 

### Configuration (L or Hook) /J 

# -

o /9

.; . r 

### Maximum Difference OJ - OJ =(200 I 

### (must be < 

### 0.02")



### . Average On 

### = 

# O. /;/ {;

Note: Measure three diameters with micrometer

Nozzle Calibration Data

# Della~ Ajr Quality Services, Incorporated


### NOZZLECALIBRATION DATA



### Nozzle 1.0. =P' /'/ 

## 4 f.:,**~.** 

### Date '''1 

## /z/ 

## IF'> Material 

## s-s; By Configuration (L or Hook) 

## //

. f 

### Maximum Difference OJ - OJ:: O,OQI 

### (must be < 

### 0.02")
Average On:: () , 

### dO (.,

Note: Measure three diameters with micrometer

Nozzle Calibration Data

# Della~ }Jr Quality Services, incorporated


### NOZZLE CALIBRATION 

### DATA

Nozzle 1.0. 

### #3" Date /75 J7 I 

# k':) Material 

## G /G------ Bv**~/** 

### Configuration (L 

### or Hook) 

## ./-/

.j 

### Maximl.lm Difference OJ

- OJ 

## = () .001 (must be 

### < 

### 0.02")
Average On 

# = O.**~S**

Note: Measure three diameters with micrometer

Nozzle Calibration Data

# Oelfa~ Air Qualify Services, Incorporated


### NOZZLE CALIBRATION 

### DATA

Nozzle 1.0. 

## -";I (/ Date //J17 /

### /~? 

### Material**Gk~** 

### By 

### .---7? Configuration (L or Hook) 

### /./



# o·z:ozMaximum Difference Dj - 

### OJ 

# = O,OOJ(must 

### be < 

### 0.02")
Average On = 

### O,;;::cJJ



### Note: Measure three diameters 

### with micrometer



### Nozzle Calibration Data

### Appendix A.2 Quality Assurance Program Summary

R026220 A-3

### QUALITY ASSURANCE PROGRAM SUMMARY 

### Delta Air Quality Services, Inc. is committed to providing emission related data which is complete, precise, accurate, representative, and comparable. Delta's quality assurance program and procedures are designed to ensure that the data meet or exceed the requirements of each test method for each of these items. The quality assurance program consists of the following items:

• Assignment of an Internal QA Officer

• Development and use of an internal QA Manual

• Personnel training

• Equipment maintenance and calibration

• Knowledge of current test methods

• Chain-of-custody

• QA reviews of test programs Assignment of an Internal QA Officer: Delta has assigned an internal QA Officer who is responsible for administering all aspects of the QA program. Internal Quality Assurance Manual: Delta has prepared a QA Manual according to the guidelines issued by EPA. The manual documents and formalizes all of Delta's QA efforts. The manual is a "living" document which is revised as Delta adds capabilities and procedures. The QA manual provides details on the items provided in this summary. Personnel Training: Personnel training is essential to the production of high quality test results. Delta's training programs include:
• A requirement for all technical personnel to read and understand the test methods performed 

## • A requirement for all technical personnel to read and understand the Delta QA manual

• In-house training

• Quality Assurance meetings

• Attendance at EPA sponsored training courses

• Maintenance of training records. Equipment Maintenance and Calibration: All laboratory and field equipment used as a part of Delta's emission measurement programs is maintained according to manufacturer's recommendations. A summary of the major equipment maintenance schedules is summarized in Table A-1. In addition to routine maintenance, calibrations are performed on all sampling equipment according to the procedures outlined in the applicable test method. The calibration intervals and techniques for major equipment components is summarized in Table A-2. Knowledge of Current Test Methods: Delta maintains current copies of EPA, ARB, and SCAQMD Source Test Manuals and Rules and Regulations. Delta personnel coordinate, attend, and present papers at emission testing related conferences. Delta personnel maintain memberships in the Air and Waste Management Association and Source Evaluation Society. Delta personnel continually work with industry and regulatory agencies in monitoring and developing new methods and rules.

R026220 A-4

### Chain-of-Custody: Delta maintains chain-of-custody documentation on all data sheets and samples. Samples are stored in a locked area accessible only to Delta source test personnel. Data sheets are kept in the custody of the originator, program manager, or in locked storage until return to Delta's office. Upon return to the office, copies are made and stored in a locking file. The original data sheets are used for report preparation and any additions are initialed and dated. QA Reviews: Every Delta report is reviewed by someone separate from the report author. The reviewer is selected based on knowledge of the test methods used and the source tested. Periodic field, laboratory, and report reviews are performed by the QA 

### Officer. Test plans are reviewed to ensure proper test methods are selected and reports are reviewed to ensure that the methods was followed and any deviations from the methods are justified and documented.

R026220 A-5

### TABLE A-1 EQUIPMENT MAINTENANCE, SCHEDULE 

### Frequency of Equipment Acceptance Limits Service Methods of Service Pumps 1. Absence of leaks Every 500 hours of 1. Visual inspection 2. Ability to draw operation or 6 2. Clean manufacturers months, whichever 3. Replace parts required vacuum is less 4. Leak check and flow
Flow Meters 1. Free mechanical Every 500 hours of 1. Visual inspection movement operation or 6 2. Clean months, whichever 3. Calibrate is less Sampling 1. Absence of As recommended As recommended Instruments malfunction by manufacturer by manufacturer 2. Proper response to zero, span gas Integrated sampling 1. Absence of leaks Depends on nature 1. Steam clean tanks of use 2. Leak check
Mobile van 1. Absence of leaks Depends on nature 1. Change filters sampling system of use 2. Change gas dryer 3. Leak check 4. Check for system contamination Sampling lines 1. Sample After each test 1. Blow dry, inert degradation less series gas through line than 2% until dry.

R026220 A-6

### TABLEA-2 MAJOR SAMPLING EQUIPMENT CALIBRATION REQUIREMENTS

Acceptable Calibration Sampling Equipment Calibration Freguency Calibration Procedure Criteria Continuous Analyzers Before and after each 3-point calibration error < 2% of analyzer range test day test Continuous Analyzers Before and after each 2-point sample system < 5% of analyzer range test run bias check Continuous Analyzers After each test run 2-point analyzer drift < 3% of analyzer range determination CEMS System Beginning of each day leak check < 1 in. Hg decrease in 5 min. at> 20 in. Hg Continuous Analyzers Semi-annually 5-point Iinearity* < 1% of analyzer range NO x analyzer Daily N02 -> NO converter >90% efficiency S-type pitot tube Prior to each project Visual inspection Meet dimensional criteria of Method 2 Differential Pressure Semi-annually Correction factor based +/-5% Gauges (except for on 5-point comparison to manometers) standard Differential Pressure Bi-monthly 3-point comparison to +/-5% Gauges (except for standard, no correction manometers) factor

Manometer Semi-annually Clean and replace fluid
Barometer Semi-annually Adjusted to mercury-in- +/- 0.1 inches Hg glass or National Weather Service Station Dry gas meter Semi-annually Calibration check at 4 +/-2% flow rates using a NIST

traceable standard Dry gas meter Bi-monthly Calibration check at 2 +/- 2% of semi-annual flow rates using a NIST factor

traceable standard Dry gas meter orifice Annually 4-point calibration for L'1H@ Temperature sensors Semi-annually 3-point calibration vs. +/-1.5% NIST traceable standard 

### *SDCAPCD requirement

R026220 A-7

### Appendix A.3 ARB Certification/SCAQMD Laboratory Approval Program

R026220 A-8N O'l N N 

### o



## :po <.D

### Ij~ 

## fS.

# [f~

9056165N 0) N N 

### o



## :po

->. 

### o

# i~ 

# fi) 

# 'Ie>

9056165

# South Coast Air Quality Management District 21865 Copley Drive, Diamond Bar, CA 91765-4178 (909) 396-2000 • www.aqmd.gov February 6, 2007
Mr. Robert A. Finken Delta Air Quality Services, fnc. 1845 N. Case Street Orange, CA 92865
Dear Mr. Finken: Subject: Laboratory Approval Program Approval Reference #96LA1220
We completed our review of the renewal application you suhmitted for approval under the South Coast Air Quality Management District's Laboratory Approval Program (LAP). We are pleased to inform you that your firm is approved for the period beginning January 31, 2007, and ending January 31, 2008 for the following methods: SCAQMD Methods 1-4 SCAQMD Methods 5.1-6.1 SCAQMD Rule 1420

- Amhient Sampling However, we have not completed the evaluation of your application for LAP approval for SCAQMD Method 100.1 at this time. Renewal of your LAP approval requites a successful system auditto be performed on your Method 100.1 equipment three major sub-systems: sample interface, gas analyzers and data acquisition. So that your LAP approval will not lapse while we are completing the approval process, I am extending the expiration date for this method from January 31, 2007 to July 31, 2007.
Thank you for participating in the LAP. Your cooperation helps us to achieve the goal of the LAP: to maintain high standards of quality in the sampling and analysis of source emissions.
You may direct any questions or informa.tion to LAP Coordinator Ramil'o Gonzalez. He may be reached 

### by telephone at (909) 396-2228 or facsimile at (909) 396-2099.

RG:svc cc: Ramiro Gonzalez

R026220 A-11

# South Coast Air Quality Management District 21865 Copley Drive, Diamond Bar, CA 91765-4178 (909) 396-2000 • www.aqmd.gov


## September 19,2007

Mr. Robert Finken Delta Air Quality Services; Inc. 1845 N. Case St. Orange, CA 92865-423

Subject: Laboratory ApprovalProgratn (LAP) Approval.Extension Reference: 96LA1220
Dear Mr. Finken:
We have not completed the evaluation .of your renewal application for SCAQMD Method 100.1 at this time. So that your approval will not lapse while We are completing this approval process, I atn e:&tendingYCHlf LAP expiration date for this method from September 30,2007 to November 30,2007.
Thank you for participating in the LAP. Your cooperation helps us to achieve the goal of the LAP; to maintain high standards ofquaHty in the sampling and analysis of source emISSiOns.
You may direct any questions ot information to LAP Coordinator, Ramiro Gonzalez. He may be reached by telephone at (909) 396

.. 2228, by facsimile at (909) 396-2099 or via email: rgonzalez@a:qmd.gov

Sincerely,

# ~~,&e~~g~ Source Test Engineering RG:pb cc: Ramiro Gonzalez

R026220 A-12

### APPENDIX B

R026220 

### PROCESS DATA

B-110-22-07 Cold Start Fuel-Load-Stack Flow Data

CTGASFLW CTLOAD DBGASFLW FUELFACT GASGCV 02 STKFLOW Date Time (HSCFH ) (MW ) (HSCFH ) ( ) (BTU/SCF) (PERCENT) (SCFH ) 10/22/2007 6:27 679.88 0 0.1 8710 1020 21.09 10/22/2007 6:28 1012.69 0 0.07 8710 1020 21.09 10/22/2007 6:29 1424.44 0 0.08 8710 1020 21.06 10/22/2007 6:30 1764.24 0 0.09 8710 1020 20.24 10/22/2007 6:31 2057.35 0 0.08 8710 1020 18.37 15,522,946 10/2212007 6:32 2520.48 0 0.08 8710 1020 17.52 13,877,345 10/2212007 6:33 3531.2 0 0.07 8710 1020 17.39 18,717,508 10/22/2007 6:34 4850.99 0 0.07 8710 1020 17.26 24,781,442 10/22/2007 6:35 4726.43 0 0.07 8710 1020 17.32 24,615,930 10/22/2007 6:36 4668.38 0 0.08 8710 1020 17.58 26,201,708 10/22/2007 6:37 4623.56 0 0.07 8710 1020 17.63 26,334,704 10/2212007 6:38 4590.15 0 0.06 8710 1020 17.66 26,404,734 10/2212007 6:39 4562.61 0 0.06 8710 1020 17.69 26,480,318 10/2212007 6:40 4535.28 0 0.08 8710 1020 17.71 26,457,002 10/2212007 6:41 4518.87 0 0.08 8710 1020 17.72 26,474,428 10/2212007 6:42 4500.71 0 0.06 8710 1020 17.73 26,469,948 10/22/2007 6:43 4487.78 0 0.08 8710 1020 17.75 26,508,382 10/2212007 6:44 4475.88 0 0.06 8710 1020 17.75 26,469,924 10/22/2007 6:45 4465.3 0 0.07 8710 1020 17.76 26,467,834 10/2212007 6:46 4456.85 0 0.06 8710 1020 17.76 26,423,306 10/22/2007 6:47 4443.14 0 0.06 8710 1020 17.77 26,405,946 10/22/2007 6:48 4443.3 0 0.08 8710 1020 17.77 26,415,984 10/2212007 6:49 4437.06 0 0.06 8710 1020 17.78 26,462,138 10/2212007 6:50 4428.41 0 0.06 8710 1020 17.78 26,418,202 10/2212007 6:51 4423.9 0 0.07 8710 1020 17.78 26,388,760 10/22/2007 6:52 4423.1 0 0.07 8710 1020 17.78 26,403,402 10/2212007 6:53 4419.08 0 0.07 8710 1020 17.79 26,435,952 10/22/2007 6:54 4413.91 0 0.06 8710 1020 17.78 26,363,120 10/22/2007 6:55 4412.52 0 0.06 8710 1020 17.79 26,405,890 10/2212007 6:56 4406.21 0 0.05 8710 1020 17.79 26,378,034 10/2212007 6:57 4398.31 0 0.06 8710 1020 17.79 26,351,786 10/22/2007 6:58 4405.21 0 0.07 8710 1020 17.79 26,387,778 10/22/2007 6:59 4769.28 7 0.05 8710 1020 17.79 28,569,700 10/22/2007 7:00 5614.88 17 0.05 8710 1020 17.78 33,496,682 10/2212007 7:01 5615.44 18 0.04 8710 1020 17.31 29,215,040 10/22/2007 7:02 5551.07 17 0.06 8710 1020 16.85 25,517,520 10/2212007 7:03 5503.47 17 0.06 8710 1020 16.85 25,288,424 10/22/2007 7:04 5497.27 17 0.05 8710 1020 16.89 25,530,740 10/22/2007 7:05 5475.96 17 0.05 8710 1020 16.91 25,561,892 10/22/2007 7:06 5419.1 16 0.04 8710 1020 16.91 25,299,620 10/22/2007 7:07 5404.43 16 0.04 8710 1020 16.94 25,386,414 10/22/2007 7:08 5391.57 16 0.04 8710 1020 16.97 25,545,056 10/22/2007 7:09 5381.25 16 0.05 8710 1020 16.98 25,552,102 10/2212007 7:10 5366.35 16 0.05 8710 1020 16.99 25,546,726 10/2212007 7:11 5337.01 16 0.06 8710 1020 16.99 25,394,940 10/22/2007 7:12 5358.32 16 0.05 8710 1020 17 25,604,886 10/22/2007 7:13 5392.6 16 0.05 8710 1020 17.01 25,795,176 10/22/2007 7:14 5387.29 16 0.07 8710 1020 16.98 25,579,506 10/22/2007 7:15 5385.25 16 0.04 8710 1020 16.96 25,431,016 10/22/2007 7:16 5360.46 16 0.03 8710 1020 16.96 25,328,386 10/22/2007 7:17 5362.35 16 0.04 8710 1020 17.05 25,957,234 10/22/2007 7:18 5340.83 16 0.05 8710 1020 17.23 27,138,502 10/22/2007 7:19 5334.28 16 0.05 8710 1020 17.39 28,291,654 10/22/2007 7:20 5303.96 16 0.03 8710 1020 17.55 29,526,394 10/22/2007 7:21 5251.37 16 0.04 8710 1020 17.71 30,652,692 10/22/2007 7:22 5220.53 16 0.04 8710 1020 17.87 32,045,902 10/22/2007 7:23 5189.42 16 0.04 8710 1020 18.02 33,557,372 10/2212007 7:24 5185.55 16 0.05 8710 1020 18.11 34,657,212 10/22/2007 7:25 5190.22 16 0.05 8710 1020 18.12 34,746,256 10/22/2007 7:26 5188.15 16 0.03 8710 1020 18.11 34,664,980

Average 4,774.875 8 0 8,710 1,020 17.55 26,605,473 IDSCFM 443,4251

### APPENDIX C

R026220 

### TEST DATA AND LABORATORY REPORTS

C-1

### Appendix C.1 Sample Location

R026220 

### C-23-15-07 SDG&E Palomar 2 RATA Renewal M1



### SAMPLE POINT LOCATION DATA EPAISCAQMD METHOD 1
Location: San Diego Gas and Electric Date: 3/15/2007 Unit: Palomar Energy Center By: BF, GB, OM
D.S. Disturbances 

### (ft.): 50.00 Diameter 204.00 D.S. Disturbances (Diam.): 2.94 Stack Area (ftA2): 226.98 U.S. Disturbances 

### (ft.): 5.00 Coupling Length (in.): 17 U.S. Disturbances (Diam): 0.29
PM10 Sample Points Renewal Sample Points %of Inches from Inches from %of Inches from Inches from Point Diameter Wall(1) Nozzle Diameter(2) Wall Nozzle

1 4.4 9.0 26.0 3.2 6.5 23.5 2 14.6 29.8 46.8 10.5 21.4 38.4 3 29.6 60.4 77.4 19.4 39.6 

## I 56.6 4 32.3 65.9 82.9 CEMS Long Measurement Line CEMS Short Measurement Line 1 16.7 34.1 51.1 16.7 34.1 51.1 2 50 102.0 119.0 50 102.0 119.0 3 83.3 169.9 186.9 83.3 169.9 186.9 

## vac, Center 50 102.0 119.0

1 of 1 11/19/2007 8:46AM

### Appendix C.2 NO x 

### and CO Data

R026220 C-310-22-07 SDG&E Palomar CT2 Cold Start 02 C02 NOx CO

Run #1 Start Time: 6:26 Stop Time:

__**O"-,:",,OO~_** Date:

__ 1.:..;0:;.;12,,-,2,,-10,,-,7,--_ CALIBRATIONS: INITIAL FINAL Gas Calibration Cone. Syst. Bias Cone. 

# I Syst. Bias Cone. (ppm) Drift Pre Bias Post Bias Drift (ppm) (%) (ppm) (%) (avg.) (actual) (%FS) Status Status Status 02 direct sPan 10.156 n1a N/A 9.94 N/A direct zero 0.232 

# *1 N/A 0.00 N/A system span 10.175 -0.1 N/A 10.18 9.94 -46.3 Pass Fail system zero 0.244 0.24 0.00 -1.1 OK CO2 direct span 5.144 n/a N/A 5.07 N/A - direct zero 0.036 

# • N/A 0.00 N/A system span 5.127 0.3 N/A 5.13 5.07 -23.3 Pass Fan system zero 0.034 0.03 0.00 -0.2 OK direct span 136.289 68.14 136.00 -54.5 Fail NO diredzero 0.442 0.22 0.00 -0.2 OK system span 133.330 2.1 #DIV/OI 133.33 136.00 -53.3 Pass #DIVlO! Fail system zero 0.299 0.30 0.00 -0.1 OK direct span 1495.296 I n1a NJA 1508.00 N/A
- CO direct zero 0.679 n1a N/A 0.00 N/A - system span 1487.637 0.5 NIA 1487.64 1508.00 -59.5 Pass Fail system zero 0.202 0.20 0.00 0.0 OK direct span 7.185 3.59 6.88 -2.9 Fail N02 direct zero 0.442 0.22 0.00 -0.2 OK svstemsoan 7.072 0.7 #DIVIOI 7.07 6.88 -2.8 Pass #DIV/O! Fail system zero 0.374 0.37 0.00 -0.1 OK direct span 136.289 #VALUEI 136.00 #VALUEi #VALUEI Nox(7E) direct zero 0.442 #VALUEI 0.00 #VALUEI #VALUEI svstemspan 133.330 2.1 #VALUEI 133.33 136.00 #VALUEI Pass #VALUEI #VALUEI system zero 0.30 0.30 0.00 #VALUEI #VALUEI
Method 19 Load,NMW Fuel Flow, Cds, 0 HHV, BTU/sef F Factor
02 Stack Flow, dsef/m 443.425 Stack Flow, dscflhr 26,605,473
RATA Results

RM Oiff % Oiff % 02 17.79 17.8 100.0% % CO2 2.01 2.0 100.0% ppm ppm NOx 37.67 37.7 100.0% NOx,ppmC 71.53 71.5 100.0% Nox, Ib/hr 119.65 119.6 100.0% Nox, Ib/MMBTU 0.000 0 #DIV/OI
CO 74.10 74.1 100.0% CO,ppmC 140.71 140.7 100.0% CO,lb/hr 143.26 143.3 100.0% 15 71.53 140.712 2.05 2.01 37.14 37.67 73.29 74.10 18.02 17.79

CONCENTRATION uncorrected ·corrected GAS
02av
COavg NOxavg C02av

Reference 02 EPA Method 7E Results

%

m %

ppm ppm ppm 2.05 2.01

1.33 1.32 73.29 74.10 35.81 36.30 37.14 37.62 18.02 17.79 CONCENTRATION uncorrected *corrected

NOx, ppmC 71.44 CO, P mC 140.71**k~3:::.5::""-;di--** -,.,,...--1NOx, ppmC Reference 02 15 CO, ppmC GAS Average

NOav 02av
COavg

N 6:26

N02avg C02av ··NOxavg

Stack N02 %

·Corrected for drift and system bias. ··NOx AVG COlT. = (NO AVG cOIT.+N02AVG carr.) SDCAPCD Method 100 Results Test Data Averaging Period, min. r--;;i2:::.-,...-E::':r--r--;v;---r-7V;:;--,-

......**=-,--r:;;~-r-"W..--,** Start

Run 1 111201200710-22-07 SDG&E Palomar CT2 Cold Start 02 C02 NOx CO

Minute Date Ending 02 CO2 Nox CO NO he 10/22/2007 6:27:00 AM 21.26 0.18 1:08 1.88 0.97 21.04 10/22/2007 6:28:00 AM 21.27 0.17 1.15 2.62 1.09 23.39 10/22/2007 6:29:00 AM 21.05 0.28 1.09 2.81 0.92 21.55 10/22/2007 6:30:00 AM 19.42 1.23 1.53 83.52 1.40 19.98 10/22/2007 6:31:00 AM 18.04 2.04 4.25 311.52 4.21 97.58 10/22/2007 6:32:00 AM 17.73 2.22 6.62 439.55 6.04 '380.43 10/22/2007 6:33:00 AM 17.65 2.25 8.64 296.01 8.00 626.02 10/22/2007 6:34:00 AM 17.49 2.34 11.92 203.69 10.56 330.48 10/22/2007 6:35:00 AM 17.82 2.17 19.29 155.14 13.48 186.99 10/22/2007 6:36:00 AM 17.92 2.11 20.16 236.96 19.32 96.11 10/22/2007 6:37:00 AM 18.03 2.09 26.39 145.14 21.94 295.01 10/22/2007 6:38:00 AM 18.03 2.06 28.41 134.19 23.89 112.45 10/22/2007 6:39:00 AM 18.04 2.04 29.71 129.13 25.79 97.31 10/22/2007 6:40:00 AM 18.06 2.03 30.90 125.42 27.23 89.51 10/2212007 6:41:00 AM 18.11 2.03 31.84 122.35 28.74 88.42 10/2212007 6:42:00 AM 18.16 2.03 32.52 120.39 29.72 86.93 10/22/2007 6:43:00 AM 18.17 2.03 33.38 117.75 30.92 86.04 10/22/2007 6:44:00 AM 18.15 2.03 34.36 116.79 32.16 82.05 10/22/2007 6:45:00 AM 18.16 2.02 34.97 112.95 33.20 80.47 10/22/2007 6:46:00 AM 18.11 2.01 35.68 112.50 33.99 77.30 10/22/2007 6:47:00 AM 18.02 1.98 35.60 111.80 34.14 68.99 10/22/2007 6:48:00 AM 18.04 1.98 35.81 106.56 34.67 68.75 10/22/2007 6:49:00 AM 18.09 1.99 35.99 107.48 34.98 71.77 10/22/2007 6:50:00 AM 18.10 2.00 36.09 106.88 35.18 69.62 10/22/2007 6:51:00 AM 18.11 1.99 36.41 104.46 35.57 69.25 10/2212007 6:52:00 AM 18.13 1.99 36.32 102.84 35.54 68.43 10/22/2007 6:53:00 AM 18.15 2.00 36.03 99.42 35.47 70.72 10/2212007 6:54:00 AM 18.16 2.00 35.92 94.28 35.34 71.22 10/22/2007 6:55:00 AM 18.13 1.99 35.36 84.71 34.71 67.09 10/22/2007 6:56:00 AM 18.12 1.99 35.27 73.19 34.74 65.82 10/2212007 6:57:00 AM 18.11 1.99 35.11 59.68 34.57 65.26 10/22/2007 6:58:00 AM 18.03 1.98 34.72 45.47 34.07 61.19 10/22/2007 6:59:00 AM 18.09 1.99 34.50 35.22 34.05 65.30 10/22/2007 7:00:00 AM 18.05 2.04 33.66 29.38 33.29 66.43 10/22/2007 7:01:00 AM 17.33 2.47 41.21 22.81 40.38 65.76 10/22/2007 7:02:00 AM 17.11 2.54 53.21 16.91 51.51 59.78 10/22/2007 7:03:00 AM 17.16 2.53 52.34 12.70 51.21 39.64 10/22/2007 7:04:00 AM 1719 2.51 50.19 12.00 49.28 35.42 10/22/2007 7:05:00 AM 17.18 2.50 48.60 11.86 47.75 32.96 10/22/2007 7:06:00 AM 17.23 2.49 48.47 12.16 47.60 34.32 10/22/2007 7:07:00 AM 17.26 2.47 48.11 10.47 47.16 33.99 10/2212007 7:08:00 AM 17.30 2.46 48.29 7.11 47.40 34.21 10/22/2007 7:09:00 AM 17.32 2.45 48.97 6.96 48.18 33.05 10/22/2007 7:10:00 AM 17.35 2.45 50.95 7.49 49.97 33.33 10/22/2007 7:11:00 AM 17.35 2.46 53.04 7.64 52.10 34.44 10/22/2007 7:12:00 AM 17.36 2.43 54.77 6.96 53.77 30.50 10/22/2007 7:13:00 AM 17.37 2.45 56.82 7.35 55.67 32.55 10/22/2007 7:14:00 AM 17.35 2.47 59.98 7.85 58.33 35.30 10/22/2007 7:15:00 AM 17.31 2.47 62.29 7.66 60.92 33.11 10/22/2007 7:16:00 AM 17.32 2.46 63.65 8.17 62.15 33.45 10/22/2007 7:17:00 AM 17.47 2.38 63.17 7.71 61.75 31.14 10/22/2007 7:18:00 AM 17.62 2.28 59.31 7.63 58.07 31.80 10/22/2007 7:19:00 AM 17.72 2.17 56.52 7.29 55.02 30.31 10/22/2007 7:20:00 AM 17.87 2.08 52.87 7.32 51.61 30.41 10/22/2007 7:21:00 AM 18.02 2.00 49.81 7.03 48.39 33.80 10/22/2007 7:22:00 AM 18.27 1.93 46.95 11.53 45.66 41.20 10/22/2007 7:23:00 AM 18.47 1.86 43.95 13.54 42.71 46.41 10/22/2007 7:24:00 AM 18.46 1.80 41.71 12.67 40.81 41.60 10/22/2007 7:25:00 AM 18.44 1.80 41.49 12.36 40.72 42.44 10/22/2007 7:26:00 AM 18.45 1.81 41.37 12.49 40.60 42.73 18.02 2.05 37.14 73.29 35.81 42.88

Run 1 11/20/2007Date Time 10/2212007 3:59:00 AM 10/22/2007 4:00:00 AM 10/22/2007 4:01 :00 AM 10/22/2007 4:02:00 AM 10/22/2007 4:03:00 AM 10/22/2007 4:04:00 AM 10/22/2007 4:05:00 AM 10/22/2007 4:06:00 AM 10/22/2007 4:07:00 AM 10/22/2007 4:08:00 AM 10/22/2007 4:09:00 AM 10/22/2007 4:10:00 AM 10/2212007 4: 11 :00 AM 10/22/2007 4:12:00 AM 10/2212007 4: 13:00 AM 10/22/2007 4:14:00 AM 10/22/2007 4:15:00 AM 10/22/2007 4:16:00 AM 10/2212007 4:17:00 AM 10/22/2007 4:18:00 AM 10/22/2007 4:19:00 AM 10/22/2007 4:20:00 AM 10/22/2007 4:21 :00 AM 10/22/2007 4:22:00 AM 10/22/2007 4:23:00 AM 10/22/2007 4:24:00 AM 10/2212007 4:25:00 AM 10/2212007 4:26:00 AM 10/22/2007 4:27:00 AM 10/22/2007 4:28:00 AM 10/2212007 4:29:00 AM 10/22/2007 4:30:00 AM 10122/2007 4:31:00 AM 10/2212007 4:32:00 AM 10/22/2007 4:33:00 AM 10/22/2007 4:34:00 AM 10/22/2007 4:35:00 AM 10/22/2007 4:36:00 AM 10/22/2007 4:37:00 AM 10/22/2007 4:38:00 AM 10/22/2007 4:39:00 AM 10/22/2007 4:40:00 AM 10/22/2007 4:41:00 AM 10/22/2007 4:42:00 AM 10/22/2007 4:43:00 AM 10/22/2007 4:44:00 AM 10/22/2007 4:45:00 AM 10/22/2007 4:46:00 AM 10/22/2007 4:47:00 AM 10/22/2007 4:48:00 AM 10/22/2007 4:49:00 AM 10/2212007 4:50:00 AM 10/22/2007 4:51 :00 AM 10/22/2007 4:52:00 AM 10/22/2007 4:53:00 AM 10/22/2007 4:54:00 AM 10-22-07 SDG&E Palomar 2



### 02 C02 NOx CO NO HyCx % % PPM PPM PPM % 20.989 0.114 0.397 0.866 0.306 7.717 20.998 0.113 0.398 0.831 0.292 7.68 20.981 0.104 0.338 0.81 0.287 6.765 20.999 0.105 0.354 0.833 0.261 6.727 21.069 0.12 0.411 0.656 0.36 8.863 21.038 0.11 0.345 0.606 0.31 7.626

9.159 0.06 0.369 0.738 0.262 7.135 0.413 0.034 0.355 0.596 0.283 7.493 0.327 0.037 0.342 0.503 0.326 7.948 0.259 0.018 0.321 0.799 0.248 6.457 0.225 0.022 0.314 0.707 0.258 6.521 0.218 0.023 0.337 0.673 0.284 7.095**_2:_2.~~ ."~"~Q,Q:?6**  0.442 0.679 0.364 8.147 direct zero 15.586 7.632 91M5 293.172 20.896 7.33 19.141 8.783 231.16 2176.66 231.27 7.076 19.239 8.795 233.306 2484.082 233.546 7.636 19.203 8.76 234.427 2450.214 233.819 7.876 19.129 8.606 69.594 2456.174 69.576 7.807 19.083 8.601 27.026 2468.749 106.272 6.97**19.1~._R.~** ..**.J32:~§._2.481.524_~~1.** ._§J316 direct hi 15.343 6.559 223.522 2383.34 191.384 8.35 10.267 5.157 136.81 1634.427 127.005 9.175

10.17 5.147 134.373 1483.62 133.534 7.692 10.156 5.144 136.289 1495.296 135.5748.087 direct mid 15.049----2-:323--'121:09--1"367:-109-----79.-814 8.641 20.743 0.109 9.636 755.82 2.994 8.264 20.771 0.106 7.216 430.219 0.642 8.069 20.784 0.102 7.185 245.585 0.572 7.838directno2 20.778 0.099 -7.161- 138.978 0.539 7.377 16.635 2.429 4.649 72.288 1.133 8.292 10.249 5.127 0.725 9.523 0.3 8.791 10.175 5.127 0.374 -4.772 0.299 8.414 sys 02**3.5~** 1.403 15.198 -4.706 58.945 7.926

0.317 0.0.4- 134.963 0.202 133.33 7.497 0.244 0.034 121.1 166.239 10.142 7.219432 sys no 0.197 0.031 8.081 1293.773 3.155 6.884 0.163 0.026 0.43 1482.91 0.285 6.55 

## 1T.132 0.044 

# Om 1487.637 0.37 8.808 sys co

0.234 0.046 1.19 

# 1462.727- 0.361 9.003 0.198 0.044 6.736 442.03 0.572 8.609 0.214 0.043 7.072 2.346 0.564 8.711 sys n02 1.089 0.058 0.709 0.783 10.143 20.203 0.131 2.97 0.891 1.318 11.218

20.77 0.135 0.653 0.861 0.455 11.377 20.851 0.14 0.797 1.003 0.48 12.444 20.883 0.138 0.79 0.863 0.481 12.375 20.912 0.139 0.766 0.81 0.561 12.601

20.94 0.144 0.866 1.042 0.538 13.331 20.965 0.143 0.825 1.044 0.538 13.22

20.98 0.155 0.901 1.268 0.584 66.946 20.967 0.15 0.783 1.105 0.575 14.02 20.926 0.145 0.712 0.924 0.578 12.789 hczero 20.893 0.141 0.734 0.964 0.478 12.395 20.983 0.166 1.035 1.827 0.721 17.466 21.002 0.174 1.066 1.68 0.832 1844.812

20.97 0.161 0.93 1.507 0.713 3208.86

1/510-22-07 SDG&E Palomar 2

10122/2007 4:55:00 AM 20.985 0.168 0.949 1.36 0.761 3225.384 10/22/2007 4:56:00 AM 20.97 0.167 0.908 1.365 0.699 2981.423 10/22/2007 4:57:00 AM 20.996 0.17 0.999 1.81 0.738 2986.666 tid hi 10/2212007 4:58:00 AM 21.008 0.167 0.848 1.593 0.794 2988.849 10/22/2007 4:59:00 AM 21.027 0.168 0.877 1.581 0.754 2989.143 10/22/2007 5:00:00 AM 21.047 0.169 0.883 1.673 0.751 1861.433 10/22/2007 5:01 :00 AM 21.057 0.171 0.874 1.515 0.711 1821.187 tid mid 10/2212007 5:02:00 AM 21.067 0.171 0.852 1.488 0.726 1817.466 10/2212007 5:03:00 AM 21.068 0.17 0.94 1.901 0.795 1553.236 10/22/2007 5:04:00 AM 21.2 0.214 1.348 3.449 1.201 949.131 10/22/2007 5:05:00 AM 21.161 0.204 1.248 3.044 1.12 941.461 he low 10/22/2007 5:06:00 AM 21.183 0.216 1.439 3.625 1.266 941.704 10/22/2007 5:07:00 AM 21.147 0.196 1.288 3.405 1.149 937.114 10/22/2007 5:08:00 AM 21.125 0.198 1.248 2.776 1.082 381.744 10/2212007 5:09:00 AM 21.111 0.175 1.046 2.288 0.867 33.504 10/22/2007 5:10:00 AM 21.128 0.181 1.165 2.611 1.002 31.13 10/22/2007 5: 11 :00 AM 21.143 0.19 1.119 2.205 0.964 29.258 10/22/2007 5:12:00 AM 21.136 0.169 0.945 2.168 0.884 24.188 10/22/2007 5:13:00 AM 21.149 0.18 1.129 2.553 0.961 25.347 10/22/2007 5:14:00 AM 21.164 0.165 1.081 2.481 0.98 24.279 10122/2007 5:15:00 AM 21.179 0.178 1.158 2.379 0.961 25.495 10/22/2007 5:16:00 AM 21.196 0.188 1.186 2.527 1.038 27.033 10/22/2007 5:17:00 AM 21.208 0.179 1.14 2.596 0.904 25.136 10/22/2007 5:18:00 AM 21.191 0.169 1.015 2.239 0.899 20.523 10/22/2007 5:19:00 AM 21.201 0.178 1.123 1.883 0.842 20.669 10/2212007 5:20:00 AM 21.249 0.188 1.247 2.891 1.083 23.9 10/22/2007 5:21 :00 AM 21.228 0.173 1.279 2.728 1.041 24.363 10/2212007 5:22:00 AM 21.243 0.177 1.393 16.147 1.311 23.795 10/22/2007 5:23:00 AM 21.228 0.171 1.178 3.452 0.92 20.758 10/2212007 5:24:00 AM 21.239 0.174 1.145 2.624 1.03 22.347 10/22/2007 5:25:00 AM 21.21 0.171 1.15 2.419 0.968 21.581 10/22/2007 5:26:00 AM 21.233 0.177 1.21 2.514 1.001 22.596 1012212007 5:27:00 AM 21.235 0.177 1.198 2.468 1 22.457 10/22/2007 5:28:00 AM 21.238 0.175 1.176 2.64 1.035 22.827 10/2212007 5:29:00 AM 21.225 0.166 1.081 2.523 0.93 21.532 10122/2007 5:30:00 AM 21.228 0.164 1.042 2.084 0.857 19.827 10/22/2007 5:31:00AM 21.274 0.167 1.063 2.449 0.964 20.912 10/2212007 5:32:00 AM 21.262 0.168 1.016 1.917 0.903 20.676 10/2212007 5:33:00 AM 21.295 0.179 1.139 2.343 1.019 22.72 10/22/2007 5:34:00 AM 21.274 0.177 1.149 2.328 0.953 21.924 10/22/2007 5:35:00 AM 21.247 0.164 1.02 2.089 0.93 19.678 10/22/2007 5:36:00 AM 21.242 0.175 1.147 2.625 1.044 23.409 10/22/2007 5:37:00 AM 21.216 0.165 1.09 2.412 0.895 20.821 10/22/2007 5:38:00 AM 21.242 0.178 1.155 2.463 0.949 22.489 10/22/2007 5:39:00 AM 21.142 0.155 0.94 1.909 0.796 18.272 10/22/2007 5:40:00 AM 21.119 0.153 0.923 1.663 0.727 17.317 10/22/2007 5:41 :00 AM 21.166 0.16 1.033 2.216 0.903 19.161 10/22/2007 5:42:00 AM 21.102 0.147 0.761 1.1 0.597 15.224 10/2212007 5:43:00 AM 21.124 0.151 0.858 1.739 0.741 16.765 10/22/2007 5:44:00 AM 19.339 0.082 0.969 1.938 0.796 20.871 10/2212007 5:45:00 AM 21.21 0.17 1.067 1.952 0.843 20.279 10/22/2007 5:46:00 AM 21.197 0.166 1.025 1.797 0.876 19.294 10/22/2007 5:47:00 AM 21.191 0.159 1.002 2.051 0.881 18.692 10/22/2007 5:48:00 AM 21.236 0.17 1.166 2.715 1.017 21.203 10/22/2007 5:49:00 AM 21.193 0.157 0.955 2.055 0.82 18.029 10/22/2007 5:50:00 AM 21.237 0.186 1.221 2.522 1.029 23.311 10/2212007 5:51 :00 AM 21.252 0.205 1.369 2.993 1.199 26.928 10/22/2007 5:52:00 AM 21.24 0.194 1.327 3.059 1.187 25.156

2/510-22-07 SDG&E Palomar 2

10/22/2007 5:53:00 AM 21.245 0.197 1.351 2.881 1.213 25.075 10/22/2007 5:54:00 AM 21.227 0.193 1.347 2.798 1.12 24.543 10/22/2007 5:55:00 AM 21.246 0.205 1.359 3.167 1.299 27.559 10/22/2007 5:56:00 AM 21.236 0.191 1.33 2.713 1.108 24.175 10/2212007 5:57:00 AM 21.253 0.191 1.23 2.602 1.04 23.151 10/22/2007 5:58:00 AM 21.31 0.204 1.447 3.157 1.236 26.556 10/2212007 5:59:00 AM 21.287 0.191 1.263 2.839 1.098 23.999 10/22/2007 6:00:00 AM 21.276 0.195 1.26 2.717 1.004 24.633 10/22/2007 6:01:00 AM 21.291 0.197 1.314 3.141 1.123 25.86 10122/2007 6:02:00 AM 21.291 0.203 1.28 2.642 1.103 25.495 10/22/2007 6:03:00 AM 21.285 0.197 1.33 3.281 1.173 25.232 10/22/2007 6:04:00 AM 21.279 0.213 1.452 3.003 1.237 27.716 10/22/2007 6:05:00 AM 21.225 0.199 1.3 2.792 1.137 25.569 10/22/2007 6:06:00 AM 21.132 0.162 0.99 1.95 0.878 18.639 10/2212007 6:07:00 AM 21.144 0.165 1.007 1.672 0.87 18.97 10/2212007 6:08:00 AM 21.223 0.183 1.281 2.963 1.099 23.312 1012212007 6:09:00 AM 21.188 0.16 0.92 1.809 0.839 18.3 10/22/2007 6:10:00 AM 21.192 0.165 1.029 1.808 0.822 18.912 10/22/2007 6: 11 :00 AM 21.245 0.173 1.102 2.424 0.959 20.926 10/2212007 6: 12:00 AM 21.298 0.192 1.281 2.689 1.055 24.082 10122/2007 6:13:00 AM 21.281 0.174 0.985 1.704 0.823 19.479 10/22/2007 6:14:00 AM 21.314 0.192 1.279 2.762 1.044 24.314 10/2212007 6: 15:00 AM 21.278 0.185 1.168 2.563 1.009 23.133 10/22/2007 6:16:00 AM 21.279 0.19 1.204 2.302 1.067 23.436 10/22/20076:17:00AM 21.252 0.186 1.187 2.506 1.087 23.376 10/2212007 6:18:00 AM 21.201 0.173 0.966 1.478 0.83 19.435 10/2212007 6:19:00AM 21.174 0.165 1.001 1.876 0.832 19.031 10/2212007 6:20:00 AM 21.204 0.177 1.128 2.469 1.015 21.834 10/22/2007 6:21 :00 AM 21.188 0.173 1.152 2.557 0.892 20.635 10122/2007 6:22:00 AM 21.193 0.172 1.066 2.372 0.964 20.947 10122/2007 6:23:00 AM 21.205 0.171 1.121 2.276 0.9 20.51 10/22/2007 6:24:00 AM 21.283 0.194 1.376 3.271 1.147 25.668 10/22/2007 6:25:00 AM 21.263 0.179 1.216 2.787 1.065 22.483 10/22/2007 6:26:00 AM 21.271 0.182 1.136 2.301 0.952 22.053 10/22/2007 6:27:00 AM 21.255 0.176 1.08 1.881 0.971 21.039 10/22/2007 6:28:00 AM 21.267 0.171 1.147 2.623 1.085 23.39 10122/2007 6:29:00 AM 21.049 0.283 1.09 2.806 0.919 21.553 10/22/2007 6:30:00 AM 19.419 1.228 1.529 83.523 1.395 19.979 10/2212007 6:31 :00 AM 18.035 2.043 4.246 311.521 4.211 97.584626 ignition 10/22/2007 6:32:00 AM 17.728 2.217 6.62 439.55 6.035 380.433 10/22/2007 6:33:00 AM 17.646 2.254 8.644 296.011 7.998 626.018 10/22/2007 6:34:00 AM 17.491 2.344 11.92 203.689 10.561 330.48 10/22/2007 6:35:00 AM 17.822 2.167 19.291 155.139 13.482 186.991 10/22/2007 6:36:00 AM 17.92 2.108 20.161 236.962 19.32 96.109 10/2212007 6:37:00 AM 18.025 2.086 26.391 145.14 21.941 295.011 10/22/2007 6:38:00 AM 18.028 2.06 28.408 134.19 23.888 112.449 10/2212007 6:39:00 AM 18.042 2.042 29.713 129.133 25.791 97.308 10/22/2007 6:40:00 AM 18.058 2.026 30.897 125.42 27.228 89.509 10/22/2007 6:41 :00 AM 18.114 2.033 31.836 122.345 28.742 88.423 10/22/2007 6:42:00 AM 18.159 2.034 32.517 120.387 29.718 86.932 10/2212007 6:43:00 AM 18.174 2.033 33.383 117.746 30.919 86.035 10/22/2007 6:44:00 AM 18.153 2.025 34.359 116.794 32.164 82.053 10/22/2007 6:45:00 AM 18.163 2.02 34.974 112.947 33.202 80.474 10/2212007 6:46:00 AM 18.112 2.009 35.678 112.501 33.992 77.296 10/22/2007 6:47:00 AM 18.017 1.976 35.604 111.795 34.138 68.989 10/2212007 6:48:00 AM 18.038 1.982 35.814 106.56 34.672 68.745 10/22/2007 6:49:00 AM 18.091 1.993 35.99 107.475 34.978 71.768 10/22/2007 6:50:00 AM 18.102 1.998 36.086 106.877 35.184 69.618

3/510-22-07 SDG&E Palomar 2

10/22/2007 6:51:00 AM 18.11 1.994 36.408 104.46 35.571 69.246 10/2212007 6:52:00 AM 18.125 1.992 36.324 102.844 35.542 68.432 10/22/2007 6:53:00 AM 18.151 1.998 36.026 99.417 35.471 70.721 10/22/2007 6:54:00 AM 18.164 2.001 35.917 94.282 35.338 71.217 10/22/2007 6:55:00 AM 18.126 1.988 35.359 84.705 34.714 67.088 10/22/2007 6:56:00 AM 18.12 1.987 35.274 73.186 34.737 65.823 10/2212007 6:57:00 AM 18.106 1.992 35.111 59.682 34.569 65.262 10/22/2007 6:58:00 AM 18.034 1.976 34.718 45.472 34.069 61.186 10/22/2007 6:59:00 AM 18.088 1.992 34.502 35.215 34.052 65.297 10/22/2007 7:00:00 AM 18.054 2.037 33.658 29.38 33.294 66.425 10/22/2007 7:01:00 AM 17.329 2.468 41.212 22.81 40.377 65.757 659 sync 10/2212007 7:02:00 AM 17.11 2.543 53.21 16.912 51.509 59.784 10/22/2007 7:03:00 AM 17.162 2.533 52.34 12.704 51.212 39.641 10/22/2007 7:04:00 AM 17.187 2.51 50.188 11.995 49.284 35.423 10/2212007 7:05:00 AM 17.179 2.495 48.596 11.864 47.749 32.96 10/22/2007 7:06:00 AM 17.23 2.49 48.468 12.156 47.604 34.323 10/2212007 7:07:00 AM 17.257 2.472 48.109 10.472 47.156 33.985 10/22/2007 7:08:00 AM 17.303 2.459 48.288 7.111 47.396 34.205 10/22/2007 7:09:00 AM 17.323 2.454 48.965 6.963 48.178 33.046 10/22/2007 7:10:00 AM 17.345 2.452 50.948 7.493 49.969 33.334 10/22/2007 7:11 :00 AM 17.35 2.456 53.036 7.639 52.1 34.44 10/22/2007 7:12:00 AM 17.361 2.431 54.768 6.955 53.771 30.503 10/22/2007 7:13:00 AM 17.374 2.446 56.817 7.346 55.673 32.549 10/22/2007 7:14:00 AM 17.35 2.474 59.978 7.853 58.333 35.302 10/22/2007 7:15:00AM 17.305 2.465 62.287 7.657 60.916 33.107 10/2212007 7:16:00 AM 17.322 2.461 63.653 8.17 62.151 33.454 10/22/2007 7:17:00 AM 17.465 2.382 63.168 7.708 61.745 31.137 10/2212007 7:18:00AM 17.623 2.281 59.309 7.632 58.073 31.799 10/22/2007 7:19:00 AM 17.723 2.172 56.523 7.293 55.02 30.314 10/22/2007 7:20:00 AM 17.866 2.077 52.866 7.319 51.61 30.414 10/2212007 7:21 :00 AM 18.017 1.997 49.814 7.031 48.389 33.797 10/2212007 7:22:00 AM 18.274 1.928 46.95 11.529 45.657 41.202 10/2212007 7:23:00 AM 18.469 1.858 43.95 13.539 42.709 46.407 10/2212007 7:24:00 AM 18.457 1.799 41.712 12.669 40.813 41.599 10/22/2007 7:25:00 AM 18.444 1.8 41.493 12.363 40.717 42.439 10/2212007 7:26:00 AM 18.45 1.806 41.366 12.489 40.604 42.728 10/2212007 7:27:00 AM 18.455 1.8 41.47 12.53 40.717 42.293 10/22/2007 7:28:00 AM 18.43 1.798 41.341 12.537 40.551 41.762 10/22/2007 7:29:00 AM 18.451 1.808 41.406 12.335 40.546 43.037 10/22/2007 7:30:00 AM 18.497 1.814 41.563 12.905 40.624 45.044 10/22/20077:31:00AM 18.487 1.818 41.154 12.428 40.36 45.369 10/22/2007 7:32:00 AM 18.465 1.799 41.254 12.583 40.497 42.635 10/22/2007 7:33:00 AM 18.471 1.81 41.163 12.273 40.227 44.167 10/22/2007 7:34:00 AM 18.469 1.799 41.067 12.392 40.32 42.742 10/22/2007 7:35:00 AM 18.48 1.805 40.995 12.571 40.178 830.366 10/22/2007 7:36:00 AM 18.525 1.821 41.227 13.059 40.267 1201.48 10/22/2007 7:37:00 AM 18.505 1.814 41.002 12.668 40.231 28.097 10/2212007 7:38:00 AM 18.489 1.811 40.747 12.46 39.861 20.737 he zero 10/22/2007 7:39:00 AM 18.479 1.803 40.826 12.412 39.903 19.062 10/22/2007 7:40:00 AM 18.479 1.807 39.995 11.967 39.03 18.668 10/22/2007 7:41:00AM 18.556 1.831 35.908 12.685 32.65 1366.032 10/22/2007 7:42:00 AM 18.535 1.825 26.509 12.294 24.383 1797.067 he mid 10/22/2007 7:43:00 AM 18.492 1.813 21.558 12.783 20.51 1801.951 10/22/2007 7:44:00 AM 18.531 1.838 19.986 13.54 19.486 1811.685 10/2212007 7:45:00 AM 18.432 1.817 19.084 12.329 18.531 1807.451 10/22/2007 7:46:00 AM 18.405 1.806 18.657 11.97 18.25 1806.912 10/2212007 7:47:00 AM 18.317 1.785 18.384 11.782 17.811 1805.01 10/22/2007 7:48:00 AM 18.326 1.788 18.226 12.065 17.82 1805.729

4/510-22-07 SDG&E Palomar 2

10/22/2007 7:49:00 AM 18.341 1.795 18.104 12.402 17.661 1807.947 10/22/2007 7:50:00 AM 18.317 1.796 17.845 12.084 17.421 414.527 10/22/2007 7:51:00 AM 18.316 1.787 17.68 12.192 17.334 329.83 10/22/2007 7:52:00 AM 18.31 1.789 17.465 11.993 17.157 326.116 10/22/2007 7:53:00 AM 18.332 1.789 17.506 12.171 17.086 324.092 10/2212007 7:54:00 AM 18.327 1.785 17.317 12.269 16.911 322.926 10/2212007 7:55:00 AM 18.346 1.789 17.456 12.338 16.935 323.696 10/22/2007 7:56:00 AM 18.341 1.786 17.284 11.861 16.859 322.653 10/22/2007 7:57:00 AM 18.332 1.782 17.193 11.809 16.779 318.604 stop to change hc Range 10/2212007 7:58:00 AM 18.379 1.788 17.203 12.032 16.931 319.316 10/22/2007 7:59:00 AM 18.362 1.786 16.946 12.103 16.626 922.873 10/22/2007 8:00:00 AM 18.401 1.804 17.017 12.023 16.726 3059.16 10/22/2007 8:01 :00 AM 10/22/2007 8:02:00 AM 10/2212007 8:03:00 AM 10/22/2007 8:04:00 AM 10/22/2007 8:05:00AM 18.356 1.79 16.942 11.76 16.562 2.35 10/22/2007 8:06:00 AM 18.335 1.775 16.533 11.699 16.272 1.529 10/22/2007 8:07:00 AM 18.331 1.777 16.523 11.396 16.25 1.56 tid zero 10/22/2007 8:08:00 AM 18.332 1.773 16.685 11.823 16.393 1.532 10/22/2007 8:09:00 AM 18.346 1.773 16.647 11.837 16.291 97.312 10/2212007 8:10:00 AM 18.346 1.776 16.565 11.166 16.382 300.798 tid 296 10/22/2007 8:11:00 AM 18.341 1.775 16.597 11.473 16.245 302.001 10/22/2007 8:12:00 AM 18.367 1.784 16.748 11.806 16.32 302.54 10/22/2007 8:13:00 AM 18.41 1.797 16.742 12.093 16.513 303.072 10/2212007 8:14:00 AM 18.396 1.794 16.852 12.35 16.535 100.1 10/2212007 8:15:00 AM 18.378 1.788 16.791 11.984 16.461 29.907 10/22/2007 8:16:00 AM 18.365 1.787 16.689 11.766 16.429 29.012 10/2212007 8:17:00 AM 18.357 1.788 16.777 12.165 16.439 28.445 10/22/2007 8:18:00 AM 18.325 1.777 16.592 11.937 16.342 28.16 10/2212007 8:19:00 AM 18.351 1.788 16.733 12.138 16.377 28.034 10/2212007 8:20:00 AM 18.347 1.789 16.761 12.308 16.343 28.11 10/22/2007 8:21:00AM 18.322 1.775 16.561 12.04 16.304 27.7 10/22/2007 8:22:00 AM 18.313 1.783 16.717 11.9 16.421 27.76 10/2212007 8:23:00 AM 18.275 1.78 16.482 11.452 16.293 27.464 10/22/2007 8:24:00 AM 18.198 1.76 16.33 11.203 16.092 26.803 10/2212007 8:25:00 AM 18.176 1.769 16.428 11.253 16.031 26.964 10/22/2007 8:26:00 AM 18.194 1.787 16.506 11.282 16.132 27.254 10/2212007 8:27:00 AM 16.847 1.582 15.166 10.444 14.934 25.061 10/2212007 8:28:00 AM 18.101 1.758 16.173 11.313 15.967 26.711 10/22/2007 8:29:00 AM 18.116 1.769 16.345 11.386 16.072 26.834 10/22/2007 8:30:00 AM 18.089 1.765 16.217 -6.721 15.933 25.383 10/22/2007 8:31:00 AM 18.099 1.772 16.409 11.162 16.051 1.277 10/22/2007 8:32:00 AM 18.121 1.779 16.493 11.429 16.14 1.414 10/22/2007 8:33:00 AM 18.1 1.772 16.334 11.028 16.073 1.343 10/22/2007 8:34:00 AM 18.092 1.767 16.365 11.074 16.062 1.223 10/22/2007 8:35:00 AM 18.126 1.777 16.345 11.355 16.117 1.399 10/22/2007 8:36:00 AM 18.137 1.781 16.506 11.454 16.091 1.404 10/22/2007 8:37:00 AM 18.128 1.774 16.378 11.366 16.06 1.319 10/22/2007 8:38:00 AM 18.181 1.792 16.58 11.692 16.19 1.571 10/22/2007 8:39:00 AM 18.19 1.793 16.532 11.462 16.207 1.574

5/5

### Appendix C.3 PM Data

R026220 C-4Client/Location

.. '" SDG&E/Palomar UniL CT2 Sample Location Stack Test No..................................... i-PM Date...................... 10/22/07 Start/Stop Time.... 0626/0726 Bar Press (in Hg)...................... 29.71 Test Method............................. 5 Sample Time (Min) '" 60 Sample Train............................ 12-WCS Meter Cal FactoL...................... 0.995 Pitot Factor 0.84 Nozzle Diam (in)............... 0.196 Stack Area (sq tt). 226.98 Stack 02 (%)............................ 17.79 Stack C02 (%). 2.01 Stack Press (iwg)............. -0.93 Stack Temp (F)......................... 103.4 Vel Head (iwg}.......................... 0.2731 Meter Temp (F)......................... 71.9 Meter Press (iwg)..................... 0.38 Meter Vol (acf).......................... 24.378 Liquid Vol (ml).. 13 Std Sample Vol (SCF).............. 23.91 Moisture Fraction...................... 0.025 Stack Gas Mol Wt.................... 28.76 Stack Gas Velocity (ftIsec)....

... 30.46 IsokineticRatio (%)................... 114.97 Stack Flow Rate (wacfm}

. Stack Flow Rate (dscfm).......... 443,425 Stack Flow Rate (mmdscf/h)..... 26.61 Probe Wash, mg 1.0 Heated Filter, mg 0.0 Impinger H 2 0, mg 1.0 Impinger Organic, mg 1.4 Total Weight Gain, mg 3.4 

# Delta

Particulate Test Summary

Reference Temp (F)...... 68 FueL........................ Nat. Gas Data By....................... Finken Average Limits

17.79 2.01 -0.93 103.4 0.2731

71.9 0.38 24.4 13.0 23.91 0.025 28.76 30.46 114.97 443,425

26.61

Particulate Emissions Grain Loading, gr/dscf...

. Grain Loading @ 12% C02

. Mass Emissions, Ib/hr

. Emission Rate, Ib/MMBtu

10-22-07 Cold Start PM Data 0.0022 0.0131

8.34 0.0184

[Date]IO:3\ AM 0.0022 0.0131

8.34 11.5 0.0184

summary

# Dellal1 l ,
__**Aira"gl'-IVSU,.i'~'.I"'<Irp<JIO!~~**

Imp. # Contents Post-Test

- Pre-Test = Difference

Total:

_



# z.

=



# --- ---

=



# --- --- f2J H \() 

### (2$).?3

- 

# b1. Y 

# .&
= ' 

### 01.. 

## \-h,o 0'1'9,?>

- 

## bS6', S =

__

### f'1'Y1p+~ 573,,5'

- 

# 578-9=

__

$b 

## !X/!.') .Pltt,] = _ 

# LR-G-· 50 •

__ 

# .l WET CHEMICAL SAMPLING SYSTEM DATA AND WORKSHEET 

### O' ," CLIENT: 

# 5" 

# P 

# G-tE /a 

# 1'2**~11** q 

# r-- AMBIENT T&MPERATURE:

__

## -.L?'-=..5-..,...

_ LOCATION: V ' BAROMETRIC PRESSURE: 

### bS 1'/ 

# iL DATE: 

### ! 8' '2--"1-- -0 

## '7 ASSUMED MOISTURE: 

### 2" RUN NO: 

### I 

## J?!n v PITOT TUBE COEFF, Cp: ,**~'f** 

### , OPERATOR:**~<?=3,** PROBE ID NO/MATERIAL: 

### G ,,"?- G·(it. 5

..... <"' METER BOX NO:**('~ ~cs**  

# / PROBE LENGTH:' 

### F--f==

# ~g~~**$~:@:** CJ

# ~z1J**~g~~t~ ~:~~~E~~ERIAa'-.~)**  ..... r:;.::>.=ti'-=,=-. ------- STACK AREA, FT2 : , , I FILTER NOITYPE: 

### 5'Y5- / Z/ (f> 

## Z" TRAVERSE POINTS, MIN/POINT: ",' 

# "4! e PRE-TESTLEAK RATE" '" <oICFM@

### 7~-ln. Hg. .6.H=/L 

### I, '5 X .6.P: 

## ('! POST-TEST LEAK RATE::

### L&.-~ in. Hg, Probe Condition, pre/post test: , ' c;'eif:'c; PITOT LEAK CHECK

- PRE: 

# V PST: ""T Silica Gel Expended, YIN: 

### N, 

## I CHAIN OF CUSTODY: SAMPLE

### CUS~, 'N

### d2~ Filter Condition after Test: 00,/(7 SAMPLER

_ Check Weightz:"? c/, 

## >,/7'7S- C SAMPLE

### C:-:-U':"'::S::::T~O~D~IALN-:--,-A-',-""'"::r' Meter .6.P .6.H Stack Probe Filter Imp, Out Meter Temp, OF Vacuum 02 Pstatic Point Time Volume, 

# fe in. H2O in. H2O Temp, OF Temp., OF Temp, OF -'temp, OF In Out in. Hg. % in, H2O**,(~ '1/~**  

### 951-/A41 ' 0 

### \.f- 

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# Dclta~·

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## J,-ID"7 10 J

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### D,004Y

_ O·OO/::L 

### Q·ODL2y Water Blank mgfml MeCI, Blank mg/ml Acetone Blank mg/ml 

# stack PARTICULATE

CARB METHOD 5 with MeCI 2 

## Extraction 

# Po larDOf

(Td...· Project # Client/Location Sample Location Test#.

Item Number Final Tare Gain Blank Aliquot Net. Gain

. Weight Weight Weight

. Correction Correction (mg/Sample) (g) (g) (mg) (mg) (mUml) 1. Glass Fiber Filter

### B~-It.JoG 

# o. 3f:,3 

# I D.**3b~1** 0·0 

# - 0.0
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### 7070 

## \ 

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### 707/ 

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b .OrganiCExtraction 

## 7072. 

## )o.f519b 

# 3oJ28b 0,3 

# 31L 

# I,y (')c.) ml MeCI,tJ 

# a 1.0 51< 1-5'",,1 

# e 'L.. 

# Ac.4- one 

## C>j(:tnk 7ob? 

# J1.7rfl 29.715Y D.S 

# - ).10

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## 23

D

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# I3ICo/) k. 7ob't 

# p.z.g135 

# 19.9727 1-. 

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# --- 250 1h /


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# I**M~C'2..** 

# 61C\.Vlk**o'~** C'. 

### 00 { 

## z.,

mg Total Particulate 

# =

__**:....t...::...~** __

## -=-
Method- of Sample Prep/Notes

Particulate, Carb Method 5 with MeCI2 Extraction

### Appendix C.4 

# vac Data

R026220 C-5Client: SDG&E Location: Palomar Unit: 2 EPA METHOD 25A1MODIFIED 18 TEST RESULTS
Date: By: 

### 10/22/07 Finken lotal lotal lotal Non- 10tai NonTotal Hydrocarbons, Hydrocarbons, methane/ethane methane/ethane Total Total Hydrocarbons, ppm as ppm as Hydrocarbons, Hydrocarbons, Average Hydrocarbons, Hydrocarbons, ppm as Methane from Methane from ppm as Ib/MMBTU as Stack Flow, Ib/hr as Ib/event as Run Methane Continuous FlO Tedlar Bag Methane 

### 02 Methane dscfm Methane Methane 1-VOC 

### 81.01 81.01 51.26 29.75 17.76 0.072 443,425 32.87 32.87EPA METHOD 25A TEST DATA
Client: Location: Unit: Run No. SDG&E Palomar
1-VOC Date: 10/22/07 By: Finken 2 Test Duration, hrs. 1.00
Time Total Hydrocarbons, Point Start Stoo ppm as Methane

1 6:27 6:28 21 6:28 6:29 23 6:29 6:30 22 6:30 6:31 20 6:31 6:32 98 6:32 6:33 380 6:33 6:34 626 6:34 6:35 330 6:35 6:36 187 6:36 6:37 96 6:37 6:38 295 6:38 6:39 112 6:39 6:40 97 6:40 6:41 90 6:41 6:42 88 6:42 6:43 87 6:43 6:44 86 6:44 6:45 82 6:45 6:46 80 6:46 6:47 77 6:47 6:48 69 6:48 6:49 69 6:49 6:50 72 6:50 6:51 70 6:51 6:52 69 6:52 6:53 68 6:53 6:54 71 6:54 6:55 71 6:55 6:56 67 6:56 6:57 66 6:57 6:58 65 6:58 6:59 61 6:59 7:00 65 7:00 7:01 66 7:01 7:02 66 7:02 7:03 60 7:03 7:04 40 7:04 7:05 35 7:05 7:06 33 7:06 7:07 34 7:07 7:08 34 7:08 7:09 34 7:09 7:10 33 7:10 7:11 33 7:11 7:12 34 7:12 7:13 31 7:13 7:14 33 7:14 7:15 35 7:15 7:16 33 7:16 7:17 33 7:17 7:18 31 7:18 7:19 32 7:19 7:20 30 7:20 7:21 30 7:21 7:22 34 7:22 7:23 41 7:23 7:24 46 7:24 7:25 42 7:25 7:26 42 7:26 7:27 43 Average 81.0

POST TEST DRIFT DETERMINATION Zero Reads 20.7

- Drift, ppm -7.9 Drift, % Full Scale -0.2% Pass Mid Gas Reads. 1797.1

- Drift, ppm 24.1 Drift, % Full Scale 0.7% Pass

# DB/tad

TEDLAR BAG SAMPLING DATA SHEET

CLIENT: 

# 5/'L 4G
LOCATION:

# fAl-o~

Test 

### # 

## I 

# -va

Date 

# 10/ZZ-107 O,,;}b

- Time (start/stop)

## 07J.~ Bag 

### # 

# t-l/OCComments: l!). 

### 0<) S**(r~** PERFORMED BY: 

# B F (f'- 

### (k,
UNIT: 

# t!- I 

# z..

Tedlar Bag Sampling Data Sheet

### November 1, 2007
Bob Finken Delta Air Quality 1845 North Case Street Orange, CA 92865-4234

re: SDG&E
Dear Bob: environmental consultants laboratory services



### LTRl266n/07

Please find enclosed the laboratory analysis report for two Tedlar bag samples received October 24,2007. The samples were analyzed for methane, ethene and ethane by FID/GC, as requested.
Also enclosed is a data package. Sincerely, AtmAA, Inc.

Michael L. 

### Porter Laboratory Director
Enc!. MLP/krm

### LABORATORY ANALYSIS REPORT 

## LS: (Jj 

# IAfrmlAlA Inc. 

## D 

# ''::::!7 23917 Craftsman Rd., Calabasas, CA 91302· (818) 223-3277· FAX (818) 223-8250 environmental consultants laboratory services
Speciated Hydrocarbons Analysis in Tedlar Bag Samples Report Date: November 

### 1, 2007 Client Delta Air Quality

Site: SDG&E Location: Palomar Unit 

### 2 Sample Location: Stack

Date Received: October 

### 24,2007 Date Analyzed: October 

### 24, 2007

ANALYSIS DESCRIPTION Hydrocarbon Speciation analysis was petformed by flame ionization detection/gas chromatography (FID/GC), modified EPA-t8.



### 50.46 AtmAA Lab No.: Sample 10:

Methane 

### 01667-1 01667-2 (repeat) 

### 100% 100% 75%

L....-.

__

### -.1--:T_-1:....:.,-,s--,1-,1-1**_T-,-~1** 

### ,-,s_-2...,....1 T-1, 

### S-1 

# IL- L...-

_ (Concentration 

### in ppmv, component) 

### 23.59 23.27
non-methane hydrocarbons analysis by carbon number grouping Ethene Ethane C3 

### C4 C5 C6 >C6
TNMNE TNMHC nr - not requested 

### 1.15 0.80

nr 

### nr nr nr nr (Concentration in ppmv, as component) 

### 0.23 0.23 0.26 0.25

nr nr 

### nr nr nr nr nr 

### nr nr nr



### TNMNE

- total non-methane, non-ethane, hydrocat1:Jons as**pp~.** 

### .' TNMHC

- total non-methane hydrocarbons as ppmv methane.

.

Michael 

### L. orter Laboratory Director

page 1 of 1

### LOCATION: Palomar Unit 2 

### CHAIN OF CUSTODY CLIENT: SDG&E TEST DATE(S):_..;.1.;;.;.0/..;.22..;./0.:...;7

_ SAMPLER(S): _B_F

_ SAMPLE LOCATION: TEST METHOD(S):**~tack** I=PA 1 

### Modified 11/05/07 Finken

OUTSIDE LAB**REQUIRED~Yes** 

### COMPLIANCE T..;:;;E;;.;;.S...:.T...:..?

__**..;..Ye..:..;s~** 

### _

';DATE TIME TEST 

### # SAMPLE DESCRIPTION CONTAINERS SAMPLER COMMENTS 

## N 103/13/07 

### 1-VOC-1 5 liter Tedlar baa 1 BF /OZql'-j 

### '7

- 

## I

. {03/13/07 2-VOC-1 5 liter Tedlar bag 1 BF



### - 2- 

## \ ./ 2

A 

### RELEASED BY DATEITIME RECEIVED BY DATEITIME**I~a.(.l~** 

### /(y' ;;.. / t\ 

### '7 //:00 ,/ 

### rt7/UI97 (Z/H)**~_ ~-L**  

# , ..r# t/ 

# "

.... "

... 

### ANALYSIS REQUIRED:**'=M~e.,..-:th...:.a..,..ne~an_d;...E..,..t-=h,...an-e;...O..:..;;...nl4.y** 

### _ Full Lab Report Required

# Della~ ,0.;,**Q.l~ljly** s..**,v;~** ... Inc

.. 'Il"

.... '

.. dlow HP NV 01-06 dir 10_24_07



### o 7.55 15.10 100.00

250000 100000 120000

200000 80000

150000 'e6 01 6 1**~.** ·--·-1-·-

----- "'j 7.50, 19783.5, .15.00l:

.. 42390.5j. 100.00! 283999.51 60000 response

100000 40000

C4 by HP tid/gc 

# --=-----

y = 0.0004556x R' = 0.9999971 20000

50000 C2 by HP tid/gc 

# -----------_·_--------1

I I I



### ov

o 80

40
20 60 100 120

0""-

o 40

20 60 80 120 , .--------
100 i.**~._.**

250000 200000

250000 150000

200000 response

100000 C1 by HP fid/gc

y = 0.0004365x R' = 0.9999982 y = 0.001722x R 2 = 0.999987

150000 C3 by HP tid/gc

50000 10000 20000 30000 40000 50000 60000 70000

100000 120
100

> 80 E Q. 0- 60 u c 0 40 u 20
0 0

120

100

80 > E 0- Q. 60 U c 0 <.> 40

20

0 0

50000 response C6 by HP tid/gc 120 .,...
_ _- -

_ , 100 80 60 40 20 o**....,~-+---+----+----+----+-----I**

o Imw I

. 'e1 

### :ei' I !c3 

### le4 :e5 Ic6 I

.. · le7 :e8 

### :c9 'e10 :e11 [c12 e13 1 2 iamt iavg. f 

# c

1 , ic2**i~3---** ,:e4 ;e5 

### ii51**i.j.5~L~J;,~5t~ 43~-8,5r':** **.·.=~Qr·:·==--~Q;** 

# ='=-.:'0[::9:[:.::::-:

.. 01..::'

. . .. oj... 9 

## i... 

# oT- oj·' 

# ;:;;1-**;:~~i·{~~1·17t:3~~I~~;~:~1** .....

# 11~~~1-7t!3~~I·· ..

# 1k:~gi1~e;o~i·**1H~j-32\~2}~i 1~:~gi.** **~~~~;;** 7.47 7.531 7.56i 162261 58036.5: 1ClO:OO!1'13474i 1 00.00 

### i 229699i 100.001-219546.5i 100.00'250820'

--... I -------.-. ··--····r---·-·······

__ ·········_·;-
... - '. '-'r-

.... ----.-._---- .. ---j-...

- - --_···-t----
- - --.- 'I ._- 7.46, 7.54, 7.50, 177891 ' 7.48

. 7.6:11'7.55 

### i "19783:51

, . , .. -

_ _ : --- - --1----

.. J 

### .i.[ 2!amt iavg i 14.8·K4[ '15.1;·' 892'8:51 15.4

. 15.8i

. 15sr-T794:fi51**15:(~·~·_· ·1i5~2i** **···j5·n~··~~508** 

### i**14.8.15.2~ .15.9i.32742:~!**  .14.9_...._15.1:

..**1~.Oi.~681~L** 15.0' .15.2] 15.11_**~?:390.5J** I

... . 

### .1 1 2iamt iavg I

. 9'7:91....**.1b2~1I =1bb!:~~?[~6:§T**  .980102,9;

.. 1.00(1 134 

### 7. 4 L 98.2: 101.8' 100! 2290991 9'7.9:--162.1:- 100! 219546.51 9'7:6 1 ···102.4! "i60!

. 25682Cl+ response I [ response



### .. . .. ,_ .,
_ .. .1

- . """""""'1 96.8 103.21 100 1??3999.!ii

. I 9089; '18226: 3484?' 3310Cl 371613 1 427136

··59246! 115754[ 233221 ! 224206 1 256737:

. 292992:

.. avg of 3

m2 8768 176M· 34169 32385 36464 42015
·h2 56827 111194, 224977: 214887' 244903 275007: 10/19/2007' 1 0/24/2007 ! '11 112 : I 43141 4363 1 8777; 8959 

## i' 17009 171181 16166 162861 17700 17878 19597 19970: •beg. Std. 10/19/07 

# 'end stc!. 10/24/2007

response C5 by HP fid/gc 120 or·-··_· --·-_ --·· .. • - -- - -- .. ----.

### 1~~**Y2=_0.0003990X~** 60 R

- 0.9999595 40 20 OV= I

o 50000 100000 160000 200000 250000 300000 10/24/2007· D8624

rf 0.001i'4Cl2[C1 0.0008796'c2 Cl.ClClCl4425: 03 0.0004622. c4 0.0004216c5 0.0003816c6
rf Cl.ClCli691ic1 Cl.ClClCl8694c2 0.00Cl437S'c3 0.00Cl458104 0.0004074:05 0.0003562' c6
rf O.OCl17231C1 0.0008813c2 6.0604365: c3 0.0064555,e4 0.0003987·05 Cl.60Cl352106

Page 199.5 101.2 99.0 98.9 95.1 93.2

### I~~d_std



### .+

...**_.~_.** .. -j

... 102.01 103.7 too 102.0: 102.9i 1 01.8**~------1** 

## oo.?1 '-1'02.1 

### i

. 100.5:

102.41 98.9' 103}i 99.8! icalc label '%R !Iow std 

### "'hi std 1----··-···

-- .---**.-~---_** ... ___ . .. _..l

.. --15:117.55,

15.6i 7.80 15.1: 7.55 15:0'1'- 7.50

..... ·-1----- -. '''-

15.0:. 7.50; 15.1: 7.551

._-

"r ·····-----i--

. -1·--- : 1'5.7:-- 7.51: 100.0, 16.117.89;100.0:

# .·':~.;:fi-<:~-j:1~'~·-:-~J~~:g:.·

# '''.**14'~1_7:13:** __ 1000, 15.1: ,7.041 100.0: ! 

## ,-,

, 

### -1- 102.0' 102.0' 101.8i 102.1 ; 102.-41'**10~.2!** low HP NV c1-c6 dir 10 24 07

1 ••••

__ - •.•••

_ ••.••.• 'conc .measured :measured imeasured icalc label !calc label 'hi std -:,.ned**~td:IOw** std -[histd'" :medstd-

'-1"

I 43631 8959! "17118:

16286: 17878[' 19970: ilow std ,_9089i 18226' 34847] 33100 37166: 42766! [---
, med std

, 

# t

..... • •••

# ~...-**~-t~l-~~ip:~i~~~~~tt~~=i=d= .~..**  

# :

1 area I area : area : area : area : ppm ppm 1 ppm 1 ppm , ppm I ppm : ppm ppm ;-
. _. .- .. _- - .-'-.,

-**_._~** ..•.. _. - ,-_ ..
_ _.... - -- .-**:~** - _-- .. ··---·1---····_-····---,·----- -····---···1--······------···-·-··--·--·.; --_ _._. ··----········---·----'i·····

------- - - , , .. -------------\ _-- - i _. . _. :-_ " ; 103 Ic4 )c5'c6

. 

## f:>C?-- iCL__.Jc:=c ., .. " 

### ic:?

.. :c3 ._'I'(;4

.. lc5 ,c6 ,>c6 910: L**_~ ~_.**  __ . 

## ,._L**!?9:~6j!.1.?j...** 0.8Qi_O·O_9__9,g0,

__ 

## .O.ooQr__ 0.000 0.000 2931 !, i 

### i 23.59i 0.23: 0.261 0.00' O.OO! 0.000. 0.000 0.000 284; .: .----,. .. .1 23.27i--'0.23r-:0.25T- -6.00:---0.00:6.000' 0.000' 0.000



# . ; · ..•.·.·.•.••**-:~--I~-~f==J~EJ~l=·g~~~j** 

# ...**~;~i ~5:** **~~!**

.. ". :
.. 0:99!- _.9,09L 'O:00j O.OOL_. 0.00: 0.000; 0.000: 0.000

_____**iL_9.9Q~.----Q.Q9L--.-().QOL** 9·991." 0.00: O.OOOi

_ 0.000 0.000 I 

### i O.OOr 0.00! 0.00: 0.00: 0.00' 0.000: 0.000 0.000 ------;
.. .. - ---·0.00:--

..0.00[

-- 0:00; 0.66.·0.00! O.OOOi 0.000 0.000**~r_-.:-ig:oo-------o,ogI~---** -0.0o__ 0.661_0.00' 0.660]. 0.000 0.000 :
.. 0.00: O.OOi

. 0.00: 0.00, 0.00 

## o.oooi 0.000 0.000 .":

- - - 0:001 

### -b.bor -0.00: 0.00[-' 000:" 0.000' 0.000: 0.000

_ .. -!-- -_ ... - ----t-.,. ---"-,'.

--- ... - .. ,----.. '--'-'"-'

.. ;. --'---'-"J-----'---' , .. ,1 '



## Ii '**0·9Q~_** 0·0.01 O.OO[ 0.001_ 0,.00. 0.000. 0.000: 0.000 ----.1- '" 9· 00 

### !. O.OQI_

..
__9._00 :

__ Q,09j_ 0.00,. 0.000.0.000; 0.000 : O.OOi 

### O,OOi. ,.
__

## C).goL**()~OOL** O.OO! 0.000' 0.000, 0.000 0.00 

## o.ogL

__ .O.OO! 0.00' 0.00' 0.000: 0.000' 0.000 59246 115754: 233221 : 224206: 256737 [ 292992 ( 'area 16 30 44: 58! 72 86: 100 

### i 1141 128:

### 14~i 156' 170: 1841- 

### i area ic2 1307 258 266' 10/24/2007; std check !histd

,area jC=c 29303, 13697 13515' mw 0.0017220 0.0008810 0.0004365 0.0004556: 0,0003990 0,0003523' 0.0003030, 0.0002658, 0.0002367' 0.0002134' 0.0001942, 0.0001782' 0.0001647' rf

'area c1 samples i

lab #
02977-1 02977-2 c1 c2 c3 c4 c5 c6 c7 c8 c9 c10 c11 c12 c13

rf min area

. limit, ppm min area c1 0.001722 106" 6.172: 50! 0.0861 '''-- 1<0.09

.

# ~;**ooo~~~~~~: ~~~.~.~~~i_** **.~~,-- -~:g~iT** **i:~:~';:** 

# __ :"

. c4 0.0004556 100 0.046' 50:'6:0231 ' . - ;<0:03 .--- c5 0.000399 100:

- 0.04()150r'O.020L_: ·:-:

__**:<:9·0?._r-------~---·----** c6 0.0003523 100 0.035' 501 0.018: 1<0.02 I ! , ; ]-_... ···········r-- -- .. _- ..**~.** .
__ ._ _--\-------- 

### I>Eo 0.000303 100 0.030: 50, 0.015! '<0.02,.

Page 1

# sData File C:\HPCHEM\2\DATA\H102407\SIG10001.D**=======~====================~====================~===~ ===============**  Injection Date: 10/24/20072:58:19 PM Sample Name Acq. Operator : mp Seq. Line: 1 Vial: 1



### lnj: 1 

### lnj Volume: Manually Method : C:\HPCHE!V1\2\METHODS\624HC-20.M Last changed : 6/12/2007 3:42:03 PM 

### by mp HC's 

### by fidfgc, DB624, 12 minuite run start at -20C for samples ADCl A, ADC1 CHANNEL A (H102407\SIG1000l.D) uV

29000

28000

27000

26000

25000

24000

23000 0 2 4 6 8 min**=============~==============================~=======================~** Area Percent Report**~=============================================~======= ===============**  Sorted By MUltiplier Dilution Signal 1.0000 1.0000
No peaks found**~==========~===~=======================================~~==========~=** """ End of Report 

### ***

FID/ELCD 10/24/20073:12:40 PM mp PagE10f 1

### 'Jata File C:\HPCHEM\2\OATA\H102407\SIG10002.D 

# rj

. ,,/}

. . ,

# ======================================================**=====::=~1:~=17--1** Injection Date: 10/24/20073:02:26 

### PM Seq. Line: 2 Sample Name Vial: 2 .Acq Operator

. mp lnj: 1 Inj Volume: Manually Method : C:\HPCHEM\2\METHOOS\624HC-20.M Last 

### changed : 6/12/20073:42:03 

### PM 

### by mp HC's 

### by fid/gc, 08624, 12 minuite run start at -20C for samples ADC1 A. AOC1 CHANNEL A (H102407\SIG10002D)

. uV
29000

28000

min 

# \

10 

# \

6 4 2 24000

23000 

### o 27000

25000 26000

\ /'-//

# =========================================================~~/..---"'======= Area Percent Report**==~============================================================~=====** 

### Sorted By 

### Multiplier Dilution Signal 1.0000 1.0000
Signal 1: ADC1 A, ADC1 CHANNEL A
Peak Remme Type Width Area Height Area



### # [min] [min] [uV*s] [uV] 

### % 

## ----I-------I----I-------I----------! 

## ---------1--------1 1 1.042 MM 0.01882.93034e4 2.59701e4 92.96385 

### I L 

### 2 1.127 MF 0.02471307.48010 883.88593 4.14792**{..~** 

### 3 1.178FM 0.0272 910.40625 557.04327 2.88822 '}..
Totals: 3.15213e4 2.74110e4

Results obtained 

### with enhanced integrator!**~==============================================~=======~========~====** 

### ""** End of Report ***



### FJDJELCO 10/24/2007 

### 313:56 PM mp

### 3ta File C:\HPCHEM\2\OATA\H102407\SIG10004.D



### =:==================================================================== Seq. Line: 4 Via!: 4

lnj: 1 

### Inj Volume: Manually Method : C:\HPCHEM\2\METHOOS\624HC-20.M Last changed

. 6/12/2007 3:42:03 PM by mp 

### He's by 

### fid/gc, 08624, 12 minuite run 

### start at-20C for samples

.... 'ADC1 A, ADC1 CHANNEL A (H102407\siG10004D)

.. ... 

### !njectlon Date

. 10/24/2007 311: 14 PM Sample Name Acq Operator

. mp

uV

29000

26000

27000

26000

25000

24000

23000 0 2 4 6 8 10 !

. .JIlin**========================~======~=======~============== ===============**  

### Area Percent Report**===================================~===================~=============** 

### Sorted 8y MUltiplier Dilution Signal 1.0000 1.0000
Signal 1: ADC1 A, 

### AOC1 CHANNEL A
Peak RetTime Type Width Area Height Area



### # {min] [min] [uV*s] [uV] % 

## ----1-------1----1-------1----------1----------1-------I

1 

### 1.048 MM 

### 0.01891.36970e4 1.21007e4 96.13168 

### 2 1.132 MF 00239 257.87427 179.55798 1.80988 

### 3 1.184 FM 0.0269 293.28891 181.72261 2.05844
Totals: 1.42481 e4 1.24620e4
Results obtained with 

### enhanced integrator!**=====================================~===~=====~=================~==~** *** 

### End 

### of Report ***

FID/ELCD 10/24/2007 315:46 PM mp PagE10f 

### iata File C:\HPCHEM\2\DA TA \H 1 02407\SlG 1 0005. 0**==================~============~=======~========================~====**

uV

29000 lnjection Date: 10/24/20073:18:55 

### PM Sample Name Acq. Operator : mp Seq. Line: 5 Vial: 

### 5

Inj: 1 lnj Volume: Manually Method : C:\HPCHEM\2\METHODS\624HC-20.M 

### Last changed : 6/12/2007 3:42:03 PM by mp 

### HCs by 

### fid/gc. 08624, 12 minuite run start**at~20C** 

### TC?f samples ADC1 A. ADC1 CHANNEL A (H102407\SIG10005D) '\ o**~.** 

### (5; '1y**~0** 28000

27000

26000

25000

24000

23000 0 2 4 6 8 10 m.in.**====================================================== =====~=========**  Area Percent Report**===~~================================================= ===============**  Sorted 

### By Multiplier Dilution Signal 1.0000 1.0000**S~n~1:ADC1A.ADC1CHANNELA** Peak RetTime Type Width Area Height Area



### # (min] {min] [uV*s] [uVI 

### % 

## ----1-------1----1-------1---------- J 

## ----------1--------1 1 1.056 

### MM 0.01441.35147e4 1.56791e4 96.08835 2 1.138 MF 0.0248 265.70511 178.85849 1.88914 3 1.188 FM 0.0294 284.46371 161.08667 2.02251
Totals: 1.4064ge4 1.60190e4
Results obtained with enhanced integratorl**==============~===~====~================~==============~===~=========** *"'* End of Report *****~ID/ELCD** 10/24/2007323:10 

### PM mp of 

### 1

### 3ta File C:\HPCHE!Vi\2\DATA\H1 02407\SIG1 0006.0**~~==================~=======================================~========**

uV

29000 

### Injection Date: 10/24/20073:24:01 PM**~;ampie** 

### Name 

### Acq. Operator : mp Seq. Line 

### 6 Vial: 6

Inj: 1 

### Inj Volume: Manually Method : C:\HPCHEM\2\METHODS\624HC-20.M Last changed : 6/12/2007 

### 3:42:03 PM by mp HC's by 

### fid/gc, 08624, 12 minuite run start at -20C for samples ADCl A, ADC1 CHANNEL A (H102407\SIG10006.D)**~,,~'\** 0/**~~J(\'"** '7' .'Q0i'(?**i~W:'** 28000

27000

26000

25000

24000

23000 

### o 2 4 6 8 10 I min**===========================~============================~============** 

### Area Percent Report**====================================================== ==========~====**  

### Sorted By 

### Multiplier Dilution Signal 1.0000 1.0000**S~n~1:ADC1A,ADC1CHANNELA** 

### Peak RetTime Type Width Area Height Area



### # [min]

. [min) 

### [uV*s] [uV) 

### % 

## ----1-------1----1-------1--------- i 

## ----------1--------1

1 1.042 MM 0.01868973.245128040,30176 14.44020 2 1.176MM 0.02511.81147e4 1.20483e4 29.15115 3 1.678 BB 

### 0.0544 3.50527e4 1.0652ge4 56.40866
Totals: 6.21407e4 3.07414e4
Results obtained with enhanced integrator l**====================~===============================================~** 

### *** End of Report ***

FID/ELCD 10/24/2007 

### 3:27:03 PM mp PagE10f 1

### ata File C:\HPCHEM\2\OATA\H101907\SIG10009.D**=========~=================~~=~~===~=~=======~===~=~==~=~===~=~===~~=**

j: H 

### " .,i i L
>.Ii H

" ,1', ,l,:; 

### H 

# Ii II II 

# i \ 

# I \ 1\ 1 1 

### J. \-.

__--- .... ----1-

..\.-----

.. li·'··

.. •
...... O.**~_-** ....**~.** - _."**'--"-~'** ._._;.;**~"::-·l** ••• ----_._ •. ,
__ .- •.• -' 26000 28000·

25000 : 27000 :

24000 

### Injection Date: 

### 10/19/2007 2:36A9 PM Sample Name Acq. Operator : mp 

### Seq. Line: 

### 9 Vial: 

### 9

lnj: 1 

### Inj Volume: Manually Method : C:\HPCHEM\2\METHODS\624HC-20.M Last changed : 

### 6/1212007 3:42:03 PM 

### by mp**H.C·~bYfidlgc,** 

### 08624, 12 minI,Jiterun 

### st§rt. at -2P<::?.for**_~<:l!Ilpl** 

### .. es

... _._ .. . _._ .... ADC1 A, ",DC 1 CHANNEL A (H101907\SIG10009.D) uvi 

## #';?:p'O

Lf)'I;"-" n 

### g 29000 : 1 .

. 0**~~~fl:r'** 1, M 'it-"?" i 

## ! t**.!~** 'i

j 23000'j 

### o 2 .-,--.- ···-·1--····_-,_··_·

__ ··-:· 1"'-""-" "';'-'--- --_·1-·_,,·'····1··**---,····----·1···-··-~·1·---·-1-** .. · '.;-_

_ .• - _. 

### i

. 4__ _____..J5.

_ .....
_ . ... lL_._._

.
__ ._._ .
__ JQ

..
__ . ._ .. J1)jD'**======================~=~====~==~=====~===============~=============~** 

### Area Percent Report**==~=~===================~=====~====~~=======~========~ ===============**  

### Sorted 

### By MUltiplier Dilution Signal 

### 1

.. 0000 1.0000
Signal 1: ADC1 A, ADC1 CHANNEL A
Peak RetTime Type Width Area Height Area



### # [min] [min] [uV"'s] [uV] 

### % 

## ----1-----1----1-------1----------1----------1------1 1 1.065 

### MM 0.01504313.629394787.19775 5.16216 2 1.209 

### MM 0.02758776.957035321.5058610,50346 3 1.74988 0.0565 1.70091e4 4899.0566420.35497 4 3.060 P8 0.0510 1.61660e4 4839.1606419.34602 

### 5 4.525 

### MM 0.0455 1.77000e4 6481_0571321.18169 6 5.826 

### MM 0_0375 1.95968e4 8699.9384823.45171


### Totals: 8.3562664 3.5027ge4



### Results obtained with 

### enhanced integrator!**=~==============~======~==~=======~===~=~~~====~=~=~==~=====~========** 

### *** End 

### of Report ***

FID/ELCD 

### 10/19/20072:44:37 PM mp 

### Page10f 1'ata File C:\HPCHEM\2\OATA\H101907\SIG10010.D**=======~=====~===~================~~~==~=~=~~=======~===========~====** 

### Injection Date: 

### 10/19/20072:47:33 PM Sample Name Acq. Operator : rnp 

### Seq. Line: 10 

### Vial: 10

lnj: 1 Inj Volume: Manually Method : C\HPCHEM\2\METHODS\624HC-20.M 

### Last changed .6/12/20073:42:03 PM 

### by mp He's 

### by fid/gc> D8624, 12 minuite 

### run**s~art** at -20C 

### taL s20lples

. A.DC::-j**,~., ,~DC~**  CHANNEL A (H101907\SiG10010.D) LV

L'JUvV

28000
il

26000 ;: , i' 

### ,

25000

,,-:,....,.uuv

23000 

### c '.2 4 6 8 10 mi,



# ========:============================================================= Area Percem Keport**=================================================~~========~=========** Sorted 

### 8y MUltiplier .-..", Signal 1.0000



### Signal 1: ADC1 A, ADC1 CHANNEL A


### Peak RetTime Type Width Area Height Area



### # [min] [min} [uV*s] [uV] 

### % 

## ----1-------1--'-1------1---------1--------1-----1

1 1.074 MM 0.01538767.794929563.50000 5.11353 2 1.220 MM 0.02721.76613e4 1.08035e4 10.30037 3 1.762 MM 0.05613.41693e4 1.01558e4 19.92813 4 3.074 MM 0.05373.23851e4 1.00560e4 18.88752 5 4.537 MM D.04543.64640e4 1.33784e4 21.26646 6 5.839 MM 0.03744.20152e4 1.87438e4 24.50400
Totals: 

### 1.71463e5 7.27010e4

Results 

### obtained with 

### enhanced integrator!**~~=~=========~=======~===~~==~=====~=~=~~~=~~=====~========~==~==~~~~** 

### *"* End 

### of Report 

### ***

FID/ELCD 10/19/2007**2~58:17** 

### PM mp 

### Page10f 1Ita File C:\HPCHEM\2\DATA\H101907\SIG10011.D**=c===~========================~~===============~=====~~==============**

I' ! !

25000

24000 27000 29000

26000 28000 Injection Date : -; OJ19/2007 3:01 :08 PM Sample Name Acq. Operator : mp Seq. Line: 11 

### Vial: 11

Inj: 1 loj Volume: Manually Method : C:\HPCHEM\2\METHODS\624HC-20.M Last changed : 6/1212007 3:42:03 PM 

### by mp HC's by}id/gc, D8624, 12 minl!ite 

### run start at 

### -2PC for**sClfllQ!~?_"** : ADC1 A, ADC1 CHANNEL A{H101907\SIG10011.D) uV**~:;g ~~** **~'\** 

### C!(.t:**b<-~** 8 tx CO

### T~**~~.o/ ~.~**  ., . fb-" ,. '0-' !. 'tt' 1**:~~** 

### :r;;s0 :**~0**

# i~ j 

# II

! \

23000 

### c. 8**~=====================================~=====~===~=============~====~=** Area Percent Report**===================~=============~=========~=====~===~====~~=========** Sorted 

### By MUltiplier Dilution Signal 1.0000 1.0000


### Signa! 1: ADCl A, ADCl CHANNEL 

### A Height i\re3



### # [min] (min) [uV*s] [uVJ 

### %



## ---- i-------I----l- ------1---------- j ----------\ 

## -----"---1

'! 1.045**r\lIH\j~** 0_02545,68272e4 5.75727e4 5.03878 2 1.192 fJHJ\ 00268 111194e5 690274e4 9.85945 3 1.728 MM 00555 224977e5 6.75958e4 19.94839 4 3.035**f~1f\/1** 0.0531 2. 14887e5 6.74726e4 19.05373



### .- ,-r.**'~'9;?** .-: n.d·2·S 

### "?**iiJ.'9n3{~S** 9.5268684 21 71520 6 5.801 MM 0.03562.75007e5 1.28902e5 24.38445
Totals: 1.12780e6 4.8583ge5
Results obtained with enhanced integrator!**~~~==============~~~~~===~====~==~~========~=~~=~~==~~===========~===** i<** End of Report 

### ***

ffD/ELCD 10/19/20073:18:24 PM mp 

### PagE10f 1

### 'ata File C:\HPCHEM\2\DATA\H092407\SIG10011.0

29000 .. 

### Sample Name Acq. Operator : mp Vial: 11 Inj: 1 Inj Volume: Manually Method : C:\HPCHEM\2\METHODS\624HC-20.M Last changed : 6/12/2007 3:42:03 

### PM by mp HC's by fid/gc, OB624, 12 minuite run startat -20C for samples

, ADCl A, ADC1 CHANNEL 

### Ii. (H092407\SIG10011:0) .'--'..

----- .. uV**-q-~ ,,~n**  v-. " '0 co r.l>c, ffi C) "**(')~** Y\ '0' 0 'V 

### 11' "

. it ,,'0

### o~**,~,Q'** /\,,-,,-: 0 ':),,'0 -.<r"',,, ,,,'0" '".

### ~\

## ~:**&o;;~i** «i ' (")

## ~, i" ;"'1'1 0i'''OS

### x-~, 0 

## i 0'00-': 0'0 

### !i0 

# r

--. ---!"-----". 1 2 4 6 .C5 10

.- ., min 28000

27000

26000

25000

24000

23000 0 

# Ii i' jl i! 

# Ii
" Ii II 

### 1\ 

# I:

;



### ===================================================================== Area Percent Report**~===================================================== ===============**  

### Sorted By Multiplier Dilution Signal 1.0000 1.0000
Signal 1: ADC1 A, 

### ADC1 CHANNEL A
Peak RetTime Type Width Area Height Area



### # [min] [min] [uV*s] [uV] 

### % 

## ----1-------1----1-------1----------1---------1-------I 1 1.034 MM 0.01454363.046875017.42090 5.15881 2 1.175 MM 0.02798958.70801 5355.8193410.59267 

### 3 1_705 MM 0.0546 1.71185e4 5224.3715820.24072 4 3.008 MM 0.0527 1.62864e4 5149.6416019.25681 

### 5 4A68MM 0.04311.7877ge4 6915.7861321.13856 6 5.767 MM 0.0388 1.99701e4 8586.2207023.61243
Totais: 8.45746e4 3.62493e4

Resuits obtained with enhanced integrator!**=~===========================~===================~==== ===============**  *** 

### End of Report ***



### FID/ELCD 

### 9/24/2007 6:51 :26 

### PM mp Pag€1of 1

### ata File C:\HPCHEJ'v1\2\OATA\H092407\SIG100J2D**==~==~=====================~===~================~========~====~======** 

### Injection Date : 9/24/20076:54:48 

### PM Sample Name Acq. Operator : mp Seq. Line: 12 Via!: 12

inj: 1 

### Inj Volume: Manually

i""' .',**Ljor-~~Crt;fi.\'1\!\J{C:TI--innS\~?.(t~r-** _**~n ~,ll** 

uV
29000 

### Last changed : 6/12/2007 3:42:03 PM 

### by mp**H~'~b.yfid/gc,_** 

### Df3624:, 12minuite run start at**-~Oqfo~** 

### s51mpl.<::? ADC1 A, ADC1 CHANNEL A (H092407\SIG10012.D) 

# gi**,,-~"** 

# '} Po'? 

### f-i 0)\'f!i5V 

### ";)$ 

# 'if ";)";)'0 05

### :~:;,. 

### !

.. ! .01,.' .• 0'&' 'i'y- : 10' [0' 28000

27000

26000

25000

24000

23000 

### o 2 4 6 8 10 min**==================================~=~=================~==============** 

### Area Percent Report

Sorted 

### By MUltiplier Dilution Signal 1.0000 1.0000
Signal 1: ADC1 A, ADC1 CHANNEL A
Peak Remme Type Width Area Height Area



### # [min] [min] [uV*s] [uV] 

### % 

## ----1-------1----1-------1----------1----------1--------I

1 1.036 MM 0.01539088.680669891.34570 5.18777 2 1.178 MlV1 0.0265 1.82261 e4 1.14828e4 10.40334 3 1.710 MM 0.05493.48472e4 1.0579ge4 19.89062 4 3.013 MM 0.0530 330998e4 1.0408ge4 18.89318 5 4.473 MM**0~0435** 

### 3.71663e4 1.4242ge4 21.21432 6 5.772 MM 0.03724.27663e4 1.91393e4 24.41077

Results obtained with enhanced integrator!**====================================================== =======~======**  

### *** End of Report ***

FID/ELCD 9/24/2007 7:02:23 PM mp PagE10f 1lata 

### File C:\HPCHEM\2\DATA\H092407\SIG10014.D**~=~~======================~====================~=========~======~====**

29000 

### Seq. Line: 14 Vial: 14

lnj: 1 lnj Volume: Manually Method : C\HPCHEM\2\METHODS\624HC-20.M Last changed : 6/12/2007 3:42:03 PM by mp HC's by fid/gc, DB624, 12 minuite run start at -20C for samples

.. .., ADC1 A, ADC1 CHANNEL A (H092407\SIG10014,D)

uV 8. 

## §**~.** 'W

### ~'l;"- ,'l;()'O ':"<"".'**",~.** ",,:>":J ' ' :Ii '5-"',

. v 

# r-"v
%'&' '.0'&' 0'&'**~~;0** 

### lnjection Date: 9/24/20077:17:05 PM Sample Name .Acq. Operator : mp

28000

27000

26000

25000

24000

23000 I 0 2 4 6 8 ··,,'----·,·----"1"·- 10**=========================~=======================~=======~=====~=====** 

### Area Percent Report**====~~================================~=============== ===============**  

### Sorted By Multiplier Dilution Signa! 1.0000 1.0000
Signal 1: ADC1 A, ADC1 CHANNEL A
Peak RetTime Type Width Area Height Area



### # [min] [min] [uV*s] [uV] 

### % 

## ----1-------1----1------- i

## ----------1----------1--------1 1 1.039 MM 

### 0.01565.92463e4 6.34725e4 5.01172 2 

### 1.183 MM 

### 0.0268 1.15754e5 7.20226e4 9.79176 3 1.715 MM 

### 0.05552.33221e5 6.99903e4 19.72846 4 

### 3.019 MM 

### 0.05372.24206e5 6.96045e4 18.96589 5 4.478 MM 0.04342.56737e5 9.85648e4 21.71766 6 5.778 

### MM 0.03502.92992e5 1.39633e5 24.78451
Totals: 1.18216e6 513287e5

Results obtained with enhanced integrator!**=========================~==========~===================~====~~======** 

### *** End of Report ***

FIO/EleD 9/24/2007 727:18 PM mp PagE10f 1

# ~(fJf1 ,c7) 

## j/ '///>/7 

## / ,//**~/** /' 

### CHAIN OF 

### CUSTODY 

### /) I ,/ / 

### CLIENT: 

# i'e, ,Ii; w"'"", ", 

## TEST DATE(S):**--,-/i.::;.,O,.{-/.::..·ZC::~T.::..../.:.../{»** _ 

### LOCATION: 

### C'7- 2: 

### SAMPLER(S):

__ X<,-,

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### SAMPLE LOCATION: 

## .5;£// PROJECT MANAGER: _' / 4::..... .>..:..""'.;;:;..;_.'

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### TEST METHOD(S): 

## C6>'d /5 L;;- 

## T) PATE 

## DUE: 

# /Ii 

# ,l?'7 ;/ [) S

## ~/ , OUTSIDE LAB 

### REQUIRED?:

# ~,- 

# //js4. COMPLIANCE TEST?

# V~-

--;r" j**----..~=-----------**

, .. ' 

## DATE TIME 

## TEST 

## # SAMPLE DESCRIPTION CONTAINERS SAMPLER COMMENTS**,~;h""){)7** .J**/~'/I/)** J- f?/) 

## jJ v'/:}v";;;;;;**K~~** 

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## // DATEITIME

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### 7~;> 

# ItJ--z,,5 -07 ///J



# Dalla/1

### Appendix C.S Polycyclic Aromatic Hydrocarbon Data

R026220 

### C-6Client/location. Unit. Sample location Test No. Date. Start/Stop Time Bar Press (in Hg) Test Method Sample Time (Min). Sample Train. Meter Cal Factor Pitot Factor Nozzle Diam (in). Stack Area (sq tt) Stack 02 (%) Stack C02 (%). Stack Press (iwg) Stack Temp (F) Vel Head (iwg). Meter Temp (F). Meter Press (iwg). Meter Vol (acf). liquid Vol (ml) Std Sample Vol (SCF) Moisture Fraction Stack Gas Mol Wt Stack Gas Velocity (ftlsec) Isokinetic Ratio (%)
Stack Flow Rate (dscfm) Stack Flow Rate (mmdscf/h) 

# Delta
PAH Test Summary

SDG&E/Palomar CT-2 Stack 1-PAH October 22, 2007 062610731 29.70 CARB429 65 5-WCS

1.006 0.84 0.201 283.53

17.79 2.01 0.00 108.0 0.2950

74.4 0.63 26.818 5.7 26.48 0.010 28.92 31.67 106.51
443,425

26.61 Reference Temp (F). Fuel Data By. 68 Natural Gas BF Average

17.79 2.01 0.00 108.0 0.2950

74.4 0.63 26.8

5.7 26.48 0.010 28.92 31.67 106.51
443,425

26.6110-22-07 Cold Start PAH Data Lab Data


### POLYCYCLIC AROMATIC HYDROCARBONS LABORATORY SUMMARY 

### SDG&E/Palomar October 22, 2007

Field Blank Field Blank* ng/dscm 1·PAH

n9 PAH·FB n9 Method Blank n9 Species



# - - 

## - 

# - Naphthalene 92.2 NO< 461 NO< 461.0 NO< 614.6 2-Methylnaphthalene 12.8 NO< 64 NO< 64.0 NO< 85.33 Acenaphthylene NO< 10.0 NO< 10 13.8 NO< 13.33 Acenaphthene NO< 10.0 NO< 10 NO< 10.0 NO< 13.33 Fluorene NO< 10.0 NO< 10 10.6 NO< 13.33 Phenanthrene NO< 25.0 NO< 25 61.6 NO< 33.33 Anthracene NO< 10.0 NO< 10 NO< 10.0 NO< 13.33 Fluoranthene NO< 10.0 NO< 10 38.5 NO< 13.33 Pyrene NO< 10.0 13.9 39.3 18.53 Benz(a)anthracene NO< 10.0 NO< 10.0 NO< 10.0 NO< 13.33 Chrysene NO< 10.0 NO< 10.0 NO< 10.0 NO< 13.33 Benzo(b )f1uoranthene NO< 10.0 NO< 10.0 NO< 10.0 NO< 13.33 Benzo(k)f1uoranthene NO< 10.0 NO< 10.0 NO< 10.0 NO< 13.33 Benzo( e )pyrene NO< 10.0 NO< 10.0 NO< 10.0 NO< 13.33 Benzo(a)pyrene NO< 10.0 NO< 10.0 NO< 10.0 NO< 13.33 Perylene NO< 10.0 NO< 10.0 NO< 10.0 NO< 13.33 Indeno(1,2,3-cd)pyrene NO< 10.0 NO< 10.0 NO< 10.0 NO< 13.33 Oibenzo(a,h)anthracene NO< 10.0 NO< 10.0 NO< 10.0 NO< 13.33 Benzo(g,h,i)perylene NO< 10.0 NO< 10.0 NO< 10.0 NO< 13.33

*Used average Vmstd

11/19/2007 3:33 PM10-22-07 Cold Start PAH Data Results 1
POLYCYCLIC AROMATIC HYDROCARBON EMISSIONS CALCULATIONS SUMMARY SDG&E/Palomar 1·PAH

CLIENT: UNIT: LOCATION: TEST DATE: TIME ISOKINETICS, % SPECIES SDG&E/Palomar CT-2 Stack 10/22/2007 062610731 106.51 ng/train T REF (F): QSD(DSCF/MIN): VMSTD(DSCF): 02,%: C02,%: H

2 0, % ng/dscm ng/dscm @15%0 2 Ib/hr 68 443,425 26.484 17.79 2.01 0.0

Naphthalene ND< 461.0 ND< 614.6 ND< 1,166.0 ND< 1.0E-03 2-Methylnaphthalene ND< 64.0 ND< 85.3 ND< 161.9 ND< 1.4E-04 Acenaphthylene 13.8 18.4 34.9 3.1E-05 Acenaphthene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2E-05 Fluorene 10.6 14.1 26.8 2.3E-05 Phenanthrene 61.6 82.1 155.8 1.4E-04 Anthracene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2E-05 Fluoranthene 38.5 51.3 97.4 8.5E-05 Pyrene 39.3 52.4 99.4 8.7E-05 Benz(a)anthracene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2E-05 Chrysene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2E-05 Benzo(b )fluoranthene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2E-05 Benzo(k)fluoranthene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2E-05 Benzo(e)pyrene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2E-05 Benzo(a)pyrene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2E-05 Perylene ND< 1'0.0 ND< 13.3 ND< 25.3 ND< 2.2E-05 Indeno(1,2,3-cd)pyrene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2E-05 Dibenzo(a,h)anthracene ND< 10.0 ND< 13.3 ND<25.3 ND< 2.2E-05 Benzo(g, h, i)perylene ND< 10.0 ND< 13.3 ND< 25.3 ND< 2.2E-05

Total PAH < 808.8 < 1,078.3 < 4,819.6 < 1.8E-03 Total PAH w.o.! Naphthalene < 347.8 < 463.7 < 2,072.5 < 7.7E-0410-22-07 Cold Start PAH Data QA


### SDG&E/Palomar October 22, 2007

Species
Internal Recoveries, 

### % (added pre-extraction) Method Blank Average LCS Spike Sample Spike Recoveries PAH-FB 1-PAH

Acenaphthylene 86.0 78.1 103.0 99.9 Acenaphthene 90.9 81.8 98.8 94.7 Fluorene 111.0 82.4 118.0 112.0 Phenanthrene 120.0 93.6 127.0 128.0
Fluoranthene 78.8 79.9 82.4 81.3 Benz(a)anthracene Chrysene Benzo(b)f1uoranthene Benzo(k)fluoranthene

Indeno(1,2,3-cd)pyrene 77.3 70.4 67.7 68.6 Dibenzo(a,h)anthracene 76.5 68.2 68.0 68.5 Benzo(g, h, i)perylene 74.7 68.1 66.8 64.0

Surrogate Recoveries. % (field spikes) Terphenyl-2H14 98 NS 95.9 105.0 Benzo(e)pyrene 100 NS 88.6 91.7
Alternate Recoveries, %
Anthracene-2H10 111 105.9 138.0 129.0
NS

- Not Spiked, not applicable

# De/lab. ,,;,0-' ................ --..**,;;r,,::.~i;:~~** -



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- 2

### Section I: Sample Inventory Report

001

002 

### Date Received: Project No.: Project Name:

Client Sample ID I-PAH

PAHFB 

### 10/25/2007 29822

Component ID B 1/2 , LINE, CONDENSER FILTER IMP CATCH IMP RINSE PROBE WASH FI/2 XAD B 1/2 , LINE, CONDENSER FILTER IMP CATCH IMP RINSE PROBE WASH FI/2 XAD

SmpinvgnllJm5.rpt

### 10/26/2007

Vista Project ID: 29822

Ms. Arlene Bell Delta Environmental Services 1845 N. Case St. Orange, CA 92865
Dear Ms. Bell,
The samples listed in the sample inventory were received by Vista Analytical Laboratory on 10/25/2007. 

### Please find attached:

• Tenus and Conditions (reverse side of letter)

• Sample Inventory Report

• Chain-of-Custody

• Additional sample documentation (if applicable).

• Sample Log-In Checklist Analytical results are scheduled to be reported to you on: 1111512007. All sample containers and their contents will be disposed of 90 days subsequent to issuance of a final report.
If you have any questions regarding the status of the work associated with these samples, please contact me at (916) 673-1520. Sincerely,

Martha M. Maier Laboratory Director

Vista Analytical Laboratory 

### I 1104 Windfield Way 

### I Et Dorado Hills. CA 95762 

### I ph: 916-673-1520 

### I fx:916-673-0106 

### I wwww.vista-analytical.com

## / 

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# I

Delivered By: 

### FedEx 

# I UPS 

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# I**b:~~~ed]** Other Preservation: Ice 

## j

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# I None Temp °C 

# {Jr., 

# I Time: 

# If**I~** Thermometer 10: IR-1

NO NA



### Vista Shipping Container Chain of Custod / Sample Documentation Present? Sample Custod Seals Intact? Sample Container Intact? Airbill Trk 

### # Shi pin Documentation Present? Shippin Shippin

Comments:

Sample LogllI ]'2IJ07 rmil

### November 16, 2007 Vista Project lD.: 29822 

### Ms. Arlene Bell Delta Environmental Services 1845 N. Case St. Orange, CA 92865
Dear Ms. Bell,
Enclosed are the results for the two MM5 samples received at Vista Analytical Laboratory on October 25, 2007. These samples were extracted and analyzed using CARB Method 429 for PAHs. A standard turnaround time was provided for this work.
The following report consists of a Sample Inventory (Section I), Analytical Results (Section II) and the Appendix, which contains the chain-of-custody, a list of data qualifiers and abbreviations, Vista's current certifications, and copies of the raw data (ifrequested).
Vista Analytical Laboratory is committed to serving you effectively. If you require additional information, please contact me at 916-673-1520 or by email atmmaier@vista-analytical.com. Thank you for choosing Vista as part of your analytical support team.

# )k/~ Martha M. Maier Laboratory Director

Vista Analytical Laboratory certifies that the report herein meets all the requirements set forth by NELAe for those applicable test methods. Results relate only to the samples as received by the laboratory. This report should not be reproduced except injUll without the wrillen approval of Vista Analytical Laboratory. 

### " I

Vista Analytical Laboratory 

### I 1104 Windfield Way 

### I EI Dorado Hills, CA 95762 

### I ph: 916-673-1520 

### I fx: 916-673-01 06 

### I wwww.vista-analytical.com 

### Project 29822 Page 1 of 12

# ~·Vista

Section I: Sample Inventory Report

Date Received: Project No.: Project Name: 10/25/2007 29822

Component ID

Project 29822 001

002 1-PAH

PAHFB B 1/2 • LINE, CONDENSER FILTER IMP CATCH IMP RINSE PROBE WASH F 1/2 XAD Bl/2. LINE, CONDENSER FILTER IMP CATCH IMP RINSE PROBE WASH F1/2 XAD

Smpinvgnmm5.rpJ

Page 2 of 12Project 29822 

### SECTION II

Page 3 of 12

### Method Blank

Matrix: MM5 Sample Size: Sample QC Batch No.: Date Extracted: 9607 7-Nov-07 

# "'·Vista

CARB Method 429

Lab Sample: O-MBOOI Date Analyzed DB-5: l2-Nov-07


### Analyte Cone. (ng/Sample) 

### RL a 

### Qualifiers Labeled Standard c %R 

### LCL-UCL d Qualifiers Naphthalene 92.2 2-Methylnaphthalene 12.8 Acenaphthylene ND Acenaphthene ND Fluorene ND Phenanthrene ND Anthracene ND Fluoranthene ND Pyrene ND Benz(a)anthracene ND Chrysene ND Benzo(b)fluoranthene ND Benzo(k)fluoranthene ND Benzo(e)pyrene ND Benzo( a)pyrene ND Perylene ND Indel1o( 1 ,2,3-c,d)pyrene ND Dibenz(a,h)anthracene ND Benzo(g,h,i)perylene ND 25.0 10.0 10.0 10.0 

### 10.0 25.0 

### 10.0 10.0 

### 10:0 10.0 10;0 10.0 10:0 10.0 10.0 10.0 10.0 

### 10.0 10.0 IS d8-Naphthalene 72.6 d8-Acenaphthylene 86.0**d1O~Acenaphthene** 90:9 d1 0- Fluorene 111**dl0~PhE:nanthrene** 120 d 10-Fluoranthene 78.8 d12-Beriz(a)anthracene 67;8**d12~Chrysene** . .. 74.3 d12-Benzo(b)fluoranthene

. 109 d 12- Benzo(k)fluoranthene 101 d12-Benzo(a.)pyrel1e 89.8 d 12- Indeno(l ,2,3-c,d)pyrene 

### 77.3**d.14~Di1j~tlz(a;h)anthracene** 

### 76.5**dl;-~~nZo(~,h,i)perylene** 74.7 d14'-1'erphenyl 97.5 dI2-Benzo(e)pyrene 99.9 dlOOOA11thra.cene 111

a, Reporting limit. b, Method detection limit.
c, IS; Internal Standards d. LOwetcontrollhnit-\lpper control limit. 50- 150 50

- 150 50

- 150 50

- 150 50-150 50

- 150 50- 150 50

- 150 50-150 50

- 150 50- 150 50

- 150 50 -150 50

- 150 50- 150 50

- 150 50 -150

Analyst: 

### JMH

Project 29822 Approved By: Martha M. Maier 16-Nov-200708:01

Page 4 of 12I

# ~·Vista

Matrix: MM5 QC Batch No.: 9607 

# I Lab Sample: 0-001LCS1/LCS2 Date Analyzed DB-5:l2-Nov-07 Sample Size: Sample Date Extracted: 7-Nov-07
Analyte LCSl-%R LCS2-%R RPD IS Type Internal Standard LCSl-%R LCS2-%R Naphthalene 138 125 9.89 IS d8- Naphthalene 70.0 65.9 2-Methylnaphthalene 75.0 72.5 3.39 d8-Acenaphthylene 79.5 76.7 Acenaphthylene 78.5 75.5 3.90 d 1 0- Acenaphthene 81.7 81.9 Acenaphthene 81.0 75.5 7.03 dIO-F1uorene 79.4 85.3 Fluorene 91.0 88.5 2.79 d1 0- Phenanthrene 95.6 91.6 Phenanthrene 84.2 94.4 11.4 d10-Fluoranthene 80.5 79.3 Anthracene 80.0 83.0 3.68 d 12-Benz( a)anthracene 65.6 63.8 F1uoranthene 104 105 0.957 d12-Chrysene 71.3 74.5 Pyrene 102 106 3.85 d12-Benzo(b )fluoranthene 94.6 107 Benz(a) anthracene 84.0 89.5 6.34 d 12- Benzo(k)fluoranthene 96.6 103 Chrysene 77.0 78.0 1.29 d12-Benzo(a)pyrene 82.3 83.6 Benzo(b )fluoranthene 100 98.0 2.02 dl2- Indeno( 1 ,2,3-c,d)pyrene 69.9 70.9 Benzo(k)fluoranthene 104 98.5 5.43 d 14- Dibenz( a,h)anthracene 65.1 71.2 Benzo( e )pyrene 110 102 7.55 d12-Benzo(g,h,i)perylene 68.4 67.8 B enzo( a)pyrene 112 112 0 PS d14-Terphenyl NA NA Perylene 104 106 1.90 d 12-Benzo( e)pyrene NA NA Indeno( 1 ,2,3-c,d)pyrene 99.0 94.0 5.18 AS d1 0- Anthracene 114 97.7 Dibenz( a,h )anthracene 101 94.5 6.65 Benzo(g,h,i)perylene 100 102 1.98

Project

### 298~qemist: JMH Approved By Martha M. Maier 16-Nov-200708:01 Page 5 of 12Sample ID: 

### I-PAH I 

# \\·Vista

CARB Method 429 Client Data Name: Project: Date Collected: Time Collected: Delta Environmental Services NA 22-0ct-07 1000 Sample Data Matrix: MM5 Sample Size: Sample Laboratory Data Lab Sample: QC Batch No.:**D~te** Analyzed DB-5: 29822-001 9607 13-Nov-07 Date Received: Date Extracted: 25-0ct-07 7-Nov-07

Analyte Cone. (ng/Sample) 

### a 

### RL Qualifiers 

### c Labeled Standard %R LCL-UCL d Qualifiers
64.8 99.9 94.7 

### 112 Naphthalene 2-Methy1naphtha1ene Acenaphthylene Acenaphthene Fluorene Phenanthrene Anthracene Fluoranthene Pyrene B enz( a)anthracene Chrysene Benzo(b)fluoranthene Benzo(k)fluoranthene B enzo( e )pyrene B enzo(a)pyrene Perylene lrideno( 1,2, 3 -c,d )pyrene Dibenz( a,h )anthracene Benz()(g,h,i)perylene 

### ND ND 13.8 

### ND 10.6 61.6 

### ND 38.5 39.3 

### ND ND ND ND ND ND ND ND ND ND 25.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10;0 10.0 10.0 IS**d8~Maphthalelle d8-~:enaphthYlene**  d1**O~A.c(:)naphthene** dl0-Fluorene 

## dlO;pqei1ap. t 

### htene d 10-Fluoranthene 81.3

### d12~B{\riz(~)anthracerl.e 77.0 dl2-Chrysene 79.5**416-13e~o(b)f!§oranthenc** 104 dI2-Benzo(k)fluoranthene 107**dl1-~e±1Z6(a)pY'rerie** 86.1· d 12- Indeno( 

### 1**,2,3~c,d)pyrene** 68.6 

### d14-pibeni(alh)anthtacene.·. 68.5 dI2-Benzo(g,h,i)perylene 64.0 dl4;'Tel'phenyl 105 d12-Benzo(e)pyrene 91.7 d10-Arithnicellc 129 50

- 150 50

- 150 50

.. 150 50

- 150 50." 150 50

- 150**50~** 150 50

- 150 50-.150 50

- 150 50

.. 150 50

- 150 50

.. 150 50

- 150 50- 150 50

- 150 50

- 150

Analyst: JMH

Project 29822 a. Reporting limit. b. Method detection limit.

c. IS; Internal Standards, PS; Pre-Spike Surrogates. d. Lower control limit-upper control limit. Approved By: Martha M. Maier 16-Nov-200708:01

Page 6 

### of 12I

# ~·Vista CARD Method 429 SampleID: Client Data Name: Project: Date Collected: Time Collected: 

### PAHFB

Delta Environmental Services NA 22-0ct-07 1000 Sample Data Matrix: MM5 Sample Size: Sample Laboratory Data Lab Sample: QC Batch No.: Date Analyzed DB-5: 29822-002 9607 B-Nov-07 Date Received: Date Extracted: 25-0ct-07 7-Nov-07

Analyte Cone. (ng/Sample) 

### RL a Qualifiers c Labeled Standard %R LCL-UCL d Qualifiers
50-ISO 50

- 150 50

- 150 50

- 150 50

.. ·150 50

- 150 50 -150 50

- 150 50;'150 50

- 150 50;,150 50

- 150 50-ISO 50

- 150 50

.. 150 50

- 150 50 -150, dS-Naphthalene d8-Acenaphthylene

. d10-Acenaphthene

dIO-Fluorene 

### 54.3 103 98:8 118 127 d10-Fluoranthene 82.4 dI2-Benz(a)a.nthracene 71.5 d12-Chrysene

. . 80.3**d12~Benzo(b)fluoranthene** '110 d12-Benzo(k)fluoranthene 114

'

.. d12-Benzo(a)pyrene 89.4 d 12- Indeno(1 ,2,3-c,d)pyrene 67.7**'dI4~Dibenz:(a;h)anthracene** .68.0 66.8 95,9 88.6 138 NO NO ND NO 

### ND NO ND NO 13.9 NO 

### ND NO 

## ND NO NO NO NO NO NT) Naphthalene 2-Methylnaphtha1ene Acenaphthy1ene Acenaphthene Fluorerte Phenanthrene Anthracene Fluoranthene pyrene Benz(a)anthracene Chrysene Benzo(b )fluoranthene Henzo(k)t1uora.nthene Benzo( e)pyrene Herizo(a)pyrerie '., Perylene lrideno(1,2,3-c,d)pyrene Dibenz( a,h)anthracene Berizo(g,h,i)pefylene

a. Reporting limit. b. Methoddetectiol\Jimit.

c. IS; Internal Standards, PSi Pre-Spike Surrogates.**d.L.o\VerciJlitrollimii-·ltPp~rc~ntrollin1it~** . Analyst: JMH Approved By: Martha M. Maier 16-Nov-200708:0l

Project 29822 Page 7 of 12Project 29822 

### APPENDIX

Page 8 of 12

### B
D 

## DATA QUALIFIERS & ABBREVIATIONS

This compound was also detected in the method blank.
Dilution
P

H


### I


### J



## *
Cone.
DL
MDL

EMPC
NA
RL


### ND TEQ The amount reported is the maximum possible concentration due to possible chlorinated diphenylether interference.
The signal-to-noise ratio is greater than 10:1.
Chemical Interference
The amount detected is below the Lower Calibration Limit of the instrument.
See Cover Letter
Concentration Sample-specific estimated detection limit
The minimum concentration of a substance that can be measured and reported with 99% confidence that the analyte concentration is greater than zero in the matrix tested.
Estimated Maximum Possible Concentration
Not applicable Reporting Limit

- concentrations that correspond to low calibration point
Not Detected
Toxic Equivalency

Unless otherwise noted, solid sample results are reported in dry weight Tissue samples are reported in wet weight

Project 29822 Page 9 of 12

### CERTIFICATIONS

ghCA 

# -----1**----~**



# .-- State of Pennsylvania 68-00490



## -------- 1----------- 

### State of South Carolina 87002001

.. 

## -...., State of Tennessee**~_2996** 

### State of Texas TX247-2005A



## - 

# ---.--_.- U.S. Army Corps of Engineers State of Utah 9169330940 Commonwealth of Virginia 100013-**--_._------_._---~-----_** .. 

## - State of Washington 

# I C1285



## - 

# t----- State of Wisconsin I 

### 998036160



## --- _._- 

# I State of

# Wyomin.~_ I State of Connecticut PH-0182



# -------- -- State of Florida, DEP E87777 Commonwealth of Kentucky**~0063** 

### ___ . State of Louisiana, Health and Hospitals 

# I LA050001 State of Louisiana, DEQ 101977 f-.

### --~---



### State of Maine CA0413



## -------- -- State of Michigan I 

### 81178087

. State of Mississippi 

# I**Reci~ro~ity** throu 

## -;---_._----- Naval Facilities Engineering Service Center 

# I State of Nevada ICA413 State of New Jersey

# ~A003

...

# _-- --------- State of New Mexico L 

### Reciprocity throu State of New York, DOH 

# ! 11411**._----~~-_** .•.

## _----_. State of North Carolina 06700



# ------- ,,-....-...._----- I

# ~:,:~;:,:~~:~:~y 

# - -**'4~:::~C;:cN~_e_r_** .... State of Arizona 

## I AZ0639 State of Arkansas, DEQ 

# ·----------1 05-013-0

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# Ark~nsas, DOH
·

# t~·~i;~citY·**th~?~.?h** CAl

State of California

- NELAP Primary AA 

# I 02102CA 

## ! 

# _.,.. -_·_-j·_····_-----_·

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### State of Colorado 

# I

! State of North Dakota, DOH 

### I R-078 !

. 

# ----1------ 

# I State of Oklahoma ii' 

### D9919 

## I State of Oregon 

# ! CA200001-002



# -

Project 29822 Page 10 of 12"**~~-** \

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CHAIN'OFCUSrODY "

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### #:

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## _

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Chain of Custod 

### I Sample Documentation Present? Shi Custod Seals Intact? NO NA

Vista Trk# Shi pin Documentation Present? Airbill Sample Container Intact? Shippin Container(s)lntact?

Shipping Container Holdin Time Acceptable?



### Comments:

Project 29822 Sample Login 312007 rmh Page 12 of 12

### Appendix C.G Trace Organic Compounds

R026220 

### C-7Client/Location Unit Sample Location Test No. Date Start Time Stop Time Test Method Stack Flow Rate, DSCFM@Tref Fuel Flow Rate, hscf/hr Benzene,ppb Benzene, Iblhr Benzene, Ib/MMSCF Toluene, ppb Ib/hr Ib/MMSCF Ethylbenzene, ppb Ib/hr Ib/MMSCF 

### m + P xylene, ppb Ib/hr Ib/MMSCF o xylene, ppb Ib/hr Ib/MMSCF Acrolien 

### J 

# If 

# b Ib/hr Ib/MMSCF Delta BTEX Test Summary

SDG&E/Palomar CT-2 Stack 1-BTEX 10/22/07

6:26 7:31 TO-15 443,425

4,775 1.96 0.011 0.022

6.2 0.039 0.082 0.16 0.001 0.002 0.17 0.001 0.003 < 0.1 < 0.001
< 0.002 8.1 0.031 0.066 Reference Temp (F). Fuel Data By 68 Natual Gas Finken Average

443,425

4,775 1.96 0.011 0.022

6.2 0.039 0.082

0.2 0.001 0.002

0.2 0.001 0.003 < 0.1 <:.. 0.001 L 0.002 8.1 0.031 0.066

# Dclta~
EVACUATED FLASK DATA SHEET

CLIENT: 

# 5'DG£ PERFORMED BY:

# _---.::...6-_~ 

# 6_-?

_ LOCATION:

# _---L~-..!~!...!.'**!-..!~::::-;** _rft_t{_fr--- 

### UNIT:

__

# -""'V''--

_

Test 

### # 

# IVP j_ 

### I 

## C

Date 

# It' 12 

# -C'/

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x

### 6'Z~ Time 

# 710
Flask 

### # 

# C/O'? 

# f (

Initial Vac. 

# 1c l



### Final Vac. 

# (f{;

Comments: ---'- 

### C£/'?'>**/r'~**

Evacuated Flask Data Sheet23917 Craftsman Rd., Calabasas, CA 91302· (818) 223-3277 • FAX (818) 223-8250 environmental consultants laboratory services



### November 2, 2007 Bob Finken Delta Air Quality 1845 North Case Street Orange, CA 92865-4234

re: Palomar 

## I CT 2 Dear Bob: LTR/325/07



### Please find enclosed the laboratory analysis report, quality assurance summary, and the original chain of custody form for one SUMMA canister sample received October 24,2007.
The sample was analyzed for benzene, toluene, xylenes, and acrolein as requested on the chain of custody form.
Sincerely, AtmAA, Inc.

Michael 

## L£. Porter Laboratory Director
Encl. MLP/krm

### 23917 Craftsman Rd., Calabasas, CA 91302· (818) 223-3277· FAX (818) 223-8250

LABORATORY ANALYSIS REPORT
BTEX and Acrolein Analysis in SUMMA Canister Sample
Report Date: November 

### 2, 2007 Client: Delta Project Location: Palomar / CT 

### 2

Date Received: October 24, 2007 Date Analyzed: October 30,2007

ANALYSIS DESCRIPTION environmental consultants laboratory services

Benzene, toluene, ethylbenzene, xylenes, and acrolein were measured by gas chromatography/ mass spectrometry (GC/MS).



### Components
Benzene Toluene Ethylbenzene m 

### + p-xylenes o-xylene Acrolein AtmAA Lab No.: Sample 

### 1.0.: 02977-1 1-VOC Can #341 (Concentration in ppbv)


### 1.96 6.17 0.16 

### 0.17 <0.1 8.13

Page 1 of 2 Michael L. Porter Laboratory Director

### QUALITY ASSURANCE SUMMARY (Repeat Analyses)


### Project Location: Palomar / CT 2

Date Received: October 24, 2007 Date Analyzed: October 30, 2007 Sample 

### 10 Components
Benzene 1-VOC 1.89 2.03
Toluene 1-VOC 6.17 6.17 Ethylbenzene 1-VOC 0.16 0.17

m + p-xylenes 1-VOC 0.17 0.17 a-xylene 1-VOC <0.1 <0.1
Acrolein 1-VOC 7.61 8.65 % Diff. From Mean

1.96 3.6
6.17 0.0
0.16 3.0
0.17 0.0

8.13 6.4

One SUMMA canister sample, laboratory number 02977-1, was analyzed for BTEX and Acrolein. Agreement between repeat analyses is 

### a measure 

### of precision and is shown above in the column 

### "% Difference from Mean". Repeat analyses are an important part 

### of AtmAA's quality assurance program. The average 

### % Difference from Mean for 

### 5 repeat measurements from one SUMMA canister sample is 2.6%.



### Page 2 of 2

### I·::' -T

. )/1 /-('.--e f' .' r" \.. 

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### CUSTODY)?' '

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### METHOD(S): 

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### Appendix C.7 Formaldehyde, Acetaldehyde and Acrolein

R026220 

### C-8

# Delta
Aldehyde Test Summary

Client/Location Unit Sample Location Test No. Date Start Time Stop Time Bar Press (in Hg) Test Method Sample Time (Min). Sample Train. Meter Cal Factor Meter Temp (F) Meter Press (iwg) Meter Vol (I) Meter Vol (am A 3) Sample Rate (Ipm) Liquid Vol (mt) Std Sample Vol (SM A 3) Std Sample Vol (set) Stack Flow Rate, DSCFM@Tref Fuel Flow Rate, hscflhr Formaldehyde Emissions Formaldehyde,ug Formaldehyde,ppb Formaldehyde,lb/hr Formaldehyde,lb/MMSCF Acetaldehyde Emissions Acetaldehyde, ug Acetaldehyde,ppb Acetaldehyde,lb/hr Acetaldehyde,lb/MMSCF SDG&E1Palomar CT-2 Stack 1-Aldehyde October 22, 2007 6:26 7:26 29.71 CARB430 60 13-WCS

0.9919

70.6 0.05

23 0.023 0.383 2 0.0222 0.7804 443,425 4,775
28.71 1,024.0 2.1560 4.5153

7.96 193.5 0.5978 1.2519 Reference Temp (F). Fuel Data By. 60 Natual Gas Finken Average

70.6 0.05

0.0
2.0 0.0222 0.7804 443,425

28.71 1,024.0 2.1560

. 4.5153
7.96 193.5 0.5978 1.2519 Acrolien Emissions Acrolien,ug Acrolien,ppb Acrolien,lb/hr Acrolien,lb/MMSCF Field Blanks ug/sample, one impinger only Formaldehyde,ppb ug/sample, one impinger only Acetaldehyde, ppb ug/sample, one impinger only Acrolien,ppb nd < nd < nd < nd <

< < < < nd < nd < 0.015 0.29 0.0215 0.0450

0.500 35.67 0.500

24.3 0.015

0.57 0.02 0.3 0.0215 0.0450

35.7
24.3

0.6 CARS Reporting Results· Formaldehyde Ratio, sample/blank Acetaldehyde Ratio, samplelblank Acrolien Ratio, sample/blank Formaldehyde,ppb Acetaldehyde,ppb Acrolien,ppb nd < *5 X Blank Level if Sample less Than 5 X Blank Stack flow rate from plant CEMS Use average test volume for calculating field blanks 28.7 337.9 0.500 1024.0

193.5

2.9 1024.0 193.5

2.9

# Delta
Aldehyde Test Summary

Client/Location SDG&E/Pa!omar Unit CT-2 Sample Location Stack Test No. 1-Aldehyde Field Spike Recovery: ug % Formaldehyde Spike Level 120 Formaldehyde Recovery 120 100.0% Acetaldehyde Spike Level 

### n/a Acetaldehyde Recovery 0 

### n/a Trip Spike Recovery: ug 

### % Formaldehyde Spike Level 100 Formaldehyde Recovery 117 117.0% Acetaldehyde Spike Level 100 Acetaldehyde Recovery 103 103.0%
Acrolien Spike Level 100 Acrolien Recovery 101 101.0% Matrix Spike Recovery: ug 

### % Formaldehyde Spike Level 0.938 Formaldehyde Recovery 0.892 95.1% Acetaldehyde Spike Level 0.938 Acetaldehyde Recovery 1.078 114.9%
Detection Limit 0.015' ..**_.~** 

# De/tiili.**,J.;,Qu.oIil)'~M~60,I"** .. .., .... '.d

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# Atmospheric Analysis & 

# Consulting, Inc.

CLIENT PROJECT NAME AAC PROJECT NO. REPORT DATE : Delta Air Quality : Palomar : 071171 : 11105/2007


### On October 24, 2007, Atmospheric Analysis & 

### Consulting, Inc. received six (6) DNPH impinger contents for Formaldehyde, Acetaldehyde and Acrolein analysis by CARB Method 430 Modified. The samples were assigned unique Laboratory ID numbers as follows:
Client 

### ill Lab No. 

### Trip Blank 

### 071171-29940 Trip Spike 

### 071171-29941 I-Form ViaiiA 

### 071171-29942 I-Form Vial 1B 

### 071171-29943 I-Field Blank Vial I-FB 

### 071171-29944

Field Spike Vial FS 

### 071171-29945
CARB 430

- Two (2) milliliters of the organic layer was removed from all samples and concentrated to dryness under a stream of UHP Nitrogen. When the samples reached dryness, the vials were removed from the nitrogen stream and two (2) milliliters of Carbonyl-free Acetonitrile was added. A 20 I-lL aliquot of the extract was analyzed by HPLCIUV following CARB Method 430 as specified in the chain of custody. Holding times for preparation and analysis were complied with.
No problems were encountered during receiving, preparation, and/or analysis of these samples. The test results included in this report meet all requirements of the NELAC Standards and/or AAC SOPs# AACI-CARB430.
I certify that this data is technically accurate, complete and in compliance with the terms and conditions of the contract. Release of the data contained in this hardcopy data package and its electronic data deliverable submitted on diskette has been authorized by the Laboratory Director or his designee, as verified by the following signature.
If you have any questions or if you require further explanation of data results, please contact the undersigned. 

# r;**5~;~'{" g£2~**  Mrrf'\V\ /'Sucha S. Parmar; PhD • 

# Y /" Technical Director 

### C/' 

### 8 This report consists of pages.



## Page 1

1534 Eastman Avenue • Suite A • Ventura, California 93003 

# (1) (805) 650-1642 • FAX (805) 650-1644

# Atmospheric Analysis & 

# Consulting, Inc.

Quality Control/Quality Assurance Report CARB Method 430 

### HPLC Calibration Verification of the 10/19/2007 Calibration Analysis Date 10/25/2007 Analyst : CF Instrument ID : Hl'LC 01

Fonnaldehyde 

### I 1.875 

### I 2.005 

### I 107 

### I 681059 

### I 728361 

### I 6.7 Opening CCV 

## I**Aceta1deh~** 1.875 

# I 1.998 

# I 107 

# r==;8347 I 573561 

### I 6.3 1.875 1.929 103 

### I 700502 

### I 2.8 Fonnaldehyde 681059 Continuing CCV 

## I Acetaldehyde 1.875 1.937 103 538347 556013 

### I 3.2 Fonnaldehyde 1.875 1.894 101 681059 688006 

### I 1.0 Continuing CCV 

## I Acetaldehyde 1.875 

### I 1.926 I 103 

### I 538347 

### I 553019 I 2.7 Fonnaldehyde 1.875 

### I 1.906 

### I 102 

### I 681059 

### I 692159 

### I 1.6 Closing CCV 

### I Acetaldehyde 1.875 1.946 104 538347 558597 3.7



### * Must be 85 • 115 % 

# z: C':::. t'.

# (~ 

# Ifr"f\"'-A ** Must be":::25% Dr. Sucha Pannar ;

, Technical Director

1534 Eastman Avenue 

## • Suite A 

# • Ventura, California 93003 

# *
(805) 650-1642 

## • FAX (805) 650-1644 Page 3

# Atmospheric Analysis & 

# Consulting, Inc.

Quality Control/Quality Assurance Report CARB Method 430 

### Laboratory Control Spike Analysis
Analysis Date : 10/25/2007 Analyst : CF
LCS 1 Instrument ID : HPLC 0 I

Formaldehyde Acetaldehyde 0.00
0.00 1.875
1.875 1.950
1.953 1.913
1.920 

### 104 104 102 102 1.9 1.7


## * Must be 80·120% 

## ** Must be:5 25%

# ~fA~~ / Dr. Sucha Pamiar

. / /.--- Technical Director

1534 Eastman Avenue 

## • Suite A 

## • Ventura, California 93003 

# @ (805) 650-1642 

## • FAX (805) 650-1644 

### Page 4

# Atmospheric Analysis & 

# Consulting, Inc.

Quality Control/Quality Assurance Report CARB Method 430 Matrix Spike Analysis Analysis Date : 10/25/2007 Analyst : CF Instrument ID : HPLC 01

Formaldehyde 

### I 2.31 

### I 0.938 

### I 3.202 

### I 3.199 

### I 95 

### I 95 

### I 0.3 071171·29942 

## I Acetaldehyde 

# I 0.53 

# I 0.938 

# I 1.608 

### I 1.603 

### I 115 

### I 114 

### I 0.5 I 

## * Must be 80·120% 

## ** Must be.:::: 25% 

# r2 / (4 s;**.~:.....c-f"** 

### , ............... // Dr. Sucha Parmar7/' 

## L--- Technical Director

1534 Eastman Avenue 

## • Suite A 

## • Ventura, California 93003 

# *
(805) 650-1642 

## • Page 5 FAX (805) 650-1644

# Atmospheric Analysis 

# & Consulting, Inc.

Quality Control/Quality Assurance Report CARB Method 430 Duplicate Analysis Analysis Date Analyst 10/2512007
: CF Instrument 10 : HPLCOI

071171-29942

071171-29945

071176-29956 Fonnaldehyde Acetaldehyde Fonnaldehyde Acetaldehyde Fonnaldehyde Acetaldehyde 4.616 4.702 1.8 1.067 1.071 0.4 3.716 3.728 0.3 4.616 4.621 0.1 <PQL <PQL 

### NA <PQL <PQL NA



### * Must be < 25% PQL

- Practical Quantitation Limit ND

- Not Detected

# <Ss?:tA~~~ / Dr. Sucha Pannar { Technical Director

1534 Eastman Avenue • Suite A • Ventura, California 93003 

# * Page 6 (805) 650-1642 • FAX (805) 650-1644

# Atmospheric Analysis 

# & Consulting, Inc.

Laboratory Analysis Report

CARB Method 430 Modified Client Project Name Lab Nnmber Analyst : Delta Air Quality
: Palomar
: 071171
: CF

## fW~~~?t~i~#~~li~~~iJt.·.·· 

# •

• 'CiliU:entriltion?'CollCenfultmo:':::

### (~W*#m~~i·**'·.·(~W~~~~!~i** Receiving Date Analysis Date Report Date 10124/2007 10/25/2007 11/0512007

Trip Blank 071171-29940 <PQL <PQL ND 0.50 Trip Spike 071171-29941 63.3 89.8 130.7 0.50

I-Form ViallA 071171-29942 27.7 6.40 ND 0.50

I-Form Vial IB 071171-29943 1.01 1.56 ND 0.50

I-Field Blank Vial I-FB 071171-29944 <PQL <PQL ND 0.50

Field Spike Vial FS 071171-29945 117% Recovery 103% Recovery 10 I% Recovery 0.50 PQL

- Practical Quantitation Limit ND

- Not Detected

# --6&1s.~'h Sucha S. Parmar, PhD.

... 

### .e::.-- Technical Director ./

1534 Eastman Avenue • Suite A • Ventura, California 93003 (805) 650-1642 • FAX (805) 650-1644 

### Page 2

# Atmospheric Analysis & 

# Consulting, Inc.

Quality Control/Quality Assurance Report CARB Method 430 System and Method Blank Analysis Analysis Date Analyst : 10/25/2007
: CF Instrument ID : HPLC 01

Formaldehyde ND 

### 0.075 Acetaldehyde ND 

### 0.075 Formaldehyde ND 

### 0.075 Acetaldehyde 

### <PQL 0.075 Formaldehyde 

### <PQL 0.075 Acetaldehyde 

### <PQL 0.075 Formaldehyde ND 

### 0.075 Acetaldehyde 

## ND 0.075 Method Blank 2 Method Blank 1

Closing Acetonitrile Blank 1---------f--------t--------11 

### Opening Acetonitrile Blank 

# 1---------+---------1--------11

PQL

- Practical Quantitation Limit ND

- Not Detected

# ~~~;P. // Dr. Sucha Parmar

## (~ ---(') 

### <\ ( Technical Director .-



## Page 7
1534 Eastman Avenue • Suite A • Ventura, California 93003 

# (1) (805) 650-1642 • FAX (805) 650-1644

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### APPENDIX D

R026220 

### CALCULATIONS

0-1

### Appendix 0.1 General Emissions Calculations

R026220 D-2

### GENERAL EMISSION CALCULATIONS



### I. 

### Stack Gas Velocity A. Stack gas molecular weight, Ib/lb-mole 

### MW dry 

## = 

## 0.44 * %C0 2 

### + 

## 0.32 * %0 2 

### + 

## 0.28 * %N 2 

### MW wet 

# = MW dry 

### * 

### (1-B wo ) 

### + 18 * 

### B wo 

### B. 

### Absolute stack pressure, iwg 

## P P 

## = R 

### +

s bar 

### 13.6 C. Stack gas velocity, ftIsec


# v 

# = 2.9 * C 

# *.Ji1P * *



### s p 

### v's 

## 29.92 * 

## 28.95

II. Moisture A. 

### Sample gas volume, dscf 

### Vmstd 

# = 0.03342 *V rn 

### * (P bar 

### + 

### i1H)* Tref 

### *Y d 

### 13.6 T m 

### B. 

### Water vapor volume, scf 

## V 

# = 0.0472 * V, 

### * 

## T ref wstd Ie 

## 528 oR 

### C. Moisture content, dimensionless 

## Bwo 

# = (V rnstd 

### + 

## V wstd ) 

### III. Stack gas volumetric flow rate A. Actual stack gas volumetric flow rate, wacfm Q 

### = V * 

### A * 60 s s 

### B. Standard stack gas flow rate, dscfm Q Sd 

# = Q 

### * (1-B wo ) 

### * T ref 

### * P s 

## T

s 

## 29.92

R026220 

### 0-3

### IV. Gaseous Mass Emission Rates, Ib/hr 

### M 

# = ppm * MW j 

### * Q Sd 

### * 60 SV 

## * 10 6 

### V. Emission Rates, Ib/MMBtu 

### Ib

_ ppm*MW j 

### *F * 20.9 MMBtu

- SV*10 6 

### 20.9-%02
Nomenclature: 

### As 

# =stack area, fe Bwo 

# =flue gas moisture content, dimensionless C p 

### = pitot calibration factor, dimensionless F 

# = fuel F-Factor, dscf/MMBtu @ 0% O 2 

### H 

# =orifice differential pressure, iwg 

## M 

# = mass emission rate of specie i, Ib/hr MW 

### = molecular weight of flue gas, Ib/lb-mole MW j 

### = molecular weight of specie i: 80 2 : 

### 64 NO x: 

### 46 

### CO: 28 HC: 16 

### liP = average velocity head, iwg 

### = 

# (.J**~P)2** P bar 

### = barometric pressure, inches Hg P S 

# =stack absolute pressure, inches Hg P S9 

### = stack static pressure, inches H 2 

### 0 Q 

### = wet stack flow rate at actual conditions, wacfm Q sd 

### = dry standard stack flow rate, dscfm 8V 

# =specific molar volume of an ideal gas at standard conditions, fellb-mole T m 

# = meter temperature, oR T ref 

# = reference temperature, oR T s 

# = stack temperature, oR V s 

# = stack gas velocity, ftIsec Vic 

### = volume of liquid collected in impingers, ml V m 

# = uncorrected dry meter volume, dcf V mstd 

### = dry meter volume at standard conditions, dscf V wstd 

# = volume of water vapor at standard conditions, scf Y d 

# = meter calibration coefficient

R026220 

### 0-4

### Appendix 0.2 Specific Emissions Calculations

R026220 

### 0-5

### Emissions Calculations for Trace Species
A.2 Dioxins/Furans
1. ng/dscf 

# = ng/sample x 1Nm s td, 

### dscf


### 2. ng/dscm 

### = ng/sample x 1Nm std, 

### dscf x 35.31 dscf/dscm
3. Ib/hr 

# = ng/dscf x Ib/454 x 109 

### ng x Qsd, 

### dscfm x 

### 60 min/hr
Note: Reagent blanks are not subtracted from sample results.



### A.1 PAH or PCB
1. jlg/dscf 

# =j.1g/sample x 1Nm s td, 

### dscf
2. jlg/dscm 

# = j.1g/sample x 1Nm s td, 

### dscf x 35.31 dscf/dscm
3. Ib/hr 

# =j.1g/dscf x Ib/454 x 10 6 

### j.1g X Qsd, 

### dscfm x 

### 60 min/hr
Note: Reagent blanks are not subtracted from sample results.

R026220 

### 0-6

### Emissions Calculations for Trace Species

A. Metals
1. fl9/dscf 

# = flg/sample x 1Nm s td, dscf
2. fl9/dscm 

### = flg/sample x 1 Nmstd, dscf x 35.31 dscf/dscm


### 3. Ib/hr 

### = fl9/dscf 

### x Ib/454 x 10 6 

### fl9 X 

### Qsd, dscfm x 60 min/hr
Note: Reagent blanks can be subtracted from sample results. Reagent blank subtractions are made to individual sample fractions and cannot result in a value less than the detection limit.



### B. Hydrocarbons



### lblh 6 

### M.W.,ib/lb

- mole Q 

### d ,I. 

### 60 

### 'nlh 1. r=ppmxlO- x 3 

### x sd' 

### sCjmx IDl 

### r 

### SV, 

# ft lib

- mole

where m.w. = molecular weight of the hydrocarbon e.g. methane 

### (16.04), benzene 

### (78.11)



### C. Formaldehyde, Acetaldehyde and Acrolein


### 1.

2. fl9/dscf 

# = flg/train 

### x 1Nm s td, dscf
SV 

### ft 3 

### /1b

- mole 6 9 

### ppb=fllg/sample x' x 1Nm std ,dscf x 

### Ib/454 x 10 JJg x 10 M.W.,lb/lb-mole

where MW = molecular weight of formaldehyde 

### (30.03), acetaldehyde 

### (44.05) or acrolein 

### (56.06)


### 3. Ib/hr 

### = fl9/dscf 

### x Ib/454 x 106 

### fl9 X 

### Qsd, dscfm x 60 min/hr

Note: Field blanks are subtracted from sample results as per CARB 430.

R026220 0-7

### D. Hydrochloric Acid 

### 1.



## 2.

3. mg/dscf 

### = mg/train x 1 Nmstd,dscf
SVfe/lb

- mole ppm=mg/sample x ' x 1Nm std ,dscf 

### xlb/454 x 10 3 

### mg x 10 6 

### M.W 

### .,Ib/lb

- mole


### Ib/hr 

### = mg/dscf x Ib/454 x 10 3 

### mg x QSD, 

### dscfm x 60 min/hr

R026220 

### 0-8

### APPENDIX E

R026220 

### CHAIN OF CUSTODY

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### ATTACHMENT 5

NO2/NOX RATIOS FOR MODELING (EMAIL) STEVE MOORE NOVEMBER 13, 20061 

### Eric Walther

From: Desiena, Ralph <Ralph.Desiena@sdcounty.ca.gov> Sent: Tuesday, November 14, 2006 11:05 AM Subject: FW: NO2/NOx Ratios for Modeling Attachments: FW NO2 at Palomar Full load source test.txt; May startups 2006 Reg SU CEMS SDGERev.xls


## Ralph DeSiena
Air Pollution Meteorologist San Diego County Air Pollution Control

10124 Old Grove Rd. San Diego, CA 92131

858-586-2772 fax 858-586-2759 www.sdapcd.org

Celebrating 50 years of air quality progress!

_____________________________________________ From: Moore, Steve Sent: Monday, November 13, 2006 10:37 AM To: Desiena, Ralph Cc: Consolacion, Randy; Nguyen, Camqui; Annicch iarico, John; Weeks, Tom; Romelczyk, Stan Subject: NO2/NOx Ratios for Modeling Ralph,
Here is the NO2/NOx information I have fo r Palomar startups (see attached). We have data recorded from the facility's CEMS for four hot/warm (after overnight shutdown) startups in May and some District source test data for NO2 (actually NO) for one cold startup in July of this year. Based on the CEMS data, for the warm starts in May the highest average 1- hour value for the NO2/NOx ratio was about 35% in the exhauststack. SDG&E also had t heir source test van measure NOx during two of the startups and got slightly smaller valu es, about 30%. The highest 1-hour average NO2/NOx ratio at the inlet to the SCR during the startups was consistently over 75% with the high est value being 87%. This is the only information I have for the uncontrolled NO2/NOx ratio. Interestingly, the 1-hour average SCR inlet NO2/NOx ratio (but not total NOx) was much higher than the stack NO2/NOx ratio even when there was no ammonia flow to the SCR. This could be do to catalytic reduction of NO2 to NO (by CO, for example, which is also much higher during startups) in t he SCR or downstream heat exchang e components. However, it also is possible that the SCR inlet probe location (6' from the bottom of the 60' foot high HRSG duct) might result in measurements that are not representative of overall NO2/NOx in the exhaust at the inlet. The only way to rule out stratification at the SCR inlet would require additional measurements of NO2 and NOx at additional locations across the duct at the SCR inlet, which we currently do not plan to do. There was no significant stratification indicated for the exhaust stack NOx measurements during a full load source test.2 

### The data for NO2/NOx data for the July cold startup is much more limited. The District did not record NO2 (or NO) data from the facility's CEM, and the Distri ct NOx source test instrumentation, atthe time, could not simultaneously (on a minute-by-minute time scale) measure both NOx and NO2. Therefore, there is only NO2 information available for some portions of the startup. However, the NO2/NOx ratios app ear smaller than in the May hot/warm startups, although we are still checking over the data. Based on the information available for the Palomar plant, mypreliminary recommendation is to use a NO2/NOx ratio of 40% for startups with SCR in place and a NO2/NOx ratio of 100% for uncontrolled commissioning emissions as conservatively high estimates. Based on the most recent District source test for Palomar at full load (attached), my preliminary recommendation is to use 25% for the NO2/NO x ratio at full load as a conservatively high estimate.
Thanks.
Steve <<FW NO2 at Palomar Full load source test.txt>> <<May startups 2006 Reg SU CEMS SDGERev.xls>>

### ATTACHMENT 6

STARTUP EMISSIONS DATA AND ANALYSIS MAY 2006 PALOMAR ENERGY CENTER UNITS 1 AND 2DRAFTStartup Summary - May 2006Date Unit Time to reach Total NOx Stack Inlet Test Van - Stack Ammonia Injection2ppm NOx limit During StartupAverage 1-hr Average 1-hr Average 1-hr Average 1-hr Average 1-hr Average 1-hr Average 1-hr Average 1-hr Average 1-hr Average 1-hr Average 1-hr Average 1-hr Average 1-hr Average Average Average(minutes)(lbs)Exhaust Velocity Stack Temp Stack NOx Stack NO Stack Inlet NOx Inlet NO Inlet Average 1-hr Stack NOx Stack NO Stack Stack NOx Inlet NOx Stack NOx Inlet NOxNOx ControlEfficiency SCR Temp(m/s) (deg F) (lbs/hr) (lbs/hr) NO2/NOx (lbs/hr) (lbs/hr) NO2/NOx NOx Control Eff (lbs/hr) (lbs/hr) NO2/NOx (lbs/hr)(lbs/hr)(lbs/hr)(lbs/hr)(deg F)5/3/2006 CTG1 77187.4Maximum 17.0198.7 175.3 118.2 34% 167.4 42.0 82%14% 162.6 114.931% 00106.8133.920% 526Minimum 13.8181.0 88.6 60.4 31% 103.0 28.2 71%0%99.068.628%9 minute period 9 minute period 9 minute periodAverage 15.2193.9 139.0 94.1 32% 138.8 32.6 76%7%133.694.230%5/4/2006 CTG2 78208.7Maximum 15.9201.3 186.4 132.3 35% 190.2 36.7 87%11% 173.0 125.729% 22.147.543.169.138% 527Minimum 13.7191.1 113.7 86.9 24% 127.5 21.3 72%1%124.988.226%27 minute period 27 minute period 27 minute periodAverage 14.7198.4 155.0 110.5 28% 161.7 30.4 81%4%149.8 108.628%5/18/2006 CTG2 72136.8Maximum 15.9206.7 133.5 99.3 27% 178.3 36.0 86%34%92.2141.9124.4182.432% 510Minimum 13.7195.3 94.7 69.0 23% 135.8 19.6 77%25%44 minute period 44 minute period 44 minute periodAverage 14.7203.4 114.0 84.8 26% 158.0 29.5 81%28%5/23/2006 CTG1 80195.4Maximum 00 167.3 116.1 35% 196.9 60.4 75%21%00155.9208.825% 523Minimum 0065.4 80.9 29% 99.9 44.9 69%9%23 minute period 23 minute period 23 minute periodAverage 00 141.6 102.6 32% 168.9 50.9 71%15%

# DRAFT

Palomar Startup Summary - May 2006

Date Unit Time at 10% load NO2/NOx at 10% load (minutes)
5/3/2006 CTG1 14 35%

5/4/2006 CTG2 <3 min N/A

5/18/2006 CTG2 <3 min N/A

5/23/2006 CTG1 25 23%

# Air Dispersion Modeling Protocol Revised Supplemental NO 2 

# Air Quality Impact Analysis Avenal Energy Project Kings County, California

Submitted to: 

# U.S. Environmental Protection Agency, Region 9

prepared for: 

# Avenal Power Center, LLC

September 13, 2010

prepared by: Sierra Research, Inc. 1801 J Street Sacramento, California 95811 (916) 444-6666

## Air Dispersion Modeling Protocol Revised Supplemental NO 2

## Air Quality Impact Analysis Avenal Energy Project Kings County, California

Submitted to U.S. Environmental Protection Agency, Region 9

prepared for: Avenal Power Center, LLC

September 13, 2010

Principal author:

Eric Walther

Sierra Research, Inc. 1801 J Street Sacramento, CA 95811 (916) 444-6666

## Air Dispersion Modeling Protocol Revised Supplemental NO 2

## Air Quality Impact Analysis Avenal Energy Project

Table of Contents Page 1. Background................................................................................................................... 1 1.1 Purpose................................................................................................................. 1 1.2 Project Description............................................................................................... 1 1.3 Permit History...................................................................................................... 3 1.4 The New NO 2

### National Ambient Air Quality Standard ...................................... 3 2. Methodology................................................................................................................. 6 2.1 Overview of Methodology................................................................................... 6 2.2 AERMOD Modeling............................................................................................ 7 2.3 Receptor Grids ................................................................................................... 11 2.4 Data Requirements—Meteorological Data........................................................ 12 2.5 Data Requirements—Ambient Monitoring Data............................................... 22 2.6 Identification of Nearby Sources ....................................................................... 23 2.7 Combining Existing Ambient Air Quality Data with Modeled Impacts ........... 27 3. References................................................................................................................... 29

-i-

### List of Tables Page Table 1 Average Rainfall *

### (inches)...................................................................................13 Table 2 Potential Sources Considered for Inclusion in the 1-hour NO 2

### Impact Analysis....................................................................................................................... .26

List of Figures Page Figure 1 Locations of Project and Surface Meteorological Monitoring Station Avenal Energy Project ...................................................................................................2 Figure 2A Wind Rose for Hanf ord, CA – Calendar Year 2005........................................17 Figure 2B Wind Rose for Hanford, CA – Calendar Year 2006........................................18 Figure 2C Wind Rose for Hanford, CA – Calendar Year 2007........................................19 Figure 2D Wind Rose for Hanf ord, CA – Calendar Year 2008........................................20 Figure 2E Wind Rose for Hanford, CA – Calendar Year 2009........................................21

-ii-

# 1. BACKGROUND

1.1 Purpose On behalf of Avenal Power Center, LLC (APC, or Applicant), Sierra Research is submitting this modeling protocol to the U.S. Environmental Protection Agency (EPA) for the air dispersion modeling conducted for the revised supplemental nitrogen dioxide (NO 2

### ) air quality impact analysis submitted in support of the Avenal Energy Project (Project) Application for a Prevention of Significant Deterioration (PSD) Permit.



## 1.2 Project Description The Avenal Energy Project will be a combined-cycle 600-megawatt (MW) power generation facility consisting of two GE Energy Frame 7FA natural gas-fired turbinegenerators, a single condensing steam turbine generator (STG), air-cooled condenser, and associated balance-of-plant equipment. The facility includes the following:

• Two General Electric PG7241 (FA) combustion turbines (or equivalent), rated at 180 MW (nominal net, at site design conditions);
• Two heat recovery steam generators(HRSGs) equipped with duct burners;
• One natural gas-fueled auxiliary boiler;
• One natural gas-fueled emergency standby generator engine; and
• One Diesel-fueled emergency standby fire water pump engine.
The revised supplemental air quality impact analysis addresses proposed facility operation in the following modes:

• Baseload (100%) operation without duct firing;
• Baseload (100%) operation with duct firing; and
• Startup/shutdown operations, evaluated as an average 50% load operation without duct firing.
The facility will be located on a portion of a 148-acre site at the eastern edge of the city limits of Avenal, Kings County, California, adjacent to the San Luis Canal (see Figure 1).

-1-

### Figure 1 Locations of Project and Surface Meteorological Monitoring Station Avenal Energy Project

-2-

### Agricultural land uses currently occupy and surround the site. The location of the site is the following:

• Latitude: 36.088394° North
• Longitude: 120.061141° West or, in Universal Transverse Mercator (UTM) coordinates,

• Northing: 3,997.742 kilometers (km) and
• Easting: 764.616 kilometers (North American Datum [NAD] 27, Zone 10).
The nominal site elevation is 340 feet (104 meters) above mean sea level.



## 1.3 Permit History The following are key dates in the project’s permit history:

• February 15, 2008

−PSD and ATC permit applications submitted to EPA and SJVAPCD, respectively;
• March 19, 2008 – EPA issuedletter of completeness on the PSD application;
• October 30, 2008

−District FDOC issued; and
• June 16, 2009

−EPA draft PSD permit issued.
A full ambient air quality impact analysis demonstrating compliance with the 1-hour and 8-hour CO National Ambient Air Quality Standards (NAAQS), the 24-hour PM 2.5 

### NAAQS, and the annual average NO 2

### NAAQS was included in the February 2008 PSD application. The air dispersion modeling indicated that the project ’s impacts would not exceed the applicable Significant Impact Levels (SILs) for any of these pollutants or averaging periods. EPA confirmed this conclusion in their proposed approval of the PSD permit for the Project. a

### At the times that the application was submitted to EPA, accepted as complete by EPA, and proposed for approval by EPA, there was no hourly NO 2 

### NAAQS.



## 1.4 The New NO 2

## National Ambient Air Quality Standard On February 9, 2010, EPA revised the primary NO 2

### NAAQS, establishing a new onehour NO 2

### standard to supplement the existing annual standard. b

### The new standard became effective on April 12, 2010. It is a statistically based standard at a level of 100

a

### EPA. Statement of Basis and Ambient Air Quality Impact Report For a Clean Air Act Prevention of Significant Deterioration Permit, Avenal Energy Project PSD Permit Number SJ 08-01, June 16, 2009. b

### EPA. 40 CFR Parts 50 and 58, Primary National Ambient Air Quality Standards for Nitrogen Dioxide; Final Rule, Federal Register, Volume 75, No. 26, pp. 6474-6537, February 9, 2010.



### -3-

### ppb, based on the 3-year average of the 98 th

### percentile of the yearly distributiona

### of 1- hour daily maximum concentrations, and supplements the existing annual standard. 1 

### This protocol presents the analysis methodology used to determine whether the Avenal Energy Project would interfere with attainment or maintenance of the 1-hour NO 2 

### standard. Listed below in reverse chronological order are the guidance documents used to develop the methodology for this analysis.

• San Joaquin Valley Air Pollution Control District (SJVAPCDor District). Assessment of Non-Regulatory Options in AERMOD, Specifically OLM and PVMRM, August 19, 2010.

• SJVAPCD. Procedure for Determining NO2

### Monitor Background Values (Design Values) For Use in Calculating NAAQS Compliance, August 19, 2010.

• EPA. Guidance Concerning the Implementation of the 1-hour NO2

### NAAQS for the Prevention of Significant Deterioration Program, memorandum from Stephen D. Page, Director, Office of Air Quality Planning and Standards, to Regional Air Division Directors, June 29, 2010.

• EPA. Applicability of Appendix W M odeling Guidance for the 1-hour NO2 

### National Ambient Air Quality Standard, memorandum from Tyler Fox, Leader, Air Quality Modeling Group, to Regional Air Division Directors, June 28, 2010.

• EPA. General Guidance for Implementing the 1-hour NO2

### National Ambient Air Quality Standard in Prevention of Significant Deterioration Permits, Including an Interim 1-hour NO2

### Significant Impact Level, memorandum from Anna Marie Wood, Acting Director, Air Quality Policy Division, toRegional Air Division Directors, June 28, 2010.

• EPA. Notice Regarding Modeling for New Hourly NO2

### NAAQS, updated February 25, 2010.

• Federal Register, Volume 75, Number 26, Part III, Environmental Protection Agency, 40 CFR Parts 50 and 58, Primary National Ambient Air Quality Standards for Nitrogen Dioxide; Final Rule, Appendix S, pages 6532-6534, February 9, 2010.

• EPA. AERMOD Implementation Guide , January 2008.

• EPA. Guideline on Air Quality Models, published as Appendix W of 40 CFR Part 51, Federal Register, Volume 70, Number 216, November 9, 2005.

a

### The 98 th

### percentile is the 8 th

### highest measurement for a reasonab ly complete annual set of daily measurements (i.e., at least 351 valid days).



### -4-

### • EPA. Meteorological Monitoring Guidance for Regulatory Modeling Applications, report EPA 454/R-99-005, February 2000.

-5-

# 2. METHODOLOGY

2.1 Overview of Methodology The revised supplemental NO 2

### air quality impact analysis considers impacts from project emissions, any identified nearby sources which create significant concentration gradients in the impact area, and regional background concentrations. The NO 2 

### impacts in the study area from project and nearby sources are estimated using AERMOD and the Plume Volume Molar Ratio Method (PVMRM) for each hour in a five-year analysis period (2005–2009), based on recent, representative NO 2

### and O 3

### background air quality data, and representative meteorological data, obtained from the District’s website. The representative background NO 2

### concentration for each hour are added to the modeled NO 2

### impact from the Project (plus those from included nearby sources, if any) to determine the predicted NO 2

### concentration for each hour inthe analysis period, for each receptor. EPA has provided guidance 2

### on the use of AERMOD modeling results to calculate NO 2 

### design values for comparison to the new standard. This guidance forms the basis for the procedure that will be followed, as outlined below.

• For each day in the study period, the highest one-hour NO 2

### concentration is determined for each receptor in the modeling domain. a

### This is the daily maximum NO 2

### concentration.

• At each receptor, for each calendar year in the five-year analysis period, the 98 th 

### percentile daily maximum NO 2

### concentration is determined. Because EPA and District guidance are used to develop a complete annual data set (i.e., 365 valid days), the 98 th

### percentile corresponds to the 8 th

### highest daily maximum.

• At each receptor, the 98 th

### percentile daily maximum concentrations are averaged across the five-year period of available data.

a

### The February 2010 guidance is designed to determine the project’s design value, which is the 98 th 

### percentile of the project’s impact. When using a screening tool for compliance determination, this design value is added to highest background concentration to demonstrate compliance. Because it is a screening approach, it is designed to be cons ervative. The present analysis refine s the screening approach by pairing the modeled impacts with the corresponding measurements of background concentrations, and applying the guidance to the resulting total impact to demonstrate compliance.



### -6-

### • The five-year average 98 th

### percentile concentration across all receptors represents the modeled 1-hour NO 2

### concentration for comparison with the NAAQS.

• The final concentration is converted from μg/m3

### (the units used by AERMOD) to ppb (the units in the standard) using the ratio 100 μg/m3

### = 53 ppb (i.e., 100 ppbv = 188.7 μg/m3 

### ), following EPA guidance; the result is rounded to the nearest ppb and compared to the standard.



## 2.2 AERMOD Modeling The following EPA air dispersion models are used to quantify pollutant impacts on the surrounding environment based on the emission sources’ operating parameters and their locations:

• American Meteorological Society/Environmental Protection Agency Regulatory Model Improvement Committee (AERMIC)model, also known as AERMOD (Version 09292); and

• Building Profile Input Program – Plume Rise Model Enhancements (BPIP-PRIME, Version 04274). The original air dispersion modeling for the Project was conducted with AERMOD Version 07026, but the May 13, 2010 supplemental air dispersion modeling analysis 3

### and this revised supplemental analysis use AERMOD Version 09292. Apart from PVMRM, standard default AERMOD control parameters are used, including stack tip downwash, elevated terrain, and sequential meteorological data check. The modeled hourly NO 2 

### concentrations are limited by the available ozone according to the use of AERMOD with the PVMRM option. AERMOD without PVMRM is a dispersion model. It predicts ground-level concentrations based on the distribution of emissions from the sources being modeled. However, the NOx emitted at the stack is primarily a mixture of NO and NO 2 

### . If conversion of stack NO to NO 2

### in the atmosphere is not taken into account, the model will underpredict NO 2

### impacts. At the same time, if the unrealistic assumption is made that 100% of stack NO is converted to ground-level NO 2

### at all receptors—regardless of transport time, transport distance, or am bient ozone concentrations—the dispersion model will overpredict NO 2

### impacts. Conservative assumptions are initially used in compliance screening methodologies in order toassure compliance. As the compliance evaluation methodology becomes more sophisticated, the greater accuracy continues to assure compliance while allowing less conservative assumptions. EPA addresses this process, in the context of the 1-hour NO 2

### standard, through increasingly sophisticated (and less conservative) tiers of analysis. The regulatory default modeling methodologies for the 1-hour NO 2

### standard are screening methodologies. 4



### -7-

### Tier 1: Assume full conversion of NO to NO 2

### based on application of an appropriate refined modeling techniqueunder Section 4.2.2 of Appendix W to estimate ambient NOx concentrations. Tier 2: Multiply Tier 1 re sult by an empirically derived NO 2

### /NOx ratio, with 0.75 as the annual national default ratio (c alled the Ambient Ratio Method [ARM]).
Tier 3: Detailed screening methods may be consideredon a case-by-case basis, with the Ozone Limiting Method (OLM) identified as a detailed screening technique for point sources. PVMRM is also considered by EPA to be in this category at this time. 5



### Consistent with EPA guideline s, the District has issued more detailed guidance that provides a four-tier approach to modeling that tests compliance with the 1-hour NO 2 

### NAAQS. This tiered approach is described in detail below. 6


### 1. Tier I a. The maximum 1-hour NO 2

### concentration is modeled from all sources in a project using AERMOD, five years of meteorological data, and the assumption of complete conversion of NO to NO 2 

### . The maximum modeled concentration is added tothe representative background concentration provided by the District. i. If the maximum combined concentration is less than the 1-hour NO 2

### NAAQS, the analysis is complete and compliance with the standard has been demonstrated. ii. If the maximum combined concentration exceeds the 1-hour NO 2 

### NAAQS, then the maximum modeled concentration alone is compared to the interim SIL of 4 ppb. 1. If the maximum modeled concentration is less than the SIL, then the analysis is complete and compliance with the standard has been demonstrated. 2. If the maximum modeled concentration exceeds the SIL, then the analysis must continueas described next using an ARM value of 0.9 for the conversion of NO to NO 2 

### . b. The maximum 1-hour NO 2

### concentration is modeled from all sources in a project using AERMOD, five years of meteorological data, and the application of a default ARM value of 0.9 instead of complete conversion of NO to NO 2 

### . Again, the maximum modeled concentration is added to the representative background concentration provided by the District. i. If the maximum combined concentration is less than the 1-hour NO 2

### NAAQS, the analysis is complete and compliance with the standard has been demonstrated.

-8-

### ii. If the maximum combined concentration exceeds the 1-hour NO 2 

### NAAQS, then the maximum modeled concentration alone is compared to the interim SIL of 4 ppb. 1. If the maximum modeled concentration is less than the SIL, then the analysis is complete and compliance with the standard has been demonstrated. 2. If the maximum modeled concentration exceeds the SIL, then the analysis must continue as described next using AERMOD PVMRM or OLM. c. The maximum 1-hour NO 2

### concentration is modeled from all sources in a project using AERMOD PVMRM or OLM, and five years of meteorological data. The maximum modeled concentration is added to the representative background concentration provided by the District. i. If the maximum combined concentration is less than the 1-hour NO 2

### NAAQS, the analysis is complete and compliance with the standard has been demonstrated. ii. If the maximum combined concentration exceeds the 1-hour NO 2 

### NAAQS, then the maximum modeled concentration alone is compared to the interim SIL of 4 ppb. 1. If the maximum modeled concentration is less than the SIL, then the analysis is complete and compliance with the standard has been demonstrated. 2. If the maximum modeled concentration exceeds the SIL, then the analysis must continueas described next in Tier II. 2. Tier II: The Tier II method is identical to Tier I except that the 8 th

### highest modeled concentration replaces the maximum modeled concentration in the analysis. 3. Tier III: The 98th percentile 1-hour predicted concentration at each receptor is determined using the post-processor developed by the District, third-party software developers, a

### or an EPA-approved revised version of AERMOD. 4. Tier IV: The predicted 1-hour NO 2

### concentrations from the model are paired in time with the monitored 1-hour NO 2

### concentrations. The same approach as identified above for Tier III is used to calculate a final concentration to compare with the standard.
The Project’s May 13, 2010 submittal of the supplemental 1-hour NO 2

### air quality impact analysis used a Tier IV approach. The only difference between the May 13, 2010 submission and the revised submission addressed by this protocol is that more recent meteorological and background ozone and NO 2

### data have been prepared by SJVAPCD, and utilize an updated data substitution methodology that complies with EPA and District requirements. The District’s data substitution methodology uses a conservative procedure

a

### Sierra Research developed and used such a post-processor in preparing the May 13, 2010 submittal to EPA.



### -9-

### and results in a complete set of hourly data. 7

### SJVAPCD requires the use of this data set for compliance demonstrations submitted for its review. Under EPA’s interim guidance for evaluating compliance with the 1-hour NO 2

### NAAQS, the proposed SIL-equivalent isso low that almost any moderate-to-large combustion source will have difficulty passing a screening assessment. It is therefore necessary to use more sophisticated analytical tools, as provided for in EPA guidance. One such tool identified by both EPA and the District, and selected for use with the Project, is the PVMRM option within AERMOD. AERMOD-PVMRM has been tested specifically for its ability to compute unbiased results. One of the key studies was conducted on a large natural gas-fired power plant by a senior modeler currently in the EPA’s Office of Air Quality Planning and Standards. 8 

### The study concluded the following: “Based on all of the data available, the AERMODPVMRM algorithm is judged to provide unbiased estimates of the NO 2

### /NO x 

### ratio based on criteria that are comparable to, or more rigorous than, evaluations performed for other dispersion models that are judged to be refined.” In addition, the District conducted a caref ul review of both the PVMRM and OLM options in the implementation of AERMOD to demonstrate regulatory compliance of new sources. 9

### The District evaluation took into account, and described compliance of the PVMRM option with, the following five requirements 10

### for approval to use an “alternative refined model,” as PVMRM is defined by EPA: i. The model has received a scientific peer review; ii. The model can be demonstrated to be applicable to the problem on a theoretical basis; iii. The data bases which are necessary to perform the analysis are available and adequate; iv. Appropriate performance evaluations of the model have shown that the model is not biased toward underestimates; and v. A protocol on methods and procedures to be followed has been established. 11



### The District evaluation of AERMOD-PVMRM concluded the following: “Based on the information provided above, the District has determined that the method for determining hourly NO 2

### concentrations using AERMOD in c onjunction with the non-regulatory OLM or PVMRM options is acceptable based on the requirements in 40 CFR Part 51, Appendix W, 3.2.2(e)....” 12


### For all of the above reas ons, the PVMRM option within AERMOD is demonstrably applicable to a refined analysis of 1-hour average NO 2

### impacts from the Project on a theoretical basis. The District’s August 19, 2010 guidance approves use of this model, and the District has used it to determine that the proposed Avenal Energy Project would not interfere with attainment or maintenance of the 1-hour NO 2

### NAAQS. 13



### -10-

## 2.3 Receptor Grids Receptor and source base elevations will be determined from USGS Digital Elevation Model (DEM) data using the 71⁄2-minute format (10- to 30-meter spacing between grid nodes). The 71⁄2-minute data will first be converted to an XYZ text file format to allow the modeling software to adjust Zone 11 coordinates to Zone 10 coordinates. In situations where modeling beyond 10 km distance is performed, then coarser, 1 degree DEM files will be used for elevation data. These files can be used directly by Lakes Environmental software, since they are not referenced to a UTM Zone, but rather to longitude/latitude. All coordinates will be referenced to UTM North American Datum 1927 (NAD27), Zone 10. AERMOD receptor elev ations will be interpolated among the DEM nodes according to standard AERMAP procedure, and hill heights will be determined for the purpose of computing concentrations in elevated terrain. Nested Cartesian coordinate receptor grids are developed to provide adequate spatial coverage surrounding the project areafor assessing ground-level pollution concentrations, to identify the spatial extent of potentially significant impacts, and to identify maximum impact locations. The resolution and extent of each nested grid are as follows:

• 25-meter resolution along the facility fence line in a single tier of receptors composed of four segments extending out to 100 meters from the fence line;

• 100-meter resolution from 100 meters to 1,000 meters from the fence line;

• 250-meter resolution from 1 km out to approximately 10 km from the site; and

• 1,000-meter resolution from 10 km out to 50 km from the site.
When maximum first-high or maximum second-high impacts occur in the 100-, 250-, or 1,000-meter spaced areas, an additional refined receptor grid with 25-meter resolution is placed around each maximum coarse grid impact in the form of a rectangular area extending out to a distance of 1,000 meters (i.e.,four 250-meter coarse grid spacings). Concentrations within the facility fence line are not calculated. The following 7.5-minute USGS DEM quadrangles in California are employed for modeling the Project out toa distance of 10 km:

• Guijarral Hills;
• Huron;
• Westhaven;
• Avenal;
• La Cima;
• Kettleman City;

-11-

### • Garza Peak;
• Kettleman Plain; and
• Los Viejos.



## 2.4 Data Requirements—Meteorological Data The District has developed and posts on itswebsite five years of pre-processed meteorological data from its monitoring station at Hanford, CA, located 28 miles to the northeast of the project site (s ee Figure 1), and appropriate for use on this project with the model AERMOD. Data from the Hanford station 14

### have been processed by AERMET software, which formats the data for use inAERMOD. The modeling in the original February 2008 application and the May 13, 2010 supplemental analysis both used Hanford meteorological datafrom 2000-2004, while the revi sed air dispersion modeling for testing compliance with the 1-hour NO 2

### NAAQS uses more recent Hanford meteorological data from 2005-2009. As stated in our May 13, 2010 submittal, 3

### the District required use of, and the analysis used, meteorological data collected and prep ared by the District from their Hanford monitoring station. The District, not the applicant, preprocessed the meteorological data using AERMET for use in AERMOD. The May 13 submittal stated the following: “The surface characteristics appropriate for the land uses surrounding the meteorological station at Hanford—namelysurface roughness length, albedo, and Bowen Ratio—were computed by the District. The meteorological data set used for this analysis is unchanged from that used to develop the air quality impact analysis in the February 2008 PSD and FDOC permit applications.” The District provides the detailed surface characteristic information EPA requests for the Hanford meteorological station on pages 37-47 and 96 in Version 1.2 of its August 2006 “Guidance for Air Dispersion Modeling.” 15

### The District believes that the procedure and resulting surface characteristic information for AERMET “in the vicinity of the meteorological tower” described therein was fully compliant with EPA requirements existing in 2006 for the 2000-2004 meteorological data used in the project modeling and ambient air quality impact analysis 16

### contained in the originalFebruary 2008 application and in the May 13, 2010 supplemental NO 2

### air quality impact analysis. The meteorological data from Hanford during the mo st recently available five-year period of 2005-2009 were also processed by the District following all available guidance as listed above. The meteorological tower is located near the center of the north-northwest southsoutheast aligned runway. Roughly two-thirds of the area surrounding the tower is agriculture.
The District believes that the surface characteristics (surface roughness, albedo, and Bowen ratio) near the project site are similar to those around the meteorological tower because the area on and around the project site isagricultural in use, as is the dominant portion (i.e., two-thirds) of the area around the meteorological tower. The similarity between the two locations, in terms of the three basic parameters required by AERMET,

-12-

### increased for the processing of the more recent (i.e., 2005-2009) meteorological data provided by the District because EPA reducedthe radius for the evaluation of surface characteristics from the 3 km used in processing the original 2000-2004 meteorological data set to 1 km, which was used to pro cess the revised 2005-2009 meteorological data set. This reduction in radius removed from consideration much of the land use that was different between the two locations (i.e., suburban and urban land use). 17 

### Both locations (the Project site and the location of the meteorological data station) have similar seasonal distributions of rainfall as shown in Table 1, with the maximum monthly rainfall occurring in January and no monthly rainfall in July and August.

Table 1 Average Rainfall *

### (inches) Month Avenal** 

### Hanford*** 

### January 1.6 1,6 February 1.4 1.6

March 1.0 1.4 April 1.1 0.8 May 0.6 0.2 June 0.0 0.1 July 0.0 0.0 August 0.0 0.0 September 0.1 0.1

October 0.2 0.4 November 0.6 0.8 December 0.3 1.3 Year 6.9 8.4

*

### Correlation coefficient = 0.99
**

### Avenal rainfall data (National Climatic Data Center [NCDC] Cooperative Stations,1955-1961, http://www.worldclimate.com/cgibin/data.pl?ref=N35W120+2200+040398C).
***

### Hanford rainfall data (NCDC Cooperative Stations, 1931-1995, http://www.worldclimate.com/cgi-bin/data.pl?ref=N36W119+2200+043747C)


### Relative to the Hanford meteorological monitoring site, the climatology of Hanford and the Avenal Energy Project site are closely similar because of the following factors:
1. Both sites are in the same county (Kings County) and the same flat Central Valley, separated by only 28 miles.
2. Both sites are accurately described by the same climatology contained in the original February 2008 application submitted to the EPA, CEC and SJVAPCD, as follows:

-13-

### USEPA defines the term ‘on-site data’ to mean data that would be representative of atmospheric disper sion conditions at the source and at locations where the source may have a significant impact on air quality. Specifically, the meteorological data requirement originates in the Clean Air Act at Section 165(e)(1), which requires an analysis ‘of the ambient air quality at the proposed site and in areas which may be affected by emissions from such facility for each pollutant subject toregulation under [the Act] which will be emitted from such facility.’ This requirement and EPA’s guidance on the use of on-site monitoring data are also outlined in the “On-Site Meteorological Program Guidance for Regulatory Modeling Applications.” 18

### The representativeness of the data depends on (a) the proximity of the meteorological monitoring site to the area under consideration, (b) the complexity of the topography of the area, (c) the exposure of the meteorological sensors, and (d) the period of time during which the data are collected. The District’s Hanford meteorological data are representative of conditions at the project site relative to these four factors as follows: a) The meteorological monitoring station is28 miles from the project site on a flat valley; b) The topography at and between the two sites is flat; c) The meteorological sensors are located near the center of the northnorthwest/south-southeast aligned runw ay at the Hanford airport, giving them the same unobstructed exposure towind that would be experienced at the Project site; and The five years of meteorological data used in the original supplemental modeling submissions (2000-2004) were coincident with the ambient ozone data used therein. The first three years (2005-2007) of the five years (2005-2009) of meteorological data used in the revised modeling submittal are coincident with the ambient ozone and NO 2

### data monitored at Hanford. For the remaining two years (2008-2009), Visalia ozone and NO 2

### ambient data are used with Hanford meteorological data for the 1-hour NO 2

### analysis, as recommended by the District. 13 

### Representativeness has also been defined in the “Workshop on the Representativeness of Meteorological Observations” 19

### as “the extent to which a set of measurements taken in a space-time domain reflects the actual conditions in the same or different space-time domain taken on a scale appropriate for a specific application.” Representativene ss is best evaluated when sites are climatologically similar, as are the proj ect site and the Hanf ord meteorological monitoring station. Representativeness has additionally been defined in the PSD Monitoring Guideline20

### as data that characterize the air quality for the general area in which the proposed project would be constructed and operated. Because of the relative proximity of the Hanford meteorological data site to the proposed project site, the same large-scale topographic features that influence the

-14-

### meteorological data monitoring station also influence the proposed project site in the same manner. 21 

### Further to the climatological similarity of the project site and the meteorological monitoring site is the following climate information, taken from Section 6.2.1.2 of the February 2008 application: 22 

### The climate of the San Joaquin Valley is characterized by hot summers, mild winters, and small amounts of precipitation. The major climatic controls in the Valley are the mountains on three sides and the semi-permanent Pacific High pressure system over the eastern Pacific Ocean. The Great Basin High pressure system to the east also affects the Valley, primarily during the winter months. These synoptic scale influences result in distinct seasonal weather characteristics, as discussed below. The Pacific High is a semi-permanent s ubtropical high pressure system located off the Pacific Coast. It is cente red between the 140°W and 150°W meridians, and oscillates in a north-south direction seasonally. During the summer, it moves northward and dominates the regional climate, producing persistent temperature inversions and a predominantly southwesterly wind field. Clear skies, high temperatures, and low humidity characterizethis season. Precipitation rarely occurs during summer months, because migr ating storm systems are blocked by the Pacific High. Occasionally, however, tropical air moves into the area and thunderstorms may occur over the adjacent mountains. In the fall, the Pacific High weakens and shifts southwestward toward Hawaii, and its dominance is diminished in the San Joaquin Valley. During the transition period, the storm belt and zone of strong westerly winds also moves southward into California. The prevailing weather patterns during this timeof year include storm periods with rain and gusty winds, clear weather that can occur after a storm or because of the Great Basin High pressure area, or persistent fog caused by temperature inversion. The aver age annual rainfall at the site is approximately 7 inches, of which approximately 70% falls in the four months of December through March. Temperature, winds, and rainfall are more variable during the fall and winter months, but also stagnant conditions occur more frequently than during summer. (Clima tes of the States – California, U.S. Department of Commerce, Weather Bureau, 1959.) Wind and mixing height are two key meteorological parameters that govern the potential for air pollution problems. The predominant winds in California are shown in Figures 6.2-1 through 6.2-4. (TheUses of Meteorological Data in Large-Scale Air Pollution Surveys, Stanford Research Institute, 1958). As the figures indicate, winds in California are generally light and easterly in the winter, but strong and westerly in the spring, summer, and fall.

-15-

### Wind patterns in the general area of the project site are presented in Figures 6.2- 5a through 5y, which show annual and quarterly wind roses for the Hanford, California monitoring station. Hanford is approximately 28 miles northeast of the site, and is the closest station for air quality and meteorological monitoring (discussed in more detail in Sections 6.2.3 and 6.2.5, respectively. Approximately half of all winds come from the northwest quadrant, and calm winds occur approximately one-quarter of the time. [see Figures 2A through 2E] Concerning mixing heights, inland areas, where marine influence is weak or nonexistent, experience strong ground-bas ed inversions, which inhibit mixing and can result in high pollutant concentrations. An example case available from the central part of the San Joaquin Valley is Fresno. Smith, et al (1984), reported that at Fresno, 50th percen tile morning mixing heights for the period 1979-80 were 115-150 meters (approximately 375-495 feet) in the fall and winter, 230 meters (755 feet) in the spring, and 175 meters (575 feet) in the summer. Such low morning mixing heights trap pollutants, at least during the morning. The 50th percentile afternoon mixing heights, however, were unlimited in spring and summer, 1135 meters (3,725 feet) in the fall, and 630 meters (2,065 feet) in the winter. Such mixing heights provide generally favorable conditions for the dispersion of pollutants. The representativeness of the Hanford meteorological data was also justified in the discussion contained in the air dispersion modeling protocol submitted to Region 9 in August 2007. That analysis is summarized below. The meteorological data from the Hanford monitoring station are representative of conditions at the Project because the area is extremely flat both between the two locations and over a much larger area to the northwest and southeast along the alignment of the San Joaquin Valley. Air flow in the valley (including both locations) can be characterized by up -valley and down-valley winds. The downvalley winds are generally a result of air flow into the Valley from the Carquinez Strait and the Altamont Pass that then flow south. Strong diurnal wind regimes markedly affect the horizontal transport of air in the project area. This results in a pronounced north-northwest component tothe wind roses shown in Figures 2A through 2E for 2000-2004, respectively. [updated for 2005-2009 in Figures 2A through 2E herein] Modeling for each of the five years of available data23

### will not vary much because the meteorological data are so constant between the years. 24 

### Because of the relative proximity of the Hanf ord meteorological data site to the proposed project site, the same large-scale topographic features that influence the meteorological data monitoring station also influence the proposed project site in the same manner. The upper air data (from Oakland Metropolitan Airport, ID No. 23230) are necessarily representative of a large geographic domain because of the large distances between upper air meteorological monitoring stations. Thes e upper air data alsoreasonably represent conditions at the higher altitudes of plumes from large sources such as the proposed F-

-16-

### Class combustion gas turbines. Upper air data from the Oakland site were also used by the District in processing the Hanford meteorological data for use with AERMOD. This analysis, and the use of the Hanford station meteorological data as representative of the Project site, was accepted by EPA for purpos es of analysis of the Project’s impacts on the 1-hour and 8-hour CO standards, the 24-hour average PM 10

### standards, and the annual average NO 2

### standard. 25

### The same meteorological data that have been accepted as representative for these pollutants are also representative in the context of a 1-hour NO 2 

### standard.

Figure 2A Wind Rose for Hanford, CA – Calendar Year 2005

NORTH

SOUTH WEST EAST 4% 8% 12% 16% 20%

WIND SPEED (Knots)
>= 22 17 - 21 11 - 17 7 - 11 4 - 7 1 - 4 Calms: 33.54%



### -17-

### Figure 2B Wind Rose for Hanford, CA – Calendar Year 2006

NORTH

SOUTH WEST EAST 5% 10% 15% 20% 25%

WIND SPEED (Knots)
>= 22 17 - 21 11 - 17 7 - 11 4 - 7 1 - 4 Calms: 34.28%



### -18-

### Figure 2C Wind Rose for Hanford, CA – Calendar Year 2007

NORTH

SOUTH WEST EAST 5% 10% 15% 20% 25%

WIND SPEED (Knots)
>= 22 17 - 21 11 - 17 7 - 11 4 - 7 1 - 4 Calms: 34.10%



### -19-

### Figure 2D Wind Rose for Hanford, CA – Calendar Year 2008

NORTH

SOUTH WEST EAST 5% 10% 15% 20% 25%

WIND SPEED (Knots)
>= 22 17 - 21 11 - 17 7 - 11 4 - 7 1 - 4 Calms: 34.59%



### -20-

### Figure 2E Wind Rose for Hanford, CA – Calendar Year 2009

NORTH

SOUTH WEST EAST 5% 10% 15% 20% 25%

WIND SPEED (Knots)
>= 22 17 - 21 11 - 17 7 - 11 4 - 7 1 - 4 Calms: 35.31%



### -21-

## 2.5 Data Requirements—Ambient Monitoring Data
Ambient NO 2

### data collected during the three- year period of 2005-2007 at the Hanford monitoring station and during 2008-2009 at the Visalia monitoring station are used to characterize the representative ambient background concentrations. The ambient pollution levels monitored at the Hanford and Visalia monitoring stations represent areawide ambient conditions rather than the localized impacts of any particular facility due to the lack of any large local industrial sources in either area. Because the NO 2

### monitor was removed from the Hanford station before annually complete data could be collected for 2008 and 2009, the District recommends use of the NO 2

### monitoring data collected in Visalia during these last two years of the five-year dataset to be used in modeling. 26 

### Computation of hourly NO 2

### impacts from the Project also requires use of ambient monitored hourly O 3

### concentrations. The PVMRM adaptation of the Ozone Limiting Method27

### is used to determine the extent to which the NO emitted from the exhaust stacks is converted to NO 2

### when it reaches the ground. AERMOD PVMRM calculates the NO 2

### concentration using hourly O 3

### data. Hourly O 3

### data collected at the same Hanford monitoring station during the years 2005-2007 and during 2008-2009 at the Visalia monitoring station are used in conjunction with PVMRM to calculate hourly NO 2 

### concentrations from hourly NOx concentrations.
2.5.1 Data Substitution—Ozone Data substitution for missing hourly O 3

### and NO 2

### ambient monitoring data requires different data substitution procedures because the two data sets serve different purposes. The District substituted for missing hourly ambient O 3

### concentrations using the procedure described below. 28



### • If a single value was missing, the District interpolated between the values for the hour before and the hour after the hour of the missing value using the same procedure as that outlined by EPA 29

### for meteorological data.

• If multiple hours had missing values, the District substituted a value of 40 ppbv for missing data.

The District used, and recommended, the Visalia O 3

### monitoring data from 2008-2009 to supplement the Hanford O 3

### monitoring data from 2005-2007, soas to create a five-year dataset for use in modeling with AERMOD PVMRM. In doing so, the District adhered to its guidance as follows:

-22-

### 2.5.2 Data Substitution—NO 2 

### Unlike the O 3

### data that are used by the dispersionmodel to determine modeled impacts, the NO 2

### ambient data are used to establish the baseline ambient conditions for the Project impact area. As such, based on EPA guidance related to determinations of ambient monitoring compliance with the 1-hour NO 2

### NAAQS, 30

### the District performed data substitution for NO 2

### as follows: 9



### • If a single value was missing, the District interpolated between the values for the hour before and hour after the hour with the missing value using the same procedure as that outlined by EPA29

### for meteorological data.

• If multiple hours had missing values, the District set the value to the maximum 1- hour NO 2

### concentration recorded during the same quarter. The District’s data substitution approach results in a very conservative response to the issue of missing data. All hours with missing NO 2 

### values are treated as if the seasonal maximum concentration applied, regardless of time of day or meteorological conditions. 

## 2.6 Identification of Nearby Sources A screening process was used to identify potential nearby sources to be included in the 1- hour NO 2

### NAAQS analysis.That analysis was designed to identify sources that are not adequately represented by ambient NO 2

### concentrations monitored at Hanford, and must therefore be explicitly modeled. To determine whether any new sources had been approved, but not reflected in the ambient monitoring data, the District was requested31 

### to list all projects within 6 miles of the project site a

### “which received construction permits but are not yet operating, or are in the permitting process.” Sources with permitted emissions of less than 5 tons per year were also excluded. b

### No nearby sources were identified using this approach. In addition, to determine whether any existing sources should be explicitly modeled because they could potentially have significant impacts at the time and place that the project has significant impacts, but are not adequately represented by the ambient monitoring data, the following screening procedure was used.

a

### California Energy Commission. “ATTACHMENT B - ENERGY COMMISSION STAFF’S DATA ADEQUACY WORKSHEET for Air Quality,” Energy Facilities Siting Division, March 2007. The CEC has determined, based on its modeling experience, that there is no statistically significant concentration overlap for non-reactive pollutant concentrations between two stationary emission sources beyond six miles. See, for example, CEC, Hanford Energy Park Peaker Staff Report, Oct. 2009, p. 4.1-25. b

### CEC has determined, based on its modeling experience, that emission sources with emissions below 5 tons per year are unlikely to significantly contribute to cumulative air quality emission impacts. See, for example, CEC, Modesto Irrigation District Woodland Generation Station 2 Commission Decision , Sep. 2001, p. 4-24.



### -23-

### EPA has considered and accepted several methodsfor screening sources for inclusion in the NAAQS inventory. These are summarized in the meeting notes for an EPA/State/Local PSD Workshop held in New Orleans in May 2005. 32

### As discussed in the workshop notes: The concept of “significant concentration gr adient” is used to catch all instances not represented by “regional” monitored concentrations, added to the combined sources’ impacts to determine total im pacts, which could interact with the proposed source’s impacts. However, without some pr actical limitations, such gradients can occur anywhere in the “vicin ity” of the sources defined by the SIA and could lead to a large and, at times, unnecessary resource expenditures. Thus, in order to balance the need for identifying all sources which meet the criteria in the Guideline and also to achieve a workable inventory of sources, various permitting agencies have developed and used objective tools to assist in the determination of an emission inventor y. A 1992 EPA/States modelers workgroup considered some of these approaches and concluded that all such tools should be used by the reviewing authority on a case by case basis to compliment [sic] their professional judgment in developing an inventory of nearby sources. 32 

### We have applied the “20D method,” developed by North Carolina to screen sources for the inventory. The “20D Method” is oneof the earliest methods developed for identifying nearby sources with the potential to result in impacts not captured by regional monitoring. The method relies on a formul a derived as 20 times the distance to the source. The method suggests including those sources within the screening analysis for which Q > 20D, where Q is the maximum emissi on (in tons per year) for the source being screened, and, for short-term analyses, D is the distance (in kilometers) from the source being screened to the PSD source. For the purposes of this method, the source is defined as the facility or complex, not an individual stack or other emission point. We considered using the PSD definition of a significant emissions increase for NOx emissions (40 tons per year [tpy]) as a de minimisthreshold for excluding a source from consideration. However, we chose to use a much lower threshold of 5 tpy in order to be consistent with the CEC criteria for cumulative impact analyses, and to assure that the analysis was sufficiently conservative to address EPA’s concerns. This value is consistent with past guidance from EPA Region 9. 33 

### Emission sources were located using the California ARB CHAPIS web site (www.arb.ca.gov/chapis), which graphically displays all sources that met one or more of the following in 2001:

a. Sources that emitted at least 10 tons of VOC, NOx, SOx, CO, or PM 10 

### ; b. Power plants rated at 50 MW or greater; or c. Air Toxic “Hot Spots” facilities in the categories of (1) metal fabrication; (2) aerospace/electronics; and (3) chemical plants.

-24-

### ARB’s Facility Search Tool (http://www. arb.ca.gov/app/emsinv/facinfo/facinfo.php?dd) was used to determine whether any relevantsources in the 2008 inventory had been overlooked. The results of this analysis are shown in Table 2, which shows that there are no facilities both large enough and close enough to the project to be included in the NAAQS inventory. All sources are far enough away that it is unlikely that impacts will interact significantly with project’sshort term impacts.

-25-

### Table 2 Potential Sources Considered for Inclusion in the 1-hour NO 2

### Impact Analysis

Facility 2008 NOx Emissions (tpy) Distance from Project Site (km) Q/D (tpy/km) Include as Nearby Source? * 

### PG&E 25.2 3 8.4 No Avenal State Prison 9.3 14 0.7 No Los Gatos Tomato 9.7 13 0.7 No NAS Lemoore 30.9 24 1.3 No Shell Pipeline Co. 16.1 27 0.6 No Aera Energy LLC 66.6 29 2.3 No Coalinga Cogen 23.8 29 0.8 No Chevron USA Inc. 169.5 31 5.5 No Paramount Farms 11.0 34 0.3 No Del Monte Corporation 11.4 40 0.3 No Hanford L P 36.5 42 0.9 No Nichols Pistachio 5.8 43 0.1 No Samson Resources Company 15.7 42 0.4 No Sources > 50 km and < 100 km and > 100 tpy Madera County No sources San Benito County No sources Monterey County No sources Fresno County Guardian Industries 193.2 <3.9 No PPG Industries 280.9 <5.6 No Tulare County No sources Kern County AERA Energy 386.9 78 5.0 No Chevron USA 370.4 100 3.7 No Chevron USA 104.9 80 1.3 No Covanta Delano 169.9 84 2.0 No La Paloma Generating Co. 135.6 98 1.4 No Plains Exploration & Production 228.2 <4.6 No Rio Bravo Jasmin 140.6 62 2.3 No Rio Bravo Poso 143.9 62 2.3 No

*

### Sources are included as a nearby source if Q/D > 20, which is mathematically identical to Q > 20D.



### -26-

## 2.7 Combining Existing Ambient Air Quality Data with Modeled Impacts
Modeled concentrations are added to background NO 2

### concentrations to determine total concentrations for comparison with the new NAAQS using the procedure summarized below.

• As described above, the impacts of the project at each receptor in the study area and for each hour in the analysis period are modeled using AERMOD.

• The predicted total hourly NO 2

### concentration at each receptor is calculated by adding the modeled hourly project impact at the receptor to the corresponding hour NO 2

### concentration measured at the Hanford ambient air quality monitoring station for 2005-2007, and at the Visalia station for 2008-2009.

• Because the District NO 2

### data were processed acc ording to EPA guidance and four complete quarters are available, re sulting in each year being complete, the 98 th

### percentile daily maximum total hourly NO 2

### concentration is the 8 th

### highest value determined for that year for each receptor.

• At each receptor, the 98 th

### percentile daily maximum concentrations are averaged across the five-year period in the analysis period.

• From the field of receptors, the receptor with the highest five-year average is selected to represent the maximum total hourly NO 2

### concentration for the project impact area. This maximum total hourly NO 2

### concentration is converted from μg/m3

### to ppb using the annual NO 2

### NAAQS conversion ratio of 100 μg/m3

### = 53 ppb. The result is rounded to the nearest ppb and compared to the new one-hour NO 2

### NAAQS.
Sierra Research has developed a postprocessor in FORTRAN to perform these calculations. The postprocessor usesthe two following input files:

• AERMOD 1-hour average NO 2

### DAYTABLE a

### output file (processed with PVMRM); and
• Hourly ambient background NO 2

### concentrations (in units of μg/m3 

### ).
To allow the postprocessor to handle the large DAYTABLE output files for tens of thousands of receptors in the grids and the five years of hourly meteorological data, the postprocessor reads and processe s concentrations from both f iles in 24-hour blocks. The AERMOD output file is read, receptor by receptor, for each hour. Then the background

a

### The February 25, 2010 EPA “Notice Regarding Modeling for New Hourly NO 2

### NAAQS” suggests the same computational post-processing with the AERMOD-generated POSTFILE (http://www.epa.gov/scram001/no2_hourly_NAAQS_aermod_02-25-10.pdf). The AERMOD generated DAYTABLE and POSTFILE contain identical data, but in different formats.



### -27-

### concentration is read for that hour and added to the modeled concentration. Once the daily maxima are determined for each receptor for the entire year, two tables are generated. The first table calculated is the daily maxima for all receptors, and becomes the first output table from the postprocessor. The daily maxima for each receptor are sorted by the postprocessor through use of the HEAPSORT utility from Numerical Recipes. 34

### The second table is calculated, and output for the eight highest daily maximum concentrations for each receptor (tagged by Julian day) is generated. At each receptor, the 98 th

### percentile daily maximum concentrations are averaged across the five-year (2005-2009) analysis period. Examination of the second table yields the highest 8 th

### -highest concentration from among all the receptors, for comparison to the federal standard.

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# 3. REFERENCES

1. EPA, Federal Register, Volume 75, Number 26, Part III, 40 CFR Parts 50 and 58, Primary National Ambient Air Quality Standards for Nitrogen Dioxide; Final Rule, pages 6474-6533, February 9, 2010. 2. EPA, Notice Regarding Modeling for New Hourly NO 2

### NAAQS, Updated February 25, 2010. 3. Sierra Research. “Supplemental NO 2

### Air Quality Impact Analysis,” May 13, 2010. 4. EPA, Appendix W Section 5.2.4. See al so Memorandum from Anna Marie Wood, Acting Director, Air Quality Policy Division, to Regional Air Division Directors, “General Guidance for Implementing the 1-hour NO 2

### Standard in Prevention of Significant Deterioration Permits,” June 28, 2010, p.14. 5. Memorandum from Tyler Fox to Regional Air Division Directors, “Applicability of Appendix W Modeling Guidance for the 1-hour NO 2

### NAAQS,” June 28, 2010, p.2 6. San Joaquin Valley Air Pollution Control District. “Assessment of Non-Regulatory Options in AERMOD, Specifically OLM and PVMRM,” August 19, 2010. Appendix A, Modeling Protocol. 7. San Joaquin Valley Air Pollution Control District, “Procedure For Determining NO 2

### Monitor Background Values (Design Values) For Use in Calculating NAAQS Compliance,” August 19, 2010. 8. Brode, Roger W. “Final Report, Evaluation of Bias in AERMOD-PVMRM,” MACTEC report on Alaska Department of Environmental Conservation Contract No. 18-9010-12, June 2005. 9. San Joaquin Valley Air Pollution Control District. “Assessment of Non-Regulatory Options in AERMOD, SpecificallyOLM and PVMRM,” August 19, 2010. 10. EPA. “Guideline on Air Quality Models,” (40 CFR Part 51, Volume 70, Number 216, Appendix W), Section 3.2.2.e, November 9, 2005. 11. San Joaquin Valley Air Pollution Control District. “Assessment of Non-Regulatory Options in AERMOD, Specifically OLM and PVMRM,” pp. 2-6, August 19, 2010.

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### 12. San Joaquin Valley Air Pollution Control District. “Assessment of Non-Regulatory Options in AERMOD, Specifically OLM and PVMRM,” p. 5, August 19, 2010. 13. San Joaquin Valley Air Pollution Control District. Telephone conversation between Leland Villalvazo (Modeling Supervisor) and Eric Walther of Sierra Research, August 26, 2010. 14. San Joaquin Valley Air Pollution Control District. Meteorol ogical data from Hanford during 2005-2009, http://www.valleyair.org/busind/pto/Tox_Resources/2010_Modeling/hanford.htm. 15. San Joaquin Valley Air Pollution Control District. “Guidance for Air Dispersion Modeling,” Version 1.2, page s 37-47 and 96, August 2006. 16. The District informed Carol Bohnenkanp of EPA Region 9 about its methodology through several telephone conversations with Leland Villalvazo during the period of May through December 2006 (SJVAPCD. Email from Glenn Reed to Eric Walther of Sierra Research, August 30, 2010.) 17. San Joaquin Valley Air Pollution Control District. Telephone conversation between Leland Villalvazo and Eric Walther of Sierra Research, August 30, 2010. 18. EPA. “Supplement A to the Guideline on Air Quality Models (Revised),” Office of Air Quality Planning and Standards,Research Triangle Park, NC, 1987. 19. Nappo, C. J. et al. (1982). “The Workshop on the Representativeness of Meteorological Observations,” June 1981, B oulder, Co. Bull. Amer. Meteor. Soc., Vol. 63, No. 7, pp. 761-764. American Meteorological Society, Boston, MA. 20. EPA. “Ambient Monitoring Guidelines for Prevention of Significant Deterioration (PSD),” Office of Air Quality Planning and Standards, and Office of Research and Development, Research Triangle Park, NC, 1987. 21. Sierra Research. “Air Dispersion Modeling and Health Risk Assessment Protocol, Avenal Energy Project, Kings County, California,” Section 5, p. 5, August 2007. 22. Application to the U.S. EPA for a Prevention of Significant Deterioration Permit, Avenal Energy Project, Kings County, California. Section 6.2.1.2, pp. 6.2-2 through 6.2-4, February 2008. 23. San Joaquin Valley Air Pollution Control District. Hanford meteorological data in AERMOD-compatible format, http://www.valleyair.org/busind/pto/Tox_Resources/AirQualityMonitoring.htm 24. Sierra Research. “Air Dispersion Modeling and Health Risk Assessment Protocol, Avenal Energy Project, Kings County, California,” Section 4, p. 4, August 2007.

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### 25. EPA.” Statement of Basis and Ambient Air Quality Impact Report For a Clean Air Act Prevention of Significant Deterioration Permit,” Avenal Energy Project PSD Permit Number SJ 08-01, June 2009. 26. San Joaquin Valley Air Pollution Control District. Telephone conversation between Leland Villalvazo and Eric Walther of Sierra Research, August 26, 2010. 27. Cole, Henry S. and John E. Summerhays. “The Application of Reactive Plume Models to the Estimation of Short-Term NO 2

### Concentration,” presentation at the Annual Meeting of the Air Pollution Control Association, Houston, Texas, June 1978, and “A Review of Techniques Available for Estimating Short-Term NO 2 

### Concentrations,” Journal of the Air Pollution Control Association, Volume 29, Number 8, pages 812-817, August 1979. 28. San Joaquin Valley Air Pollution Control District. Email from Glenn T. Reed, Senior Air Quality Specialist, to Eric Walther of Sierra Research, August 23, 2010. 29. Atkinson, Dennis and Russell F. Lee. “EPA Guidance on Filling in Missing Data, Procedures for Substituting Values for Missing NWS Meteorological Data for Use in Regulatory Air Quality Models,” July 7, 1992. 30. Federal Register, Volume 75, Number 26, Part III, Environmental Protection Agency, 40 CFR Parts 50 and 58, “Primary National Ambient Air Quality Standards for Nitrogen Dioxide; Final Rule,” Appendix S, pages 6532-6533, February 9, 2010. 31. Sierra Research. Letter to Arnaud Marjollet, Manager, Permit Services, SJVAPCD, July 19, 2007. 32. PSD Modeling Workgroup. EPA/State/Local Workshop. New Orleans, May 17, 2005. 33. Memo Scott Bohning (EPA) to Mark Strehlow (URS), “CGS [Colusa Generating Station] Status Note,” October 3, 2007. 34. The HEAPSORT sorting routine is taken from Press, W.H., B.P. Flannery, S.A. Teukolsky, and W.T. Vetterling, “NumericalRecipes, The Art of Scientific Computing (FORTRAN Version),” Secti on 8.2, page 229, Cambridge University Press, New York, 1989.

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### ATTACHMENT 7

AIR DISPERSION MODELING PROTOCOL REVISED SUPPLEMENTAL NO2 AIR QUALITY IMPACT ANALYSIS
AVENAL ENERGY PROJECT