Quantifying the Air Pollution Exposure Consequences of - Houston ...

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Monterey Regional Water Pollution Control Agency Mt. Poso San Antonio Community Hospital Lincoln Hanford Live Oak Figure 5. Locations of the six cogeneration plants that form part of the existing units category of cases. Live Oak and Mt. Poso are in such close proximity that their location markers (stars) overlap. (Location data from EPA, 2003b.) 20
21 Table 6. Characteristics relevant to air quality for the 25 central station existing units in 1999. eGRID Name NEI Name a County Capacity (MW) eGRID NEI (HAPs) eGRID eGRID AES Alamitos LLC Pittsburg Power Ormond Beach Generating Station Duke Energy Moss Landing LLC AES Redondo Beach LLC Duke Energy Morro Bay LLC Etiwanda Generating Station Encina El Segundo Power Duke Energy South Bay LLC Contra Costa Power Mandalay Generating Station 1: So Cal Edison Co 2: So Cal Edison; Alamitos Gen St 3: Alamitos 1: Southern Energy California, PI 2: Pittsburg SCE-Ormond Beach Gen Station 1: Duke Energy Moss Landing LLC 2: Moss Landing 1: So Cal Edison Co 2: Redondo Beach Fuel b NEI (criteria & HAPs) Los Angeles 2129 NG, Diesel Prime Mover c NOx Control Technology d Capacity Factor Efficiency e Generation (1000 MWh per y) eGRID eGRID eGRID eGRID eGRID ST(6), GT(1) BF(2), FR(2), LN(2) 0.18 32% 3,415 Contra Costa 2029 NG ST(7) NA(4), FR(3) 0.28 45% 5,041 Ventura 1500 NG ST(2) LN(2) 0.11 32% 1,478 Monterey 1404 NG, Residual Oil Los Angeles 1303 NG ST(8) ST(2) FR(2) 0.50 35% 6,119 BF(2), SR(2), NA(1) 0.12 33% 1,340 Morro Bay San Luis Obispo 1056 NG, Diesel ST(4) NA(2), OV(2) 0.33 34% 3,050 Etiwanda San Bernardino 1049 NG 1: Encina 2: Cabrillo Power I LLC Encina PO 1: El Segundo 2: So Cal Edison Co 1: Duke Energy-South Bay Power PL 2: SDG & E Co/South Bay Plant 3: South Bay 1: Contra Costa 2: Southern Energy California, CO 1: Mandalay Power Generation 2: SCE-Mandalay Gen Station San Diego 1000 NG, Diesel ST(4), GT(1) GT(1), ST(5) SN(2), FR(2) 0.12 31% 1,124 FR(5) 0.44 41% 3,989 Los Angeles 996 NG ST(4) BF(2), FR(2) 0.36 47% 3,133 San Diego 733 NG, Diesel, Kerosene, Residual Oil ST(4), GT(1) FR(2), OV(2) 0.28 32% 1,793 Contra Costa 718 NG ST(2) OV(2) 0.49 45% 3,102 Ventura 573 NG, Diesel, Residual Oil ST(2), GT(1) FR(1), BF(1) 0.25 35% 1,272 21
Page 1 and 2: Energy Development and Technology 0
Page 3: QUANTIFYING THE AIR POLLUTION EXPOS
Page 6 and 7: III.B Intake-to-Generation Ratio Re
Page 8 and 9: Figures Figure 1. Percentage of tot
Page 10 and 11: Figure 39. Interquartile box plots
Page 12 and 13: Table 25. Multiplicative factors to
Page 15 and 16: I. Introduction Electricity generat
Page 17 and 18: Table 1. Selected 2000 emission inv
Page 19 and 20: Parallel with this change have been
Page 21 and 22: 7 Table 3. Efficiencies and emissio
Page 23 and 24: other measures (Kyle et al., 2001).
Page 25 and 26: considering DG technologies and by
Page 27 and 28: production in 1999 in eGRID (i.e.,
Page 29 and 30: Table 4. Summary of the “existing
Page 31 and 32: Table 5. Summary of the hypothetica
Page 33: Marina Landfill Pebbly Beach Salina
Page 37 and 38: 23 Footnotes for Table 6 Data sourc
Page 39 and 40: 25 Table 8. Characteristics relevan
Page 41 and 42: San Francisco San Jose Los Angeles
Page 43 and 44: Natural Gas Internal Combustion Eng
Page 45 and 46: II.C Modeling Tools and Input Data
Page 47 and 48: density within the modeling domain.
Page 49 and 50: obstacles when released from small
Page 51 and 52: II.C.2 Meteorological Parameters Se
Page 53 and 54: Where possible, we used NREL’s TM
Page 55 and 56: Surface Station + RADIOSONDE STATIO
Page 57 and 58: Mixing Height (m) 0 1,000 2,000 3,0
Page 59 and 60: Mixing Height (m) 0 200 400 600 800
Page 61 and 62: II.C.2.c Atmospheric Stability Clas
Page 63 and 64: The US Census designates Urbanized
Page 65 and 66: 51 Table 12. Modeling designations,
Page 67 and 68: 53 Table 12. con’t eGRID Name Duk
Page 69 and 70: 55 Table 14. Modeling designations,
Page 71 and 72: Table 16. Modeling designations, em
Page 73 and 74: the same source. 21 When available,
Page 75 and 76: For each existing unit, emissions o
Page 77 and 78: The comparisons between case types
Page 79 and 80: generation technologies that we do
Page 81 and 82: Emission Factor (mg HCHO emitted /
Page 83 and 84: BACT Existing Central Station post-
Page 85 and 86:
II.C.5 Pollutant Data Two pollutant
Page 87 and 88:
II.D Modeled Parameters II.D.1 Inta
Page 89 and 90:
from 0 km to 100 km in the x-direct
Page 91 and 92:
III. Results and Discussion Differe
Page 93 and 94:
Annual-Average Intake Fraction (per
Page 95 and 96:
Page 97 and 98:
III.A.1.b Hypothetical DG Cases Fig
Page 99 and 100:
Page 101 and 102:
Page 103 and 104:
Page 105 and 106:
Page 107 and 108:
III.A.2 Results for Decaying Pollut
Page 109 and 110:
Page 111 and 112:
Table 19. Comparison of present res
Page 113 and 114:
III.B Intake-to-Generation Ratio Re
Page 115 and 116:
Annual-Average IGR (mg PM2.5 / MWh
Page 117 and 118:
Annual-Average IGR (mg PM2.5 / MWh
Page 119 and 120:
III.B.2 IGRs for Small-Scale DG Tec
Page 121 and 122:
Central Stations HypDG at City Hall
Page 123 and 124:
Dow ntow n DG equal to BACT at CS C
Page 125 and 126:
III.D Summary of Results The intake
Page 127 and 128:
Intake-to-Generation Ratio (mg/kWh
Page 129 and 130:
Table 22. Summary of results for th
Page 131 and 132:
Table 24. Summary of results for mi
Page 133 and 134:
IV. Conclusions Political and marke
Page 135 and 136:
modeling approach to achieve signif
Page 137 and 138:
VI. Acknowledgements Julian Marshal
Page 139 and 140:
http://www.arb.ca.gov/app/emsinv/em
Page 141 and 142:
EPA. 2000a. Compilation of Air Poll
Page 143 and 144:
INEGI. 2004. Twelfth General Census
Page 145 and 146:
Venkatram A, Upadhyay J, Yuan J, He
Page 147 and 148:
criteria pollutant air pollutant wh
Page 149 and 150:
inhalation exposure average polluta
Page 151 and 152:
secondary pollutant air contaminant
Page 153 and 154:
P population density (people m -2 )
Page 155 and 156:
2. Measured or modeled solar radiat
Page 157 and 158:
data, which were already deemed typ
Page 159 and 160:
A.2.1.4 Modifications Made to Radio
Page 161 and 162:
A.2.2.3 Maximum Missing Span Each t
Page 163 and 164:
A.3 Results This section contains t
Page 165 and 166:
Sacramento (WBAN 23232) Radiosonde
Page 167 and 168:
Arcata_Medford (WBAN 24283) Radioso
Page 169 and 170:
Santa Maria (WBAN 23273) Radiosonde
Page 171 and 172:
FSL/NCDC. 1997. Radiosonde CD Data
Page 173 and 174:
B.1.1 Buoyant Rise For F < 55 m 4 s
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