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

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generated (SB 1298, 1999). All new DG units installed after 2003 are required to meet<br />

<strong>the</strong> best performance achieved in practice by any DG technology. By 2007, CARB will<br />

require that all new DG units achieve parity with central stations equipped with <strong>the</strong> best<br />

available control technology (BACT 6 ) (CARB, 2002). In this way, CARB is seeking to<br />

make newly installed DG no worse for air quality in terms <strong>of</strong> emission factors than would<br />

be a new central station plant.<br />

Most prior research related to <strong>the</strong> environmental impact <strong>of</strong> DG has been aligned<br />

with CARB’s approach, focused on assessing <strong>the</strong> potential for increased air pollutant<br />

mass emissions into particular air basins or states from widespread deployment <strong>of</strong> DG<br />

(California: Iannucci et al., 2000; Allison and Lents, 2002. Texas: Hadley and Van Dyke,<br />

2003. Mid-Atlantic states: Hadley et al., 2003a; Hadley et al., 2003b. New York:<br />

Williams et al., 2003). The implicit assumption is that a given mass emitted from DG<br />

sources poses <strong>the</strong> same potential for adverse health consequences as an equal mass from<br />

central stations, an assumption our preliminary research has suggested is invalid (Heath<br />

et al., 2003). O<strong>the</strong>r recent research has been motivated by a concern for <strong>the</strong> ability <strong>of</strong><br />

localities, air basins and states to meet <strong>the</strong> National Ambient <strong>Air</strong> Quality Standards<br />

(NAAQS) and o<strong>the</strong>r mandates with increased use <strong>of</strong> DG. Medrano et al., (2003) used an<br />

Eulerian airshed model to predict primary and secondary criteria pollutant concentrations<br />

under different scenarios <strong>of</strong> widespread DG deployment in <strong>the</strong> South Coast <strong>Air</strong> Basin<br />

(SoCAB). Based on preliminary modeling, <strong>the</strong>y found that criteria pollutant<br />

concentrations could change both nonuniformly and nonintuitively throughout <strong>the</strong><br />

SoCAB, and could lead to significant concentration increases under certain deployment<br />

scenarios (Medrano et al., 2003; Samuelsen et al., 2003).<br />

An important factor in any assessment <strong>of</strong> <strong>the</strong> environmental impacts <strong>of</strong> DG is <strong>the</strong><br />

potential effects <strong>of</strong> DG emissions on population exposure to air pollutants. Central-station<br />

power plants emit pollutants from tall stacks, <strong>of</strong>ten remotely located from population<br />

centers. DG technologies emit <strong>the</strong>ir pollutants closer to <strong>the</strong> ground, typically in more<br />

densely populated regions. Closer proximity between emissions and people can cause<br />

greater exposures and <strong>the</strong>refore greater health risk from pollutant emissions, even if <strong>the</strong><br />

total mass emitted is unchanged.<br />

The aim <strong>of</strong> this report is to explore <strong>the</strong> effects <strong>of</strong> a shift in release location on<br />

human inhalation intake <strong>of</strong> pollutants emitted from baseload electricity generation<br />

facilities. We use this information to provide an estimate <strong>of</strong> <strong>the</strong> emission factors<br />

necessary for DG technologies to equalize <strong>the</strong> exposure burden <strong>of</strong> comparable central<br />

station facilities. To accomplish <strong>the</strong>se objectives, we use a common air dispersion<br />

modeling method to compare estimates <strong>of</strong> <strong>the</strong> annual-average population intake <strong>of</strong><br />

pollutants emitted from <strong>the</strong> two paradigms <strong>of</strong> electricity generation: distributed<br />

generation and central station. This study contributes to a better understanding <strong>of</strong> <strong>the</strong><br />

implications <strong>of</strong> a fundamental shift in <strong>the</strong> range and scale <strong>of</strong> technologies used to<br />

generate electricity. The results will also suggest fruitful directions for future research to<br />

substantiate and refine our findings. This research builds on <strong>the</strong> work <strong>of</strong> o<strong>the</strong>rs who have<br />

looked at <strong>the</strong> question <strong>of</strong> population intake from central stations (Levy et al., 2003; Li<br />

and Hao, 2003; Zhou et al., 2003; Evans et al., 2002; Levy et al., 2002a; Levy et al.,<br />

2003; Nigge, 2001; Smith, 1993). This report substantially extends <strong>the</strong>ir analyses by<br />

6 The same acronym, BACT, is used in <strong>the</strong> context <strong>of</strong> California and US regulations. Throughout this<br />

report, “BACT” refers to <strong>the</strong> California BACT standard.<br />

10

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