Methodology to estimate particulate matter emissions from certified commercial aircraft engines.
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2009
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ISSN:1047-3289
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Edition:Volume 59; Jan. 2009
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NTL Classification:NTL-AVIATION-AVIATION ; NTL-AVIATION-Aviation Energy and Environment ; NTL-AVIATION-Aviation Planning and Policy ; NTL-ENERGY AND ENVIRONMENT-Aviation Energy and Environment ; NTL-ENERGY AND ENVIRONMENT-Air Quality ; NTL-ENERGY AND ENVIRONMENT-Environment Impacts
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Abstract:Today, about one-fourth of U.S. commercial service airports, ; including 41 of the busiest 50, are either in nonattainment ; or maintenance areas per the National Ambient ; Air Quality Standards. U.S. aviation activity is forecasted ; to triple by 2025, while at the same time, the U.S. Environmental ; Protection Agency (EPA) is evaluating stricter ; particulate matter (PM) standards on the basis of documented ; human health and welfare impacts. Stricter federal ; standards are expected to impede capacity and limit ; aviation growth if regulatory mandated emission reductions ; occur as for other non-aviation sources (i.e., automobiles, ; power plants, etc.). In addition, strong interest ; exists as to the role aviation emissions play in air quality ; and climate change issues. These reasons underpin the ; need to quantify and understand PM emissions from certified ; commercial aircraft engines, which has led to the ; need for a methodology to predict these emissions. Standardized ; sampling techniques to measure volatile and ; nonvolatile PM emissions from aircraft engines do not ; exist. As such, a first-order approximation (FOA) was derived ; to fill this need based on available information. ; FOA1.0 only allowed prediction of nonvolatile PM. ; FOA2.0 was a change to include volatile PM emissions on ; the basis of the ratio of nonvolatile to volatile emissions. ; Recent collaborative efforts by industry (manufacturers ; and airlines), research establishments, and regulators ; have begun to provide further insight into the estimation ; of the PM emissions. The resultant PM measurement datasets ; are being analyzed to refine sampling techniques and ; progress towards standardized PM measurements. These ; preliminary measurement datasets also support the continued ; refinement of the FOA methodology. FOA3.0 disaggregated ; the prediction techniques to allow for independent ; prediction of nonvolatile and volatile emissions ; on a more theoretical basis. The Committee for Aviation ; Environmental Protection of the International Civil Aviation ; Organization endorsed the use of FOA3.0 in February ; 2007. Further commitment was made to improve the ; FOA as new data become available, until such time the ; methodology is rendered obsolete by a fully validated ; database of PM emission indices for today's certified commercial ; fleet. This paper discusses related assumptions ; and derived equations for the FOA3.0 methodology used ; worldwide to estimate PM emissions from certified commercial ; aircraft engines within the vicinity of airports.
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