globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2017.08.046
Scopus记录号: 2-s2.0-85028769212
论文题名:
Air quality impacts of projections of natural gas-fired distributed generation
作者: Horne J; R; , Carreras-Sospedra M; , Dabdub D; , Lemar P; , Nopmongcol U; , Shah T; , Yarwood G; , Young D; , Shaw S; L; , Knipping E; M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 168
起始页码: 8
结束页码: 22
语种: 英语
英文关键词: Air quality modeling ; Distributed generation ; Ozone ; Particulate matter
Scopus关键词: Air quality ; Air quality standards ; Cogeneration plants ; Commerce ; Distributed power generation ; Gas emissions ; Natural gas ; Ozone ; Solar power generation ; Air quality modeling ; Ambient air quality standards ; Combined heat and power units ; Meteorological condition ; Natural gas combined cycles ; Particulate Matter ; Power generation systems ; Solar photovoltaics ; Space power generation ; natural gas ; air quality ; ambient air ; atmospheric pollution ; combined heat and power ; concentration (composition) ; electricity generation ; installation ; natural gas ; ozone ; particulate matter ; photovoltaic system ; pollutant source ; power generation ; air quality ; Article ; economic aspect ; exhaust gas ; generator ; power supply ; priority journal ; United States ; California ; New England ; New York [United States] ; United States ; United States
Scopus学科分类: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
英文摘要: This study assesses the potential impacts on emissions and air quality from the increased adoption of natural gas-fired distributed generation of electricity (DG), including displacement of power from central power generation, in the contiguous United States. The study includes four major tasks: (1) modeling of distributed generation market penetration; (2) modeling of central power generation systems; (3) modeling of spatially and temporally resolved emissions; and (4) photochemical grid modeling to evaluate the potential air quality impacts of increased DG penetration, which includes both power-only DG and combined heat and power (CHP) units, for 2030. Low and high DG penetration scenarios estimate the largest penetration of future DG units in three regions – New England, New York, and California. Projections of DG penetration in the contiguous United States estimate 6.3 GW and 24 GW of market adoption in 2030 for the low DG penetration and high DG penetration scenarios, respectively. High DG penetration (all of which is natural gas-fired) serves to offset 8 GW of new natural gas combined cycle (NGCC) units, and 19 GW of solar photovoltaic (PV) installations by 2030. In all scenarios, air quality in the central United States and the northwest remains unaffected as there is little to no DG penetration in those states. California and several states in the northeast are the most impacted by emissions from DG units. Peak increases in maximum daily 8-h average ozone concentrations exceed 5 ppb, which may impede attainment of ambient air quality standards. Overall, air quality impacts from DG vary greatly based on meteorological conditions, proximity to emissions sources, the number and type of DG installations, and the emissions factors used for DG units. © 2017 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82677
Appears in Collections:气候变化事实与影响

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作者单位: Computational Environmental Sciences Laboratory, Department of Mechanical & Aerospace Engineering, University of California Irvine, Irvine, CA, United States; Resource Dynamics Corporation, 6010 Executive Blvd, Suite 705, Rockville, MD, United States; Ramboll Environ, 773 San Marin Drive, Suite 2115, Novato, CA, United States; Electric Power Research Institute, 3420 Hillview Avenue, Palo Alto, CA, United States; Electric Power Research Institute, 1325 G St NW, Suite 1080, Washington DC, United States

Recommended Citation:
Horne J,R,, Carreras-Sospedra M,et al. Air quality impacts of projections of natural gas-fired distributed generation[J]. Atmospheric Environment,2017-01-01,168
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