DOI: 10.1016/j.atmosenv.2014.10.023
Scopus记录号: 2-s2.0-84908277754
论文题名: Unit-based emission inventory and uncertainty assessment of coal-fired power plants
作者: Chen L ; , Sun Y ; , Wu X ; , Zhang Y ; , Zheng C ; , Gao X ; , Cen K
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 99 起始页码: 527
结束页码: 535
语种: 英语
英文关键词: China
; Coal-fired power plant
; NOx
; PM2.5
; SO2
; Uncertainty assessment
; Unit-based emission inventory
Scopus关键词: China
; Coal-fired power plant
; Emission inventories
; SO<sub>2</sub>
; Uncertainty assessment
; coal
; atmospheric pollution
; coal-fired power plant
; emission inventory
; nitrogen oxides
; particulate matter
; sulfur dioxide
; uncertainty analysis
; air pollutant
; air pollution
; air pollution control
; Article
; China
; coal fired power plant
; denitrification
; desulfurization
; electric power plant
; energy consumption
; Monte Carlo method
; particle size
; particulate matter
; China
; Guangdong
; Qinghai
; Shandong
; Yangtze Delta
; Zhujiang Delta
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: A unit-based emission inventory of coal-fired power plants in China was developed which contains unit capacity, coal consumption, emission control technology and geographical location. Estimated total emissions of SO2, NOx, particulate matter (PM) and PM2.5 in 2011 were 7251kt, 8067kt, 1433kt and 622kt, respectively. Units larger than 300MW consumed 75% coal, while emitting 46% SO2, 58% NOx, 55% PM and 63.2% PM2.5. Emission comparisons between key regions such as the Yangtze River Delta, the Pearl River Delta and Shandong Province showed a general downward trend from 2005 to 2011, mainlybecause of the growing application ratio of desulphurisation, LNBs, denitration and dust-removal facilities. The uncertainties at unit level of SO2, NOx, PM and PM2.5 were estimated to be-10.1%~+5.4%,-2.1%~+4.6%,-5.7%~+6.9% and-4.3%~+6.5%, respectively. Meanwhile sector-based Monte Carlo simulation was conducted for better understanding of the uncertainties. Unit-based simulation yielded narrowed estimates of uncertainties, possibly caused by the neglected diversity of emission characteristics in sector-based simulation. The large number of plants narrowed unit-based uncertainties as large uncertainties were found in provinces with a small number of power plants, such as Qinghai. However, sector-based uncertainty analysis well depends on detailed source classification, because small NOx uncertainties were found in Shandong due to the detailed classification of NOx emission factors. The main uncertainty sources are discussed in the sensitivity analysis, which identifies specific needs in data investigation and field measures to improve them. Though unit-based Monte Carlo greatly narrowed uncertainties, the possibility of underestimated uncertainties at unit level cannot be ignored as the correlation of emission factors between units in the same source category was neglected. © 2014 Published by Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80806
Appears in Collections: 气候变化事实与影响
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作者单位: State Key Laboratory of Clean Energy Utilisation, Zhejiang University, Hangzhou, China
Recommended Citation:
Chen L,, Sun Y,, Wu X,et al. Unit-based emission inventory and uncertainty assessment of coal-fired power plants[J]. Atmospheric Environment,2014-01-01,99