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Ultra-low-emission technology has been extensively applicated in China's thermal power industry. Accompanyed with it, the emission level of China's thermal power industry has undergone significant changes. Therefore, inventory emission factors and emissions in China's thermal power industry is unable to reflect the current situation of thermal power pollutant emissions. In this paper, a bottom-up method was proposed to establish China's thermal power industry emissions, which was based on the data of continuous emission monitoring systems (CEMS) for thermal power, environmental statistics and the data of pollutant emission permits. Compared with traditional way, the proposed new method was characterized by a more comprehensive consideration of the ultra-low-tech thermal power industry, the actual concentration of emissions and activity levels and other comprehensive factors. It is a concrete example. And accroding to the proposed the bottom-up method, this paper calculated high resolution power emission inventory for China based on CEMS in 2015 (HPEC). The results showed that in 2015, the average emission concentration values of SO2, NOx and particulate matter in different provinces are 7.88~208.57, 40.33~238.20 and 5.86~53.93mg/m3, respectively. Beijing and Shanghai had reached ultra-low emission requirements as a whole. In most provinces, the average concentrations values of SO2 and NOx online monitoring less than the average implementation of emission permits standards. The average emission factors of SO2, NOx and particulate matter (PM) for China's thermal power plants were 0.667, 0.764, 0.162g/kg of coal for coal-fired power plants, respectively. The emission performance values of CO, VOCs, SO2, NOx, PM10, PM2.5 were 1.06, 0.03, 0.32, 0.39, 0.08, 0.06g/(kW∙h), respectively. The emissions of that in 2015 were 4038.7, 107.3, 1229.4, 1466.8, 287.2, 228.0kt/a, respectively. © 2018, Editorial Board of China Environmental Science. All right reserved.
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Zhongguo Huanjing Kexue/China Environmental Science
ISSN: 1000-6923
Year: 2018
Issue: 6
Volume: 38
Page: 2062-2074
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WoS CC Cited Count: 0
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 9
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