Literature DB >> 30689944

Updated Hourly Emissions Factors for Chinese Power Plants Showing the Impact of Widespread Ultralow Emissions Technology Deployment.

Xiao Liu1, Xing Gao1, Xinbin Wu2, Weilin Yu1, Lulu Chen3, Ruijing Ni3, Yu Zhao4, Hongwei Duan2, Fuming Zhao2, Lilin Chen2, Shengming Gao2, Ke Xu1, Jintai Lin3, Anthony Y Ku1,5.   

Abstract

Nationwide severe air pollution has prompted China to mandate the adoption of ultralow emissions (ULE) control technologies at all of its coal-fired power plants by 2020. This process has accelerated greatly since 2014 and, combined with operational adjustments related to overcapacity, has reduced the emissions of nitrogen oxides (NO x), sulfur dioxide (SO2), and particulate matter (PM). Yet the quantitative understanding of ULE benefits is poor. Using detailed emissions data from 38 units at 17 power plants, corresponding to 10 combinations of ULE technologies representative of the Chinese power sector, we show that emissions factors for NO x, SO2, and PM are up to 1-2 orders of magnitude lower after ULE retrofitting. The effectiveness in cutting emissions shows a large spread across the various ULE technology combinations, providing an opportunity to choose the most efficient, economically viable technology (or a combination of technologies) in the future. The temporal variations in emissions at hourly resolution reveal the effects of power plant load on emissions, an increasingly important factor given that power plants are not operated at full capacity. These data will be useful in efforts to understand the evolving state of air quality in China and can also provide a basis for benchmarking state-of-the-art air pollution control equipment globally.

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Year:  2019        PMID: 30689944     DOI: 10.1021/acs.est.8b07241

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

1.  Location-specific co-benefits of carbon emissions reduction from coal-fired power plants in China.

Authors:  Pu Wang; Cheng-Kuan Lin; Yi Wang; Dachuan Liu; Dunjiang Song; Tong Wu
Journal:  Nat Commun       Date:  2021-11-29       Impact factor: 14.919

2.  Air pollution emissions from Chinese power plants based on the continuous emission monitoring systems network.

Authors:  Ling Tang; Xiaoda Xue; Jiabao Qu; Zhifu Mi; Xin Bo; Xiangyu Chang; Shouyang Wang; Shibei Li; Weigeng Cui; Guangxia Dong
Journal:  Sci Data       Date:  2020-10-05       Impact factor: 6.444

  2 in total

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