Assessment method for the prevention effectiveness of PM2.5 based on the optimization development of coal-fired power generation

International Conference on Energy Engineering and Environmental Protection 2016

能源学;生态环境科学

Zheng, Kuan^1 ; Liu, Jun^1 ; Zhang, Jin-Fang^1 ; Hao, Weihua^2

State Grid Energy Research Institute, Beijing

102209, China^1

State Grid Shandong Electric Power Corporation Maintenance Company, Jinan

250118, China^2

关键词: Atmospheric environment;    Atmospheric pollution;    Coal-fired power generation;    Combustion of coal;    Computation analysis;    Emission sources;    Present situation;    Quantitative assessment methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/52/1/012076/pdf
DOI  :  10.1088/1742-6596/52/1/012076

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

A large number of combustion of coal is easy to lead to the haze weather which has brought a lot of inconveniences and threat to people's living and health in E&C China, as the dominant power source of China, the coal-fired power generation is one of the main sources to the haze. In this paper, the contribution of the combustion of coal and development of coal-fired power generation to the PM2.5emissions is summarized based on the analysis of the present situation, the mechanism and the emission source of PM2.5. Considering the peak of carbon emissions and the constraints of atmospheric environment, the quantitative assessment method of PM2.5by optimizing the development of coal-fired power generation is present. By the computation analysis for different scenarios, it indicates that the optimization scenario, which means the main new-installed coal-fired power generation is distributed in western and northern China, can prevent the PM2.5effectively for both the load center and coal base regions of China. The results of this paper not only have reference value for the optimized layout of coal-fired power generation in the "13rd fifth-year" power planning, also is of great significance to deal with problems that the atmospheric pollution and climate warming in the future.