Factors analysis of PM2.5 emission reduction in Chinese thermal power industry based on LMDI model

International Conference on Energy Engineering and Environmental Protection 2017

能源学;生态环境科学

Jin, Yanming^1 ; Zhang, Xueting^2 ; Liu, Jun^1

State Grid Energy Research Institute, Beijing, 102209, China^1

Department of Economics Management, North China Electric Power University, No.689 Huadian Road, Baoding, China^2

关键词: Complete decomposition model;    Decomposition methods;    Electricity supply;    Emission reduction;    Energy-saving technologies;    Production capacity;    Reduction effects;    Scenario analysis;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/121/3/032021/pdf
DOI  :  10.1088/1755-1315/121/3/032021

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The Laspeyres index and its complete decomposition method are introduced to construct a complete decomposition model of PM2.5emission reduction in power industry. Based on the scenario analysis, the main driving factors of the emission reduction in the thermal power industry from 2007 to 2030 were studied. The results show that energy-saving technologies such as the elimination of backward production capacity and the implementation of emission reduction technologies have the greatest contribution to the management of haze in power industry, followed by the structural adjustment effect of large pressure and small structure. With the change of thermal power from the main electricity supply to the main capacity supply, the scale reduction effect will gradually appear after 2020.