Electric Power ›› 2016, Vol. 49 ›› Issue (10): 136-141.DOI: 10.11930/j.issn.1004-9649.2016.10.136.06

• Information and communications • Previous Articles     Next Articles

Estimation of Environmental Protection Space Based on PM2.5 Contributions for Guangdong Thermal Power Generation in 2020

QIN Yun1, ZHENG Xiubo2, ZHU Wenbo3, LIN Yong1, ZHENG Junyu3, WANG Yanwei4   

  1. 1. Guangdong Power Grid Development Research Institute. Co., Ltd., Guangzhou 510080, China;
    2. Guangdong Power Grid Co., Ltd., Power Network Planning Research Center, Guangzhou 510080, China;
    3. School of Environment and Energy of South China University of Technology, Guangzhou 510080, China;
    4. Guangdong Power Grid Co., Ltd., Dispatching and Controlling Center, Guangzhou 510000, China
  • Received:2016-03-21 Online:2016-10-10 Published:2016-11-07

Abstract: Haze pollution caused by airborne fine particulates, typically PM2.5, has received lots of attention. In the Pearl River Delta area where the economy is growing very fast, the regional and complex air pollution characteristics are becoming increasingly evident. As the major emission source of electric power industry, the discharges from the thermal power plants have great impacts on the atmospheric environment. By analyzing the historic emission conditions and contributions of thermal power plants, under the constraints of the related policy control, the pollutant emission trends are predicted for not only thermal power plants but also the entire province of Guangdong in 2020. The contribution to fine particle pollution of thermal power plants is obtained by virtue of simulations based on CAMX (PSAT) model. Assuming that the contribution percentage is at the same level as that in 2012, and the average PM2.5 concentration complies to the national ambient air quality standard, the relationship between contribution percentage and generation capacity changes is established in consideration of the in-service and the planned power plant locations, thus the feasible installed capacity for new thermal power plant can be calculated for year 2020.

Key words: thermal power plant, atmospheric pollutant, PM2.5, environmental protection space estimation

CLC Number: