Literature DB >> 29663295

A system dynamics model of China's electric power structure adjustment with constraints of PM10 emission reduction.

Xiaopeng Guo1,2, Dongfang Ren3, Xiaodan Guo4.   

Abstract

Recently, Chinese state environmental protection administration has brought out several PM10 reduction policies to control the coal consumption strictly and promote the adjustment of power structure. Under this new policy environment, a suitable analysis method is required to simulate the upcoming major shift of China's electric power structure. Firstly, a complete system dynamics model is built to simulate China's evolution path of power structure with constraints of PM10 reduction considering both technical and economical factors. Secondly, scenario analyses are conducted under different clean-power capacity growth rates to seek applicable policy guidance for PM10 reduction. The results suggest the following conclusions. (1) The proportion of thermal power installed capacity will decrease to 67% in 2018 with a dropping speed, and there will be an accelerated decline in 2023-2032. (2) The system dynamics model can effectively simulate the implementation of the policy, for example, the proportion of coal consumption in the forecast model is 63.3% (the accuracy rate is 95.2%), below policy target 65% in 2017. (3) China should promote clean power generation such as nuclear power to meet PM10 reduction target.

Keywords:  Air-pollution reduction policy; PM10; System dynamics; The adjustment of electric power structure

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Year:  2018        PMID: 29663295     DOI: 10.1007/s11356-018-1947-9

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  4 in total

1.  A non-linear analysis to detect the origin of PM10 concentrations in Northern Italy.

Authors:  Claudio Carnevale; Enrico Pisoni; Marialuisa Volta
Journal:  Sci Total Environ       Date:  2010-10-18       Impact factor: 7.963

2.  Optimal air quality policies and health: a multi-objective nonlinear approach.

Authors:  Helder Relvas; Ana Isabel Miranda; Claudio Carnevale; Giuseppe Maffeis; Enrico Turrini; Marialuisa Volta
Journal:  Environ Sci Pollut Res Int       Date:  2017-04-10       Impact factor: 4.223

3.  Allocation and simulation study of carbon emission quotas among China's provinces in 2020.

Authors:  Xing Zhou; Xueling Guan; Ming Zhang; Yao Zhou; Meihua Zhou
Journal:  Environ Sci Pollut Res Int       Date:  2017-01-16       Impact factor: 4.223

4.  Current and future emission estimates of exhaust gases and particles from shipping at the largest port in Korea.

Authors:  Sang-Keun Song; Zang-Ho Shon
Journal:  Environ Sci Pollut Res Int       Date:  2014-02-05       Impact factor: 4.223

  4 in total

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