LAPSE:2018.1031
Published Article
LAPSE:2018.1031
Assessment of Air-Pollution Control Policy’s Impact on China’s PV Power: A System Dynamics Analysis
Xiaodan Guo, Dongxiao Niu, Bowen Xiao
November 27, 2018
Recently, China has brought out several air-pollution control policies, which indicate the prominent position that PV power hold in improving atmosphere environment. Under this policy environment, the development of China’s PV power will be greatly affected. Firstly, after analyzing the influencing path of air-pollution control policies on PV power, this paper built a system dynamics model, which can be used as a platform for predicting China’s PV power development in every policy scenario during 2015⁻2025. Secondly, different model parameters are put into the SD model to simulate three scenarios of air-pollution control policies. Comparisons between the simulated results of different policy scenarios measure the air-pollution control policy’s impact on China’s PV power in the aspect of generation, installed capacity, power curtailment and so on. This paper points out the long-term development pattern of China’s PV power under latest incentive policies, and provides reference for the policymakers to increase the effect and efficiency of air-pollution control policies.
Keywords
China’s photovoltaic power, full electricity price subsidy, national incentive policy, system dynamics
Suggested Citation
Guo X, Niu D, Xiao B. Assessment of Air-Pollution Control Policy’s Impact on China’s PV Power: A System Dynamics Analysis. (2018). LAPSE:2018.1031
Author Affiliations
Guo X: School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
Niu D: School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
Xiao B: School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
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Journal Name
Energies
Volume
9
Issue
5
Article Number
E336
Year
2016
Publication Date
2016-05-05
Published Version
ISSN
1996-1073
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PII: en9050336, Publication Type: Journal Article
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LAPSE:2018.1031
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doi:10.3390/en9050336
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Nov 27, 2018
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Nov 27, 2018
 
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Original Submitter
Calvin Tsay
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