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Dynamic subsidy model of photovoltaic distributed generation in China

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  • He, Yongxiu
  • Pang, Yuexia
  • Li, Xinmin
  • Zhang, Minhui

Abstract

The differences in resources between regions and the environmental benefit are not currently considered in the subsidy policy on the photovoltaic distributed generation in China. To promote a further development of distributed generation, this paper establishes dynamic subsidy models for photovoltaic distributed generation from the aspect of the emission reduction benefit, based on a dynamic generation cost simulation, which is combined with the learning curve of cost. For projects that their internal rate of return does not reach the basic rate, a certain proportion of the initial investment subsidy will be provided. The calculated results show that with the gradual progress of photovoltaic power generation technology, the emission reduction benefit subsidy will be reduced with the reduction of unit cost. Moreover, factors such as the resources level, the proportion of generation internal consumption by the project and subsidies, all have an important impact on the internal rate of return of photovoltaic distributed generation projects.

Suggested Citation

  • He, Yongxiu & Pang, Yuexia & Li, Xinmin & Zhang, Minhui, 2018. "Dynamic subsidy model of photovoltaic distributed generation in China," Renewable Energy, Elsevier, vol. 118(C), pages 555-564.
  • Handle: RePEc:eee:renene:v:118:y:2018:i:c:p:555-564
    DOI: 10.1016/j.renene.2017.11.042
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    References listed on IDEAS

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    5. Fuquan Zhao & Feiqi Liu & Han Hao & Zongwei Liu, 2020. "Carbon Emission Reduction Strategy for Energy Users in China," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    6. Ying Wang & Lidan Tian & Junrong Xia & Weishi Zhang & Kaifeng Zhang, 2020. "Economic Assessment of the Peer-to-Peer Trading Policy of Distributed PV Electricity: A Case Study in China," Sustainability, MDPI, vol. 12(13), pages 1-22, June.
    7. Xu, Xinkuo & Guan, Chengmei & Jin, Jiayu, 2018. "Valuing the carbon assets of distributed photovoltaic generation in China," Energy Policy, Elsevier, vol. 121(C), pages 374-382.
    8. D’Adamo, Idiano & Falcone, Pasquale Marcello & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "The economic viability of photovoltaic systems in public buildings: Evidence from Italy," Energy, Elsevier, vol. 207(C).
    9. Zhang, M.M. & Zhang, C. & Liu, L.Y. & Zhou, D.Q., 2020. "Is it time to launch grid parity in the Chinese solar photovoltaic industry? Evidence from 335 cities," Energy Policy, Elsevier, vol. 147(C).
    10. Xin-gang, Zhao & Yi-min, Xie, 2019. "The economic performance of industrial and commercial rooftop photovoltaic in China," Energy, Elsevier, vol. 187(C).
    11. Xin-gang, Zhao & Wei, Wang & Ling, Wu, 2021. "A dynamic analysis of research and development incentive on China's photovoltaic industry based on system dynamics model," Energy, Elsevier, vol. 233(C).
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