China's photovoltaic poverty alleviation power stations (PPAPS) properly combine poverty alleviation and renewable power generation while also meeting rural energy demands. The fundamental problem is how to optimize the benefits of PPAPS during its limited lifetime. Using the post-operation of photovoltaic poverty alleviation power plants as a starting point, this paper proposes a model combining real option theory and cooperative game to determine the ideal contract period of service committed by the government to the operation and maintenance (O&M) company, thus providing a reference for both parties. The model's validity and applicability are verified by incorporating a PPAPS from Henan Province in China as an example; ultimately, the factors influencing the O&M contract period are ranked using the Sobol global sensitivity analysis. The results show that when the solar industry's environment is positive, the government is more inclined to sign long-term contracts with O&M companies. In contrast, the more the government invests in the facilities, the more likely both parties will sign short-term contracts. Furthermore, the O&M company's capital investment in the power station has a direct impact on the contract period. Finally, corresponding policy recommendations are proposed for future O&M contracts.
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March 2023
Research Article|
April 21 2023
Determining the optimal operation and maintenance contract period of PV poverty alleviation projects based on real options and cooperative game: Evidence from rural China Available to Purchase
Qiyao Dai
;
Qiyao Dai
(Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft)
1
School of Economics and Management, China University of Geosciences, Wuhan
430074, China
Search for other works by this author on:
Liping Ding
;
Liping Ding
a)
(Funding acquisition, Investigation, Supervision, Writing – review & editing)
1
School of Economics and Management, China University of Geosciences, Wuhan
430074, China
2
Center for Energy and Environmental Management and Decision-making (CE2MD)
, China
University of Geosciences
, Wuhan 430074, China
a)Author to whom correspondence should be addressed: [email protected]
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Zumeng Zhang;
Zumeng Zhang
(Investigation, Resources)
1
School of Economics and Management, China University of Geosciences, Wuhan
430074, China
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Yuxuan Zhu;
Yuxuan Zhu
(Investigation, Methodology)
1
School of Economics and Management, China University of Geosciences, Wuhan
430074, China
Search for other works by this author on:
Yin Shi
Yin Shi
(Conceptualization, Formal analysis)
1
School of Economics and Management, China University of Geosciences, Wuhan
430074, China
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Qiyao Dai
1
Liping Ding
1,2,a)
Zumeng Zhang
1
Yuxuan Zhu
1
Yin Shi
1
1
School of Economics and Management, China University of Geosciences, Wuhan
430074, China
2
Center for Energy and Environmental Management and Decision-making (CE2MD)
, China
University of Geosciences
, Wuhan 430074, China
a)Author to whom correspondence should be addressed: [email protected]
J. Renewable Sustainable Energy 15, 023702 (2023)
Article history
Received:
November 14 2022
Accepted:
March 30 2023
Citation
Qiyao Dai, Liping Ding, Zumeng Zhang, Yuxuan Zhu, Yin Shi; Determining the optimal operation and maintenance contract period of PV poverty alleviation projects based on real options and cooperative game: Evidence from rural China. J. Renewable Sustainable Energy 1 March 2023; 15 (2): 023702. https://doi.org/10.1063/5.0134751
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