Research on wind power project investment risk evaluation based on fuzzy-gray clustering trigonometric function

Under the goal of “Emission peak, carbon-neutral”, it has become an inevitable choice to build a new power system with new energy as the mainstay in the “14th Five-Year Plan” period. Wind power has become the hot spot of new energy development with its green, non-polluting, and renewable characteris...

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Bibliographic Details
Published in:Energy reports 2022-08, Vol.8, p.1191-1199
Main Authors: Qiao, Huiting, Wen, Shangyong, Wu, Liangzheng, Zeng, Bing
Format: Article
Language:English
Subjects:
Carbon-neutral
Emission peak
Fuzzy-gray clustering trigonometric function
Investment risk evaluation
Wind power projects
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Summary:Under the goal of “Emission peak, carbon-neutral”, it has become an inevitable choice to build a new power system with new energy as the mainstay in the “14th Five-Year Plan” period. Wind power has become the hot spot of new energy development with its green, non-polluting, and renewable characteristics. In this paper, the investment risk evaluation index system of wind power projects is constructed for the investment risk characteristics of wind power projects, and the fuzzy-gray clustering trigonometric function comprehensive evaluation model is used to study the investment risk of wind power projects in China. The research results show that the risk evaluation index system constructed in this paper is reasonable, the evaluation results are consistent with the actual, and the evaluation method can be used as a reference tool for wind power project investment decisions.
ISSN:2352-4847
2352-4847
DOI:10.1016/j.egyr.2022.02.222