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Research on Wind Power Project Risk Management Based on Structural Equation and Catastrophe Theory

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  • Suyan Zhao

    (School of Management, Hebei GEO University, Shijiazhuang 050031, China
    Natural Resource Asset Capital Research Center, Hebei GEO University, Shijiazhuang 050031, China)

  • Xiaopai Su

    (School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang 050031, China)

  • Jiahui Li

    (School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang 050031, China)

  • Guibin Suo

    (School of Management, Hebei GEO University, Shijiazhuang 050031, China
    Natural Resource Asset Capital Research Center, Hebei GEO University, Shijiazhuang 050031, China)

  • Xiaoxuan Meng

    (School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang 050031, China)

Abstract

Wind power projects are a crucial step towards achieving the objectives of “carbon neutrality” and “carbon peak” because they can improve the energy crisis and contribute towards environmental pollution reduction. However, the risks of wind power projects cannot be ignored, and the success of the design phase can affect the risks and benefits of wind power projects throughout their life cycle. This paper first proposes causality hypotheses for four types of risk factors in wind power projects: policy, economy, technology, and construction. It constructs a structural equation model for wind power project risk factors and then tests and modifies the model. Then, based on the latent variables of policy, economy, technology, and construction, and the relevant explicit variables, the risk index evaluation system of the wind power project design phase is constructed. The risk assessment catastrophe model of wind power projects is further established, and it is used to evaluate the risk of the K wind power project in the design phase. The risk assessment can identify the overall risk and main risk sources in wind power projects in the design phase and provide countermeasures for effectively controlling risks in wind power projects in China.

Suggested Citation

  • Suyan Zhao & Xiaopai Su & Jiahui Li & Guibin Suo & Xiaoxuan Meng, 2023. "Research on Wind Power Project Risk Management Based on Structural Equation and Catastrophe Theory," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6622-:d:1122993
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    References listed on IDEAS

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    1. Baode Li & Jing Li & Jing Lu, 2019. "Research on the Coupled Risk of Key Nodes in Maritime Transport Based on Improved Catastrophe Theory," Sustainability, MDPI, vol. 11(17), pages 1-21, August.
    2. Yu Chen & Guobao Song & Fenglin Yang & Shushen Zhang & Yun Zhang & Zhenyu Liu, 2012. "Risk Assessment and Hierarchical Risk Management of Enterprises in Chemical Industrial Parks Based on Catastrophe Theory," IJERPH, MDPI, vol. 9(12), pages 1-17, December.
    3. Anahita A. Jami & Philip R. Walsh, 2016. "Wind Power Deployment: The Role of Public Participation in the Decision-Making Process in Ontario, Canada," Sustainability, MDPI, vol. 8(8), pages 1-18, July.
    4. Gatzert, Nadine & Kosub, Thomas, 2016. "Risks and risk management of renewable energy projects: The case of onshore and offshore wind parks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 982-998.
    5. Zhang, Jie & Chowdhury, Souma & Messac, Achille & Castillo, Luciano, 2012. "A Response Surface-Based Cost Model for Wind Farm Design," Energy Policy, Elsevier, vol. 42(C), pages 538-550.
    6. Rabbani, Rabab & Zeeshan, Muhammad, 2022. "Impact of policy changes on financial viability of wind power plants in Pakistan," Renewable Energy, Elsevier, vol. 193(C), pages 789-806.
    7. Wu, Yunna & Zhang, Ting, 2021. "Risk assessment of offshore wave-wind-solar-compressed air energy storage power plant through fuzzy comprehensive evaluation model," Energy, Elsevier, vol. 223(C).
    8. Jui-Sheng Chou & Pin-Chao Liao & Chung-Da Yeh, 2021. "Risk Analysis and Management of Construction and Operations in Offshore Wind Power Project," Sustainability, MDPI, vol. 13(13), pages 1-18, July.
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    Cited by:

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