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A Risk Assessment Framework of Hybrid Offshore Wind–Solar PV Power Plants under a Probabilistic Linguistic Environment

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Listed:
  • Qinghua Mao

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Mengxin Guo

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Jian Lv

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Jinjin Chen

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Pengzhen Xie

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Meng Li

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

Abstract

Hybrid offshore wind–solar PV power plants have attracted much attention in recent years due to its advantages of saving land resources, high energy efficiency, high power generation efficiency, and stable power output. However, due to the project still being in its infancy, investors will face a series of risks. Hence, a multi-criteria group decision-making framework for hybrid offshore wind–solar PV power plants risk assessment is constructed in this paper. Firstly, 19 risk indicators are identified and divided into five groups. Secondly, probabilistic linguistic term sets are then introduced to evaluate the criteria values to depict uncertainty and fuzziness. Thirdly, the expert weight determination model is built by combining subjective and objective weights based on expert information, the entropy and interaction-entropy measures of probabilistic linguistic term sets. Fourthly, the expert evaluation information is aggregated by transforming probabilistic linguistic term sets into triangular fuzzy numbers based on generalized weighted ordered weighted averaging operator. Additionally, the risk level is determined using the fuzzy synthetic evaluation method. Finally, the proposed method is applied to a case study and the risk level is slightly high with the similarity measure result of 0.938. Then, the risk indicator system and corresponding countermeasures can provide scientific reference for investment decisions and risk prevention.

Suggested Citation

  • Qinghua Mao & Mengxin Guo & Jian Lv & Jinjin Chen & Pengzhen Xie & Meng Li, 2022. "A Risk Assessment Framework of Hybrid Offshore Wind–Solar PV Power Plants under a Probabilistic Linguistic Environment," Sustainability, MDPI, vol. 14(7), pages 1-29, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4197-:d:785130
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    as
    1. Nataliia Dotsenko & Dmytro Chumachenko & Igor Chumachenko & Andrii Galkin & Tomasz Lis & Marek Lis, 2021. "Conceptual Framework of Sustainable Management of the Process of Forming a Project Team with Functional Redundancy," Energies, MDPI, vol. 14(24), pages 1-22, December.
    2. Dai, Lijuan & Ehlers, Sören & Rausand, Marvin & Utne, Ingrid Bouwer, 2013. "Risk of collision between service vessels and offshore wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 18-31.
    3. Rui Lin & Guiwu Wei & Hongjun Wang & Xiaofei Zhao, 2014. "Choquet integrals of weighted triangular fuzzy linguistic information and their applications to multiple attribute decision making," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(5), pages 795-809, November.
    4. Waithiru Charles Lawrence Kamuyu & Jong Rok Lim & Chang Sub Won & Hyung Keun Ahn, 2018. "Prediction Model of Photovoltaic Module Temperature for Power Performance of Floating PVs," Energies, MDPI, vol. 11(2), pages 1-13, February.
    5. 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).
    6. Gao, Jianwei & Guo, Fengjia & Li, Xiangzhen & Huang, Xin & Men, Huijuan, 2021. "Risk assessment of offshore photovoltaic projects under probabilistic linguistic environment," Renewable Energy, Elsevier, vol. 163(C), pages 172-187.
    7. Hong, Lixuan & Möller, Bernd, 2012. "An economic assessment of tropical cyclone risk on offshore wind farms," Renewable Energy, Elsevier, vol. 44(C), pages 180-192.
    8. Dhunny, A.Z. & Doorga, J.R.S. & Allam, Z. & Lollchund, M.R. & Boojhawon, R., 2019. "Identification of optimal wind, solar and hybrid wind-solar farming sites using fuzzy logic modelling," Energy, Elsevier, vol. 188(C).
    9. Kayser, Dirk, 2016. "Solar photovoltaic projects in China: High investment risks and the need for institutional response," Applied Energy, Elsevier, vol. 174(C), pages 144-152.
    10. Wu, Yunna & Jia, Weibing & Li, Lingwenying & Song, Zixin & Xu, Chuanbo & Liu, Fangtong, 2019. "Risk assessment of electric vehicle supply chain based on fuzzy synthetic evaluation," Energy, Elsevier, vol. 182(C), pages 397-411.
    11. Mahmood Shafiee & Fateme Dinmohammadi, 2014. "An FMEA-Based Risk Assessment Approach for Wind Turbine Systems: A Comparative Study of Onshore and Offshore," Energies, MDPI, vol. 7(2), pages 1-24, February.
    12. Peng Li & Ju Liu & Cuiping Wei, 2020. "Factor relation analysis for sustainable recycling partner evaluation using probabilistic linguistic DEMATEL," Fuzzy Optimization and Decision Making, Springer, vol. 19(4), pages 471-497, December.
    13. Snyder, Brian & Kaiser, Mark J., 2009. "Ecological and economic cost-benefit analysis of offshore wind energy," Renewable Energy, Elsevier, vol. 34(6), pages 1567-1578.
    14. 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.
    15. Trapani, Kim & Millar, Dean L. & Smith, Helen C.M., 2013. "Novel offshore application of photovoltaics in comparison to conventional marine renewable energy technologies," Renewable Energy, Elsevier, vol. 50(C), pages 879-888.
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