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Spherical Fuzzy Multicriteria Decision-Making Model for Wind Turbine Supplier Selection in a Renewable Energy Project

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  • Van Thanh Nguyen

    (Faculty of Commerce, Van Lang University, Ho Chi Minh City 70000, Vietnam)

  • Nguyen Hoang Hai

    (Faculty of Commerce, Van Lang University, Ho Chi Minh City 70000, Vietnam)

  • Nguyen Thi Kim Lan

    (International Education Institute, Van Lang University, Ho Chi Minh City 70000, Vietnam)

Abstract

The Vietnamese government has decided to use and promote the development of more renewable energy sources, particularly wind energy. When implementing a wind energy project, choosing a wind turbine supplier is an important decision and investors must find the optimal supplier through evaluating many qualitative and quantitative criteria that affect each other symmetrically. Therefore, the process used for selecting a wind turbine supplier in wind power projects is a multi-criteria decision-making process. Many approaches have been applied for this decision process, some of which are based on multicriteria decision-making (MCDM) methods, whether applied individually or in combination with other MCDM models. In this study, the researchers proposed a decision-making model based on spherical fuzzy sets for wind turbine supplier selection in wind power energy projects. In this paper, Vietnam is used as a case study. The recommended turbine suppliers for installations can finally be generated after the calculations in the final stage of this research. The contribution of this research is developing a fuzzy MCDM model for suitable turbine suppliers in wind power energy projects. The results of this study can be used as references for experts in deciding on a suitable wind turbine supplier in other countries as well as in other renewable energy projects.

Suggested Citation

  • Van Thanh Nguyen & Nguyen Hoang Hai & Nguyen Thi Kim Lan, 2022. "Spherical Fuzzy Multicriteria Decision-Making Model for Wind Turbine Supplier Selection in a Renewable Energy Project," Energies, MDPI, vol. 15(3), pages 1-12, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:713-:d:728266
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    References listed on IDEAS

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    1. Kumar, Abhishek & Sah, Bikash & Singh, Arvind R. & Deng, Yan & He, Xiangning & Kumar, Praveen & Bansal, R.C., 2017. "A review of multi criteria decision making (MCDM) towards sustainable renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 596-609.
    2. Lee, Hsing-Chen & Chang, Ching-Ter, 2018. "Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 883-896.
    3. Çolak, Murat & Kaya, İhsan, 2017. "Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 840-853.
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    Cited by:

    1. Li, Xia & Xu, Li & Cai, Jingjing & Peng, Cheng & Bian, Xiaoyan, 2024. "Offshore wind turbine selection with multi-criteria decision-making techniques involving D numbers and squeeze adversarial interpretive structural modeling method," Applied Energy, Elsevier, vol. 368(C).
    2. Krishankumar, Raghunathan & Pamucar, Dragan & Deveci, Muhammat & Aggarwal, Manish & Ravichandran, Kattur Soundarapandian, 2022. "Assessment of renewable energy sources for smart cities’ demand satisfaction using multi-hesitant fuzzy linguistic based choquet integral approach," Renewable Energy, Elsevier, vol. 189(C), pages 1428-1442.
    3. Baştuğ, Sedat & Haralambides, Hercules & Akan, Ercan & Kiraci, Kasim, 2023. "Risk mitigation in service industries: A research agenda on container shipping," Transport Policy, Elsevier, vol. 141(C), pages 232-244.
    4. Yu, Yang & Wu, Shibo & Yu, Jianxing & Xu, Ya & Song, Lin & Xu, Weipeng, 2022. "A hybrid multi-criteria decision-making framework for offshore wind turbine selection: A case study in China," Applied Energy, Elsevier, vol. 328(C).
    5. Bouraima, Mouhamed Bayane & Ayyildiz, Ertugrul & Badi, Ibrahim & Murat, Mirac & Es, Huseyin Avni & Pamucar, Dragan, 2024. "A decision support system for assessing the barriers and policies for wind energy deployment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).

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