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Multi-criteria group decision-making framework for offshore wind farm site selection based on the intuitionistic linguistic aggregation operators

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  • Gao, Jianwei
  • Guo, Fengjia
  • Ma, Zeyang
  • Huang, Xin
  • Li, Xiangzhen

Abstract

Offshore wind farms have been rapidly proposed owing to the promotion of sustainable development policies. Site selection contributes to the success of offshore wind farm projects and is a complex multi-criteria group decision-making problem. This paper proposes a multi-criteria group decision-making method based on the intuitionistic linguistic aggregation operators and applies it to the site selection decision-making process of offshore wind farm. To begin with, the intuitionistic linguistic numbers are introduced to deal with the uncertainty and fuzziness in decision-making. An optimization weighting model that comprehensively considers subjective and objective factors is then established, which can effectively reflect the correlations among the criteria. Furthermore, in view of the limited rational behavior of the decision-makers, an extended intuitionistic linguistic aggregation operator is defined, according to which the criteria values can be aggregated into a numerical value for comparison. Finally, a case study in China is conducted to verify the rationality and effectiveness of this method. The research results show that the offshore wind farm located in Laizhou, Dongying is the optimal site, and the ranking results of the alternatives are sensitive to the absolute risk aversion coefficient.

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  • Gao, Jianwei & Guo, Fengjia & Ma, Zeyang & Huang, Xin & Li, Xiangzhen, 2020. "Multi-criteria group decision-making framework for offshore wind farm site selection based on the intuitionistic linguistic aggregation operators," Energy, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:energy:v:204:y:2020:i:c:s0360544220310069
    DOI: 10.1016/j.energy.2020.117899
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    6. Hossein Yousefi & Saheb Ghanbari Motlagh & Mohammad Montazeri, 2022. "Multi-Criteria Decision-Making System for Wind Farm Site-Selection Using Geographic Information System (GIS): Case Study of Semnan Province, Iran," Sustainability, MDPI, vol. 14(13), pages 1-27, June.
    7. Hasan Eroğlu, 2021. "Multi-criteria decision analysis for wind power plant location selection based on fuzzy AHP and geographic information systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18278-18310, December.
    8. Paweł Ziemba, 2021. "Multi-Criteria Fuzzy Evaluation of the Planned Offshore Wind Farm Investments in Poland," Energies, MDPI, vol. 14(4), pages 1-19, February.
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    11. Bartłomiej Kizielewicz & Jarosław Wątróbski & Wojciech Sałabun, 2020. "Identification of Relevant Criteria Set in the MCDA Process—Wind Farm Location Case Study," Energies, MDPI, vol. 13(24), pages 1-40, December.
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