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A decision framework of low-speed wind farm projects in hilly areas based on DEMATEL-entropy-TODIM method from the sustainability perspective: A case in China

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  • Wu, Yunna
  • Liao, Mingjuan
  • Hu, Mengyao
  • Lin, Jiawei
  • Zhou, Jianli
  • Zhang, Buyuan
  • Xu, Chuanbo

Abstract

The development of low-speed wind farms (LSWFs) has been recognized as the most promising option for onshore wind power project in the future. However, existing research on hilly LSWFs is still insufficient, and site selection is a vital in the construction of LSWF projects. This paper proposes a decision framework to provide investors with guidance for LSWF site selection in hilly areas. First, an indicator system that complies with the peculiarities of hilly LSWF projects has been established from the sustainability perspective. Second, the indicator data are collected by adopting hesitant fuzzy linguistic term sets (HFLTSs) to ensure the completeness of the data. Third, considering the impact of subjective preferences and objective fairness on the indicator weights, a method combining the extended triangular intuitionistic fuzzy number-decision making trial and evaluation laboratory (TIFN-DEMATEL) method and the entropy weight method for multiple data types is used to determine the indicator weights. Fourth, an acronym in Portuguese for interactive multi-criteria decision-making (TODIM), which takes the psychological characteristics of decision makers (DMs) into account, is applied to rank alternative sites. Finally, a case study in the eastern China is illustrated to demonstrate the rationality of the decision framework.

Suggested Citation

  • Wu, Yunna & Liao, Mingjuan & Hu, Mengyao & Lin, Jiawei & Zhou, Jianli & Zhang, Buyuan & Xu, Chuanbo, 2020. "A decision framework of low-speed wind farm projects in hilly areas based on DEMATEL-entropy-TODIM method from the sustainability perspective: A case in China," Energy, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:energy:v:213:y:2020:i:c:s0360544220321216
    DOI: 10.1016/j.energy.2020.119014
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