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A new decision model based on DEA and simulation to evaluate renewable energy projects under interval-valued intuitionistic fuzzy uncertainty

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  • Davoudabadi, Reza
  • Mousavi, Seyed Meysam
  • Mohagheghi, Vahid

Abstract

Energy plays a vital role in the development and well-being of any country. Finding the right energy projects and investing in them could lead to improving the overall condition of nations. Despite the importance of evaluation of energy projects, several factors complicate this issue. The efficiency of projects, reliability of assessments and uncertainty are some of the major issues in energy project evaluation. To simultaneously address all of these essential issues, this paper presents a new approach in renewable energy project evaluation based on the concepts of data envelopment analysis (DEA) and fuzzy simulation of interval-valued intuitionistic fuzzy sets (IVIFSs). The concept of DEA is developed, and a new approach based on introducing a new simulation method for IVIFSs is presented. Moreover, the approach is the last aggregation that avoids information loss. To illustrate the process of this approach, a case study from the literature is adopted and solved. A sensitivity analysis is carried out, and the results are displayed.

Suggested Citation

  • Davoudabadi, Reza & Mousavi, Seyed Meysam & Mohagheghi, Vahid, 2021. "A new decision model based on DEA and simulation to evaluate renewable energy projects under interval-valued intuitionistic fuzzy uncertainty," Renewable Energy, Elsevier, vol. 164(C), pages 1588-1601.
    • Handle: RePEc:eee:renene:v:164:y:2021:i:c:p:1588-1601
    DOI: 10.1016/j.renene.2020.09.089
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    2. Zhao, Lu-Tao & Liu, Zhao-Ting & Cheng, Lei, 2021. "How will China's coal industry develop in the future? A quantitative analysis with policy implications," Energy, Elsevier, vol. 235(C).
    3. Cui, Ye & E, Hanyu & Pedrycz, Witold & Fayek, Aminah Robinson, 2022. "A granular multicriteria group decision making for renewable energy planning problems," Renewable Energy, Elsevier, vol. 199(C), pages 1047-1059.
    4. Zheng, Xuejing & Yang, Xueqing & Miao, Hongfei & Liu, Huzhen & Yu, Yanzhe & Wang, Yaran & Zhang, Huan & You, Shijun, 2022. "A factor analysis and self-organizing map based evaluation approach for the renewable energy heating potentials at county level: A case study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    5. Shabani, Mohadeseh & Kordrostami, Sohrab & Jahani Sayyad Noveiri, Monireh, 2023. "Renewable energy performance analysis using fuzzy dynamic directional distance function model under natural and managerial disposability," Applied Energy, Elsevier, vol. 352(C).
    6. de Almeida, Liliane & Augusto de Jesus Pacheco, Diego & Caten, Carla Schwengber ten & Jung, Carlos Fernando, 2021. "A methodology for identifying results and impacts in technological innovation projects," Technology in Society, Elsevier, vol. 66(C).

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