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Sustainability performance assessment of wind power coupling hydrogen storage projects using a hybrid evaluation technique based on interval type-2 fuzzy set

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  • Wu, Yunna
  • Xu, Chuanbo
  • Zhang, Buyuan
  • Tao, Yao
  • Li, Xinying
  • Chu, Han
  • Liu, Fangtong

Abstract

The purpose of this study is to assess the performance of wind power coupling hydrogen storage projects from the perspective of sustainability. Firstly, an evaluation criteria system for sustainability performance assessment is established, which includes economic, environmental and social aspects. Then, the criteria performances of each alternative are determined by expert groups in the fields of energy economy, energy environment and society sciences. Later, considering the uncertainty in the decision-making, the interval type-2 fuzzy Analytic Hierarchy Process and the interval type-2 fuzzy Technique for Order Preference by Similarity to an Ideal Solution technique are employed to weight the criteria and sort the alternatives, respectively. Finally, a case study in Tibet autonomous, China is given to illustrate the effective of the proposed evaluation criteria and technique. The result shows the alternatives A4 gets the highest score. Moreover, the results of sensitivity analysis reveal that the alternative A4 always secures its top ranking when its weight is floating within a certain range. Meanwhile, the weight results show that the criteria of levelized cost of energy and poverty alleviation promotion should gain more attention. This research can offer references for investors to make investment decisions and for the government to make corresponding policies.

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  • Wu, Yunna & Xu, Chuanbo & Zhang, Buyuan & Tao, Yao & Li, Xinying & Chu, Han & Liu, Fangtong, 2019. "Sustainability performance assessment of wind power coupling hydrogen storage projects using a hybrid evaluation technique based on interval type-2 fuzzy set," Energy, Elsevier, vol. 179(C), pages 1176-1190.
    • Handle: RePEc:eee:energy:v:179:y:2019:i:c:p:1176-1190
    DOI: 10.1016/j.energy.2019.04.195
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    6. Yang, Shi-guan & Zhou, Jia-le & Hu, Zhuang & Zhou, Xin-yue & Cai, Qi & Xie, Jin-heng & Wu, Yang-wen & Lu, Qiang, 2023. "Site selection decision framework for biomass pyrolysis project based on a mixed method under probabilistic linguistic environment and low carbon perspective: A case study in China," Energy, Elsevier, vol. 272(C).
    7. Xu, Chuanbo & Wu, Yunna & Dai, Shuyu, 2020. "What are the critical barriers to the development of hydrogen refueling stations in China? A modified fuzzy DEMATEL approach," Energy Policy, Elsevier, vol. 142(C).
    8. Wu, Yunna & Liu, Fangtong & Wu, Junhao & He, Jiaming & Xu, Minjia & Zhou, Jianli, 2022. "Barrier identification and analysis framework to the development of offshore wind-to-hydrogen projects," Energy, Elsevier, vol. 239(PB).
    9. Zhao, Tian & Liu, Zhixin & Jamasb, Tooraj, 2022. "Developing hydrogen refueling stations: An evolutionary game approach and the case of China," Energy Economics, Elsevier, vol. 115(C).
    10. Zhao, Chengxuan & Yang, Xiao & Yu, Jie & Yang, Minghan & Wang, Jianye & Chen, Shuai, 2023. "Interval type-2 fuzzy logic control for a space nuclear reactor core power system," Energy, Elsevier, vol. 280(C).
    11. Zhang, Lihui & Zhao, Zhenli & Yang, Meng & Li, Songrui, 2020. "A multi-criteria decision method for performance evaluation of public charging service quality," Energy, Elsevier, vol. 195(C).
    12. Qin, Guangyu & Zhang, Meijuan & Yan, Qingyou & Xu, Chuanbo & Kammen, Daniel M., 2021. "Comprehensive evaluation of regional energy internet using a fuzzy analytic hierarchy process based on cloud model: A case in China," Energy, Elsevier, vol. 228(C).
    13. Roman Vavrek & Jana Chovancová, 2020. "Energy Performance of the European Union Countries in Terms of Reaching the European Energy Union Objectives," Energies, MDPI, vol. 13(20), pages 1-16, October.
    14. Yuan, Jiahang & Luo, Xinggang & Li, Zhendong & Li, Lingfei & Ji, Pengli & Zhou, Qing & Zhang, Zhongliang, 2021. "Sustainable development evaluation on wind power compressed air energy storage projects based on multi-source heterogeneous data," Renewable Energy, Elsevier, vol. 169(C), pages 1175-1189.
    15. Liqi Yi & Tao Li & Xiangyi Wang & Gentana Ge & Ting Zhang, 2022. "Corporate social responsibility performance evaluation from the perspective of stakeholder heterogeneity based on fuzzy analytical hierarchy process integrated TOPSIS," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(4), pages 918-935, July.
    16. Dhiman, Harsh S. & Deb, Dipankar, 2020. "Fuzzy TOPSIS and fuzzy COPRAS based multi-criteria decision making for hybrid wind farms," Energy, Elsevier, vol. 202(C).

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