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A Multi-Criteria Framework for Sustainability Evaluation of Hydrogen-Based Multi-Microgrid Systems under Triangular Intuitionistic Fuzzy Environment

Author

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  • Zhiming Lu

    (School of Management, Lanzhou University, Lanzhou 730000, China)

  • Youting Li

    (State Grid Xianyang Electric Power Supply Company, Xianyang 712000, China)

Abstract

Developing hydrogen-based multi-microgrid systems (HBMMSs) is vital to the low-carbon energy transition, which can promote the utilization of renewable energy and reduce carbon emissions. However, there have been no studies presenting a sustainability evaluation of HBMSSs. Multi-attribute decision-making (MADM) methods are widely used to perform a sustainability evaluation. This paper develops a triangular intuitionistic fuzzy framework to make a comprehensive evaluation of HBMMSs from the perspective of sustainability. Firstly, a sustainability evaluation criteria system including economic, social, environmental, technical, and coordination criteria is established. Secondly, the paper proposes a hybrid fuzzy decision-making method. A triangular intuitionistic fuzzy decision-making trial and evaluation laboratory technique is used to analyze the correlation between criteria and sub-criteria and provides a basis for determining their fuzzy densities. A ranking method combining the triangular intuitionistic fuzzy number, fuzzy measure, and Choquet integral is used to rank the alternatives and choose an optimal one. Moreover, a case study is performed to validate the practicability of the developed framework. Finally, sensitivity analysis, scenario analysis, and comparative analysis are conducted to verify the robustness and effectiveness of the framework. As such, this study provides a guide for evaluating the sustainability of HBMMSs.

Suggested Citation

  • Zhiming Lu & Youting Li, 2023. "A Multi-Criteria Framework for Sustainability Evaluation of Hydrogen-Based Multi-Microgrid Systems under Triangular Intuitionistic Fuzzy Environment," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3708-:d:1071725
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    References listed on IDEAS

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    1. Kokkinos, Konstantinos & Nathanail, Eftihia & Gerogiannis, Vassilis & Moustakas, Konstantinos & Karayannis, Vayos, 2022. "Hydrogen storage station location selection in sustainable freight transportation via intuitionistic hesitant decision support system," Energy, Elsevier, vol. 260(C).
    2. Singh, Arashdeep & Basak, Prasenjit, 2022. "Conceptualization and techno-economic evaluation of municipal solid waste based microgrid," Energy, Elsevier, vol. 238(PB).
    3. Dong, Weiwei & Zhao, Guohua & Yüksel, Serhat & Dinçer, Hasan & Ubay, Gözde Gülseven, 2022. "A novel hybrid decision making approach for the strategic selection of wind energy projects," Renewable Energy, Elsevier, vol. 185(C), pages 321-337.
    4. Jahanbani Veshareh, Moein & Thaysen, Eike Marie & Nick, Hamidreza M., 2022. "Feasibility of hydrogen storage in depleted hydrocarbon chalk reservoirs: Assessment of biochemical and chemical effects," Applied Energy, Elsevier, vol. 323(C).
    5. Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
    6. Geng, Shuai & Lin, Lijun, 2018. "The extensible evaluation framework of urban green house gas emission reduction responsibility: A case of Shandong province in China," Energy, Elsevier, vol. 162(C), pages 171-184.
    7. Gao, Jianwei & Wang, Yaping & Huang, Ningbo & Wei, Lingli & Zhang, Zixuan, 2022. "Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making: A two-stage framework," Renewable Energy, Elsevier, vol. 201(P1), pages 1139-1162.
    8. Wang, Richard & Lam, Chor-Man & Hsu, Shu-Chien & Chen, Jieh-Haur, 2019. "Life cycle assessment and energy payback time of a standalone hybrid renewable energy commercial microgrid: A case study of Town Island in Hong Kong," Applied Energy, Elsevier, vol. 250(C), pages 760-775.
    9. Zhao, Huiru & Li, Bingkang & Lu, Hao & Wang, Xuejie & Li, Hongze & Guo, Sen & Xue, Wanlei & Wang, Yuwei, 2022. "Economy-environment-energy performance evaluation of CCHP microgrid system: A hybrid multi-criteria decision-making method," Energy, Elsevier, vol. 240(C).
    10. Grabisch, Michel, 1996. "The application of fuzzy integrals in multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 89(3), pages 445-456, March.
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