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Evaluation and selection of sustainable hydrogen production technology with hybrid uncertain sustainability indicators based on rough-fuzzy BWM-DEA

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  • Mei, Mei
  • Chen, Zhihua

Abstract

This study is aiming to propose a framework integrating new criteria system, rough-fuzzy best-worst method (BWM) and rough-fuzzy data envelopment analysis (DEA) for evaluation and selection of sustainable hydrogen production technologies (HPTs) with hybrid types of sustainability indicators (i.e. quantitative and qualitative) and hybrid decision uncertainties (i.e. intrapersonal linguistic vagueness and interpersonal preference randomness). The rough-fuzzy BWM is presented to determine the relative weights of sustainability criteria and the rough-fuzzy DEA is proposed for prioritizing the alternative HPTs with hybrid types of performance data (including crisp number, interval number and group linguistic terms). Such integration combines the collaborative capability of rough-fuzzy number in fully manipulating hybrid uncertainties, the merits of BWM in quickly searching optimal weights and the advantages of DEA in effectively obtaining efficiency with multiscale input and output data. The application of the proposed approach to five typical HPTs with 14 hybrid uncertain sustainability indicators show that the wind-based electrolysis has the most sustainability priority (0.480) for hydrogen production compared with coal gasification (0.035), steam methane reforming (0.056), biomass gasification (0.246) and photovoltaic-based electrolysis (0.182). Moreover, the comparisons with other methods demonstrate the validity and effectiveness of the proposed approach.

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  • Mei, Mei & Chen, Zhihua, 2021. "Evaluation and selection of sustainable hydrogen production technology with hybrid uncertain sustainability indicators based on rough-fuzzy BWM-DEA," Renewable Energy, Elsevier, vol. 165(P1), pages 716-730.
    • Handle: RePEc:eee:renene:v:165:y:2021:i:p1:p:716-730
    DOI: 10.1016/j.renene.2020.11.051
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    Cited by:

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    2. Zhang, Ren-Long & Liu, Xiao-Hong, 2021. "Evaluating ecological efficiency of Chinese industrial enterprise," Renewable Energy, Elsevier, vol. 178(C), pages 679-691.
    3. Li Ling & Ran Anping & Xu Di, 2023. "Proposal of a hybrid decision-making framework for the prioritization of express packaging recycling patterns," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2610-2647, March.
    4. Mustapha D. Ibrahim & Fatima A. S. Binofai & Maha O. A. Mohamad, 2022. "Transition to Low-Carbon Hydrogen Energy System in the UAE: Sector Efficiency and Hydrogen Energy Production Efficiency Analysis," Energies, MDPI, vol. 15(18), pages 1-19, September.
    5. Torkayesh, Ali Ebadi & Alizadeh, Reza & Soltanisehat, Leili & Torkayesh, Sajjad Ebadi & Lund, Peter D., 2022. "A comparative assessment of air quality across European countries using an integrated decision support model," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    6. Zeyu Lin & Hamdi Ayed & Belgacem Bouallegue & Hana Tomaskova & Saeid Jafarzadeh Ghoushchi & Gholamreza Haseli, 2021. "An Integrated Mathematical Attitude Utilizing Fully Fuzzy BWM and Fuzzy WASPAS for Risk Evaluation in a SOFC," Mathematics, MDPI, vol. 9(18), pages 1-18, September.
    7. Anas A. Makki & Reda M. S. Abdulaal, 2023. "A Hybrid MCDM Approach Based on Fuzzy MEREC-G and Fuzzy RATMI," Mathematics, MDPI, vol. 11(17), pages 1-19, September.

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