Sustainability assessment and decision making of hydrogen production technologies: A novel two-stage multi-criteria decision making method |
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| Affiliation: | 1. School of Chemistry and Chemical Engineering, National-Municipal Joint Engineering Laboratory for Chemical Process Intensification and Reaction, Key Laboratory of Low-grade Energy Utilization Technologies & Systems of the Ministry of Education, Chongqing University, Chongqing, 400044, China;2. Green Intelligence Environmental School, Yangtze Normal University, Fuling, Chongqing, 408100, China;1. Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa, 226-8503, Japan;2. Agency for the Assessment and Application of Technology (BPPT), Puspiptek Serpong, Tangerang Selatan 15314, Indonesia;3. Department of Mechanical Engineering, University of Indonesia, Depok, 16424, Indonesia;4. Institute of Innovative Research, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan;1. Faculty of Environmental Management, Prince of Songkla University, Songkhla 90110, Thailand;2. Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran;3. Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba''i University, Tehran, Iran;4. Community College, Mechanical Engineering Technology, University of Hafr Al Batin, Hafr Al Batin, Saudi Arabia;5. College of Engineering and Technology, American University of the Middle East, Kuwait;6. Faculty of Mechanics and Mathematics, Department of Mathematical and Computer Modelling, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan;7. Department of Mathematics and Cybernetics, Kazakh-British Technical University, Almaty 50000, Kazakhstan;8. Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, 90110 Songkhla, Thailand;1. Plant Engineering Center, Institute for Advanced Engineering, 175-28 Goan-ro, 51 Beon-gil, Baegam-myeon, Cheoin-gu, Yongin, 17180, South Korea;2. Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea;3. Korea Institute of Ocean Science & Technology, 385 Haeyang-ro, Yeongdo-gu, Busan, 49111, South Korea;1. State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;2. State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;3. Centre for Engineering Operations Management, Department of Technology and Innovation, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark;4. School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China;5. Department of Geography and Resource Management, The Chinese Univeristy of Hong Kong, Wong Foo Yuan Building 251a, Sha Tin, Hong Kong |
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| Abstract: | A novel two-stage multi-criteria decision making (MCDM) method is proposed with the aim to select the most sustainable hydrogen production technology (HPT) by considering the preference information on both attributes and alternatives. In the first stage of the method, the initial sustainability ranking of the alternative HPTs was achieved by using the FBWM (Fuzzy Best-Worst Method) to determine the weights of the criteria and the fuzzy TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method to prioritize the sustainability of alternative HPTs. While, in the second stage, a novel Preference Ranking Linear Programming Method (PRLPM) was used to acquire the final sustainability ranking according to the alternative preference information by following the principle of the outranking method. The proposed method was illustrated by a case study with 8 HTPs, demonstrating that the developed two-stage MCDM method can reflect the alternative preference of the decision-maker more accurately for selecting the most preferred alternative among various HTPs. |
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| Keywords: | Hydrogen production technology Fuzzy TOPSIS Fuzzy best-worst method Two-stage multi-criteria decision-making Preference information on alternatives |
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