TY - JOUR
T1 - Multi-criteria sustainability assessment and decision-making framework for hydrogen pathways prioritization: An extended ELECTRE method under hybrid information
AU - Lin, Ruojue
AU - Lu, Shengfang
AU - Yang, Ao
AU - Shen, Weifeng
AU - Ren, Jingzheng
N1 - Funding Information:
The work described in this paper was supported by the grant from the Research Committee of The Hong Kong Polytechnic University under student account code RK22 and was also supported by the Hong Kong Research Grants Council for Early Career Scheme (Grand No. 25208118 ) and the Joint Supervision Scheme with the Chinese Mainland, Taiwan and Macao Universities - Other Chinese Mainland, Taiwan and Macao Universities (Grant No. SB2S ).
Publisher Copyright:
© 2021 Hydrogen Energy Publications LLC
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/4/6
Y1 - 2021/4/6
N2 - Hydrogen has been received more and more attentions because of its advantage in terms of low environmental impact and high energy density. However, the sustainability priorities of different hydrogen production pathways have not been determined. To assist the sustainability-oriented selection of hydrogen production pathways, a prioritization framework needs to be built. However, the data collected from different sources consisting of hybrid information, such as crisp numbers, interval numbers, and fuzzy numbers, increases the difficulty of sustainability-oriented decision-making. Therefore, this study aims to develop a sustainability prioritization framework for hydrogen production pathways under hybrid information. The Z-number Best Worst Method (ZBWM) is applied to quantify the weight of each criterion from the views of decision-makers in the forms of Z-number. The ELECTRE method has been extended to prioritize the alternatives under the context of hybrid information. An illustrative case including five hydrogen production processes is used to illustrate the proposed prioritization framework from environmental, social, economic, and technical aspects, and the results show that biomass hydrogen technology is the most sustainable choice. In order to validate the feasibility of the proposed model, other three multi-criteria decision making methods were also used to determine the sustainability rankings of these five hydrogen production pathways, and the comparisons reveal that this method is feasible.
AB - Hydrogen has been received more and more attentions because of its advantage in terms of low environmental impact and high energy density. However, the sustainability priorities of different hydrogen production pathways have not been determined. To assist the sustainability-oriented selection of hydrogen production pathways, a prioritization framework needs to be built. However, the data collected from different sources consisting of hybrid information, such as crisp numbers, interval numbers, and fuzzy numbers, increases the difficulty of sustainability-oriented decision-making. Therefore, this study aims to develop a sustainability prioritization framework for hydrogen production pathways under hybrid information. The Z-number Best Worst Method (ZBWM) is applied to quantify the weight of each criterion from the views of decision-makers in the forms of Z-number. The ELECTRE method has been extended to prioritize the alternatives under the context of hybrid information. An illustrative case including five hydrogen production processes is used to illustrate the proposed prioritization framework from environmental, social, economic, and technical aspects, and the results show that biomass hydrogen technology is the most sustainable choice. In order to validate the feasibility of the proposed model, other three multi-criteria decision making methods were also used to determine the sustainability rankings of these five hydrogen production pathways, and the comparisons reveal that this method is feasible.
KW - Best-worst method
KW - Hydrogen production
KW - Multi-criteria decision making
KW - Sustainability assessment
UR - http://www.scopus.com/inward/record.url?scp=85100873151&partnerID=8YFLogxK
U2 - 10.1016/j.ijhydene.2021.01.018
DO - 10.1016/j.ijhydene.2021.01.018
M3 - Journal article
AN - SCOPUS:85100873151
SN - 0360-3199
VL - 46
SP - 13430
EP - 13445
JO - International Journal of Hydrogen Energy
JF - International Journal of Hydrogen Energy
IS - 24
ER -