Sustainability Decision Support Framework for the Prioritization of Hydrogen Energy Systems

Jingzheng Ren, Di Xu, Huan Cao, Shun'an Wei, Lichun Dong, Michael E. Goodsite

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

3 Citations (Scopus)


This chapter proposed a multicriteria decision-making methodology for the sustainability prioritization of industrial systems. The methodology incorporates a fuzzy analytic hierarchy process method that allows the users to assess the soft criteria by using linguistic terms. A fuzzy analytic network process method is used to calculate the weights of each criterion, which can tackle the interdependencies and interactions among the criteria. The preference ranking organization method for enrichment evaluation approach is used to prioritize the sustainability sequence of the alternative systems. Moreover, a sensitivity analysis method was developed to investigate the most critical and sensitive criteria. The developed methodology was illustrated by a case study to rank the sustainability of five alternative hydrogen production technologies. The advantages of the developed methodology over the previous approaches were demonstrated by comparing the results determined by the proposed framework with those determined by using the pervious approaches.

Original languageEnglish
Title of host publicationHydrogen Economy
Subtitle of host publicationSupply Chain, Life Cycle Analysis and Energy Transition for Sustainability
PublisherElsevier Inc.
Number of pages52
ISBN (Electronic)9780128111338
ISBN (Print)9780128111321
Publication statusPublished - 8 May 2017


  • Fuzzy analytic hierarchy process
  • Fuzzy analytic network process
  • Industrial systems
  • Multicriteria decision-making
  • Sustainability assessment

ASJC Scopus subject areas

  • Energy(all)


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