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Assessment of hydrogen fuel cell applications using fuzzy multiple-criteria decision making method

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  • Chang, Pao-Long
  • Hsu, Chiung-Wen
  • Lin, Chiu-Yue

Abstract

Assessment is an essential process in framing government policy. It is critical to select the appropriate targets to meet the needs of national development. This study aimed to develop an assessment model for evaluating hydrogen fuel cell applications and thus provide a screening tool for decision makers. This model operates by selecting evaluation criteria, determining criteria weights, and assessing the performance of hydrogen fuel cell applications for each criterion. The fuzzy multiple-criteria decision making method was used to select the criteria and the preferred hydrogen fuel cell products based on information collected from a group of experts. Survey questionnaires were distributed to collect opinions from experts in different fields. After the survey, the criteria weights and a ranking of alternatives were obtained. The study first defined the evaluation criteria in terms of the stakeholders, so that comprehensive influence criteria could be identified. These criteria were then classified as environmental, technological, economic, or social to indicate the purpose of each criterion in the assessment process. The selected criteria included 14 indicators, such as energy efficiency and CO2 emissions, as well as seven hydrogen fuel cell applications, such as forklifts and backup power systems. The results show that fuel cell backup power systems rank the highest, followed by household fuel cell electric-heat composite systems. The model provides a screening tool for decision makers to select hydrogen-related applications.

Suggested Citation

  • Chang, Pao-Long & Hsu, Chiung-Wen & Lin, Chiu-Yue, 2012. "Assessment of hydrogen fuel cell applications using fuzzy multiple-criteria decision making method," Applied Energy, Elsevier, vol. 100(C), pages 93-99.
  • Handle: RePEc:eee:appene:v:100:y:2012:i:c:p:93-99
    DOI: 10.1016/j.apenergy.2012.03.051
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    Cited by:

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    2. Narayanamoorthy, Samayan & Ramya, L. & Kalaiselvan, Samayan & Kureethara, Joseph Varghese & Kang, Daekook, 2021. "Use of DEMATEL and COPRAS method to select best alternative fuel for control of impact of greenhouse gas emissions," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    3. Behnoosh Matani & Babak Shirazi & Javad Soltanzadeh, 2019. "F-MaMcDm: Sustainable Green-Based Hydrogen Production Technology Roadmap Using Fuzzy Multi-Aspect Multi-Criteria Decision-Making," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(08), pages 1-32, December.
    4. Qian, Xiaohu & Fang, Shu-Cherng & Huang, Min & Wang, Xingwei, 2019. "Winner determination of loss-averse buyers with incomplete information in multiattribute reverse auctions for clean energy device procurement," Energy, Elsevier, vol. 177(C), pages 276-292.
    5. Elena Arce, María & Saavedra, Ángeles & Míguez, José L. & Granada, Enrique, 2015. "The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 924-932.
    6. Alev Taskin Gumus & A. Yesim Yayla & Erkan Çelik & Aytac Yildiz, 2013. "A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey," Energies, MDPI, vol. 6(6), pages 1-16, June.

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