Abstract—The objective of this study is to develop an assessment model that can be used to evaluate hydrogen fuel cell applications and provide a screening tool for decision makers. This model operates by selecting the evaluation indicators, determining criteria weight, and assessing the performance of hydrogen fuel cell applications with respect to each criterion. The fuzzy Delphi method (FDM) was used to select the criteria and the preferred hydrogen fuel cell products based on the information collected from a group of experts. Survey questionnaires were sent out to obtain the opinions of experts in different fields. After two rounds of surveying, the group consensus, criteria weight, and ranking of options were obtained. The selected criteria included four general fields—environment, technology, economy, and society, 14 indicators such as energy efficiency and CO2 emission, and seven hydrogen fuel cell applications such as fuel cell forklifts and fuel cell backup power systems. The results show that the fuel cell backup power system ranked the highest, followed by household fuel cell electric-heat composite systems. The criteria provide a screening tool for decision makers to select appropriate hydrogen-related applications.
—Fuel cell, hydrogen, fuzzy delphi, evaluation indicator, assessment model
Pao-Long Chang is with Department of Business Administration, Feng Chia University, Taichung, Taiwan.
Chiung-Wen Hsu is with Graduate Institute of Management of Technology, Feng Chia University, Taichung, Taiwan
Cite: Pao-Long Chang and Chiung-Wen Hsu, "An Assessment Model for Hydrogen Fuel Cell Applications: Fuzzy Delphi Approach," International Journal of Social Science and Humanity
vol. 1, no. 3, pp. 218-223, 2011.