Assessment of hydrogen fuel cell applications using fuzzy multiple-criteria decision making method
Assessment of hydrogen fuel cell applications using fuzzy multiple-criteria decision making method
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DOI：
10.1016/j.apenergy.2012.03.051
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发表时间：
2012-12
期刊：
影响因子：
11.2
通讯作者：
P. Chang;Chiung-Wen Hsu;Chiu-Yue Lin
中科院分区：
文献类型：
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作者：
P. Chang;Chiung-Wen Hsu;Chiu-Yue Lin
评估是制定政府政策的必要过程。选择适当的指标以满足国家发展的需要至关重要。本研究旨在建立一个评估氢燃料电池应用的评估模型，从而为决策者提供筛选工具。该模型通过选择评估标准，确定标准权重，并评估每个标准的氢燃料电池应用性能来运行。采用模糊多准则决策方法，在专家信息的基础上进行标准选择和氢燃料电池产品优选。发放调查问卷，收集不同领域专家的意见。通过调查，得出了各指标的权重和备选方案的排序。本研究首先从利益相关者的角度界定评价标准，从而确定综合影响标准。然后将这些标准分类为环境、技术、经济或社会，以表明评估过程中每个标准的目的。选定的标准包括14项指标，如能源效率和二氧化碳排放，以及7项氢燃料电池应用，如叉车和备用电源系统。结果表明，燃料电池备用电源系统的能效排名最高，其次是家用燃料电池电热复合系统。该模型为决策者选择氢相关应用提供了一种筛选工具。
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 CO2emissions, 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.