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Renewable energy performance evaluation studies using the data envelopment analysis (DEA): A systematic review
Journal of Renewable and Sustainable Energy ( IF 2.5 ) Pub Date : 2020-11-01 , DOI: 10.1063/5.0024750
Fairuz Suzana Mohd Chachuli 1 , Norasikin Ahmad Ludin 1 , Sohif Mat 1 , Kamaruzzaman Sopian 1
Affiliation  

This article provides a systematic analysis of renewable energy performance using data envelopment analysis (DEA) to understand the diverging paths of renewable energy development for countries. In this review, 72 quantitative studies were identified using a multi-stage selection process. The review found that the DEA method can be used as an appropriate tool for performance evaluation of renewable energy studies' research. The DEA method can be applied critically for decision making, especially for policymakers in the renewable energy sector. The review also demonstrated that the DEA method, either traditional or advanced, can be comprehensively used to evaluate the performance of renewable energy studies depending on the objective of the research, as well as the complexity and accuracy of data issues. This review revealed that the selection of input and output factors used in DEA is sufficient enough to evaluate renewable energy performance. This review contributed to the current energy literature and filled in the gap with the addition of new knowledge on assessing renewable energy research studies intensively using a formal systematic literature review process. The review revealed that the development of DEA methodologies and applications in renewable energy should be expanded in the future. The results obtained from this review are both beneficial and inspirational for further research regarding the DEA application in renewable energy and provide valuable input for policymakers in decision-making processes.

中文翻译:

使用数据包络分析 (DEA) 的可再生能源性能评估研究:系统评价

本文使用数据包络分析 (DEA) 对可再生能源绩效进行系统分析,以了解各国可再生能源发展的不同路径。在本次审查中,使用多阶段选择过程确定了 72 项定量研究。审查发现,DEA 方法可用作可再生能源研究绩效评估的合适工具。DEA 方法可以关键地应用于决策,尤其是可再生能源部门的决策者。审查还表明,DEA 方法,无论是传统的还是先进的,都可以根据研究的目标以及数据问题的复杂性和准确性来综合评估可再生能源研究的绩效。该审查表明,DEA 中使用的输入和输出因子的选择足以评估可再生能源的性能。这篇综述为当前的能源文献做出了贡献,并填补了空白,增加了关于使用正式的系统文献综述过程集中评估可再生能源研究的新知识。审查表明,未来应扩大 DEA 方法学和可再生能源应用的发展。从这次审查中获得的结果对于 DEA 在可再生能源中的应用的进一步研究既有益又鼓舞人心,并为决策者的决策过程提供了宝贵的投入。这篇综述为当前的能源文献做出了贡献,并填补了空白,增加了关于使用正式的系统文献综述过程集中评估可再生能源研究的新知识。审查表明,未来应扩大 DEA 方法学和可再生能源应用的发展。从这次审查中获得的结果对于 DEA 在可再生能源中的应用的进一步研究既有益又鼓舞人心,并为决策者的决策过程提供了宝贵的投入。这篇综述为当前的能源文献做出了贡献,并填补了空白,增加了关于使用正式的系统文献综述过程集中评估可再生能源研究的新知识。审查表明,未来应扩大 DEA 方法学和可再生能源应用的发展。从这次审查中获得的结果对于 DEA 在可再生能源中的应用的进一步研究既有益又鼓舞人心,并为决策者的决策过程提供了宝贵的投入。审查表明,未来应扩大 DEA 方法学和可再生能源应用的发展。从这次审查中获得的结果对于 DEA 在可再生能源中的应用的进一步研究既有益又鼓舞人心,并为决策者的决策过程提供了宝贵的投入。审查表明,未来应扩大 DEA 方法学和可再生能源应用的发展。从这次审查中获得的结果对于 DEA 在可再生能源中的应用的进一步研究既有益又鼓舞人心,并为决策者的决策过程提供了宝贵的投入。
更新日期:2020-11-01
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