Bibliometric analysis of renewable energy types using key performance indicators and multicriteria decision models

The objective of this paper is to identify patterns in the literature on the use of key performance indicators (KPI) and multicriteria decision-making models (MCDM/A) in the analysis of renewable energy technologies (RET). An integrated approach to bibliometric and systematic review is conducted to...

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Bibliographic Details
Published inRenewable & sustainable energy reviews Vol. 143; p. 110958
Main Authors Bortoluzzi, Mirian, Correia de Souza, Celso, Furlan, Marcelo
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.06.2021
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Summary:The objective of this paper is to identify patterns in the literature on the use of key performance indicators (KPI) and multicriteria decision-making models (MCDM/A) in the analysis of renewable energy technologies (RET). An integrated approach to bibliometric and systematic review is conducted to identify the research opportunity and the current state of the art on the subject. The results of this study pointed out: (i) the use of synthesis models rather than overlap models; (ii) the relevance of adding policy and technical indicators beyond those related to the Triple Bottom Line in decision-making; (iii) the important role of MCDM/A models in achieving the Sustainable Development Goals present in the 2030 United Nations Agenda. Also, this paper describes a guide for future research in the field of the MCDM/A approach in Renewable Energy Technology from a sustainable development perspective. [Display omitted] •This bibliometric review integrates RET, MCDM/A and KPI from a sustainable development perspective.•A research agenda with 8 proposals is presented for MCDM/A and KPI as it applies to the topic of RET.•Policymakers and managers can be guided by the main KPI and MCDM/A identified by the study.•Statistical inferential techniques were employed to analyze the bibliometric data.
ISSN:1364-0321
1879-0690
DOI:10.1016/j.rser.2021.110958