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

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  • Bortoluzzi, Mirian
  • Correia de Souza, Celso
  • Furlan, Marcelo

Abstract

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.

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  • Bortoluzzi, Mirian & Correia de Souza, Celso & Furlan, Marcelo, 2021. "Bibliometric analysis of renewable energy types using key performance indicators and multicriteria decision models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    • Handle: RePEc:eee:rensus:v:143:y:2021:i:c:s1364032121002501
    DOI: 10.1016/j.rser.2021.110958
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