Spatial Decision-Making under Uncertainties for Supporting the Prospection of Sites for Hybrid Renewable Energy Generation Systems

Lívia Maria Leite Silva (), Petr Ekel (), Douglas Alexandre Gomes Vieira, Matheus Pereira Libório and Marcos Flávio Silveira Vasconcelos D’angelo
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Lívia Maria Leite Silva: Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil
Petr Ekel: Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil
Douglas Alexandre Gomes Vieira: ENACOM, Belo Horizonte 31275-100, Brazil
Matheus Pereira Libório: Graduate Program inComputer Science, Pontifical Catholic University of Minas Gerais, Belo Horizonte 30535-901, Brazil
Marcos Flávio Silveira Vasconcelos D’angelo: Department of Computer Science, State University of Montes Claros, Montes Claros 39401-089, Brazil

Energies, 2023, vol. 16, issue 13, 1-29

Abstract: This research aims at developing methodological tools for decision makers (DMs) to determine the locations for generating sites for hybrid renewable energy systems, considering complementarity characteristics of the corresponding sources and their seasonal availability. The decision process on new sites starts using Geographic Information Systems for modeling relevant spatial criteria. The problem solution is associated with using the Slide-OWA operator, which permits one to control the inter-criteria compensation levels by adjusting pessimism and optimism parameters. After constructing multicriteria estimates for generating sites, the general scheme of multi-objective decision-making is applied in conditions of uncertainty since these estimates are subject to significant levels of uncertainty. Such a scheme is based on the possibilistic approach, which involves the construction of payoff matrices. At this point, it is possible that some alternatives cannot be distinguished based only on the criteria considered so far, or the DM may want to evaluate the alternatives from the point of view of additional considerations. For this purpose, the framework of multi-attribute decision-making models is applied by employing methods for preference modeling in a fuzzy environment. The present work results are applied to a case study of the Minas Gerais State in Brazil. These results play a strategic role for governments and investors in their decisions while considering the ability to meet a wide range of criteria.

Keywords: generating sites; renewable sources; energy complementarity; geographic information systems; spatial multicriteria analysis; payoff matrices; fuzzy decision-making (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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