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

Author

Listed:
  • Lívia Maria Leite Silva

    (Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil
    Thunders Tecnologia, Rio de Janeiro 22640-100, Brazil)

  • Petr Ekel

    (Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil
    Graduate Program inComputer Science, Pontifical Catholic University of Minas Gerais, Belo Horizonte 30535-901, Brazil
    ASOTECH, Belo Horizonte 30380-002, Brazil)

  • Douglas Alexandre Gomes Vieira

    (ENACOM, Belo Horizonte 31275-100, Brazil
    Graduate Program in Mathematical Modeling, Federal Center of Technological Education of Minas Gerais, Belo Horizonte 30421-169, 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)

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.

Suggested Citation

  • Lívia Maria Leite Silva & Petr Ekel & Douglas Alexandre Gomes Vieira & Matheus Pereira Libório & Marcos Flávio Silveira Vasconcelos D’angelo, 2023. "Spatial Decision-Making under Uncertainties for Supporting the Prospection of Sites for Hybrid Renewable Energy Generation Systems," Energies, MDPI, vol. 16(13), pages 1-29, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:4880-:d:1177064
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Wang, Hsiao-Fan & Sung, Meng-Ping & Hsu, Hsin-Wei, 2016. "Complementarity and substitution of renewable energy in target year energy supply-mix plannin–in the case of Taiwan," Energy Policy, Elsevier, vol. 90(C), pages 172-182.
    3. Herrera, F. & Martinez, L. & Sanchez, P. J., 2005. "Managing non-homogeneous information in group decision making," European Journal of Operational Research, Elsevier, vol. 166(1), pages 115-132, October.
    4. Amirinia, Gholamreza & Mafi, Somayeh & Mazaheri, Said, 2017. "Offshore wind resource assessment of Persian Gulf using uncertainty analysis and GIS," Renewable Energy, Elsevier, vol. 113(C), pages 915-929.
    5. Ram, Camelia & Montibeller, Gilberto, 2013. "Exploring the impact of evaluating strategic options in a scenario-based multi-criteria framework," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 657-672.
    6. Durbach, Ian N. & Stewart, Theodor J., 2012. "Modeling uncertainty in multi-criteria decision analysis," European Journal of Operational Research, Elsevier, vol. 223(1), pages 1-14.
    7. Beluco, Alexandre & de Souza, Paulo Kroeff & Krenzinger, Arno, 2008. "A dimensionless index evaluating the time complementarity between solar and hydraulic energies," Renewable Energy, Elsevier, vol. 33(10), pages 2157-2165.
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