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A Novel Decision-Support Framework for Supporting Renewable Energy Technology Siting in the Early Design Stage of Microgrids: Considering Geographical Conditions and Focusing on Resilience and SDGs

Author

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  • Bharath Kumar Sugumar

    (PhD in Sustainable Development and Climate Change, IUSS Pavia, 27100 Pavia, Italy
    Electrical, Computer and Biomedical Engineering Department, University of Pavia, 27100 Pavia, Italy
    The authors contributed equally to this work.)

  • Norma Anglani

    (Electrical, Computer and Biomedical Engineering Department, University of Pavia, 27100 Pavia, Italy
    The authors contributed equally to this work.)

Abstract

This research is focused on microgrid design supporting tools and presents an innovative framework for renewable energy (RE) sources’ site selection, integrating multicriteria decision-making (MCDM) methods with resilience considerations and alignment to the Sustainable Development Goals (SDGs). It addresses present climatic challenges, identifies key causes of possible power failures, and develops strategies to mitigate their effects, while providing tools for energy managers and decision-makers to select suitable RE sources/technologies, based on geographical and sustainability criteria. The framework categorizes criteria into quantitative and qualitative types, adopting a cost ( C )- and benefit ( B )-based approach. The Analytic Hierarchy Process (AHP) calculates criteria weights to ensure accuracy and compatibility in decision-making, integrating SDG objectives into the evaluation process. This study focuses on five major RE options, photovoltaic (PV), wind, wave, tidal, and geothermal, analyzing more than 50 criteria for each energy type. This evaluation incorporates the expertise of over 50 experts and case studies, making it one of the most extensive research efforts in RE site selection. By systematically addressing resilience challenges and linking them with SDG priorities, this study provides a robust framework for evaluating and optimizing RE options. Its methodologies offer significant contributions to advancing sustainable energy development and enhancing energy systems’ resilience to climate and infrastructural challenges.

Suggested Citation

  • Bharath Kumar Sugumar & Norma Anglani, 2025. "A Novel Decision-Support Framework for Supporting Renewable Energy Technology Siting in the Early Design Stage of Microgrids: Considering Geographical Conditions and Focusing on Resilience and SDGs," Energies, MDPI, vol. 18(3), pages 1-29, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:544-:d:1576293
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    References listed on IDEAS

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    1. Jahanshahi, Akram & Kamali, Mohammadreza & Khalaj, Mohammadreza & Khodaparast, Zahra, 2019. "Delphi-based prioritization of economic criteria for development of wave and tidal energy technologies," Energy, Elsevier, vol. 167(C), pages 819-827.
    2. Cradden, L. & Kalogeri, C. & Barrios, I. Martinez & Galanis, G. & Ingram, D. & Kallos, G., 2016. "Multi-criteria site selection for offshore renewable energy platforms," Renewable Energy, Elsevier, vol. 87(P1), pages 791-806.
    3. Alkan, Ömer & Albayrak, Özlem Karadağ, 2020. "Ranking of renewable energy sources for regions in Turkey by fuzzy entropy based fuzzy COPRAS and fuzzy MULTIMOORA," Renewable Energy, Elsevier, vol. 162(C), pages 712-726.
    4. Chia-Nan Wang & Yih-Tzoo Chen & Chun-Chun Tung, 2021. "Evaluation of Wave Energy Location by Using an Integrated MCDM Approach," Energies, MDPI, vol. 14(7), pages 1-14, March.
    5. Shao, Meng & Zhao, Yuanxu & Sun, Jinwei & Han, Zhixin & Shao, Zhuxiao, 2023. "A decision framework for tidal current power plant site selection based on GIS-MCDM: A case study in China," Energy, Elsevier, vol. 262(PB).
    6. Haddad, Brahim & Liazid, Abdelkrim & Ferreira, Paula, 2017. "A multi-criteria approach to rank renewables for the Algerian electricity system," Renewable Energy, Elsevier, vol. 107(C), pages 462-472.
    7. Nobre, Ana & Pacheco, Miguel & Jorge, Raquel & Lopes, M.F.P. & Gato, L.M.C., 2009. "Geo-spatial multi-criteria analysis for wave energy conversion system deployment," Renewable Energy, Elsevier, vol. 34(1), pages 97-111.
    8. Diemuodeke, E.O. & Addo, A. & Oko, C.O.C. & Mulugetta, Y. & Ojapah, M.M., 2019. "Optimal mapping of hybrid renewable energy systems for locations using multi-criteria decision-making algorithm," Renewable Energy, Elsevier, vol. 134(C), pages 461-477.
    9. Büyüközkan, Gülçin & Karabulut, Yağmur & Mukul, Esin, 2018. "A novel renewable energy selection model for United Nations' sustainable development goals," Energy, Elsevier, vol. 165(PA), pages 290-302.
    10. Abdel-Basset, Mohamed & Gamal, Abduallah & Chakrabortty, Ripon K. & Ryan, Michael J., 2021. "Evaluation approach for sustainable renewable energy systems under uncertain environment: A case study," Renewable Energy, Elsevier, vol. 168(C), pages 1073-1095.
    11. Mohsen Ramezanzade & Hossein Karimi & Khalid Almutairi & Hoa Ao Xuan & Javad Saebi & Ali Mostafaeipour & Kuaanan Techato, 2021. "Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study," Sustainability, MDPI, vol. 13(22), pages 1-38, November.
    12. Nasrollahi, Sadaf & Kazemi, Aliyeh & Jahangir, Mohammad-Hossein & Aryaee, Sara, 2023. "Selecting suitable wave energy technology for sustainable development, an MCDM approach," Renewable Energy, Elsevier, vol. 202(C), pages 756-772.
    13. Esra Karaka & Ozan Veli Y ld ran, 2019. "Evaluation of Renewable Energy Alternatives for Turkey via Modified Fuzzy AHP," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 31-39.
    14. Şengül, Ümran & Eren, Miraç & Eslamian Shiraz, Seyedhadi & Gezder, Volkan & Şengül, Ahmet Bilal, 2015. "Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 617-625.
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