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A New Decision Framework for Hybrid Solar and Wind Power Plant Site Selection Using Linear Regression Modeling Based on GIS-AHP

Author

Listed:
  • Meysam Asadi

    (Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz 5157944533, Iran)

  • Kazem Pourhossein

    (Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz 5157944533, Iran)

  • Younes Noorollahi

    (Energy Modelling and Sustainable Energy Systems (METSAP) Research Lab., Faculty of New Sciences and Technologies, University of Tehran, Tehran 1416634793, Iran)

  • Mousa Marzband

    (Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
    Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Gregorio Iglesias

    (School of Engineering and Architecture, Environmental Research Institute, MaREI, University College Cork, T12R5CP Cork, Ireland
    School of Engineering, Computing and Mathematics, Marine Building, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK)

Abstract

Currently, worldwide attention to clean energy and sustainable energy has been expedited because of its many environmental benefits. In fact, wind and solar energies play a prime role in decarbonizing the energy market. However, finding the most suitable locations for wind/solar power plants is difficult because of the non-homogeneous distribution of these sources. This paper presents a novel method for selecting the optimal locations for wind and solar farms by mapping the space of the decision criteria to the site score. In addition, the multiple linear regression model was used, with the help of the combination of GIS and AHP methods, to model the siting of wind and solar power plants. The site scoring method used in this study is reliable and globally evaluated; therefore, the scores are accurate and effective. To reveal the ability of the proposed method, two study areas were investigated and researched. The results achieved based on the introduced method showed that, in case study 1, areas with an area of about 9, 4 and 7 km 2 are suitable for the construction of wind, solar and wind/solar power plants, respectively. This paper also used fourteen existing wind/solar, wind and solar farms from five continents around the world. The results showed that the suggested model acts the same as the real data. In addition to the interest these results hold for the development of renewable energy in the study area, this novel approach may be applied elsewhere to select optimum sites for wind, solar, and combined wind and solar farms.

Suggested Citation

  • Meysam Asadi & Kazem Pourhossein & Younes Noorollahi & Mousa Marzband & Gregorio Iglesias, 2023. "A New Decision Framework for Hybrid Solar and Wind Power Plant Site Selection Using Linear Regression Modeling Based on GIS-AHP," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8359-:d:1152225
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    References listed on IDEAS

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    1. Janke, Jason R., 2010. "Multicriteria GIS modeling of wind and solar farms in Colorado," Renewable Energy, Elsevier, vol. 35(10), pages 2228-2234.
    2. Seyed Mohammad Seyed Alavi & Akbar Maleki & Ali Khaleghi, 2022. "Optimal site selection for wind power plant using multi-criteria decision-making methods: A case study in eastern Iran [Selection of optimal location and design of a stand-alone photovoltaic scheme," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 1319-1337.
    3. Mohammadzadeh Bina, Saeid & Jalilinasrabady, Saeid & Fujii, Hikari & Farabi-Asl, Hadi, 2018. "A comprehensive approach for wind power plant potential assessment, application to northwestern Iran," Energy, Elsevier, vol. 164(C), pages 344-358.
    4. Chia-Nan Wang & Van Tran Hoang Viet & Thanh Phong Ho & Van Thanh Nguyen & Syed Tam Husain, 2020. "Optimal Site Selection for a Solar Power Plant in the Mekong Delta Region of Vietnam," Energies, MDPI, vol. 13(16), pages 1-20, August.
    5. Famoso, Fabio & Brusca, Sebastian & D'Urso, Diego & Galvagno, Antonio & Chiacchio, Ferdinando, 2020. "A novel hybrid model for the estimation of energy conversion in a wind farm combining wake effects and stochastic dependability," Applied Energy, Elsevier, vol. 280(C).
    6. José Eduardo Tafula & Constantino Dário Justo & Pedro Moura & Jérôme Mendes & Ana Soares, 2023. "Multicriteria Decision-Making Approach for Optimum Site Selection for Off-Grid Solar Photovoltaic Microgrids in Mozambique," Energies, MDPI, vol. 16(6), pages 1-41, March.
    7. Höfer, Tim & Sunak, Yasin & Siddique, Hafiz & Madlener, Reinhard, 2016. "Wind farm siting using a spatial Analytic Hierarchy Process approach: A case study of the Städteregion Aachen," Applied Energy, Elsevier, vol. 163(C), pages 222-243.
    8. Liu, Fa & Wang, Xunming & Sun, Fubao & Wang, Hong, 2022. "Correct and remap solar radiation and photovoltaic power in China based on machine learning models," Applied Energy, Elsevier, vol. 312(C).
    9. Nagababu, Garlapati & Puppala, Harish & Pritam, Kocherlakota & Kantipudi, MVV Prasad, 2022. "Two-stage GIS-MCDM based algorithm to identify plausible regions at micro level to install wind farms: A case study of India," Energy, Elsevier, vol. 248(C).
    10. Eva Loukogeorgaki & Dimitra G. Vagiona & Margarita Vasileiou, 2018. "Site Selection of Hybrid Offshore Wind and Wave Energy Systems in Greece Incorporating Environmental Impact Assessment," Energies, MDPI, vol. 11(8), pages 1-16, August.
    11. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Odigie, O. & Munda, J.L., 2018. "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria," Applied Energy, Elsevier, vol. 228(C), pages 1853-1869.
    12. Sotiropoulou, Kalliopi F. & Vavatsikos, Athanasios P., 2021. "Onshore wind farms GIS-Assisted suitability analysis using PROMETHEE II," Energy Policy, Elsevier, vol. 158(C).
    13. Gorg Abdelmassih & Mohammed Al-Numay & Abdelali El Aroudi, 2021. "Map Optimization Fuzzy Logic Framework in Wind Turbine Site Selection with Application to the USA Wind Farms," Energies, MDPI, vol. 14(19), pages 1-15, September.
    14. Asadi, Meysam & Pourhossein, Kazem, 2021. "Wind farm site selection considering turbulence intensity," Energy, Elsevier, vol. 236(C).
    15. Solomon, Barry D. & Haynes, Kingsley E., 1984. "A survey and critique of multiobjective power plant siting decision rules," Socio-Economic Planning Sciences, Elsevier, vol. 18(2), pages 71-79.
    16. Chen, Fuying & Yang, Qing & Zheng, Niting & Wang, Yuxuan & Huang, Junling & Xing, Lu & Li, Jianlan & Feng, Shuanglei & Chen, Guoqian & Kleissl, Jan, 2022. "Assessment of concentrated solar power generation potential in China based on Geographic Information System (GIS)," Applied Energy, Elsevier, vol. 315(C).
    17. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2016. "GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain," Applied Energy, Elsevier, vol. 171(C), pages 86-102.
    18. Asadi, Meysam & Ramezanzade, Mohsen & Pourhossein, Kazem, 2023. "A global evaluation model applied to wind power plant site selection," Applied Energy, Elsevier, vol. 336(C).
    19. Mahmood Shafiee, 2022. "Wind Energy Development Site Selection Using an Integrated Fuzzy ANP-TOPSIS Decision Model," Energies, MDPI, vol. 15(12), pages 1-20, June.
    20. Mengran Li & Ye Xu & Junhong Guo & Ye Li & Wei Li, 2020. "Application of a GIS-Based Fuzzy Multi-Criteria Evaluation Approach for Wind Farm Site Selection in China," Energies, MDPI, vol. 13(10), pages 1-19, May.
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