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A GIS-based Boolean logic-analytical hierarchy process for solar power plant (case study: Erbil Governorate—Iraq)

Author

Listed:
  • Gaylan Rasul Faqe Ibrahim

    (Soran University, Kurdistan Region
    University of Halabja)

  • Arieann Ali Hamid

    (University of Halabja)

  • Umkalthum Mustafa Darwesh

    (University of Halabja)

  • Azad Rasul

    (Soran University, Kurdistan Region)

Abstract

The remarkable increase in population and industrial development has brought priority to the installation of solar power plants in developing countries. Solar power site selection is a complicated task, which involves spatial assessment, driving environment, economic and climatological factors. For different site selection studies, multi-criteria estimation was used. This study utilized GIS and Boolean-AHP model to perform solar power site selection in Erbil governorate. The study proposed three scenarios: economic weight scenario, environment weight scenario and equal weight scenario. The final index model identifies four groups: unsuitable, low suitable, moderately suitable and highly suitable. Consequently, the study identified 369 candidate sites to install the solar power farms, interestingly; about 85% of the candidate sites are located in the southern and central part of the study area.

Suggested Citation

  • Gaylan Rasul Faqe Ibrahim & Arieann Ali Hamid & Umkalthum Mustafa Darwesh & Azad Rasul, 2021. "A GIS-based Boolean logic-analytical hierarchy process for solar power plant (case study: Erbil Governorate—Iraq)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6066-6083, April.
  • Handle: RePEc:spr:endesu:v:23:y:2021:i:4:d:10.1007_s10668-020-00862-3
    DOI: 10.1007/s10668-020-00862-3
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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. Abed, Fayadh M. & Al-Douri, Y. & Al-Shahery, Ghazy. M.Y., 2014. "Review on the energy and renewable energy status in Iraq: The outlooks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 816-827.
    3. Sabziparvar, Ali A. & Shetaee, H., 2007. "Estimation of global solar radiation in arid and semi-arid climates of East and West Iran," Energy, Elsevier, vol. 32(5), pages 649-655.
    4. Jahangiri, Mehdi & Ghaderi, Reza & Haghani, Ahmad & Nematollahi, Omid, 2016. "Finding the best locations for establishment of solar-wind power stations in Middle-East using GIS: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 38-52.
    5. Al Garni, Hassan Z. & Awasthi, Anjali, 2017. "Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia," Applied Energy, Elsevier, vol. 206(C), pages 1225-1240.
    6. Meryem Tahri & Mustapha Hakdaoui & Mohamed Maanan, 2015. "The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco," Post-Print hal-01185533, HAL.
    7. Charabi, Yassine & Gastli, Adel, 2011. "PV site suitability analysis using GIS-based spatial fuzzy multi-criteria evaluation," Renewable Energy, Elsevier, vol. 36(9), pages 2554-2561.
    8. Aragonés-Beltrán, Pablo & Chaparro-González, Fidel & Pastor-Ferrando, Juan-Pascual & Pla-Rubio, Andrea, 2014. "An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects," Energy, Elsevier, vol. 66(C), pages 222-238.
    9. Tahri, Meryem & Hakdaoui, Mustapha & Maanan, Mohamed, 2015. "The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1354-1362.
    10. Panwar, N.L. & Kaushik, S.C. & Kothari, Surendra, 2011. "Role of renewable energy sources in environmental protection: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1513-1524, April.
    11. Budzianowski, Wojciech M., 2012. "Negative carbon intensity of renewable energy technologies involving biomass or carbon dioxide as inputs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6507-6521.
    12. Hossein Yousefi & Hamed Hafeznia & Amin Yousefi-Sahzabi, 2018. "Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran," Energies, MDPI, vol. 11(7), pages 1-18, June.
    13. Chia-Nan Wang & Van Thanh Nguyen & Hoang Tuyet Nhi Thai & Duy Hung Duong, 2018. "Multi-Criteria Decision Making (MCDM) Approaches for Solar Power Plant Location Selection in Viet Nam," Energies, MDPI, vol. 11(6), pages 1-27, June.
    14. Latinopoulos, D. & Kechagia, K., 2015. "A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece," Renewable Energy, Elsevier, vol. 78(C), pages 550-560.
    15. van de Kaa, Geerten & Rezaei, Jafar & Kamp, Linda & de Winter, Allard, 2014. "Photovoltaic technology selection: A fuzzy MCDM approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 662-670.
    16. Mohammad Alhuyi Nazari & Alireza Aslani & Roghayeh Ghasempour, 2018. "Analysis of Solar Farm Site Selection Based on TOPSIS Approach," International Journal of Social Ecology and Sustainable Development (IJSESD), IGI Global, vol. 9(1), pages 12-25, January.
    17. Carrión, J. Arán & Espín Estrella, A. & Aznar Dols, F. & Ridao, A. Ramos, 2008. "The electricity production capacity of photovoltaic power plants and the selection of solar energy sites in Andalusia (Spain)," Renewable Energy, Elsevier, vol. 33(4), pages 545-552.
    18. Zoghi, Mahmood & Houshang Ehsani, Amir & Sadat, Mahdis & javad Amiri, Mohammad & Karimi, Sepideh, 2017. "Optimization solar site selection by fuzzy logic model and weighted linear combination method in arid and semi-arid region: A case study Isfahan-IRAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 986-996.
    19. Sánchez-Lozano, Juan M. & Henggeler Antunes, Carlos & García-Cascales, M. Socorro & Dias, Luis C., 2014. "GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain," Renewable Energy, Elsevier, vol. 66(C), pages 478-494.
    20. Turney, Damon & Fthenakis, Vasilis, 2011. "Environmental impacts from the installation and operation of large-scale solar power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3261-3270, August.
    21. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    22. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
    23. Alamdari, Pouria & Nematollahi, Omid & Alemrajabi, Ali Akbar, 2013. "Solar energy potentials in Iran: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 778-788.
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    2. Fakharizadehshirazi, Elham & Rösch, Christine, 2024. "A novel socio-techno-environmental GIS approach to assess the contribution of ground-mounted photovoltaics to achieve climate neutrality in Germany," Renewable Energy, Elsevier, vol. 227(C).
    3. Kocabaldır, Canan & Yücel, Mehmet Ali, 2023. "GIS-based multicriteria decision analysis for spatial planning of solar photovoltaic power plants in Çanakkale province, Turkey," Renewable Energy, Elsevier, vol. 212(C), pages 455-467.

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