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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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    2. 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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