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

Gaylan Rasul Faqe Ibrahim (), Arieann Ali Hamid (), Umkalthum Mustafa Darwesh () and Azad Rasul ()
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Gaylan Rasul Faqe Ibrahim: Soran University, Kurdistan Region
Arieann Ali Hamid: University of Halabja
Umkalthum Mustafa Darwesh: University of Halabja
Azad Rasul: Soran University, Kurdistan Region

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2021, vol. 23, issue 4, No 63, 6066-6083

Abstract: 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.

Keywords: Solar farms; Multi-criteria analysis; Analytical hierarchy process; Erbil Governorate; GIS (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10668-020-00862-3

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