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Applying a Combination of AHP, ANP, and PROMETHEE Methods to Find the Optimal Location for Solar Power Plant
Abstract
One of the well-known renewable energy resources is solar energy which has been developed rapidly in recent years. Turkey is one of the high energy consumer countries where has a good potential for using solar power due to its geographical location. Choosing the right location is one of the main issues related to the solar power plant problem. The main objective of this study is to select the optimal location to install a solar power plant among the five cities (Antalya, Nigde, Konya, Mersin, and Isparta) in the south of Turkey, which all of them are considered as potential locations because of receiving a high amount of solar radiation. To accomplish this task, three well-known multi-criteria decision-making methods (AHP, ANP, and PROMETHEE) are used to find the best location considering six different criteria. To simplify and improve the accuracy of calculation, SuperDecisions and VisualPROMETHEE Programs are utilized for analyzing the data. The program results show that Mersin is selected as the best location and the second one is Antalya. Besides, the lowest scored city is Nigde which is considered as the least preferred alternative.
Keywords
References
- Akçay, M., & Atak, M. (2018). Optimal Site Selection for a Solar Power Plant in Turkey Using a Hybrid AHP-TOPSIS Method. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, 14(4), 413–420. https://doi.org/10.18466/cbayarfbe.432432
- Akhisar, I. (2014). Performance Ranking of Turkish Insurance Companies: the Anp Application. Finansal Araştırmalar ve Çalışmalar Dergisi, 6(11), 1–14. https://doi.org/10.14784/jfrs.2014117324
- Al Garni, H. Z., & Awasthi, A. (2017). Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia. Applied Energy, 206(July), Energy Report of Turkeyhttps://doi.org/10.1016/j.apenergy.2017.10.024
- Albadvi, A., Chaharsooghi, S. K., & Esfahanipour, A. (2006). Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, 177(2), 673–683. https://doi.org/10.1016/j.ejor.2005.11.022
- BAĞCI, E. (2019). Renewable Energy Potential in Turkey Production , Consumption and Current Account. 101–117.
- Baka, M., Manganiello, P., Soudris, D., & Catthoor, F. (2019). A cost-benefit analysis for reconfigurable PV modules under shading. Solar Energy, 178(November 2018), 69–78. https://doi.org/10.1016/j.solener.2018.11.063
- Bakirci, K. (2012). General models for optimum tilt angles of solar panels: Turkey case study. Renewable and Sustainable Energy Reviews, 16(8), 6149–6159. https://doi.org/10.1016/j.rser.2012.07.009
- BP Outlook. (2019). BP Energy Outlook 2019 edition The Energy Outlook explores the forces shaping the global energy transition out to 2040 and the key uncertainties surrounding that. BP Energy Outlook 2019. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/energy-outlook/bp-energy-outlook-2019.pdf
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
December 31, 2021
Submission Date
December 22, 2021
Acceptance Date
January 3, 2022
Published in Issue
Year 2021 Number: 32
APA
Mırzaeı, N., & Nowzari, R. (2021). Applying a Combination of AHP, ANP, and PROMETHEE Methods to Find the Optimal Location for Solar Power Plant. Avrupa Bilim Ve Teknoloji Dergisi, 32, 1076-1085. https://doi.org/10.31590/ejosat.1039961
Cited By
Optimal Site Selection of Solar Power Plant Stations Using GIS-ANP and Genetic Optimization Algorithm in Markazi Province, Iran
Journal of Green Energy Research and Innovation
https://doi.org/10.61186/jgeri.1.4.47