Abstract
The need for renewable energy is continually increasing in developing countries. In Turkey, that need has been felt strongly for a long time. Due to various state's laws, regulations, and incentives, interest in renewable energies, especially solar energy, has been increasing rapidly since the 2000s. The annual amount of sun and therefore the solar potential in Turkey is quite high. In this context, it is crucial to identify suitable locations for solar farms in order to make maximum use of solar energy. The main objective of this study is to identify suitable potential sites for solar farms in the province of Antalya, which contains Turkey's fifth-largest city in terms of population. The geographic information system and analytical hierarchy process (AHP) were used to assess sites based on various logistical, geographic, and solar criteria. The map data used in the study were open access, and other data were obtained from local administrations. The sites in the study area were classified into four classes according to the results of the suitability index calculation: very suitable, suitable, less suitable, and not suitable. In total, 484,795 hectares, 24.02% of the study area were deemed suitable for solar farms, while 731,094 hectares (36.31%) were less suitable. Currently, very little of the suitable area is used for solar energy generation. The results of the study indicate that the province has a high potential in terms of solar energy. This is the most comprehensive study conducted in Antalya Province by using the widely preferred site selection criteria for solar farms together with AHP.
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The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
Al Garni HZ, Awasthi A (2017) Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia. Appl Energy 206:1225–1240. https://doi.org/10.1016/j.apenergy.2017.10.024
Aleksandrowicz L, Green R, Joy EJ, Smith P, Haines A (2016) The impacts of dietary change on greenhouse gas emissions, land use, water use, and health: a systematic review. PLoS ONE. https://doi.org/10.1371/journal.pone.0165797
Algarín CR, Llanos AP (2017) Castro AO (2017) An analytic hierarchy process based approach for evaluating renewable energy sources. Int J Energy Econ Policy 7(4):38–47
Ali S, Taweekun J, Techato K, Waewsak J, Gyawali S (2019) GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand. Renew Energy 132:1360–1372. https://doi.org/10.1016/j.renene.2018.09.035
Amjad F, Shah LA (2020) Identification and assessment of sites for solar farms development using GIS and density based clustering technique–a case of Pakistan. Renewable Energy. https://doi.org/10.1016/j.renene.2020.03.083
Antalya Provincial Culture and Tourism Directorate (2010) Antalya from Past to Present. TR Antalya Governorship Provincial Directorate of Culture and Tourism Publications, Antalya
Budak G, Chen X, Celik S, Ozturk B (2019) A systematic approach for assessment of renewable energy using analytic hierarchy process. Energy Sustain Soc 9(1):37. https://doi.org/10.1186/s13705-019-0219-y
Castillo CP, Silva FB, Lavalle C (2016) An assessment of the regional potential for solar power generation in EU-28. Energy Policy 88:86–99. https://doi.org/10.1016/j.enpol.2015.10.004
Çolak HE, Memisoglu T, Gercek Y (2020) Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: a case study of Malatya Province, Turkey. Renew Energy 149:565–576. https://doi.org/10.1016/j.renene.2019.12.078
Doorga JR, Rughooputh SD, Boojhawon R (2019) Multi-criteria GIS-based modelling technique for identifying potential solar farm sites: a case study in Mauritius. Renewable Energy 133:1201–1219. https://doi.org/10.1016/j.renene.2018.08.105
General Directorate of Renewable Energy (2019) Solar energy potential atlas. https://www.enerjiatlasi.com/gunes-enerjisi-haritasi/turkiye. Accessed date: 05 Jan 2020
Georgiou A, Skarlatos D (2016) Optimal site selection for sitting a solar park using multi-criteria decision analysis and geographical information systems. Geosci Instr, Methods Data Syst 5(2):321–332. https://doi.org/10.5194/gi-5-321-2016
Giamalaki M, Tsoutsos T (2019) Sustainable siting of solar power installations in Mediterranean using a GIS/AHP approach. Renew Energy 141:64–75. https://doi.org/10.1016/j.renene.2019.03.100
Hoffmann AA, Rymer PD, Byrne M, Ruthrof KX, Whinam J, McGeoch M, Hill SJ (2019) Impacts of recent climate change on terrestrial flora and fauna: some emerging Australian examples. Austral Ecol 44:3–27. https://doi.org/10.1111/aec.12674
IRENA (2020) International Renewable Energy Agency official web site, Country ranking, https://www.irena.org/Statistics/View-Data-by-Topic/Capacity-and-Generation/Country-Rankings. Accessed 11 Aug 2020
Kaygusuz K, Avci AC (2018) Renewable energy potential, utilization and policies in Turkey for environmental friendly sustainable development. J Eng Res Appl Sci 7:902–909
Kellogg W, Schware R (2019) Climate Change and society: consequences of increasing atmospheric carbon dioxide. Routledge, New York
Khan J, Arsalan MH (2016) Solar power technologies for sustainable electricity generation–a review. Renew Sustain Energy Rev 55:414–425. https://doi.org/10.1016/j.rser.2015.10.135
Koc A, Turk S, Şahin G (2019) Multi-criteria of wind-solar site selection problem using a GIS-AHP-based approach with an application in Igdir Province/Turkey. Environ Sci Pollut Res 26(31):32298–32310. https://doi.org/10.1007/s11356-019-06260-1
Kum G, Sönmez ME, Karabaş M (2019) Determination of Solar Energy Potential in GazÏ̇antep Province by Analytical Hierarchy Process Method (AHP). Journal of Geography 39:61–72. https://doi.org/10.26650/JGEOG2019-0031
Lau LC, Lee KT, Mohamed AR (2012) Global warming mitigation and renewable energy policy development from the Kyoto Protocol to the Copenhagen Accord—A comment. Renew Sustain Energy Rev 16:5280–5284. https://doi.org/10.1016/j.rser.2012.04.006
Li Y, Ren T, Kinney PL, Joyner A, Zhang W (2018) Projecting future climate change impacts on heat-related mortality in large urban areas in China. Environ Res 163:171–185. https://doi.org/10.1016/j.envres.2018.01.047
Løken E (2007) Use of multicriteria decision analysis methods for energy planning problems. Renew Sustain Energy Rev 11:1584–1595. https://doi.org/10.1016/j.rser.2005.11.005
Merrouni AA, Elalaoui FE, Mezrhab A, Mezrhab A, Ghennioui A (2017) Large scale PV sites selection by combining GIS and Analytical Hierarchy Process. Case study: Eastern Morocco. Renew Energy 119:1–17. https://doi.org/10.1016/j.renene.2017.10.044
Nguyen KH, Kakinaka M (2019) Renewable energy consumption, carbon emissions, and development stages: some evidence from panel cointegration analysis. Renew Energy 132:1049–1057. https://doi.org/10.1016/j.renene.2018.08.069
Rediske G, Siluk JCM, Gastaldo N, Rigo PD, Rosa CB (2019) Determinant factors in site selection for photovoltaic projects: a systematic review. Int J Energy Res 43(5):1689–1701. https://doi.org/10.1002/er.4321
Republic of Turkey Ministry of Agriculture and Forestry General Directorate of Meteorology (2018) Radyasyon. https://www.mgm.gov.tr/kurumici/radyasyon_iller.aspx. Accessed 05 Jan 2019
Republic of Turkey Ministry of Energy and Natural Resources (2020) Turkey's National Renewable Energy Action Plan. https://www.enerjiatlasi.com/gunes-enerjisi-haritasi/turkiye. Accessed 04 Jan 2020
Saaty TL (1980) The Analytic Hierarchy Process Mcgraw Hill, New York. Agricultural Economics Review, 70.
Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48:9–26. https://doi.org/10.1016/0377-2217(90)90057-I
Saaty TL (2008) Decision making with the analytic hierarchy process. Intern J Serv Sci 1:83–98
Sen S, Ganguly S (2017) Opportunities, barriers and issues with renewable energy development–a discussion. Renew Sustain Energy Rev 69:1170–1181. https://doi.org/10.1016/j.rser.2016.09.137
Shorabeh SN, Firozjaei MK, Nematollah O, Firozjaei HK, Jelokhani-Niaraki M (2019) A risk-based multi-criteria spatial decision analysis for solar power plant site selection in different climates: a case study in Iran. Renew Energy 143:958–973. https://doi.org/10.1016/j.renene.2019.05.063
Solangi YA, Shah SA, Zameer H, Ikram M, Saracoglu BO (2019) Assessing the solar PV power project site selection in Pakistan: based on AHP-fuzzy VIKOR approach. Environ Sci Pollut Res 26(29):30286–30302. https://doi.org/10.1007/s11356-019-06172-0
Uyan M (2017) Optimal site selection for solar power plants using multi-criteria evaluation: a case study from the Ayranci region in Karaman, Turkey. Clean Technol Environ Policy 19(9):2231–2244. https://doi.org/10.1007/s10098-017-1405-2
Western Mediterranean Development Agency (2011) Solar energy sector report. http://baka.gov.tr/uploads/1303486512GUNES-TURKCE-KATALOG.pdf. Accessed 05 Jan 2020
WHO (2014) Quantitative risk assessment of the effects of climate change on selected causes of death, 2030s and 2050s. World Health Organization. https://apps.who.int/iris/handle/10665/134014. Accessed 04 Jan 2020
WMDA (2011) West Mediterranean Development Agency Report, https://www.baka.gov.tr/assets/upload/dosyalar/1303486512GUNES-TURKCE-KATALOG.pdf. Accessed 11 Aug 2020
Yimen N, Dagbasi M (2019) Multi-Attribute decision-making: applying a modified brown-gibson model and RETScreen software to the optimal location process of utility-scale photovoltaic plants. Processes 7(8):505. https://doi.org/10.3390/pr7080505
Acknowledgements
This study was produced from the Master’s Thesis of Urban Planner Şura Kırcalı under the supervision of Assoc. Prof. Dr. Serdar Selim.
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Kırcalı, Ş., Selim, S. Site suitability analysis for solar farms using the geographic information system and multi-criteria decision analysis: the case of Antalya, Turkey. Clean Techn Environ Policy 23, 1233–1250 (2021). https://doi.org/10.1007/s10098-020-02018-3
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DOI: https://doi.org/10.1007/s10098-020-02018-3