Abstract
Optimizing the location of wind and photovoltaic solar power plants is a significant environmental management problem. The effectiveness of the site selection process for renewable energy systems (RES) could be strengthened by flexible spatial and environmental planning strategies using decision support systems (DSS) to critically identify the most productive, environmentally friendly and acceptable sites for the production of sustainable and reliable wind and solar energy. This study discusses hybrid DSS, using multi-criteria evaluation based on the analytical hierarchy process (AHP), a geographical information system (GIS), fuzzy logic, and a weighted linear combination (WLC) approach to determine optimal locations for renewable energy generation infrastructure. In the first stage, the most decisive factors for evaluating the site suitability were identified, based on experts’ opinions. Next, raster layers of ecological and socioeconomic sub-criteria were prepared GIS software. After incorporating the raster maps of each parameter, fuzzy membership functions were applied to normalize each raster layer between 0 and 1. The relative weights of different indicators were calculated using super decision software. Prioritizing vital elements were performed using AHP. In the final stage, the WLC approach was utilized to amalgamate layers in the GIS environment, which afforded the final site suitability maps. In Isfahan Province, Iran, 26% of the land area was found to be highly suitable for solar farms with 18% being highly suitable for wind farms. The results illustrate that using and comparing the results from combinations of computer-based DSS are more likely to result in better decisions than using individual DSS tools for the determination of the most suitable sites for RES location.
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24 December 2020
A Correction to this paper has been published: https://doi.org/10.1007/s10098-020-02007-6
References
Aktas A, Kabak M (2019) A goal programming model for grid-connected hybrid energy system operations. SN Appl Sci 2:71. https://doi.org/10.1007/s42452-019-1878-1
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, Ali Shah L (2020) Identification and assessment of sites for solar farms development using GIS and density based clustering technique—a case of Pakistan. Renew Energy 20:304. https://doi.org/10.1016/j.renene.2020.03.083
Anwarzai MA, Nagasaka K (2017) Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis. Renew Sustain Energy Rev 71:150–160. https://doi.org/10.1016/j.rser.2016.12.048
Asakereh A, Soleymani M, Sheikhdavoodi MJ (2017) A GIS-based Fuzzy-AHP method for the evaluation of solar farms locations: case study in Khuzestan province, Iran. J Sol Energ 155:342–353. https://doi.org/10.1016/j.solener.2017.05.075
Aydin NY, Kentel E, Sebnem Duzgun H (2013) GIS-based site selection methodology for hybrid renewable energy systems: a case study from western Turkey. Energy Convers Manag 70:90–106. https://doi.org/10.1016/j.enconman.2013.02.004
Azizi A, Malekmohammadi B, Jafari HR, Nasiri H, Amini-Parsa V (2014) Land suitability assessment for wind power plant site selection using ANP-DEMATEL in a GIS environment: case study of Ardabil province, Iran. Environ Monit Assess 186:6695–6709. https://doi.org/10.1007/s10661-014-3883-6
Barzehkar M, Mobarghaee Dinan N, Salemi A (2016) Environmental capability evaluation for nuclear power plant site selection: a case study of Sahar Khiz Region in Gilan Province, Iran. J Environ Earth Sci 75:1016. https://doi.org/10.1007/s12665-016-5825-9
Baseer MA, Rehman S, Meyer JP, Mahbub Alam M (2017) GIS-based site suitability analysis for wind farm development in Saudi Arabia. J Energy 141:1166–1176. https://doi.org/10.1016/j.energy.2017.10.016
Davtalab M, Alesheikh AA (2018) Spatial optimization of biomass power plant site using fuzzy analytic network process. Clean Technol Environ Policy 20:1033–1046. https://doi.org/10.1007/s10098-018-1531-5
Dhunny AZ, Doorga JRS, Allam Z, Lollchund MR, Boojhawon R (2019) Identification of optimal wind, solar and hybrid wind-solar farming sites using fuzzy logic modelling. J Energy 188:116056. https://doi.org/10.1016/j.energy.2019.116056
Díaz-Cuevas P (2018) GIS-based methodology for evaluating the wind-energy potential of territories: a case study from Andalusia (Spain). Energies 11(10):2789. https://doi.org/10.3390/en11102789
Díaz-Cuevas P, Domínguez-Bravo J, Prieto-Campos A (2019) Integrating MCDM and GIS for renewable energy spatial models: assessing the individual and combined potential for wind, solar and biomass energy in Southern Spain. Clean Technol Environ Policy 21:1855–1869. https://doi.org/10.1007/s10098-019-01754-5
Doorga JRS, Rughooputh SDDV, Boojhawon R (2019) Multi-criteria GIS-based modelling technique for identifying potential solar farm sites: a case study in Mauritius. Renew Energy 133:1201–1219. https://doi.org/10.1016/j.renene.2018.08.105
Gasparovic I, Gasparovic M (2019) Determining optimal solar power plant locations based on remote sensing and GIS methods: a case study from Croatia. Remote Sens 11(12):1481. https://doi.org/10.3390/rs11121481
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
Iran Energy Efficiency Organization (2018) Average annual wind energy speed at a height of 100 meters. In: Atlas of the country’s renewable and clean energy sources, 1st edn. Tehran, pp 80–85
Isfahan Province Management and Planning Organization (2018). Land use planning. http://www.mpo-es.ir/index.aspx?sub=11
Jahangiri M, Ghaderi R, Haghani A, Nematollahi O (2016) Finding the best locations for establishment of solar-wind power stations in Middle-East using GIS: a review. Renew Sustain Energy Rev 66:38–52. https://doi.org/10.1016/j.rser.2016.07.069
Janke JR (2010) Multicriteria GIS modeling of wind and solar farms in Colorado. Renew Energy 35:2228–2234. https://doi.org/10.1016/j.renene.2010.03.014
Koc A, Turk S, Sahin 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 26:32298–32310. https://doi.org/10.1007/s11356-019-06260-1
Konstantinos I, Georgios T, Garyfalos A (2019) A decision support system methodology for selecting wind farm installation locations using AHP and TOPSIS: case study in Eastern Macedonia and Thrace region, Greece. Energy Policy 132:232–246. https://doi.org/10.1016/j.enpol.2019.05.020
Moradi S, Yousefi H, Noorollahi Y, Rosso D (2020) Multi-criteria decision support system for wind farm site selection and sensitivity analysis: case study of Alborz Province, Iran. Energy Strateg Rev 29:100478. https://doi.org/10.1016/j.esr.2020.100478
Nait Mensour O, El Ghazzani B, Hlimi B, Ihlal A (2019) A geographical information system-based multi-criteria method for the evaluation of solar farms locations: a case study in Souss-Massa area, southern Morocco. Energy 182:900–919. https://doi.org/10.1016/j.energy.2019.06.063
Noorollahi E, Fadai D, Akbarpour Shirazi M, Ghodsipour SH (2016) Land suitability analysis for solar farms exploitation using GIS and fuzzy analytic hierarchy process (FAHP)—a case study of Iran. Energies 9:643. https://doi.org/10.3390/en9080643
Pambudi G, Nananukul N (2019) A hierarchical fuzzy data envelopment analysis for wind turbine site selection in Indonesia. Energy Rep 5:1041–1047. https://doi.org/10.1016/j.egyr.2019.08.002
Rezaian S, Jozi SA (2016) Application of multi criteria decision-making technique in site selection of wind farm—a case study of Northwestern Iran. J Indian Soc Remote 44(5):803–809. https://doi.org/10.1007/s12524-015-0517-6
Saaty TL (1980) The analytical hierarchy process, planning, priority setting, resource allocation (decision making serious), 1st edn. McGraw-Hill, New York, pp 154–155
Solangi YA, Ali 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 26:30286–30302. https://doi.org/10.1007/s11356-019-06172-0
Suuronen A, Lensu A, Kuitunen M, Andrade-Alvear R, Guajardo Celis N, Miranda M, Perez M, Kukkonen JVK (2017) Optimization of photovoltaic solar power plant locations in northern Chile. J Environ Earth Sci 76:824. https://doi.org/10.1007/s12665-017-7170-z
Tavana M, Santos Arteaga FJ, Mohammadi S, Alimohammadi M (2017) A fuzzy multi-criteria spatial decision support system for solar farm location planning. Energy Strateg Rev 18:93–105. https://doi.org/10.1016/j.esr.2017.09.003
The World Bank (2017) Longterm yearly average of diffuse horizontal irradiation—Islamic Republic of Iran. Solargis 19115:2003/19139
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 19:2231–2244. https://doi.org/10.1007/s10098-017-1405-2
Villacreses G, Gaona G, Martínez-Gómez J, Juan Jijón D (2017) Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: the case of continental Ecuador. Renew Energy 109:275–286. https://doi.org/10.1016/j.renene.2017.03.041
Watson JJW, Hudson MD (2015) Regional Scale wind farm and solar farm suitability assessment using GIS-assisted multi-criteria evaluation. Landsc Urban Plan 138:20–31. https://doi.org/10.1016/j.landurbplan.2015.02.001
Wu B, Yip TL, Xie L, Wang Y (2018) A fuzzy-MADM based approach for site selection of offshore wind farm in busy waterways in China. Ocean Eng 168:121–132. https://doi.org/10.1016/j.oceaneng.2018.08.065
Xu Y, Li Y, Zheng L, Cui L, Li S, Li W, Cai Y (2020) Site selection of wind farms using GIS and multi-criteria decision making method in Wafangdian, China. Energy 207:118222. https://doi.org/10.1016/j.energy.2020.118222
Yushchenko A, de Bono A, Chatenoux B, Kumar Patel M, Ray N (2018) GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa. Renew Sustain Energy Rev 81:2088–2103. https://doi.org/10.1016/j.rser.2017.06.021
Zoghi M, Ehsani AH, Sadat M, Amiri MJ (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. Renew Sustain Energy Rev 68:986–996. https://doi.org/10.1016/j.rser.2015.07.014
Acknowledgments
We would like to express our thanks from Dr. Reza Samadi of the Energy Efficiency Organization of Iran for assisting us with this project. Analysis and preparation of the final paper were supported by the European Regional Development Fund program Mobilitas Plus, reg.nr 2014-2020.4.01.16-0024 and Estonian Research Council Grant IUT33-3.
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Barzehkar, M., Parnell, K.E., Mobarghaee Dinan, N. et al. Decision support tools for wind and solar farm site selection in Isfahan Province, Iran. Clean Techn Environ Policy 23, 1179–1195 (2021). https://doi.org/10.1007/s10098-020-01978-w
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DOI: https://doi.org/10.1007/s10098-020-01978-w