Spatial multi-criteria decision analysis for site selection of wind power plants: a case study

References

• Aitzhanov, C. 2016. Site Selection Technique for Wind Power Plants Utilizing Geographical Information Systems (GIS) and Analytical Hierarchy Process (AHP). Master’s thesis, Istanbul Technical University. Accessed December 20, 2022. https://polen.itu.edu.tr/items/680f2ec9-1d12-4ec8-809e-5220eada3820.
   Google Scholar
• Akinci, H., and A. Yavuz Özalp. 2022. Optimal site selection for solar photovoltaic power plants using geographical information systems and fuzzy logic approach: A case study in Artvin, Turkey. Arabian Journal of Geosciences 15 (9):857. doi:10.1007/s12517-022-10129-y.
   Google Scholar
• Akın, S., and O. Zeybek. 2005. Electricity generation from wind. In III. Renewable Energy Resources Symposium of Chamber of Electric Engineers of the Union of Chambers of Turkish Engineers and Architects. Mersin, Türkiye, October 19-21, 2005. Accessed December 26, 2022. https://www.emo.org.tr/ekler/0e207ab6946b5d7_ek.pdf.
   Google Scholar
• Al-Shabeeb, A. R., R. Al-Adamat, and A. F. Al Mashagbah. 2016. AHP with GIS for a preliminary site selection of wind turbines in the North West of Jordan. International Journal of Geosciences 7 (10):1208–21. doi:10.4236/IJG.2016.710090.
   Google Scholar
• Al-Yahyai, S., Y. Charabi, A. Gastli, and A. Al-Badi. 2012. Wind farm land suitability indexing using multi-criteria analysis. Renewable Energy 44:80–87. doi:10.1016/j.renene.2012.01.004.
   Web of Science ®Google Scholar
• Amjad, F., E. B. Agyekum, L. A. Shah, and A. Abbas. 2021. Site location and allocation decision for onshore wind farms, using spatial multi-criteria analysis and density-based clustering. A techno-economic-environmental assessment, Ghana. Sustainable Energy Technologies and Assessments 47:101503. doi:10.1016/j.seta.2021.101503.
   Web of Science ®Google Scholar
• Arca, D., and H. Keskin Citiroglu. 2022. Geographical information systems-based analysis of site selection for wind power plants in Kozlu District (zonguldak-NW Turkey) by multi-criteria decision analysis method. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44 (4):10720–10732. doi:10.1080/15567036.2020.1834030.
   Web of Science ®Google Scholar
• Asadi, M., K. Pourhossein, and B. Mohammadi-Ivatloo. 2023. GIS-assisted modeling of wind farm site selection based on support vector regression. Journal of Cleaner Production 390:135993. doi:10.1016/j.jclepro.2023.135993.
   Web of Science ®Google Scholar
• Asadi, M., M. Ramezanzade, and K. Pourhossein. 2023. A global evaluation model applied to wind power plant site selection. Applied Energy 336:120840. doi:10.1016/j.apenergy.2023.120840.
   Web of Science ®Google Scholar
• Aydin, N. Y., E. Kentel, and S. Duzgun. 2010. GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey. Renewable and Sustainable Energy Reviews 14 (1):364–373. doi:10.1016/j.rser.2009.07.023.
   Web of Science ®Google Scholar
• Ayodele, T. R., A. S. O. Ogunjuyigbe, O. Odigie, and J. L. Munda. 2018. A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria. Applied Energy 228:1853–1869. doi:10.1016/j.apenergy.2018.07.051.
   Web of Science ®Google Scholar
• Azizi, A., B. Malekmohammadi, H. R. Jafari, H. Nasiri, and V. A. Parsa. 2014. Land suitability assessment for wind power plant site selection using ANP-DEMATEL in a GIS environment: Case study of Ardabil province, Iran. Environmental Monitoring and Assessment 186 (10):6695–709. doi:10.1007/s10661-014-3883-6.
   PubMed Web of Science ®Google Scholar
• Browning, N. 2021. World must triple clean energy investment by 2030 to curb climate change – IEA. Accessed December 29, 2022. https://www.weforum.org/agenda/2021/10/iea-international-energy-markets-environment-renewables/
   Google Scholar
• Canco, I., D. Kruja, and T. Iancu. 2021. AHP, a reliable method for quality decision making: A case study in business. Sustainability 13 (24):13932. doi:10.3390/su132413932.
   Web of Science ®Google Scholar
• Coruhlu, Y. E., N. Solgun, V. Baser, and F. Terzi. 2022. Revealing the solar energy potential by integration of GIS and AHP in order to compare decisions of the land use on the environmental plans. Land Use Policy 113:105899. doi:10.1016/j.landusepol.2021.105899.
   Web of Science ®Google Scholar
• Çanakkale Provincial Directorate of Culture and Tourism. 2019. Geography. Accessed December 12, 2022. https://canakkale.ktb.gov.tr/TR-70467/cografya.html.
   Google Scholar
• Demir, A. 2022. Turkey evaluation at the Paris Agreement and the 26th conference of the parties (COP 26): Obligations and responsibilities. Biological Diversity and Conservation 15 (2):162–170. doi:10.46309/biodicon.2022.1088410.
   Google Scholar
• Derse, O., and E. Yılmaz. 2022. Optimal site selection for wind energy: A case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44 (3):6660–6677. doi:10.1080/15567036.2021.1955048.
   Web of Science ®Google Scholar
• Diaz-Cuevas, P., J. Domínguez-Bravo, and A. Prieto-Campos. 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 Techn Environ Policy 21 (9):1855–69. doi:10.1007/s10098-019-01754-5.
   Google Scholar
• Doljak, D., G. Stanojević, and D. Miljanović. 2021. A GIS-MCDA based assessment for siting wind farms and estimation of the technical generation potential for wind power in Serbia. International Journal of Green Energy 18 (4):363–380. doi:10.1080/15435075.2020.1865363.
   Web of Science ®Google Scholar
• Gorsevski, P. V., S. C. Cathcart, G. Mirzaei, M. M. Jamali, X. Ye, and E. Gomezdelcampo. 2013. A group-based spatial decision support system for wind farm site selection in Northwest Ohio. Energy Policy 55:374–385. doi:10.1016/j.enpol.2012.12.013.
   Web of Science ®Google Scholar
• Ilhan, A., M. Bilgili, M. Sari, and B. Sahin. 2022. Economic analyses of onshore commercial large scale wind power plant installed in Turkey. Niğde Ömer Halisdemir University Journal of Engineering Sciences 11 (1):170–76. doi:10.28948/ngumuh.866312.
   Google Scholar
• Jorge-García, D., and V. Estruch-Guitart. 2022. Comparative analysis between AHP and ANP in prioritization of ecosystem services - a case study in a rice field area raised in the Guadalquivir marshes (Spain). Ecological Informatics 70:101739. doi:10.1016/j.ecoinf.2022.101739.
   Web of Science ®Google Scholar
• Kamati, K., J. Smit, and S. Hull. 2023. Multicriteria decision method for siting wind and solar power plants in central North Namibia. Geomatics 3 (1):47–67. doi:10.3390/geomatics3010002.
   Google Scholar
• Karaaslan, A., and M. Gezen. 2022. The evaluation of renewable energy resources in Turkey by integer multi-objective selection problem with interval coefficient. Renewable Energy 182:842–54. doi:10.1016/j.renene.2021.10.053.
   Web of Science ®Google Scholar
• Karipoğlu, F., M. S. Genç, and K. Koca. 2021. Determination of the most appropriate site selection of wind power plants based geographic information system and multi-criteria decision-making approach in Develi, Turkey. International Journal of Sustainable Energy Planning and Management 30:97–114. doi:10.5278/ijsepm.6242.
   Google Scholar
• Kasper, D. 2022. Wind energy and power calculations. Accessed December 26, 2022. https://www.e-education.psu.edu/emsc297/node/649.
   Google Scholar
• Kocabaldır, C., and M. A. Yücel. 2023. GIS-based multicriteria decision analysis for spatial planning of solar photovoltaic power plants in Çanakkale province, Turkey. Renewable Energy 212:455–467. doi:10.1016/j.renene.2023.05.075.
   Web of Science ®Google Scholar
• Latinopoulos, D., and K. Kechagia. 2015. A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece. Renewable Energy 78:550–560. doi:10.1016/j.renene.2015.01.041.
   Web of Science ®Google Scholar
• McCamey, D. 2021. What we know-and do not know- about achieving a national-scale 100% renewable energy grid. Accessed February 6, 2023. https://www.nrel.gov/news/features/2021/what-we-know-and-dont-know-about-achieving-a-national-scale-100-renewable-electric-grid.html.
   Google Scholar
• Moradi, S., H. Yousefi, Y. Noorollahi, and D. Rosso. 2020. Multi-criteria decision support system for wind farm site selection and sensitivity analysis: Case study of Alborz Province, Iran. Energy Strategy Reviews 29:100478. doi:10.1016/j.esr.2020.100478.
   Web of Science ®Google Scholar
• Noorollahi, Y., H. Yousefi, and M. Mohammadi. 2016. Multi-criteria decision support system for wind farm site selection using GIS. Sustainable Energy Technologies and Assessments 13:38–50. doi:10.1016/j.seta.2015.11.007.
   Web of Science ®Google Scholar
• Özgören, Y., and S. Koyuncu. 2018. Current status and optimization of electrical grids in Çanakkale region for renewable energy systems as future technology. Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi 4 (2):212–36. doi:10.28979/comufbed.463579.
   Google Scholar
• Öztürk, B., and H. Serkendiz. 2018. Location selection for wind turbines in Balıkesir, NW Turkey, using GIS. International Journal of Environment & Geoinformatics 5 (3):284–295. doi:10.30897/ijegeo.400025.
   Google Scholar
• Raza, M. A., M. Yousif, M. Hassan, M. Numan, and S. A. A. Kazmi. 2023. Site suitability for solar and wind energy in developing countries using combination of GIS- AHP; a case study of Pakistan. Renewable Energy 206:180–91. doi:10.1016/j.renene.2023.02.010.
   Web of Science ®Google Scholar
• Republic of Türkiye Ministry of Energy and Natural Resources. 2022a. Electricity. Accessed December 29, 2022. https://enerji.gov.tr/bilgi-merkezi-enerji-elektrik.
   Google Scholar
• Republic of Türkiye Ministry of Energy and Natural Resources. 2022b. Wind. Accessed December 29, 2022. https://enerji.gov.tr/eigm-yenilenebilir-enerji-kaynaklar-ruzgar.
   Google Scholar
• Republic of Türkiye Ministry of Foreign Affairs. 2022a. Türkiye’s International Energy Strategy. Accessed February 6, 2023. https://www.mfa.gov.tr/turkeys-energy-strategy.en.mfa.
   Google Scholar
• Republic of Türkiye Ministry of Foreign Affairs. 2022b. UN framework convention on climate change. Accessed May 11, 2023. https://www.mfa.gov.tr/bm-iklim-degisikligi-cerceve-sozlesmesi.tr.mfa.
   Google Scholar
• Saaty, T. L. 1980. The analytical hierarchy process. New York: McGraw-Hill.
   Google Scholar
• Shorabeh, S. N., H. K. Firozjaei, M. K. Firozjaei, M. Jelokhani-Niaraki, M. Homaee, and O. Nematollahi. 2022. The site selection of wind energy power plant using GIS-multi-criteria evaluation from economic perspectives. Renewable and Sustainable Energy Reviews 168:112778. doi:10.1016/j.rser.2022.112778.
   Web of Science ®Google Scholar
• South Marmara Development Agency (SMDA). 2019. Leading Cities in Wind Energy: Balıkesir and Çanakkale. Accessed December 11, 2022. https://www.gmka.gov.tr/haber/ruzgar-enerjisinde-lider-sehirler-balikesir-ve-canakkale.
   Google Scholar
• South Marmara Development Agency (SMDA). 2023. Renewable Energy in Çanakkale. Accessed August 20, 2023. https://www.investincanakkale.com/en/sectors/renewable-energy-in-canakkale.
   Google Scholar
• Şenlik, İ., R. Çınar, Ö. Çetin, Ç. Efe, and T. Gençoğlu. 2018. South Marmara Electrical Energy Report 2018. Bursa Branch of the Chamber of Electric Engineers of the Union of Chambers of Turkish Engineers and Architects. Accessed August 20, 2023. https://www.emo.org.tr/ekler/ac53d16b0e46456_ek.pdf.
   Google Scholar
• Tegou, L. I., H. Polatidis, and D. A. Haralambopoulos. 2010. Environmental management framework for wind farm siting: Methodology and case study. Journal of Environmental Management 91 (11):2134–2147. doi:10.1016/j.jenvman.2010.05.010.
   PubMed Web of Science ®Google Scholar
• Tercan, E., A. Eymen, T. Urfalı, and B. O. Saracoglu. 2021. A sustainable framework for spatial planning of photovoltaic solar farms using GIS and multi-criteria assessment approach in Central Anatolia, Turkey. Land Use Policy 102:105272. doi:10.1016/j.landusepol.2020.105272.
   Web of Science ®Google Scholar
• Tercan, E., S. Tapkın, D. Latinopoulos, M. A. Dereli, A. Tsiropoulos, and M. F. Ak. 2020. A GIS-based multi-criteria model for offshore wind energy power plants site selection in both sides of the Aegean Sea. Environmental Monitoring and Assessment 192 (10):652. doi:10.1007/s10661-020-08603-9.
   PubMed Web of Science ®Google Scholar
• Turkish State Meteorological Service 2nd Regional Directorate. 2011. Climate Status of Çanakkale Province. Accessed December 30, 2022. https://izmir.mgm.gov.tr/FILES/iklim/canakkale_iklim.pdf.
   Google Scholar
• UN Department of Economic and Social Affairs. 2023. The 17 goals. Accessed May 11, 2023. https://sdgs.un.org/goals.
   Google Scholar
• Uyan, M., and O. L. Dogmus. 2023. An integrated GIS-Based ANP analysis for selecting solar farm installation locations: Case study in Cumra Region, Turkey. Environmental Modeling & Assessment 28:105–19. doi:10.1007/s10666-022-09870-1.
   Web of Science ®Google Scholar
• Van Haaren, R., and V. Fthenakis. 2011. GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State. Renewable and Sustainable Energy Reviews 15 (7):3332–3340. doi:10.1016/j.rser.2011.04.010.
   Web of Science ®Google Scholar
• Wind Energy Department of the Technical University of Denmark. 2018. Global wind atlas 2.3 released. Accessed December 15, 2022. https://www.wasp.dk/news/nyhed?id=b0c91e46-31f4-4864-acf9-32f293a03491.
   Google Scholar
• Xu, Y., Y. Li, L. Zheng, L. Cui, S. Li, W. Li, and Y. Cai. 2020. Site selection of wind farms using GIS and multi-criteria decision making method in Wafangdian, China. Energy 207:118222. doi:10.1016/j.energy.2020.118222.
   Web of Science ®Google Scholar
• Yegizaw, E. S., and D. A. Mengistu. 2023. Multi-criteria decision analysis for wind farm location selection in Bahir Dar City and its surroundings, Northwestern Ethiopia. Environmental Monitoring and Assessment 195 (5):559. doi:10.1007/s10661-023-11114-y.
   PubMed Web of Science ®Google Scholar
• Yildiz, S. S. 2023. Determining wind energy potential using geographic information system functions: A case study in Balıkesir, Turkey. Applied Science 13 (16):9183. doi:10.3390/app13169183.
   Google Scholar
• Zalhaf, A. S., B. Elboshy, K. M. Kotb, Y. Han, A. H. Almaliki, R. M. H. Aly, and M. R. Elkadeem. 2022. A high-resolution wind farms suitability mapping using GIS and fuzzy AHP approach: A national-level case study in Sudan. Sustainability 14 (1):358. doi:10.3390/su14010358.
   Web of Science ®Google Scholar