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Gelecek Vizyonlar Dergisi 2025, Clt. 9(1) 55-75
GIS-AHP Based wind Power Plant Site Selection Analysis: A Case Study of Şarköy (Tekirdağ)
ss. 55 - 75
Yayın Tarihi: Haziran 30, 2025 | Görüntüleme Sayısı: 0/0 | İndirilme Sayısı: 0/0
Özet
The population increase trend in Türkiye, unite with the rapidly growing urbanization process and economic development increases the demand for energy every passing day. The circumstance obligates the achievement of sustainability in energy production in Türkiye, a country poor in fossil fuel resources. Investments such as wind power plants to be held on a local scale are one of the steps that will be beneficial both in meeting energy demand and maintain continuity. In this regard, the main objective of the study is to determine suitable areas for the installation of wind power plants (WPP) in the Şarköy district of Tekirdağ and to offer a suggestion to investors and decision makers. In this research analytic hierarchy process (AHP) and Geographic Information Systems (GIS) has been used in an integrated manner. A pairwise comparison matrix table was prepared for the criteria determined in accordance with different experts opinons in the literature and criteria weightings were made. Additionally, suitable areas for wind farm installation in Şarköy were identified via the transfer and analysis of data obtained from various establishments and open sources into a GIS environment. The findings acquired from the study shows that the wind speed is the most affecting criteria in WPP site selection. Especially in the north and northeast of the district, wind speed averages reach the maximum level. Therefore, surface shapes such as hilltops and ridges, where criteria like slope and land use are also convenient, are highly suitable for WPP construction. Particularly the north of Ucmakdere, Güzelköy and Gaziköy neighborhoods are the areas with the most favorable potential. The “less suitable” and “suitable” areas for WPP installation show a heterogeneous distribution throughout the district. On the other hand, a three-dimensional turbine model was used in the study, and twelve wind turbines were placed on four sample sites determined to be “highly suitable” for WPP construction and their coordinates were given. The AHP method used in the study provides consistent results and its functionality in this type of analysis has also been revealed. The findings obtained from the study offers a guiding framework to investors and decisions makers. It will be possible to obtain expressive results by conducting appropriate technical and economic analyses.
Anaktar kelimeler: Energy Geography, Wind Energy, Site Selection, Multi-Criteria Decision-Making (MCDM), Spatial Suitability, Şarköy
APA 7th edition
TUNALI, E. (2025). GIS-AHP Based wind Power Plant Site Selection Analysis: A Case Study of Şarköy (Tekirdağ). Gelecek Vizyonlar Dergisi, 9(1), 55-75.
Harvard
TUNALI, E. (2025). GIS-AHP Based wind Power Plant Site Selection Analysis: A Case Study of Şarköy (Tekirdağ). Gelecek Vizyonlar Dergisi, 9(1), pp. 55-75.
Chicago 16th edition
TUNALI, EMRE (2025). "GIS-AHP Based wind Power Plant Site Selection Analysis: A Case Study of Şarköy (Tekirdağ)". Gelecek Vizyonlar Dergisi 9 (1):55-75.
Aitzhanov, C. (2016). Site Selection Technique For Wind Turbine Power Plants Utilizing Geographical Information Systems (GIS) and Analytical Hierarchy Process (AHP). (Master Thesis). Istanbul Technical University.
Akbaş, B., Akdeniz, N., Aksay, A., Altun, İ.E., Balcı, V., Bilginer, E., Bilgiç, T., Duru, M., Ercan, T., Gedik, İ., Günay, Y., Güven, İ.H., Hakyemez, H.Y., Konak, N., Papak, İ., Pehlivan, Ş., Sevin, M., Şenel, M., Tarhan, N., Turhan, N., Türkecan, A., Ulu, Ü., Uğuz, M.F., Yurtsever, A. ve diğerleri,. (2011). 1:1.250.000 ölçekli Türkiye Jeoloji Haritası. Maden Tetkik ve Arama Genel Müdürlüğü Yayını, Ankara-Türkiye.
Akkaya, N. (2019). Rüzgar enerji santralleri için uygun alanların coğrafi bilgi sistemi (CBS) ile belirlenmesi: Tekirdağ ili örneği (Yayınlanmamış yüksek lisans tezi). Tekirdağ: Tekirdağ Namık Kemal Üniversitesi.
Akova, İ. (2016). Enerji Kullanımındaki Değişimler. Nobel Akademi Yayıncılık.
Albraheem, L., & AlAwlaqi, L. (2023). Geospatial analysis of wind energy plant in Saudi Arabia using a GIS-AHP technique. Energy Reports, 9, pp. 5878-5898. https://doi.org/10.1016/j.egyr.2023.05.032
Ali, S., Lee, S.-M., & Jang, C.-M. (2017). Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea. Energies, 10(12), p. 2072. https://doi.org/10.3390/en10122072
Arca, D., & Keskin Citiroglu, H. (2020). 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), pp. 10720-10732. https://doi.org/10.1080/15567036.2020.1834030
Arı, E., & Gencer, C. (2020). The use and comparison of a deterministic, a stochastic, and a hybrid multiple-criteria decision-making method for site selection of wind power plants: An application in Turkey. Wind Engineering, 44(1), pp. 60-74. https://doi.org/10.1177/0309524X19849831
Atici, K. et al. (2015). A GIS-based Multiple Criteria Decision Analysis approach for wind power plant site selection. Utilities Policy, 37, pp. 86-96. https://doi.org/10.1016/j.jup.2015.06.001
Aydın, İ. (2014). Balıkesir’de Rüzgar Enerjisi. Doğu Coğrafya Dergisi, 18(29), s. 29-50.
Aydın, N., Kentel Erdoğan, E., & Duzgun, H. (2013). GIS-based site selection methodology for hybrid renewable energy systems: A case study from western Turkey. Energy Conversion and Management, 70, pp. 90-106. https://doi.org/10.1016/j.enconman.2013.02.004
Ayodele, T., Ogunjuyigbe, A., Odigie, O., & Munda, J. (tarih yok). 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, pp. 1853-1869. http://dx.doi.org/10.1016/j.apenergy.2018.07.051
Azadeh, A., Ghaderi, S., & Nasrollahi, M. (2011). Location optimization of wind plants in Iran by an integrated hierarchical Data Envelopment Analysis. Renewable Energy, 36, pp. 1621-1631. https://doi.org/10.1016/j.renene.2010.11.004
Azizi, A., Malekmohammadi, B., Jafari, H. et al. (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, pp. 6695–6709. https://doi.org/10.1007/s10661-014-3883-6
Baban, S., & Parry, T. (2001). Developing and Applying a GIS Assisted Approach to Locating Wind Farms in the UK. Renewable Energy, 24., pp. 59-71. https://doi.org/10.1016/S0960-1481(00)00169-5
Baseer, M., Rehman, S., Meyer, J., & Mahbub Alam, M. (2017). GIS-based site suitability analysis for wind farm development in Saudi Arabia. Energy, 141, pp. 1166-1176. https://doi.org/10.1016/j.energy.2017.10.016
Başbakanlık İstatistik Genel Direktörlüğü. (1937). 1935 Genel Nüfus Sayımı: Türkiye nüfusu (20 İlkteşrin 1935) (Yayın No. 75, Cilt 60). Mehmet Hâsân Basımevi.
Benti, N., Alemu, Y., Balta, M., et al. (2023). Site suitability assessment for the development of wind power plant in Wolaita area, Southern Ethiopia: an AHP-GIS model. Sci Rep, 13, p. 19811. https://doi.org/10.1038/s41598-023-47149-x
Cesarkero. (2020). Generic Wind Turbine (V136 125.5h 145d) is licensed under CC BY 4.0 via sketchfab. URL: https://skfb.ly/6TpQR.
Cunden, T., et al. (2020). Multi-level constraints wind farms siting for a complex terrain in a tropical region using MCDM approach coupled with GIS. Energy, 211, p. 118533. https://doi.org/10.1016/j.energy.2020.118533
De Ceunynck, T., et al. (2017). The effect of wind turbines alongside motorways on drivers’ behaviour. EJTIR, 17(4), pp. 477-494. http://dx.doi.org/10.18757/ejtir.2017.17.4.3210
Demir, A., Dinçer, A., Çiftçi, C., et al. (2024). Wind farm site selection using GIS-based multicriteria analysis with Life cycle assessment integration. Earth Sci Inform, 17, pp. 1591-1608. https://doi.org/10.1007/s12145-024-01227-4
Devlet İstatistik Enstitüsü. (1993). 1990 Genel Nüfus Sayımı: Nüfusun Sosyal ve Ekonomik Nitelikleri. Ankara: DİE.
Diaz-Cuevas, P. (2018). GIS-Based Methodology for Evaluating the Wind-Energy Potential of Territories: A Case Study from Andalusia (Spain). Energies, 11(10), p. 2789. https://doi.org/10.3390/en11102789
Doğanay, H., & Çoşkun, O. (2020). Enerji Kaynakları. Pegem Akademi.
Durak, M., & Özer, S. (2012). Rüzgar Enerjisi: Teori ve Uygulama . Ankara: Enermet Enerji.
Ekiz, S., Şirin, A., & Erener, A. (2022). En uygun rüzgâr enerji santrali yerlerinin coğrafi bilgi sistemleri ile belirlenmesi: Kocaeli ili örneği. Jeodezi ve Jeoinformasyon Dergisi, s. 59-79.
Enerji Atlası. (2025). Retrieved from https://www.enerjiatlasi.com/ruzgar-enerjisi-haritasi/tekirdag on 17.02.2025
Esri. (2024). ArcGIS Pro (Version 3.4.2) [Computer software]. Esri Inc.
European Environment Agency (EEA). (2018, Copernicus Land Monitoring Service CORINE Land Cover (CLC) 2018. Retrieved from https://land.copernicus.eu/en/products/corine-land-cover/clc2018 on 04.01.2025
Global Wind Energy Council (GWEC). (2024). Global Wind Report 2024. Retrieved from https://www.gwec.net/reports on 07.01.2025
Google. (2025). Google Earth Pro Desktop (version 7.3.6.10201).
Global Wind Atlas (GWA). (2024). Average Wind Speed at 100 meters. Retrieved from https://globalwindatlas.info/en/ on 15.12.2024
Janssen, C., et al. (2009). Tectonic evolution of the Ganos segment of the North Anatolian Fault (NW Turkey). Journal of Structural Geology, 31, pp. 11-28. https://doi.org/10.1016/j.jsg.2008.09.010
JAXA/METI. (2024). ALOS PALSAR L1.0 2006. Retrieved from https://search.asf.alaska.edu/ on 17.10.2024
Karamountzou, S., & Vagiona, D. (2023). Suitability and Sustainability Assessment of Existing Onshore Wind Farms in Greece. Sustainability, 15(3), p. 2095. https://doi.org/10.3390/su15032095
Kiper, T., Özyavuz, M., & Korkut, A. (2011). Doğal Peyzaj Özelliklerinin Kırsal Turizm Gelişimine Etkisi: Tekirdağ İli Şarköy İlçesi Örneği. Tekirdağ Ziraat Fakültesi Dergisi, 8(3), pp. 22-34.
Koç, A., et al. (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, pp. 32298-32310. https://doi.org/10.1007/s11356-019-06260-1
Konurhan, Z., & Başaran, E. (2023). Rüzgâr Enerji Santrali (RES) yer seçimi için BWM-CBS tabanlı bir yaklaşım: Tunceli örneği. Cografya Dergisi, 47, s. 15-28. https://doi.org/10.26650/JGEOG2023-1233104
Kurtar, Z. (2021). Mekansal Planlama ve Sürdürülebilirlik Perspektifinde Tekirdağ İli (Yayımlanmamış Doktora Tezi). İstanbul Üniversitesi.
Kültür ve Tabiat Varlıklarını Koruma Kanunu. (1983). 2863 sayılı Kültür ve Tabiat Varlıklarını Koruma Kanunu. T.C. Resmî Gazete, 23 Temmuz 1983 tarih ve 18113 sayılı.
Genç, M.S., Karipoğlu, F., Koca, K., et al. (2021). Suitable site selection for offshore wind farms in Turkey’s seas: GIS-MCDM based approach. Earth Sci Inform, 14, pp. 1213-1225. https://doi.org/10.1007/s12145-021-00632-3
Maris, G., & Flouros, F. (2021). The Green Deal, National Energy and Climate Plans in Europe: Member States’ Compliance and Strategies. Administrative Sciences, 11(3), p.75. https://doi.org/10.3390/admsci11030075
Moltames, R., et al. (2022). Multi-Criteria Decision Methods for Selecting a Wind Farm Site Using a Geographic Information System (GIS). Sustainability, 14(22), p. 14742. https://doi.org/10.3390/su142214742
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 Strategy Reviews, 29, p. 100478. https://doi.org/10.1016/j.esr.2020.100478
Mukhamediev, R., Mustakayev, R., Yakunin, K., Kiseleva, S., & Gopejenko, V. (2019). Multi-Criteria Spatial Decision Making Supportsystem for Renewable Energy Development in Kazakhstan. IEEE Access, 7., pp. 122275-122288. https://doi.org/10.1109/ACCESS.2019.2937627
Noorollahi, Y., Yousefi, H., & Mohammadi, M. (2016). Multi-criteria decision support system for wind farm site selection using GIS. Sustainable Energy Technologies and Assessments, 13. , pp. 38-50. https://doi.org/10.1016/j.seta.2015.11.007
OpenStreetMap. (2024). Retrieved from https://overpass-turbo.eu/ on 18.12.2024
Orman Kanunu. (1956). 6831 sayılı Orman Kanunu. T.C. Resmî Gazete (Mükerrer), 8 Eylül 1956 tarih ve 9402 sayılı. Retrieved from https://www.mevzuat.gov.tr/mevzuat?MevzuatNo=6831&MevzuatTur=1&MevzuatTertip=5 on 22.02.2025
Özalp, İ. (2019). Trakya’da Doğal Bitki Örtüsü ve Vejetasyon Çalışmalarını Konusunda Kısa Bir Değerlendirme. JOURNAL OF ANATOLIA AND BALKAN STUDIES, 2(3), s. 25-33.
Özşahin, E., & Kaya, D. (2024). Tekirdağ İlinde Rüzgar Enerjisi Santrali (RES) Kurulumu İçin Uygun Yerlerin Belirlenmesi. Karadeniz 16. Uluslararasi Uygulamalı Bilimler Kongresi Tam Metin Kitabı (s. 447-462). Bartın: Academy Global Publishing House, ISBN : 978-625-6283-62-6.
Özşahin, E., & Kaymaz, Ç. (2014). Rüzgar Enerji Santrallerinin (RES) Kuruluş Yeri Seçiminin CBS ile Analizi: Hatay Örneği TÜBAV Bilim Dergisi, 6(2), s. 1-18.
Rediske, G., et al. (2021). Wind power plant site selection: A systematic review . Renewable and Sustainable Energy Reviews, 140, p. 111293. https://doi.org/10.1016/j.rser.2021.111293
Rekik, S., & El Alimi, S. (2023). Optimal wind-solar site selection using a GIS-AHP based approach: A case Tunisia. Energy Conversion and Management: X, 18, p. 100355. https://doi.org/10.1016/j.ecmx.2023.100355
Saaty, R.W. (1987). The analytic hierarchy process—what it is and how it is used. Mathmetical Modelling, 9(3-5), pp. 161-176. https://doi.org/10.1016/0270-0255(87)90473-8
Saaty, T. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.
Sánchez-Lozano, J., García-Cascales, M., & Lamata, M. (2016). GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain. Applied Energy, 171, pp. 86-102. https://doi.org/10.1016/j.apenergy.2016.03.030
Shahid, A., Taweekun, J., Techato, K., Waewsak, J., & Gyawali, S. (2019). GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand. Renewable Energy, 132, pp. 1360-1372. https://doi.org/10.1016/j.renene.2018.09.035
Şenel, M., & Koç, E. (2015).Dünya’da ve Türkiye’de Rüzgar Enerjisi Durumu-Genel Değerlendirme. Mühendis Ve Makina, 56(663), s. 46-56.
T.C. Enerji ve Tabii Kaynaklar Bakanlığı. (2025). Aylık enerji ve tabii kaynaklar bülteni: Nisan 2025 (Sayı 4).
Tercan, E. (2021). Land suitability assessment for wind farms through best-worst method and GIS in Balıkesir province of Turkey. Sustainable Energy Technologies and Assessments, 47., pp. 101491. https://doi.org/10.1016/j.seta.2021.101491
Triemble Inc. (2025). SketchUp Desktop 2025.0 (Computer Software). URL: https://www.sketchup.com/en.
TÜİK. (2025). Adrese Dayalı Nüfus Kayıt Sistemi Sonuçları, 2024. Retrieved from https://biruni.tuik.gov.tr/medas/?kn=95&locale=tr on 21.02.2025
Urfalı, T., & Eymen, A. (2021). CBS ve AHP Yöntemi Yardımıyla Kayseri İli Örneğinde Rüzgâr Enerji Santrallerinin Yer Seçimi. Geomatik, 6(3), s. 227-237. https://doi.org/10.29128/geomatik.772453
Yaman, A. (2024). A GIS-based multi-criteria decision-making approach (GIS-MCDM) for determination of the most appropriate site selection of onshore wind farm in Adana, Turkey. Clean Techn Environ Policy, 26, pp. 4231-4254. https://doi.org/10.1007/s10098-024-02866-3
Yildiz, S. (2024). Spatial multi-criteria decision making approach for wind farm site selection: A case study in Balıkesir, Turkey. Renewable and Sustainable Energy Reviews, 192, p. 114158. https://doi.org/10.1016/j.rser.2023.114158
Yousefi, H., Motlagh, S., & Montazeri, M. (2022). Multi-Criteria Decision-Making System for Wind Farm Site-Selection Using Geographic Information System (GIS): Case Study of Semnan Province, Iran. Sustainability, 14(13), p. 7640. https://doi.org/10.3390/su14137640
