Güneş enerjisi santrali kurulabilecek alanların AHP yöntemi kullanılarak CBS destekli haritalanması

Öz

Yenilenebilir enerji kaynakları temiz enerji kaynaklarıdır ve diğer enerji kaynaklarına göre çok daha düşük çevresel etkiye sahiptir. Türkiye'de yenilenebilir enerjiler son on yıl içinde hızla gelişmiştir. Güneş ve rüzgâr enerjisi ile ilgili yenilenebilir enerji üretimi en baskın katılımcı olarak ortaya çıkmıştır. Güneş enerjisi santrallerinin yer seçimi karar vericiler için karmaşık bir mekânsal karar problemidir. Bu çalışmanın amacı, Konya ili Çumra ilçesinde güneş enerjisi santrali kurulabilecek en uygun alanların Coğrafi Bilgi Sistemi (CBS) ve Çok Kriterli Karar Verme (ÇKKV) yöntemlerinden biri olan Analitik Hiyerarşi Süreci (AHP) kullanılarak belirlenmesidir. Elde edilen sonuçlara göre, çalışma alanının %1.5 gibi bir kısmı güneş enerjisi santrali kurulması için yüksek uygunlukta, %26’lık bir kısmı orta uygunlukta ve %11’lik bir kısmı ise düşük uygunluktadır.

Anahtar Kelimeler

• Yenilenebilir enerji,Çok kriterli değerlendirme,Coğrafi bilgi sistemi

Kaynakça

1. Uyan M. “GIS-Based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey”. Renewable & Sustainable Energy Reviews, 28, 11-17, 2013.
2. Minelli A, Marchesini I, Taylor FE, De Rosa P, Casagrande L, Cenci M. “An open source GIS tool to quantify the visual impact of wind turbines and photovoltaic panels”. Environmental Impact Assessment Review, 49, 70-78, 2014.
3. Lee AHI, Lin CY, Kang HY, Lee WH. “An integrated performance evaluation model for the photovoltaics industry”. Energies, 5, 1271-1291, 2012.
4. Yue CD, Chen CS, Lee YC. “Integration of optimal combinations of renewable energy sources into the energy supply of Wang-An Island”. Renewable Energy, 86, 930–942, 2016.
5. Arnold U, Yildiz Ö. “Economic risk analysis of decentralized renewable energy infrastructures-A Monte Carlo Simulation approach”. Renewable Energy, 77, 227–239, 2015.
6. Cheng-Wei, C, Chien-Yao L, Kun-Hung C, Yaow-Ming C. “Modeling and controller design of a semiisolated multiinput converter for a hybrid PV/Wind power charger system”. IEEE Transactions on Power Electronics, 30(9), 4843-4853, 2015.
7. Mondino EB, Fabrizio E, Chiabrando R. “Site selection of large ground-mounted photovoltaic plants: A GIS decision support system and an application to Italy”. International Journal of Green Energy, 12(5), 515-525, 2015.
8. Topcu C, Yünsel DT. “Yenilenebilir Enerji Raporu”. http://www.cka.org.tr/dosyalar/enerji.pdf (19.01.2016).

9. Erol İ, Sencer S, Ozmen A, Searcy C. “Fuzzy MCDM framework for locating a nuclear power plant in Turkey”. Energy Policy, 67, 186-197, 2014.
10. Wu Y, Geng S. “Multi-criteria decision making on selection of solar-wind hybrid power station location: A case of China”. Energy Conversion and Management, 81, 527-533, 2014.
11. Khan D, Samadder SR. “A simplified multi-criteria evaluation model for landfill site ranking and selection based on AHP and GIS”. Journal of Environmental Engineering and Landscape Management, 23(4), 267-278, 2015.
12. Guo S, Zhao H. “Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective”. Applied Energy, 158, 390-402, 2015.
13. Xu JP, Song XL, Wu YM, Zeng ZQ. “GIS-modelling based coal-fired power plant site identification and selection”. Applied Energy, 159, 520-539, 2015.
14. Chen, K, Blong R, Jacobson C. “MCE-RISK: Integrating multicriteria evaluation and GIS for risk decision-making in natural hazards”. Environmental Modelling & Software, 16(4), 387-397, 2001.
15. Tapur T, Tuncer B. “Çumra ilçesinde kırsal yerleşmeler”. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 27, 277-295, 2012.
16. Yenilenebilir Enerji Genel Müdürlüğü. “Güneş Potansiyel Atlası”. http://www.eie.gov.tr/MyCalculator/pages/42.aspx (22.01.2016).
17. Uyan, M. Arazi Düzenlemesi Çalışmalarında Mekansal Karar Destek Sistemleri Kurulumu ve Uygulaması. Doktora Tezi, Selçuk Üniversitesi, Konya, Türkiye, 2011.
18. Kazakis N, Kougias I, Patsialis T. “Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece”. Science of the Total Environment, 538, 555-563, 2015.
19. Cay T, Uyan M. “Evaluation of reallocation criteria in land consolidation studies using the Analytic Hierarchy Process (AHP)”. Land Use Policy, 30(1), 541-548, 2013.
20. Saaty TL. “How to make a decision: the analytic hierarchy process”. European Journal of Operational Research, 48(1), 9-26, 1990.
21. Tahri M, Hakdaoui M, Maanan M. “The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco”. Renewable & Sustainable Energy Reviews, 51, 1354-1362, 2015.
22. Watson JJW, Hudson MD. “Regional scale wind farm and solar farm suitability assessment using GIS-assisted multi-criteria evaluation”. Landscape and Urban Planning, 138, 20-31, 2015.
23. Sanchez-Lozano JM, Teruel-Solano J, Soto-Elvira PL, Garcia-Cascales MS. “Geographical ınformation systems (GIS) and multi-criteria decision making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain”. Renewable & Sustainable Energy Reviews, 24, 544-556, 2013.
24. Hang, Q, Jun Z, Xiao Y, Junkui C. “Prospect of concentrating solar power in China-the sustainable future”. Renewable and Sustainable Energy Reviews, 12(9), 2505-2514, 2008.
25. Effat, HA. "Selection of potential sites for solar energy farms in ısmailia governorate, egypt using SRTM and multicriteria analysis". International Journal of Advanced Remote Sensing and GIS, 2(1), 205-220, 2013.
26. Suh J, Brownson JRS. "Solar farm suitability using geographic ınformation system fuzzy sets and analytic hierarchy processes: Case study of Ulleung Island, Korea". Energies, 9(8), 648-671, 2016.
27. Yun-na, W, Yi-sheng Y, Tian-tian F, Li-na K, Wei L, Luo-jie F. “Macro-site selection of wind/solar hybrid power station based on Ideal Matter-Element Model”. Electrical Power and Energy Systems, 50, 76-84, 2013.
28. Lozano, JMS, Solano JT, Elvira PLS, Cascales MSG. “Geographical information systems (GIS) and Multi-criteria decision making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain”. Renewable and Sustainable Energy Reviews, 24, 544-556, 2013.
29. Janke JR. “Multicriteria GIS modeling of wind and solar farms in Colorado”. Renewable Energy, 35(10), 2228-2234, 2010.