Optimal Site Selection for a Solar Power Plant in Turkey Using a Hybrid AHP-TOPSIS Method

Yıl 2018, Cilt: 14 Sayı: 4, 413 - 420, 28.12.2018

Merve Akçay Mehmet Atak

https://doi.org/10.18466/cbayarfbe.432432

Cited By: 8

Öz

Energy is an increasing need arising from the existence of mankind.
Electricity is one of the most important secondary energy sources. Obtaining of
electricity from fossil sources leads to negative consequences such as climate
change and environmental pollution. In addition, fossil resources are not endless. For this reason, the
importance of renewable energy sources that are sustainable and not harmful to
the environment such as fossil fuels is increases for electricity generation.
In this study, electricity generation with solar power is considered. There are some
factors to achieve efficiency in the projects of obtaining electric energy with
solar energy. One of the most important of these factors is to choose the right
place. There are multiple criteria that affect the correct location selection. Multiple
criteria decision making methods are suitable for site selection studies where
there are many criteria. In this study, Konya, Karaman, Burdur, Antalya,
Mersin, Van which are fortunate cities in Turkey in terms of sunbathing are
selected as alternatives. A hybrid AHP and TOPSIS method is used to select the
best alternative according to the sub-criteria determined under the economic,
technical, social and geographical main criteria. Criterion weights are found
by the AHP method and alternatives are ranked with the TOPSIS method. The
result of the study is that
Mersin is the best alternative for solar power plant and Mersin is followed by
Karaman, Burdur, Konya, Van and Antalya respectively.

Anahtar Kelimeler

Renewable Energy, Electricity, AHP, TOPSIS, Solar Power Plant, MCDM

Kaynakça

• 1. Özdemir, B, Özcan, B, Aladağ, Z, Güneş enerjisi santrali kuruluş yerinin AHS ve VIKOR yöntemlerine dayalı bütünleşik yaklaşım ile değerlendirilmesi, Erciyes University Journal of Science, 2017, 33(2), 16-34.
• 2. Akkaş, Ö. A, Erten, M. Y, Cam, E, İnanç, N, Optimal site selection for a solar power plant in the Central Anatolian Region of Turkey, International Journal of Photo energy, 2017, 1-13.
• 3. Sindhu, S, Nehra, V, Luthra, S, Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis: Case study of India, Renewable and Sustainable Energy Reviews, 2017, 73, 496-511.
• 4. Lozano, S. J. M, Cascales, G. M. S, Lamata, M. T, Comparative TOPSİS-ELECTRE TRI methods for optimal sites for photovoltaic solar farms: Case study in Spain, Journal of Cleaner Production, 2016, 127, 387-398.
• 5. Beltran, P. A, Gonzalez, F. C, Ferrando, J. P. P, Rubia, A. P, An AHP/ANP based multi-criteria decision approach for the selection of solar thermal power plant investment projects, Energy, 2014, 66(2014), 222-238.
• 6. 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, 2014, 81, 527-533.
• 7. Garni, H. Z. A, Awasthi, A, Solar PV power plant site selection using GIS-AHP based approach with application in Saudi Arabia, Applied Energy, 2017, 206, 1225-1240.
• 8. Saaty, R. W, The analytic hierarchy process what it is and how it is used, Mathl Modelling, 1987, 9(3-5), 161-176.
• 9. Yurdakul, M, İç, Y.T, Türk otomotiv firmalarının performans ölçümü ve analizine yönelik TOPSİS yöntemini kullanan bir örnek çalışma, Gazi University Journal of Engineering and Architecture, 2003, 18(1), 1-18.
• 10. Wang, Y, Elhag, T. M. S, Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment, Expert Systems with Applications, 2006, 31, 309-319.
• 11. Koçak, D, Çoğurcu, Y. E, Network modeli ile ağ analizi için çok kriterli karar verme yöntemleriyle karşilaştirmali çözüm, Gazi Journal of Economics and Business, 2015, 1-42.
• 12. Monjezi, M, Dehghani, H, Singh, T. N, Sayadi, A. R, Gholinejad, A, Application of TOPSIS method for selecting the most appropriate blast design, Arab J Geosci, 2012, 5, 95-101.
• 13. Elektrik Piyasası Kanunu. http://www.epdk.gov.tr, (accessed 18.03.2018).
• 14. T.C. Ekonomi Bakanlığı, Yatırım teşvik sistemi. https://www.ekonomi.gov.tr/, (accessed 18.03.2018).
• 15. Emlak-Arsa Fiyatları. https://intvd.gib.gov.tr/2014_Emlak_Arsa/, (accessed 05.06.2018).
• 16. Türkiye Yenilenebilir Enerji Genel Müdürlüğü, Güneş. http://www.yegm.gov.tr/yenilenebilir/gunes.aspx, (accessed 18.03.2018).
• 17. Meteoroloji Genel Müdürlüğü, İllerimize ait genel istatistiki veriler. https://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx, (accessed 18.03.2018).
• 18. Türkiye Deprem Riski Haritası. https://deprem.afad.gov.tr/deprem-bolgeleri-haritasi, (accessed 18.03.2018).
• 19. Türkiye Erozyon Haritası. http://www.cem.gov.tr/eroz-yon/AnaSayfa/ulusal_izleme_sistemlerimiz.aspx?sflang=tr, (accessed 18.03.2018).
• 20. İşgücü İstatistikleri. http://www.tuik.gov.tr/PreHaberBultenle-ri.do?id=2157, (accessed: 05.06.2018).