Research Article
AKDENİZ BÖLGESİ’NİN GÜNEŞ ENERJİSİ YATIRIMINA YÖNELİK ÖZELLİKLERİNİN ENTEGRE ENTROPİ MULTİMOORA YÖNTEMİ İLE DEĞERLENDİRİLMESİ
Abstract
Dünya üzerinde oldukça geniş bir alana hızlı bir
yayılım gösteren çevre kirliliğine karşı alınabilecek tedbirlerin başında
yenilenebilir enerji kaynaklarının enerji üretimin-deki payını arttırmak gelir.
Yenilenebilir enerji yatırımla-rının değerlendirilmesi ise teknik, ekonomik,
çevresel ve sosyal bir dizi kriterden etkilendiği için karar alması kar-maşık
bir konudur. Yaşam seyri analizi, fayda-maliyet analizi ve çok kriterli karar
verme yöntemleri yatırım pro-jelerinin değerlendirilmesi için yaygın olarak
kullanılan yöntemlerdir. Bu çalışmada, bir kısmı veya tamamı Akdeniz
Bölgesi’nde yer alan şehirlerin güneş enerjisi santrali yatırımına uygunlukları
değerlendirilmiştir. De-ğerlendirme için MULTIMOORA ve Geliştirilmiş MULTIMOORA
yöntemleri kullanılmış, kriter ağırlıkları ise Entropi Yöntemi ile
belirlenmiştir. 13 il için 12 kriter kullanılarak yapılan değerlendirmeler
Kahramanmaraş ili-nin her iki yöntem için de en uygun şehir olduğunu gös-termiştir.
Uygunluk açısından ilk beş içerisinde bulunan iller ise sıralamaları farklı
olsa da her iki yöntem için ay-nıdır. Bu şehirler Kahramanmaraş, Mersin,
Burdur, Gazi-antep ve Osmaniye illeridir. Sonuç olarak, güneş enerji santrali
yatırımı yapacak olan firmaların farklı ve ken-dilerine has kriterler ve
çalışma kapsamında kullanılan yöntemleri ön planlama çalışmalarında proje
seçimi için kullanabileceği değerlendirilmektedir.
References
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EVALUATING THE PROPERTIES OF MEDITERRANEAN REGION OF TURKEY FOR SOLAR POWER INVESTMENT WITH INTEGRATED ENTROPY MULTIMOORA METHOD
Abstract
Increasing the share of renewable energy sources
in energy production is one of the most important measures that can be taken
against environmental pollution which is spreading rapidly to a wide area in
the world. The evaluation of renewable energy investments is a complex issue
since it is influenced by a range of technical, economic, environmental and
social criteria. Life cycle analysis, cost-benefit analysis, and multicriteria
decision-making methods are widely used for the evaluation of investment projects.
In this study, the suitability of cities in the Mediterranean region of Turkey
for investment in solar power plants was evaluated. MULTIMOORA and Extended
MULTIMOORA methods were used for evaluation and criteria weights were
determined by Entropy Method. Evaluations made by using 12 criteria for 13
provinces showed that Kahramanmaras is the most suitable city for both methods.
In terms of eligibility, the provinces in the top five are the same for both
methods, although their rankings are different. These cities are Kahramanmaras,
Mersin, Burdur, Gaziantep, and Os-maniye. As a result, it is considered that
the companies that will invest in solar power plants can use different and
unique criteria and methods used in the scope of the study for project selection
in the preliminary planning studies.
References
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Ekonomik ve Sosyal Araştırmalar Dergisi, 11(2), 65-81.ARAGONÉS-BELTRÁN, P., CHAPARRO-GONZÁLEZ, F., PASTOR-FERRANDO, J.P., ve RODRIGUEZ-POZO, F. (2010), An ANP-based approach for the selection of photovoltaic solar power plant investment projects. Renewable and sustainable energy reviews, 14(1), 249-264.ARAGONÉS-BELTRÁN, P., CHAPARRO-GONZÁLEZ, F., PASTOR-FERRANDO, J.P., ve PLA-RUBIO, A. (2014), An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy, 66, 222-238.AYDIN, N.Y., KENTEL, E., ve DUZGUN, H. S. (2013), GIS-based site selection methodology for hybrid renewable energy systems: A case study from western Turkey. Energy Conversion and Management, 70, 90-106.BALEŽENTIS, A., BALEŽENTIS, T., ve BRAUERS, W.K. 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Details
| Primary Language | Turkish |
|---|---|
| Journal Section | Research Articles |
| Authors | |
| Publication Date | December 31, 2019 |
| Submission Date | August 1, 2019 |
| Published in Issue | Year 2019 Volume: 6 Issue: 3 |
