CBS ve Bulanık BWM Kullanarak Güneş Enerjisi Santrali Yer Seçimi için Yeni Bir Çerçeve

Abstract

Dünya genelinde enerjiye olan talebin giderek artmasıyla birlikte, sürdürülebilir alternatiflere yönelmek zorunlu hale gelmiştir. Bu çalışma, güneş enerjisi santrali sahalarının optimum seçimini kolaylaştırmak için bulanık en iyi-en kötü yöntemi (BWM) ve coğrafi bilgi sistemlerini (CBS) entegre eden yeni bir çerçeve sunmaktadır. Bulanık BWM kullanılarak çeşitli kriterlerin kapsamlı bir değerlendirmesi ve CBS'deki mekansal verilerle entegrasyonu yoluyla, bir uygunluk haritası geliştirilmiş ve beş seviyeye ayrılmıştır. Bu çerçeve Konya, Türkiye'de uygulanmış ve güneş enerjisi kaynaklarının verimli ve sürdürülebilir kullanımını sağlayarak güneş fotovoltaik (PV) enerji santrali projeleri için uygun sahaların belirlenmesindeki etkinliğini göstermiştir. Bu yaklaşım, önemli güneş enerjisi potansiyeline sahip bölgelerdeki planlamacılar ve geliştiriciler için sağlam bir karar verme aracı olarak hizmet etmektedir.

Keywords

• En İyi-En Kötü Yöntemi
• Bulanık Mantık
• CBS
• ÇKKV
• Yenilenebilir Enerji
• Güneş

Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey

Abstract

The global demand for energy continues to rise, driving the need for sustainable and efficient energy solutions. This study presents a comprehensive framework that combines the fuzzy best-worst method (BWM) with geographic information systems (GIS) to optimize solar power plant site selection. Eight criteria, including solar irradiation, slope, aspect, and proximity to infrastructure and water resources, were evaluated using the fuzzy BWM approach. These weighted criteria were integrated into GIS to create a suitability map, categorized into five levels of potential. The proposed framework was applied to Konya, Türkiye, a region with abundant solar energy resources, and highly suitable sites for solar photovoltaic (PV) power plant development were successfully identified. Furthermore, a sensitivity analysis was conducted to validate the robustness of the results. The findings demonstrate the framework’s potential as a reliable decision-support tool for energy planners and policymakers, offering a replicable model for regions with similar characteristics.

Keywords

• Solar
• Best-Worst Method
• Fuzzy Logic
• GIS
• MCDM
• Renewable Energy

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