En İyi–En Kötü Yöntemi, Entropi ve ARAS Yöntemleri Kullanılarak Güneş Paneli Seçimi

Abstract

Etkin bir güneş paneli seçimi, yenilenebilir enerji sistemlerinde enerji verimliliğini ve sürdürülebilirliği en üst düzeye çıkarmak için kritik öneme sahiptir. Uygun panel seçimi, enerji üretimi, maliyetlerin azaltılması ve uzun vadeli performans üzerinde önemli ölçüde etkili olabilir. Küresel ölçekte yenilenebilir enerjiye geçiş sürecinde güneş enerjisinin giderek daha fazla önem kazanması, en uygun panellerin belirlenmesini daha da gerekli kılmaktadır. Bu çalışmada seçim sürecini geliştirmek amacıyla Delphi, En İyi–En Kötü Yöntemi (Best Worst Method), Entropi ve ARAS (Additive Ratio Assessment) yöntemleri birlikte kullanılmıştır. Delphi yöntemi kriterlerin belirlenmesi ve sıralanması için uygulanırken, En İyi–En Kötü Yöntemi öznel ağırlıkların, Entropi ise nesnel ağırlıkların hesaplanmasında kullanılmıştır. Ardından ARAS yöntemi alternatiflerin değerlendirilmesi ve sıralanması için uygulanmıştır. Literatür incelendiğinde, öznel ve nesnel ağırlıkların bütünleşik bir sıralama çerçevesinde birleştirilmesine ve hem nicel hem de nitel kriterlerin birlikte ele alınmasına yönelik önemli bir boşluk olduğu görülmektedir. Bu çalışma üç temel katkı sunmaktadır: (1) kriterlerin etkin biçimde ağırlıklandırılmasında En İyi–En Kötü Yöntemi ve Entropi’nin birlikte kullanımı, (2) hem nicel hem de nitel unsurları içeren kapsamlı bir kriter setinin oluşturulması ve (3) En İyi–En Kötü Yöntemi, Entropi ve ARAS yöntemlerinin ilk kez birlikte entegre edilerek güneş paneli değerlendirmesinde uygulanması

Keywords

• En İyi-En Kötü Yöntemi
• Entropy
• ARAS
• Delphi
• Güneş Paneli

Solar Panel Selection using Best Worst Method, Entropy and ARAS Methods

Abstract

Effective solar panel selection is crucial for maximizing energy efficiency and sustainability in renewable energy systems. The optimal choice of solar panels can sig substantially impact energy production, cost reduction, and long-term performance. As solar energy gains prominence in the global transition to renewable resources, selecting the most appropriate panels becomes increasingly critical. This study employs the Delphi, Best Worst Method, Entropy, and ARAS (Additive Ratio Assessment) methods to enhance the selection process. The Delphi method is used to rank and substantiate the criteria, while the Best Worst Method assigns subjective weights and the Entropy determines objective weights. The ARAS is then applied to evaluate and rank the alternatives. Despite the importance of this topic, the literature reveals a significant gap in the integration of both subjective and objective weights into a unified ranking framework, as well as in the consideration of both quantitative and qualitative criteria. This study makes three notable contributions: first, it utilizes the Best Worst Method and Entropy for effective subjective and objective weighting of criteria; second, it establishes a comprehensive set of criteria for solar panel selection, incorporating both qualitative and quantitative attributes; and third, it introduces a novel approach by integrating the Best Worst Method, Entropy, and ARAS methods, marking their first combined application in solar panel evaluation.

Keywords

• Best Worst Method
• Entropy
• ARAS
• Delphi
• Solar Panel

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