Yenilenebilir Enerji Alternatiflerinin Değerlendirilmesinde Copras ve Interval Type-2 Fuzzy Topsis ile Hibrit Yaklaşıma Dayalı Bir Karar Destek Sistemi

Year 2023, , 61 - 73, 31.12.2023

Aysun Sağbaş , Muhammet Deveci , Ulviye Polat

https://doi.org/10.55581/ejeas.1392881

Abstract

Yenilenebilir enerji (YE), toplumun ve ekonominin sürdürülebilir gelişimi için hayati bir kaynaktır. Hem gelişmiş hem de gelişmekte olan ülkelerin enerji ihtiyacının karşılanmasında önemli rol oynamaktadır. Ayrıca yenilenebilir enerji, çevrenin iyileştirilmesi, yakıt çeşitliliğinin artması, enerji fiyatlarının düşmesi, ekonomilerde değişiklik etkisi, ulusal ekonomik güvenlik ve ekonomik verimliliğin artması gibi birçok fayda yaratmaktadır. Herhangi bir ülke için en uygun yenilenebilir enerji alternatiflerinin seçimi, bölgesel, ulusal ve küresel enerji sistemleri planlamacılarına yol gösterici olabilir. Yenilenebilir enerji kaynaklarının sıralanması konusu, birbiriyle çelişen birçok kriteri içermekte olup; teknik, ekonomik, maliyet, sosyo-politik ve çevresel kriterlerin eş zamanlı olarak bir araya getirilmesi bakımından karmaşık bir sorundur. Bu çalışmada, ulusal yenilenebilir enerji yatırımlarının doğrudan planlanmasında YE alternatiflerini önceliklendirmek amacıyla Aralıklı Tip-2 Bulanık TOPSIS Tekniği ve COPRAS yönteminden oluşan entegre çok kriterli karar verme (MCDM) yaklaşımı kullanılmıştır. Önerilen metodolojinin uygulanabilirliğini göstermek amacıyla uzman değerlendirmeleri yoluyla Türkiye için gerçek bir vaka uygulaması sunulmuştur.

Keywords

Aralıklı tip-2 bulanık kümeler, COPRAS, Çok kriterli karar verme, TOPSIS, Yenilenebilir enerji.

A Decision Support System Based on Hybrid Approach With Copras And Interval Type-2 Fuzzy Topsis For Evaluation Of Renewable Energy Alternatives

Abstract

Renewable energy (RE) is a vital source for the sustainable development of society and economy. It plays a significant role in meeting energy requirements of both developed and developing countries. Moreover, renewable energy creats multiple benefits such as environmental improvement, increases fuel diversity, reduction of energy price, volality effect on their economy, national economic security, and increases in economic productivity. Selection of the most appropriate RE alternatives for any country can provide guidelines to planners of regional, national and global energy systems. The issue of ranking renewable energy sources involves many conflicting criteria and is a complicated problem since it needs to simultaneously incorporate technical, economic, cost, social-political, and environmental criteria. In this study, an integrated multi criteria decision making (MCDM) aproach consisting of interval type-2 fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Compressed Proportional Assessment (COPRAS) method is conducted to prioritize RE alternatives in order to direct planning of the national RE investments. A real case application for Turkey has been presented via expert evaluations to demonstrate applicability of the proposed methodology.

Keywords

COPRAS, Interval type-2 fuzzy sets, Multi criteria decision making, Renewable energy, TOPSIS.

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