ÖzGünümüz dünyasında artan enerji ihtiyaçlarını karşılayabilmek ve enerjide dışa olan bağımlılığı azaltabilmek büyük bir önem arz etmektedir. Enerji kaynakları arasında ise yenilenebilir enerji kaynakları büyük bir öneme sahiptir. Rüzgâr enerji potansiyeli iki parametreli Weibull Dağılım Fonksiyonunun Grafik Yöntemi kullanılarak 10 m ve 100 m yükseklik değerleri için hesaplanmıştır. Çalışmada ayrıca etkin rüzgâr yönü verilerek elde edilen değerlerin hata oranları, rüzgâr enerji güç yoğunlukları ve kapasite faktör değerleri hesaplanmıştır. Hesaplanan enerji potansiyelleri dikkate alındığı zaman bölgenin rüzgâr enerji santralleri proje yatırımlarına uygun olduğu görülmüştür. Böylece, genel olarak Adilcevaz bölgesinin rüzgâr enerji potansiyelinin belirlenmesi amacıyla bir ön çalışma yapılmıştır.

According to the 2023 vision determined by Turkey, which is one of the G20 countries, it aims to evaluate of the hydro power potential in terms of technical and economic making medium and large hydro power plants. Turkey's mini and micro hydro power potential isn't fully evaluated as a number of countries. In this context, empirical formula for cost analysis of mini and micro hydro power plants, which are becoming increasingly important, have been developed in this work with the aim of facilitating economic analysis. The developed equation is found by modified Bacterial Swarm Optimization (BSO) algorithm. When analyzed with the literature data, the obtained equation can calculate the costs with the least mistakes.

Summary In this study, a new geographically based equation models with four terms and seven parameters are proposed for the total cost estimation of Hydroelectric Power Plants (HEPP). For this purpose, 25 basins in Türkiye are grouped into eight parts considering the similarities of their precipitation and elevation characteristics. For each group, the equation's parameters which is used to predict the cost of HEPPs, are determined by using the data of 67 HEPPs constructed over the last 6 years. In the literature, for the first time, the geographical characteristics of the regions in which HEPPS are constructed, were also considered in determining of the equation's parameters used to estimate the total cost of HEPPs. Chaos Embedded Adaptive Particle Swarm Optimization (CEAPSO) algorithm, which has a good performance in such problems is used. The obtained results are compared with the literature and the effectiveness of the proposed approach has been demonstrated. Finally, the sensitivity analyzes of the developed equation models are performed and the effects of power, head, and flow on HEPPs' total cost are illustrated.

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