A new approach in the cost estimation of a hydroelectric power plants in Türkiye based on geographical features

Abstract

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.

Türkiye's Offshore Hybrid Energy Potential and Cost Estimation in the Eastern Mediterranean

“…The difference is that it makes use of carbon capture and storage. Unlike these methods, it is defined as 'green' hydrogen produced by RES's [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Cost Analysis of Türkiye Onshore Wind Power Plants: Adilcevaz Region Case Study

“…Bir bölgenin potansiyelinin değerlendirilmesi ve yatırıma dönüştürülmesi için maliyet bilgileri önemlidir. Bu öneme binaen, maliyet analizi ve tahmini araştırmacılar tarafından ele alınan güncel bir konudur [3, [10][11][12][13][14][15][16][17]. Araştırmacılar tarafından maliyet analizleri, açık deniz RES'ler için yapılmış ve denklem modelleri önerilmiştir [1, [11][12][13]18].…”

Development of Small Hydroelectric Power Plant Maintenance Costs using Chaos Embedded Adaptive Particle Swarm Optimization

“…In the studies, cost correlations based on the installed power and head parameters of electromechanical equipment 789 have been developed (Mishra et al, 2011). In addition to these parameters, the flow parameter has been added to the equation model as a new approach for cost estimation (Cavazzini et al, 2016;Çelikdemir and Özdemir, 2022). In such a way, the smallest mean error values with the best performance were obtained.…”

“…In later studies, better results were obtained by developing equation model parameters. Optimization methods were used to determine equation model parameters (Çelikdemir, S. and Ozdemir 2021;Çelikdemir and Özdemir 2022). Further, cost estimates were obtained with less error rate.…”