Abstract

Wind and solar energy resources are among the alternative energy sources that are environmentally friendly and reduce the production of greenhouse gases. Turkey ranks 7th in Europe and ranks 12th in the world by wind energy potential. In the article presented here, Kurna (Pendik, Istanbul) was chosen as the pilot study area for estimating the energy potential of solar energy and wind energy combined systems. Optimal material selection for these subsystems is done with the help of data mining, based on wind-solar energy potential prediction results. According to the ANN results based on the Levenberg-Marquardt algorithm, the most successful model estimation results are obtained for the fall season (September 2016), according to the statistical and ANN analyses. The coefficient of linear correlation between the observational data and the model results (test data); R = 0.86, ‘α’ confidence level was lower than %0.001. Wavelet analysis shows the potential of small, medium and large scale (time environment, minute, hour, day, month, season) factors on wind and solar energy potential and conversion systems. The results of this research may be useful in selecting short-to-long-term estimates of renewable energy potential, optimum materials for conversion and storage systems.

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