Determination of wind dissipation maps and wind energy potential in Burdur province of Turkey using geographic information system (GIS)

Abstract

Wind speed measurements, wind energy analysis and wind speed maps are extremely important for wind power generation and use. In this paper, the wind speed values of between 2009 and 2016 were obtained from four different stations located in Burdur in order to analyze the wind energy potential of Burdur Province. The data data from stations in Burdur province were examined using the Artificial Neural Network (ANN) methodology and predicted wind speed values until the end of 2030 were determined. Also, formulas have derived to predict wind speed of Burdur province in future. Data obtained by artificial neural networks have transferred to Geographical Information Systems (GIS) and the areas with high potential for future wind power applications are identified and wind dissipation maps have created. This paper shows that both researchers and investors in the wind power sector can easily use ANN and GIS as an alternative to traditional predicting methods.