Evaluation of wind energy potential: a case study

In this study, the wind energy potential of the Kirklareli University Kayali Campus at a height of 100 meters has been evaluated by using statistical distribution methods. The parameters of the distributions were calculated by Moment and Maximum Likelihood (MLE) methods. As a result of the goodness of fit tests, the Rayleigh MLE method was estimated the most suitable model among the statistical distributions examined. According to the annual mean results estimated by applying the Rayleigh MLE method; the scale parameter, the wind speed, the standard deviation, and the power density were found as 7.15 m/s, 6.34 m/s, 3.31 m/s and 322, respectively. The annual dominant wind direction was determined as the Northeast, (NE) with 1407 hours of blowing. It is suggested that the most suitable turbine for the location is the GE103 model, estimated to generate 7.270 GWh of electrical energy annually.

Automated summary

In this study, the wind energy potential of the Kirklareli University Kayali Campus was evaluated using statistical distribution methods. The most suitable model and turbine model were determined, and the annual wind speed, wind direction, and electrical energy generation were predicted.