Estimation of wind power potential in sivas cumhuriyet university campus using various probability density functions

Abstract

With the increase in energy consumption, resources are decreasing while costs are rising. The Covid-19 pandemic and wars in some countries have also led to increased costs. Considering the environmental damage, the search for new energy sources and the demand for existing renewable energy sources have increased. Among renewable energy sources, wind energy is one of the most prominent energy sources due to its environmental friendliness. In recent years, studies on wind characteristics and wind energy distribution have been conducted in many parts of the world. But, it has not been conducted that a detailed study using different probability density functions specifically for Sivas province in Türkiye. This study investigated the wind energy potential for Sivas province using various probability density functions. Data from two nearby stations were used in the calculations. Despite the proximity of the stations, it was determined that the emerging wind trends showed some differences. For Station A, it is observed that probability density functions other than Rayleigh provide a better fit, especially at low wind speeds. However, deviations from actual values are observed at certain wind speeds. For Station B, functions other than Weibull show a better fit, although it can be said that the wind characteristics are more irregular in the winter season, and the predicted functions do not provide a better fit. Stations A and B exhibited different wind characteristics, except for the autumn season. It was observed that collecting data and analyzing wind power at the site where a wind farm will be established is quite important. As a result of the study, it was concluded that the potential wind powers at both stations were quite low and not very suitable for wind farm installation.