An Experimental Study of Weibull and Rayleigh Distribution Functions of Wind Speeds in Kosovo

Abstract

This paper compares two commonly used functions, the Weibull and Rayleigh distribution functions, for fitting a measured wind speed probability distribution at a given location over a certain period. The monthly and annual measured wind speed data at 84 m height for the years have been statistically analyzed for the country with a large capacity -Kitka. The analysis is made in the case of the implementation of all the predicted capacity of wind turbines and by virtue of the probability of power distribution. The Weibull and Rayleigh probability distribution functions have been determined and their parameters have been identified. The average wind speed and the wind power density have been estimated using both distribution functions and compared those estimated from the measured probability distribution function. The Weibull distribution function fits the wind speed variation better than Rayleigh distribution function. The average wind speed was found to be 4.5 m/s and the average wind power density was 114.54 W/m According to results, we can conclude that such a distribution of winds in this region yields an appropriate average value of wind power.

Five different distributions and metaheuristics to model wind speed distribution

“…Rayleigh distribution (RD) was derived by British physicist Lord Rayleigh. The one-parameter Rayleigh distribution is a particular case of Weibull distribution in which the shape parameter (k W ) is assumed to equal 2 [23]. Due to its simplicity and the ability to accurately describe wind regimes, many researches used Rayleigh distribution to evaluate the potential of wind at various locations worldwide [10], [24], [25].…”

Assessment of off-shore wind turbines for application in Saudi Arabia

“…A simulation model for accessing the potential of wind power generation in a place called Kitka, Kosovo is carried out in [24]. The authors in [24] have considered the wind turbines to be manufactured by Amperax.…”

“…A simulation model for accessing the potential of wind power generation in a place called Kitka, Kosovo is carried out in [24]. The authors in [24] have considered the wind turbines to be manufactured by Amperax. An artificial intelligence approach for optimizing wind energy conversion system is available in [25].…”

Comparison of roughness index for Kitka and Koznica wind farms

“…So above, the air is lighter. This allows less aerodynamics to be created spontaneously [6], [7]. The primary meteorological factor in evaluating a prospective wind turbine site is the mean wind speed.…”