A STATISTICAL ANALYSIS OF WIND SPEED DISTRIBUTION MODELS IN THE ABURRÁ VALLEY, COLOMBIA

Abstract

The probability density functions, that model the wind speed behavior in five urban places and one rural of the Aburrá Valley in Antioquia, Colombia, are presented in this paper. The probability density functions are used to calculate the wind power density for each location, which are used to recommend several applications that could take advantage of such potential powers. Wind speeds are recorded at five monitoring stations located in the urban area of the valley and at one nearby rural station. Four probability density functions, namely, Weibull, Rayleigh, Gamma, and Lognormal, are used to represent the wind speed data histograms of each location and to select the probability density function that best fit the variability of the wind speed data. Also, four goodness of fit test are calculated. The wind power density is calculated with the probability density function that best represents the wind speed distribution to evaluate the wind power availability. The power densities reported for the five urban stations ranged from 1.38 to 4.54 W/m², and that reported for the rural station was 911.1 W/m². Taking into account the power density of each station, several applications are suggested.

Keywords

• Densidad de potencia
• Función de densidad de probabilidad
• Pruebas de bondad de ajuste
• Velocidad del viento