In this work, the main objective is to determine the shape (k) and scale (c) parameters of the Weibull probability density function through four numerical methods, known as graphical method (GM), empirical method of Justus (EMJ), empirical method of Lysen (EML), and moment method (MM) in two distinct cities, Gravatá-PE and Osório-RS, under the influence of two wind regimes. To do that, it will be used the hourly wind data obtained through NASA's Meteonorm database, from 2006 to 2015. Statistical analyzes also will be used to determine the best method used to determine these parameters
One of the well-known methods for the determination of wind energy potential is the two-parameter We...
This dissertation deals with the analysis and comparison of 7 (seven) numerical methods for the asse...
Wind speed is the most important parameter to be considered when designing wind energy conversion sy...
In this work, the main objective is to determine the shape (k) and scale (c) parameters of the Weibu...
The aim of the present work is to perform an analysis of both Weibull parameters k and c for wind po...
To determine the wind potential of a region is of paramount importance that a study be conducted on ...
The two-parameter Weibull probability distribution function is versatile for modelling wind speed fr...
The modeling of the wind speed distribution is of great importance for the assessment of wind energy...
Para determinar o potencial eÃlico de uma regiÃo à de fundamental importÃncia que seja realizado um ...
The two-parameter Weibull probability density function (PDF) is widely utilized by different researc...
This study aims to determine the potential of wind energy in the mediterranean coastal plain of Pale...
AbstractThe Weibull distribution has been widely used to represent the time distribution of wind spe...
Abstract The increased integration of wind power into electric power systems presents new challenges...
Wind potential estimation requires an analysis of wind characteristics (wind speed density and wind ...
Weibull distribution function is fitted to a measured wind speed data set at mast height of 30 m and...
One of the well-known methods for the determination of wind energy potential is the two-parameter We...
This dissertation deals with the analysis and comparison of 7 (seven) numerical methods for the asse...
Wind speed is the most important parameter to be considered when designing wind energy conversion sy...
In this work, the main objective is to determine the shape (k) and scale (c) parameters of the Weibu...
The aim of the present work is to perform an analysis of both Weibull parameters k and c for wind po...
To determine the wind potential of a region is of paramount importance that a study be conducted on ...
The two-parameter Weibull probability distribution function is versatile for modelling wind speed fr...
The modeling of the wind speed distribution is of great importance for the assessment of wind energy...
Para determinar o potencial eÃlico de uma regiÃo à de fundamental importÃncia que seja realizado um ...
The two-parameter Weibull probability density function (PDF) is widely utilized by different researc...
This study aims to determine the potential of wind energy in the mediterranean coastal plain of Pale...
AbstractThe Weibull distribution has been widely used to represent the time distribution of wind spe...
Abstract The increased integration of wind power into electric power systems presents new challenges...
Wind potential estimation requires an analysis of wind characteristics (wind speed density and wind ...
Weibull distribution function is fitted to a measured wind speed data set at mast height of 30 m and...
One of the well-known methods for the determination of wind energy potential is the two-parameter We...
This dissertation deals with the analysis and comparison of 7 (seven) numerical methods for the asse...
Wind speed is the most important parameter to be considered when designing wind energy conversion sy...