Abstract
The theoretical model of wind speed distributions allow valuable information about the probability of events relative to the variable in study eliminating the necessity of a new experiment. The most used distributions has been the Weibull and the Rayleigh. These distributions are examined in the present investigation, as well as the exponential, gamma, chi square and lognormal distributions. Three years of hourly averages wind data recorded from a anemometer setting at the city of Ataliba Leonel, Sao Paulo State, Brazil, were used. Using wind speed distribution the theoretical relative frequency was calculated from the distributions which have been examined. Results from the Kolmogorov - Smirnov test allow to conclude that the lognormal distribution fit better the wind speed data, followed by the gamma and Rayleigh distributions. Using the lognormal probability density function the yearly energy output from a wind generator installed in the side was calculated. 30 refs, 4 figs, 14 tabs
Citation Formats
Vendramini, Elisa Zanuncio.
Probabilistic distributions of wind velocity for the evaluation of the wind power potential; Distribuicoes probabilisticas de velocidades do vento para avaliacao do potencial energetico eolico.
Brazil: N. p.,
1986.
Web.
Vendramini, Elisa Zanuncio.
Probabilistic distributions of wind velocity for the evaluation of the wind power potential; Distribuicoes probabilisticas de velocidades do vento para avaliacao do potencial energetico eolico.
Brazil.
Vendramini, Elisa Zanuncio.
1986.
"Probabilistic distributions of wind velocity for the evaluation of the wind power potential; Distribuicoes probabilisticas de velocidades do vento para avaliacao do potencial energetico eolico."
Brazil.
@misc{etde_87267,
title = {Probabilistic distributions of wind velocity for the evaluation of the wind power potential; Distribuicoes probabilisticas de velocidades do vento para avaliacao do potencial energetico eolico}
author = {Vendramini, Elisa Zanuncio}
abstractNote = {The theoretical model of wind speed distributions allow valuable information about the probability of events relative to the variable in study eliminating the necessity of a new experiment. The most used distributions has been the Weibull and the Rayleigh. These distributions are examined in the present investigation, as well as the exponential, gamma, chi square and lognormal distributions. Three years of hourly averages wind data recorded from a anemometer setting at the city of Ataliba Leonel, Sao Paulo State, Brazil, were used. Using wind speed distribution the theoretical relative frequency was calculated from the distributions which have been examined. Results from the Kolmogorov - Smirnov test allow to conclude that the lognormal distribution fit better the wind speed data, followed by the gamma and Rayleigh distributions. Using the lognormal probability density function the yearly energy output from a wind generator installed in the side was calculated. 30 refs, 4 figs, 14 tabs}
place = {Brazil}
year = {1986}
month = {Oct}
}
title = {Probabilistic distributions of wind velocity for the evaluation of the wind power potential; Distribuicoes probabilisticas de velocidades do vento para avaliacao do potencial energetico eolico}
author = {Vendramini, Elisa Zanuncio}
abstractNote = {The theoretical model of wind speed distributions allow valuable information about the probability of events relative to the variable in study eliminating the necessity of a new experiment. The most used distributions has been the Weibull and the Rayleigh. These distributions are examined in the present investigation, as well as the exponential, gamma, chi square and lognormal distributions. Three years of hourly averages wind data recorded from a anemometer setting at the city of Ataliba Leonel, Sao Paulo State, Brazil, were used. Using wind speed distribution the theoretical relative frequency was calculated from the distributions which have been examined. Results from the Kolmogorov - Smirnov test allow to conclude that the lognormal distribution fit better the wind speed data, followed by the gamma and Rayleigh distributions. Using the lognormal probability density function the yearly energy output from a wind generator installed in the side was calculated. 30 refs, 4 figs, 14 tabs}
place = {Brazil}
year = {1986}
month = {Oct}
}