Knowledge of wind behavior plays a key role in the production of wind energy, in
ambient ventilation and in air quality. Thus, in this study the wind speed behavior in Cachoeira do Sul (RS) is
analyzed. Wind speed data measured by a sonic anemometer are used to estimate the potential for
power generation in the period from 2010 to 2014. One of the methodologies used for the wind study is the statistical analysis using
probability density functions. There are several models of probability distribution in the literature for
time series of data. For wind data the most commonly used distribution is the Weibull function. This distribution is
more suitable for characterization of the wind and is also applied in the analysis of rainfall data, clarity index,
water level prediction among other applications. Thus, the objective of the present study is to obtain preliminary estimates of the
wind potential of Cachoeira do Sul in RS using the probability distribution of Weibull to estimate wind power. The
results show that wind power is below 500W / m2 (in 50m), which indicates low wind potential.
