Using The Miuu Model For Prediction Of Mean Wind Speed At Low Height

This paper presents an evaluation of using the MIUU mesoscale model to predict mean wind speed at 10 meters above ground. This was done by comparing the model output to 128 meteorological measurements in Sweden. Although some terrain-dependent bias was seen, the model worked surprisingly well. Mean absolute error (MAE) was 0.58 m/s or 0.52 m/s if a few measurements taken in highly complex terrain were excluded. By using a multiple regression model, taking into account the terrain at site, the latter value was lowered to 0.39 m/s. The model described in this paper can be useful for a first evaluation of the wind conditions for small-scale wind power or when measurements are not feasible.