Application of wind data from automated weather stations to wind resources estimation in Korea

초록

The wind data measured from automated weather stations (AWS) at complex terrain in Korea was used to predict the wind speed at nearby sites that are several kilometers away. The 10-minute averaged wind data was measured at a height of 10 meters. A commercial CFD code, WindSIM, based on the Reynolds averaged Navier-Stokes equation was employed. The results were compared with the data measured using meteorological masts (MM) at heights of 30 to 50 meters installed for this study. The predictions using the AWS data and WindSIM showed good agreements with the measured data. The results are expected to be useful to find out a spot to install a meteorological mast for future wind farm development in complex terrain.

키워드