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Application of wind data from automated weather stations to wind resources estimation in Korea Yoonseok Hwang, Insu Paek, Kwangyong Yoon, Wonseon Lee, Neungsoo Yoo and Yoonsu Nam
The Journal of Mechanical Science and Technology, vol. 24, no. 10, pp.2017-2023, 2010
Abstract : 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.
Keyword :
Wind prediction; AWS; Complex terrain; WindSIM
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