Journal of Industrial Technology (산업기술연구)

Kangwon National University, Institute of Industrial Technology (강원대학교 산업기술연구소)
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Effectiveness of Wind Data from Automated Weather Stations for Wind Resources Prediction

풍황자원 예측시 기상청 풍황자료의 유효성

  • 황윤석 (강원대학교 메카트로닉스 공학과) ;
  • 이원선 (강원대학교 메카트로닉스 공학과) ;
  • 백인수 (강원대학교 메카트로닉스 공학과) ;
  • 유능수 (강원대학교 메카트로닉스 공학과)
  • Published : 2009.08.31
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Abstract

The wind data measured from automated weather stations (AWS) at complex terrains in Korea was used to predict the wind velocity at nearby sites that are several kilometers away. The ten-minute averaged wind data was measured at a height of 10 meters. A commercial CFD code, WindSIM, based on the weighted averaged Navier-Stokes equation was employed. The results were compared with the data measured using meteorological masts (MM) at a height of 40 meters. The predictions using the AWS data and WindSIM showed good agreements with the measured data.

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