Journal of Industrial Technology (산업기술연구)

Kangwon National University, Institute of Industrial Technology (강원대학교 산업기술연구소)
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AEP Prediction of Gangwon Wind Farm using AWS Wind Data

AWS 풍황데이터를 이용한 강원풍력발전단지 발전량 예측

  • 우재균 (강원대학교 기계메카트로닉스공학과) ;
  • 김현기 (강원대학교 기계메카트로닉스공학과) ;
  • 김병민 (강원대학교 기계메카트로닉스공학과) ;
  • 유능수 (강원대학교 기계메카트로닉스공학과)
  • Published : 2011.02.28
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Abstract

AWS (Automated Weather Station) wind data was used to predict the annual energy production of Gangwon wind farm having a total capacity of 98 MW in Korea. Two common wind energy prediction programs, WAsP and WindSim were used. Predictions were made for three consecutive years of 2007, 2008 and 2009 and the results were compared with the actual annual energy prediction presented in the CDM (Clean Development Mechanism) monitoring report of the wind farm. The results from both prediction programs were close to the actual energy productions and the errors were within 10%.

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