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AEP Prediction of a Wind Farm in Complex Terrain - WindPRO Vs. WindSim

복잡지형에 위치한 풍력발전단지의 연간발전량 예측 비교 연구

  • Woo, Jae-Kyoon (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University, Graduate School) ;
  • Kim, Hyeon-Gi (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University, Graduate School) ;
  • Kim, Byeong-Min (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University, Graduate School) ;
  • Gwon, Il-Han (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University, Graduate School) ;
  • Baek, In-Su (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University) ;
  • Yoo, Neung-Soo (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University)
  • 우재균 (강원대학교 대학원 기계메카트로닉스공학과) ;
  • 김현기 (강원대학교 대학원 기계메카트로닉스공학과) ;
  • 김병민 (강원대학교 대학원 기계메카트로닉스공학과) ;
  • 권일한 (강원대학교 대학원 기계메카트로닉스공학과) ;
  • 백인수 (강원대학교 기계메카트로닉스공학과) ;
  • 유능수 (강원대학교 기계메카트로닉스공학과)
  • Received : 2011.12.27
  • Accepted : 2012.11.15
  • Published : 2012.12.30

Abstract

The annual energy production of Gangwon wind farm was predicted for three consecutive years of 2007, 2008 and 2009 using commercial programs, WindPRO and WindSim which are known to be used the most for wind resource prediction in the world. The predictions from the linear code, WindPRO, were compared with both the actual energy prediction presented in the CDM (Clean Development Mechanism) monitoring report of the wind farm and also the predictions from the CFD code, WindSim. The results from WindPRO were close to the actual energy productions and the errors were within 11.8% unlike the expectation. The reason for the low prediction errors was found to be due to the fact that although the wind farm is located in highly complex terrain, the terrain steepness was smaller than a critical angle($21.8^{\circ}$) in front of the wind farm in the main wind direction. Therefore no flow separation was found to occur within the wind farm. The flow separation of the main wind was found to occur mostly behind the wind farm.

Keywords

Acknowledgement

Supported by : Korea Institute of Energy Technology Evaluationand Planning (KETEP)

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Cited by

  1. Prediction of Annual Energy Production of Wind Farms in Complex Terrain using MERRA Reanalysis Data vol.34, pp.2, 2014, https://doi.org/10.7836/kses.2014.34.2.082