Journal of the Korean Solar Energy Society (한국태양에너지학회 논문집)

The Korean Solar Energy Society (한국태양에너지학회)
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Wind Speed Prediction in Complex Terrain Using a Commercial CFD Code

상용 CFD 프로그램을 이용한 복잡지형에서의 풍속 예측

  • 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) ;
  • Paek, In-Su (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University) ;
  • Yoo, Neung-Soo (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University) ;
  • Nam, Yoon-Su (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University)
  • 우재균 (강원대학교 대학원 기계메카트로닉스공학과) ;
  • 김현기 (강원대학교 대학원 기계메카트로닉스공학과) ;
  • 백인수 (강원대학교 기계메카트로닉스공학과) ;
  • 유능수 (강원대학교 기계메카트로닉스공학과) ;
  • 남윤수 (강원대학교 기계메카트로닉스공학과)
  • Received : 2011.07.14
  • Accepted : 2011.09.21
  • Published : 2011.12.30
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Abstract

Investigations on modeling methods of a CFD wind resource prediction program, WindSim for a ccurate predictions of wind speeds were performed with the field measurements. Meteorological Masts having heights of 40m and 50m were installed at two different sites in complex terrain. The wind speeds and direction were monitored from sensors installed on the masts and recorded for one year. Modeling parameters of WindSim input variables for accurate predictions of wind speeds were investigated by performing cross predictions of wind speeds at the masts using the measured data. Four parameters that most affect the wind speed prediction in WindSim including the size of a topographical map, cell sizes in x and y direction, height distribution factors, and the roughness lengths were studied to find out more suitable input parameters for better wind speed predictions. The parameters were then applied to WindSim to predict the wind speed of another location in complex terrain in Korea for validation. The predicted annual wind speeds were compared with the averaged measured data for one year from meteorological masts installed for this study, and the errors were within 6.9%. The results of the proposed practical study are believed to be very useful to give guidelines to wind engineers for more accurate prediction results and time-saving in predicting wind speed of complex terrain that will be used to predict annual energy production of a virtual wind farm in complex terrain.

Keywords

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