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Wind Speed Prediction in Complex Terrain Using a Commercial CFD Code
우재균,김현기,백인수,유능수,남윤수 한국태양에너지학회 2011 한국태양에너지학회 논문집 Vol.31 No.6
Investigations on modeling methods of a CFD wind resource prediction program, WindSim for accurate 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.
해상 풍력자원 예측을 위한 위성 풍황데이터 적용 타당성 연구
우재균(Jaekyoon Woo),김병민(Byeongmin Kim),김현기(Hyeongi Kim),백인수(Insu Paek),유능수(Neungsoo Yoo) 대한기계학회 2010 대한기계학회 춘추학술대회 Vol.2010 No.11
Predictions of wind speed for four different near-shore sites were made using the NCAR (NationalCenterforAtmosphericResearch) wind data. The distances between the measurement sites and prediction sites were varied between 40㎞ and 130㎞. A well-known wind energy prediction program, WAsP, was used. The prediction results were compared with the measured data from the AWS (Automated Weather Stations). Although the NCAR wind data were measured far away from the AWS sites, the prediction errors were within 10 % for all the cases. This proves that the NCAR wind data are very useful in roughly estimating wind energy in offshore or near-shore sites where offshore wind farm might be constructed in Korea.
WAsP과 WindSim을 이용한 복잡지형에서의 풍속 예측
우재균(Jaekyoon Woo),백인수(Insu Paek),유능수(Neungsoo Yoo) 대한기계학회 2010 대한기계학회 춘추학술대회 Vol.2010 No.5
Comparison of wind speed predictions from WAsP and WindSIM was made. Three sites located in complex terrain were analyzed in this study. Three meteorological masts were installed at the sites and used to measure wind speed and direction for one year. The measured data were used for cross predictions of annual wind speeds for two separate cases including two measurement sites. The WAsP predictions were even more accurate than those from WindSIM for some cases but they were much worse for others. The results from WindSIM showed higher consistency than WAsP and the WindSIM prediction errors were less than 10% for all the cases in this study.
AWS 풍황데이터를 이용한 강원풍력발전단지 연간에너지발전량 예측
우재균(Woo Jae-kyoon),김현기(Kim Hyeon-gi),김병민(Kim Byeong-min),백인수(Paek In-su),유능수(Yoo Neung-soo) 한국태양에너지학회 2011 한국태양에너지학회 논문집 Vol.31 No.2
The wind data obtained from an AWS(AutomatedWeatherStation) was used to predict the AEP(annualenergy production) of Gangwon wind farm having a total capacity of 98 ㎿ in Korea. A wind energy prediction program based on the Reynolds averaged Navier-Stokes equation was used. Predictions were made for three consecutive years starting from 2007 and the results were compared with the actual AEPs presented in the CDM (Clean Development Mechanism) monitoring report of the wind farm.The results from the prediction program were close to the actual AEPs and the errors were within 7.8%.