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AWS 풍황 데이터를 이용한 강원풍력발전단지 발전량 예측
우재균(Jaekyoon Woo),김현기(Hyeongi Kim),김병민(Byeongmin Kim),백인수(Insu Paek),유능수(Neungsoo Yoo) 대한기계학회 2010 대한기계학회 춘추학술대회 Vol.2010 No.11
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 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%.
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.