AWS 풍황데이터를 이용한 강원풍력발전단지 연간에너지발전량 예측
Prediction of Annual Energy Production of Gangwon Wind Farm using AWS Wind Data
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참고문헌
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초록
Thewinddataobtainedfrom anAWS(AutomatedWeatherStation)wasusedtopredicttheAEP(annualenergy production)ofGangwonwindfarm havingatotalcapacityof98MW inKorea.A windenergypredictionprogram basedontheReynoldsaveragedNavier-Stokesequationwasused. Predictionsweremadeforthreeconsecutive yearsstarting from 2007andtheresultswerecomparedwith theactualAEPspresentedin theCDM (Clean DevelopmentMechanism)monitoringreportofthewindfarm.Theresultsfrom thepredictionprogram wereclose totheactualAEPsandtheerrorswerewithin7.8%.
Abstract
Thewinddataobtainedfrom anAWS(AutomatedWeatherStation)wasusedtopredicttheAEP(annualenergy production)ofGangwonwindfarm havingatotalcapacityof98MW inKorea.A windenergypredictionprogram basedontheReynoldsaveragedNavier-Stokesequationwasused. Predictionsweremadeforthreeconsecutive yearsstarting from 2007andtheresultswerecomparedwith theactualAEPspresentedin theCDM (Clean DevelopmentMechanism)monitoringreportofthewindfarm.Theresultsfrom thepredictionprogram wereclose totheactualAEPsandtheerrorswerewithin7.8%.
참고문헌 (16)
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