성산 풍력발전단지의 연간발전량 예측 정확도 평가

In order to examine how accurately the wind farm design software, WindPRO and Meteodyn WT, predict annual energy production (AEP), an investigation was carried out for Seongsan wind farm of Jeju Island. The one-year wind data was measured from wind sensors on met masts of Susan and Sumang which are...

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Published in한국태양에너지학회 논문집 Vol. 36; no. 2; pp. 9 - 17
Main Authors 주범철(Ju Beom-Cheol), 신동헌(Shin Dong-Heon), 고경남(Ko Kyung-Nam)
Format Journal Article
LanguageKorean
Published 한국태양에너지학회 2016
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Summary:In order to examine how accurately the wind farm design software, WindPRO and Meteodyn WT, predict annual energy production (AEP), an investigation was carried out for Seongsan wind farm of Jeju Island. The one-year wind data was measured from wind sensors on met masts of Susan and Sumang which are 2.3 km, and 18 km away from Seongsan wind farm, respectively. MERRA (Modern-Era Retrospective Analysis for Research and Applications) reanalysis data was also analyzed for the same period of time. The real AEP data came from SCADA system of Seongsan wind farm, which was compare with AEP data predicted by WindPRO and Meteodyn WT. As a result, AEP predicted by Meteodyn WT was lower than that by WindPRO. The analysis of using wind data from met masts led to the conclusion that AEP prediction by CFD software, Meteodyn WT, is not always more accurate than that by linear program software, WindPRO. However, when MERRA reanalysis data was used, Meteodyn WT predicted AEP more accurately than WindPRO.
Bibliography:KISTI1.1003/JNL.JAKO201615139870858
G704-000882.2016.36.2.002
ISSN:1598-6411
2508-3562