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http://dx.doi.org/10.7836/kses.2016.36.2.009

Accuracy Assessment of Annual Energy Production Estimated for Seongsan Wind Farm  

Ju, Beom-Cheol (LKway Co., Ltd.)
Shin, Dong-Heon (Multidisciplinary Graduate School Program for Wind Energy, Jeju National University)
Ko, Kyung-Nam (Faculty of Wind Energy Engineering, Jeju National University)
Publication Information
Journal of the Korean Solar Energy Society / v.36, no.2, 2016 , pp. 9-17 More about this Journal
Abstract
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.
Keywords
Wind Energy; Wind Data; MERRA(Modern-Era Retrospective Analysis for Research and Applications); Annual Energy Production; Computational Fluid Dynamics;
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Times Cited By KSCI : 6  (Citation Analysis)
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