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http://dx.doi.org/10.7836/kses.2012.32.6.037

Prediction of long-term wind speed and capacity factor using Measure-Correlate-Predict method  

Ko, Kyung-Nam (Multidisciplinary Graduate School Program for Wind Energy, Jeju National University)
Huh, Jong-Chul (Faculty of Mechanical System Engineering, Jeju National University)
Publication Information
Journal of the Korean Solar Energy Society / v.32, no.6, 2012 , pp. 37-43 More about this Journal
Abstract
Long-term variations in wind speed and capacity factor(CF) on Seongsan wind farm of Jeju Island, South Korea were derived statistically. The selected areas for this study were Subji, having a year wind data at 30m above ground level, Sinsan, having 30-year wind data at 10m above ground level and Seongsan wind farm, where long-term CF was predicted. The Measure-Correlate-Predict module of WindPRO was used to predict long-tem wind characteristics at Seongsan wind farm. Eachyear's CF was derived from the estimated 30-year time series wind data by running WAsP module. As a result, for the 30-year CFs, Seongsan wind farm was estimated to have 8.3% for the coefficien to fvariation, CV, and-16.5% ~ 13.2% for the range of variation, RV. It was predicted that the annual CF at Seongsan wind farm varied within about ${\pm}4%$.
Keywords
Wind energy; Wind data; Capacity factor, CF; Measure-Correlate-Predict;
Citations & Related Records
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