복잡지형 풍력단지에서의 WAsP 및 CFD 모델 예측성능 평가

Abstract

In order to evaluate predictions from wind farm design software, the power production predictions made using a linear model, Wind Atlas Analysis and Application Program (WAsP), and the computational fluid dynamics (CFD) model. Meteodyn WT, were compared with the real power production data from Supervisory Control And Data Acquisition (SCADA) system for Seongsan wind farm on Jeju Island. The five different wind farm sizes ranging from 5 km X 5 km to 20 km X 20 km were selected for running the two software to clarify which wind farm size is the best for obtaining more accurate power production predictions. WindPRO software was used for WAsP prediction in this work, since it uses WAsP module for estimating power production. A met mast was installed at the outside of Gasiri wind farm of Jeju Island for measuring free wind speed, and another met mast was put up at the inside for measuring wind speed deficit due to the multiple wake behind wind turbines. Applying the two famous wake models, Hensen Model and Eddy Viscosity (EV) Model of Meteodyn WT to the wind farm, wind speeds were estimated at the met masts points. Then the predicted wind speeds were compared with real wind speeds at the two met masts for evaluating the two wake models. As a result, the CFD models, Meteodyn WT, predicted power production more accurately than the linear models, WAsP, for all the five domain sizes studied. Jensen Model preformed better than EV Model in analyzing the wake effect at WidnPRO software, while there were little difference between the two wake models for the performance at Meteodyn WT. Based on measures wind speeds, wind speed deficit of maximum of 42.46% was found due to the multiple wake behind wind turbines.