The UAE wind turbine performance prediction using wind tunnel airfoil data

Abstract

It's vitally important for wind turbine aerodynamic performance predictions to design and optimize wind turbines. In view of the BEM method's fast speed and widespread use, this paper applies WT_Perf software of NREL to predict the performance on a NREL Phase VI upwind wind turbine. Measurements from the Phase VI of the NREL/NASA Ames wind tunnel test were used for validating the predictions. Performance predictions will vary greatly when data selection changes. Also three-dimensional rotational stall delay should be accounted for in the predictions. The final obtained prediction methods show good agreement with the experiments. Because of their accuracy and straightforward manufacturing, derived methods can be widely used in wind turbine optimization and design of the future research.