Title :
The UAE wind turbine performance prediction using wind tunnel airfoil data
Author :
Zhang, Chenkai ; Hu, Jun
Author_Institution :
Coll. of Energy & Power, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
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.
Keywords :
aerodynamics; power engineering computing; wind turbines; BEM method; NREL Phase VI upwind wind turbine; NREL-NASA Ames wind tunnel test; UAE wind turbine aerodynamic performance prediction; WT_Perf software; blade element momentum method; three-dimensional rotational stall delay; wind tunnel airfoil data; wind turbine optimization; Automotive components; Blades; Delay; Mathematical model; Rotors; Wind speed; Wind turbines; BEM (Blade Element Momentum) method; NREL Phase VI wind turbine rotor; WT_PERF; stall delay;
Conference_Titel :
World Non-Grid-Connected Wind Power and Energy Conference (WNWEC), 2010
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-8920-6
Electronic_ISBN :
978-1-4244-8921-3
DOI :
10.1109/WNWEC.2010.5673181