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Published January 2016 | public
Journal Article

Coriolis Effect on Dynamic Stall in a Vertical Axis Wind Turbine

Abstract

The immersed boundary method is used to simulate the flow around a two-dimensional cross section of a rotating NACA 0018 airfoil in order to investigate the dynamic stall occurring on a vertical axis wind turbine. The influence of dynamic stall on the force is characterized as a function of tip-speed ratio and Rossby number. The influence of the Coriolis effect is isolated by comparing the rotating airfoil to one undergoing an equivalent planar motion that is composed of surging and pitching motions that produce an equivalent speed and angle-of-attack variation over the cycle. Planar motions consisting of sinusoidally varying pitch and surge are also examined. At lower tip-speed ratios, the Coriolis force leads to the capture of a vortex pair when the angle of attack of a rotating airfoil begins to decrease in the upwind half cycle. This wake-capturing phenomenon leads to a significant decrease in lift during the downstroke phase. The appearance of this feature depends subtly on the tip-speed ratio. On the one hand, it is strengthened due to the intensifying Coriolis force, but on the other hand, it is attenuated because of the comitant decrease in angle of attack. While the present results are restricted to two-dimensional flow at low Reynolds numbers, they compare favorably with experimental observations at much higher Reynolds numbers. Moreover, the wake-capturing is observed only when the combination of surging, pitching, and Coriolis force is present.

Additional Information

© 2015 by Hsieh-Chen Tsai. Published by the American Institute of Aeronautics and Astronautics, Inc. Presented as Paper 2014-3140 at the 32nd AIAA Applied Aerodynamics Conference, Atlanta, GA, 16–20 June 2014; received 16 January 2015; revision received 13 June 2015; accepted for publication 19 July 2015; published online 15 September 2015. This project is sponsored by the Caltech Field Laboratory for Optimized Wind Energy with John Dabiri as principal investigator under the support of the Gordon and Betty Moore Foundation. We would like to thank John Dabiri, Beverley McKeon, Reeve Dunne, and Daniel Araya for their helpful comments on our work. The parametric study in this work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1053575.

Additional details

Created:
August 20, 2023
Modified:
October 17, 2023