Aerodynamics of a pitching wind turbine blade at high reduced frequencies
Aerodynamics of a pitching wind turbine blade at high reduced frequencies
This paper reports the effect of high reduced frequency on the aerodynamics of wind turbine blade under a deep dynamic stall at Reynolds number 135,000, of which the cross section is NACA0012 aerofoil with a constant chord length. Large-eddy simulations (LES) at reduced frequencies 0.1 and 0.15 were validated against reference data in the literature. Our LES data suggest that the lift, drag and moment coefficients are evidently dependent on the pitching frequency. The lift coefficient at the reduced frequency 0.4 increases up to 22% during the upstroke, and 64\% during the downstroke compared to at the reduced frequency 0.2. The peak drag coefficient decreases up to 26% at the reduced frequency 0.4 compared to at the reduced frequency 0.2. The phase angle of dynamic stall shifts towards the downstroke regime as the reduced frequency increases. Pitching motion at the high reduced frequency (e.g. 0.4) significantly enhances the suppression of leading edge vortex during the upstroke, and delays the reattachment of the boundary layer until a very low angle of attack in the downstroke. This study can be beneficial for improvement in the parameterisation of the operational blade element method (BEM) of wind turbine blade design.
Deep dynamic stall, Large-eddy simulation, Leading edge vortex, Pitching wing, Unsteady flow
1-40
Boye, Thankgod, Enatimi
1b12570e-8220-474c-8bf6-0d951cff1fe3
Xie, Zheng-Tong
98ced75d-5617-4c2d-b20f-7038c54f4ff0
1 April 2022
Boye, Thankgod, Enatimi
1b12570e-8220-474c-8bf6-0d951cff1fe3
Xie, Zheng-Tong
98ced75d-5617-4c2d-b20f-7038c54f4ff0
Boye, Thankgod, Enatimi and Xie, Zheng-Tong
(2022)
Aerodynamics of a pitching wind turbine blade at high reduced frequencies.
Journal of Wind Engineering and Industrial Aerodynamics, 223, , [104935].
(doi:10.1016/j.jweia.2022.104935).
Abstract
This paper reports the effect of high reduced frequency on the aerodynamics of wind turbine blade under a deep dynamic stall at Reynolds number 135,000, of which the cross section is NACA0012 aerofoil with a constant chord length. Large-eddy simulations (LES) at reduced frequencies 0.1 and 0.15 were validated against reference data in the literature. Our LES data suggest that the lift, drag and moment coefficients are evidently dependent on the pitching frequency. The lift coefficient at the reduced frequency 0.4 increases up to 22% during the upstroke, and 64\% during the downstroke compared to at the reduced frequency 0.2. The peak drag coefficient decreases up to 26% at the reduced frequency 0.4 compared to at the reduced frequency 0.2. The phase angle of dynamic stall shifts towards the downstroke regime as the reduced frequency increases. Pitching motion at the high reduced frequency (e.g. 0.4) significantly enhances the suppression of leading edge vortex during the upstroke, and delays the reattachment of the boundary layer until a very low angle of attack in the downstroke. This study can be beneficial for improvement in the parameterisation of the operational blade element method (BEM) of wind turbine blade design.
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Submitted date: 2 July 2021
Published date: 1 April 2022
Additional Information:
Funding Information:
The authors are grateful to the United Kingdom Turbulence Consortium (UKTC) computational resources support under EPSRC grant, for access to ARCHER high-performance computational resources. TEB appreciate the provision of the IRIDIS4 computational resources at the University of Southampton, and he is grateful for the funding support by the Petroleum Technology Development Fund (PTDF) Nigeria ( PTDF/1052/17/PHD/028 ).
Publisher Copyright:
© 2022 Elsevier Ltd
Keywords:
Deep dynamic stall, Large-eddy simulation, Leading edge vortex, Pitching wing, Unsteady flow
Identifiers
Local EPrints ID: 452763
URI: http://eprints.soton.ac.uk/id/eprint/452763
ISSN: 0167-6105
PURE UUID: e7b62e60-32eb-4f7f-aa14-06555a1f7fc1
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Date deposited: 20 Dec 2021 17:30
Last modified: 17 Mar 2024 02:59
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Author:
Thankgod, Enatimi Boye
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