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Research Article

Numerical study of high lift devices to improve airfoil aerodynamic performance

, , , ORCID Icon, & ORCID Icon
Pages 9135-9155 | Received 16 May 2022, Accepted 21 Sep 2022, Published online: 29 Sep 2022
 

ABSTRACT

High Lift Devices (HLD) are frequently used flow control devices able to increase the amount of lift generated by a wind turbine blade. The current paper presents a parametric study on the aerodynamic performance of a DU91W(2)250 airfoil with a stationary element placed at the trailing edge. The aerodynamic analysis of these devices is performed using computational fluid dynamics (CFD) based on a 2D Reynolds-averaged Navier-Stokes (RANS) K-ω Shear Stress Transport (SST) turbulence model under the effect of various high Reynolds numbers. The influence of these elements is measured for different angles of attack, lengths and tilt angles. In addition, the novel Cell-set (CS) modeling method has been compared to a fully meshed HLD model to test the reusable cell approach. Numerical results have shown that, for all 10° tilted devices at positive AoAs, high lift values are reached for HLD lengths 0.187c and 0.3c. Particularly for a 0.187c device length, lift experiences a significant enhancement at AoA 7.5°. The impact of HLDs decreases at AoAs between −2.5° and 2.5°and even underperform the baseline airfoil when studying 0.015c devices. Besides, the CS method was validated as a precise modeling tool as a maximum error of 1.93% was determined.

Acknowledgment

The authors are grateful for the support provided by the SGIker of UPV/EHU. This research was developed under the frame of the Joint Research Laboratory on Offshore Renewable Energy (JRL-ORE).

Disclosure statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Author Contributions

Conceptualization, P.Fz-R-A.; methodology, P.Fz-R-A. and A.B-C.; software, P.Fz-R-A.; validation, P.Fz-R-A., I.A and U.F-G.; formal analysis, P.Fz-R-A., J.M.B.I; investigation, P.Fz-R-A., A.B-C., and U.F.-G.; resources, P.Fz-R-A., A.B-C., and U.F.-G.; data curation, P.Fz-R-A.; writing – original draft preparation, P.Fz-R-A., I.A.; writing – review and editing, P.Fz-R-A., I.A., and U.F-G.; visualization, P.Fz-R-A. and A.B-C.; supervision, U.F-G., I.B.; project administration, U.F-G. J.M.B.I; funding acquisition, U.F-G., J.M.B.I. All authors have read and agreed to the published version of the manuscript.

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