Articles | Volume 11, issue 6
https://doi.org/10.5194/wes-11-1971-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-1971-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Vortex generator design for unsteady flow separation control and dynamic stall suppression on pitching thick airfoils
Wind Energy, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the Netherlands
Wind Energy, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the Netherlands
Daniele Ragni
Wind Energy, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the Netherlands
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Cited articles
Allen, H. J. and Vincenti, W. G.: Wall interference in a two-dimensional-flow wind tunnel, with consideration of the effect of compressibility, Tech. Rep. 782, NACA, 1944. a
Ashill, P. R., Fulker, J. L., and Hackett, K. C.: A review of recent developments in flow control, Aeronaut. J., 109, 205–232, https://doi.org/10.1017/S0001924000005200, 2005. a, b
Bak, C., Zahle, F., Bitsche, R., Kim, T., Yde, A., Henriksen, L. C., Hansen, M. H., Blasques, J. P. A. A., Gaunaa, M., and Natarajan, A.: The DTU 10-MW reference wind turbine, in: Danish Wind Power Research 2013, DTU Wind Energy Report-I-0092, 2013. a
Bak, C., Skrzypiński, W., Gaunaa, M., Villanueva, H., Brønnum, N. F., and Kruse, E. K.: Full scale wind turbine test of vortex generators mounted on the entire blade, J. Phys. Conf. Ser., 753, 022001, https://doi.org/10.1088/1742-6596/753/2/022001, 2016. a
Bergh, H. and Tijdeman, H.: Theoretical and experimental results for the dynamic response of pressure measuring systems, Tech. rep., NLR-TRF 328, Nationaal Lucht en Ruimtevaartlaboratorium, 1965. a
Boerrigter, H. L.: PreMeSys: A Simulation Program to Determine the Frequency and Time Response of a Pressure Measurement System, Technical memorandum, Von Karman Institute for Fluid Dynamics, 1996. a
Butterfield, C. P.: Three-dimensional airfoil performance measurements on a rotating wing, Tech. rep., NREL/TP-217-3505, 1989. a
Butterfield, C. P. and Nelsen, E. N.: Aerodynamic testing of a rotating wind turbine blade, Tech. rep., SERI/TP-257-3490, 1989. a
Butterfield, C. P., Jenks, M. D., Simms, D. A., and Musial, W. P.: Aerodynamic pressure measurements on a rotating wind turbine blade, Tech. rep., SERI/TP-257-3695, 1990. a
Butterfield, C. P., Simms, D., and Huyer, S. A.: Dynamic stall on wind turbine blades, Tech. rep., NREL/TP-257-4510, 1992. a
Carr, L. W.: Progress in analysis and prediction of dynamic stall, J. Aircraft, 25, 6–17, https://doi.org/10.2514/3.45534, 1988. a, b, c
Choudhry, A., Leknys, R., Arjomandi, M., and Kelso, R.: An insight into the dynamic stall lift characteristics, Exp. Therm. Fluid Sci., 58, 188–208, https://doi.org/10.1016/j.expthermflusci.2014.07.006, 2014. a
Choudhry, A., Arjomandi, M., and Kelso, R.: Methods to control dynamic stall for wind turbine applications, Renew. Energ., 86, 26–37, https://doi.org/10.1016/j.renene.2015.07.097, 2016. a
Corke, T. C. and Thomas, F. O.: Dynamic Stall in Pitching Airfoils: Aerodynamic Damping and Compressibility Effects, Annu. Rev. Fluid Mech., 47, 479–505, https://doi.org/10.1146/annurev-fluid-010814-013632, 2015. a
De Tavernier, D., Ferreira, C., Viré, A., LeBlanc, B., and Bernardy, S.: Controlling dynamic stall using vortex generators on a wind turbine airfoil, Renew. Energ., 172, 1194–1211, https://doi.org/10.1016/j.renene.2021.03.019, 2021. a
Doosttalab, M., Ferreira, C. S., Ragni, D., Yu, W., and Rautmann, C.: Vortex generator effects on dynamic stall of thick airfoils, Renew. Energ., 255, 123746, https://doi.org/10.1016/j.renene.2025.123746, 2025. a
Fouatih, O. M., Medale, M., Imine, O., and Imine, B.: Design optimization of the aerodynamic passive flow control on NACA 4415 airfoil using vortex generators, https://doi.org/10.1016/j.euromechflu.2015.11.006, 2016. a, b
Gaertner, E., Rinker, J., Sethuraman, L., Zahle, F., Anderson, B., Barter, G., Abbas, N., Meng, F., Bortolotti, P., Skrzypinski, W., Scott, G., Feil, R., Bredmose, H., Dykes, K., Shields, M., Allen, C., and Viselli, A.: IEA Wind TCP Task 37: Definition of the IEA 15-Megawatt Offshore Reference Wind Turbine, Tech. rep., National Renewable Energy Laboratory (NREL), Golden, CO (United States), https://doi.org/10.2172/1603478, 2020. a, b
Garner, H. C., Rogers, E. W. E., Acum, W. E. A., and Maskell, E. C.: Subsonic Wind Tunnel Wall Corrections, Tech. rep., Advisory Group for Aerospace Research and Development (AGARD), https://doi.org/10.14339/AGARD-AG-109, 1966. a
Godard, G. and Stanislas, M.: Control of a decelerating boundary layer. Part 1: Optimization of passive vortex generators, Aerosp. Sci. Technol., 10, 181–191, https://doi.org/10.1016/J.AST.2005.11.007, 2006. a, b, c
Griffin, D. A.: Investigation of Vortex Generators for Augmentation of Wind Turbine Power Performance, National Renewable Energy Laboratory (NREL), https://doi.org/10.2172/414367, 1996. a
Gupta, R. and Ansell, P. J.: Unsteady Flow Physics of Airfoil Dynamic Stall, AIAA J., 57, 165–175, https://doi.org/10.2514/1.J057257, 2019. a
Gutiérrez, R., Llórente, E., Echeverría, F., and Ragni, D.: Wind tunnel tests for vortex generators mitigating leading-edge roughness on a 30% thick airfoil, J. Phys. Conf. Ser., 1618, 52058, https://doi.org/10.1088/1742-6596/1618/5/052058, 2020. a
IRENA: Future of wind: Deployment, investment, technology, grid integration and socio-economic aspects (A Global Energy Transformation paper), Tech. rep., International Renewable Energy Agency, Abu Dhabi, ISBN 978-92-9260-155-3, 2019. a
Jones, B.: The Measurement of Profile Drag by the Pitot-Traverse Method, Tech. rep., The Cambridge University Aeronautics Laboratory (R&M No. 1688), 1936. a
Leishman, J. G. and Beddoes, T. S.: A Semi-Empirical Model for Dynamic Stall, J. Am. Helicopter Soc., 34, 3–17, https://doi.org/10.4050/JAHS.34.3.3, 1989. a
Li, S., Zhang, L., Xu, J., Yang, K., Song, J., and Guo, G.: Experimental investigation of a pitch-oscillating wind turbine airfoil with vortex generators, J. Renew. Sustain. Ener., 12, 63304, https://doi.org/10.1063/5.0013300, 2020. a
Lin, J. C.: Review of research on low-profile vortex generators to control boundary-layer separation, Prog. Aerosp. Sci., 38, 389–420, https://doi.org/10.1016/S0376-0421(02)00010-6, 2002. a, b, c
Manolesos, M., Celik, Y., Ramsay, H., Karande, R., Wood, B., Dinwoodie, I., Masters, I., Harrold, M., and Papadakis, G.: Performance improvement of a Vestas V52 850 kW wind turbine by retrofitting passive flow control devices, J. Phys. Conf. Ser., 2767, 022027, https://doi.org/10.1088/1742-6596/2767/2/022027, 2024. a
Martínez-Filgueira, P., Fernandez-Gamiz, U., Zulueta, E., Errasti, I., and Fernandez-Gauna, B.: Parametric study of low-profile vortex generators, International Journal of Hydrogen Energy, 42, 17700–17712, https://doi.org/10.1016/j.ijhydene.2017.03.102, 2017. a
McAlister, K. W., Pucci, S. L., McCroskey, W. J., and Carr, L. W.: An Experimental Study of Dynamic Stall on Advanced Airfoil Sections, Pressure and Force Data, vol. 2, Tech. rep., NASA Technical Memorandum 84245, 1982. a
McCroskey, W. J.: Recent developments in rotor blade stall, in: AGARD Conference Proceedings no. 111 Aerodynamics of Rotary Wings, vol. 111, pp. 15–1 to 15–13, 1972. a
McCroskey, W. J. and Fisher, R.: Dynamic stall of airfoils and helicopter rotors, AGARD R, 595, 1–7, 1972. a
McCroskey, W. J., McAlister, K. W., Carr, L. W., Pucci, S. L., Lambert, O., and Indergrand, R. F.: Dynamic Stall on Advanced Airfoil Sections, J. Am Helicopter Soc., 26, 40–50, https://doi.org/10.4050/JAHS.26.3.40, 1981. a, b, c
McKenna, R., Ostman, P., and Fichtner, W.: Key challenges and prospects for large wind turbines, Renew. Sust. Energ. Rev., 53, 1212–1221, https://doi.org/10.1016/j.rser.2015.09.080, 2016. a
Mueller-Vahl, H., Pechlivanoglou, G., Nayeri, C. N., and Paschereit, C. O.: Vortex generators for wind turbine blades: A combined wind tunnel and wind turbine parametric study, Proceedings of the ASME Turbo Expo, 6, 899–914, https://doi.org/10.1115/GT2012-69197, 2012. a
Rasmussen, F., Petersen, J., and Madsen, H.: Dynamic stall and aerodynamic damping, in: 1998 ASME Wind Energy Symposium, 44–51, American Institute of Aeronautics and Astronautics, Reston, Virigina, https://doi.org/10.2514/6.1998-24, 1998. a
Ravishankara, A. K., Bakhmet, I., and Özdemir, H.: Estimation of roughness effects on wind turbine blades with vortex generators, J. Phys. Conf. Ser., 1618, 52031, https://doi.org/10.1088/1742-6596/1618/5/052031, 2020. a
Sahoo, A., Ferreira, C. S., Ravishankara, A. K., Schepers, G., and Yu, W.: Validation of an engineering model for vortex generators in a viscous-inviscid interaction method for airfoil analysis, J. Phys. Conf. Ser., 2647, 112012, https://doi.org/10.1088/1742-6596/2647/11/112012, 2024a. a
Sahoo, A., Ferreira, C. S., and Yu, W.: Assessing the impact of vortex generators on the dynamic stall behaviour of a thick airfoil, J. Phys. Conf. Ser., 2767, 22019, https://doi.org/10.1088/1742-6596/2767/2/022019, IOP Publishing, 2024b. a, b, c, d
Sahoo, A., Yu, W., Ragni, D., and Simao Ferreira, C.: Data supporting the publication: “Vortex generator design for unsteady flow separation control and dynamic stall suppression on pitching thick airfoils”, Version 1, 4TU.ResearchData [data set], https://doi.org/10.4121/374c2baa-aca1-487e-8463-6ef167569be7, 2026. a
Schepers, J., Boorsma, K., Sørensen, N., Voutsinas, Sieros, G., Rahimi, H., Heisselmann, H., Jost, E., Lutz, T., Maeder, T., Gonzalez, A., Ferreira, C., Stoevesandt, B., Barakos, G., Lampropoulos, N., Croce, A., and Madsen, J.: Final results from the EU project AVATAR: Aerodynamic modelling of 10 MW wind turbines, J. Phys. Conf. Ser., 1037, 022013, https://doi.org/10.1088/1742-6596/1037/2/022013, 2018. a
Shipley, D. E., Miller, M. S., Robinson, M. C., Luttges, M. W., and Simms, D. A.: Evidence that Aerodynamic Effects, including Dynamic Stall, Dictate HAWT Structure Loads and Power Generation in Highly Transient Time Frames, in: Windpower, NREL/TP-441-7080, May 9–13, Minneapolis, Minnesota, 1994. a
Skrzypiński, W., Gaunaa, M., and Bak, C.: The effect of mounting vortex generators on the DTU 10MW reference wind turbine blade, J. Phys. Conf. Ser., 524, https://doi.org/10.1088/1742-6596/524/1/012034, 2014. a
Skrzypiński, W., Gaunaa, M., Bak, C., Junker, B., Brønnum, N. B., and Kruse, E. K.: Increase in the annual energy production due to a retrofit of vortex generators on blades, Wind Energy, 23, 617–626, https://doi.org/10.1002/we.2446, 2020. a
Timmer, W. A.: Wind Tunnel Wall Corrections for Two-Dimensional Testing up to Large Angles of Attack, in: Handbook of Wind Energy Aerodynamics, Springer International Publishing, Cham, 1–29, https://doi.org/10.1007/978-3-030-05455-7_27-1, 2021. a
Timmer, W. A. and van Rooij, R. P. J. O. M.: Summary of the Delft University Wind Turbine Dedicated Airfoils, Journal of Solar Energy Engineering, 125, 488–496, https://doi.org/10.1115/1.1626129, 2003. a, b
Wei, B., Gao, Y., and Hu, S.: Experimental Study on Multiobjective Flow Control of Dynamic Stalls Using a Vortex Generator, J. Aerospace Eng., 36, 4023083, https://doi.org/10.1061/JAEEEZ.ASENG-4989, 2023. a
Zahle, F., Barlas, T., Lønbæk, K., Bortolotti, P., Zalkind, D., Wang, L., Labuschagne, C., Sethuraman, L., and Barter, G.: Definition of the IEA Wind 22-Megawatt Offshore Reference Wind Turbine, Tech. rep., https://doi.org/10.11581/DTU.00000317, 2024. a, b
Zhao, Z., Jiang, R., Feng, J., Liu, H., Wang, T., Shen, W., Chen, M., Wang, D., and Liu, Y.: Researches on vortex generators applied to wind turbines: A review, Ocean Eng., 253, 111266, https://doi.org/10.1016/j.oceaneng.2022.111266, 2022. a
Zhen, T. K., Zubair, M., and Ahmad, K. A.: Experimental and Numerical Investigation of the Effects of Passive Vortex Generators on Aludra UAV Performance, Chinese J. Aeronaut., 24, 577–583, https://doi.org/10.1016/S1000-9361(11)60067-8, 2011. a
Zhu, C., Wang, T., Chen, J., and Zhong, W.: Effect of Single-Row and Double-Row Passive Vortex Generators on the Deep Dynamic Stall of a Wind Turbine Airfoil, Energies, 13, 2535, https://doi.org/10.3390/en13102535, 2020. a, b
Zhu, C., Qiu, Y., Feng, Y., Wang, T., and Li, H.: Combined effect of passive vortex generators and leading-edge roughness on dynamic stall of the wind turbine airfoil, Energ. Convers. Manage., 251, 115015, https://doi.org/10.1016/j.enconman.2021.115015, 2022. a, b
Short summary
Vortex generators (VGs) are being used to prevent flow separation and stall on wind turbine blades. Optimal VG designs are chosen from steady investigations, assuming similar separation control characteristics between steady and unsteady conditions. Surface pressure measurements on a thick pitching airfoil with VGs show that VGs larger than the optimal steady size and rectangular VGs instead of the common triangular VGs must be used to consistently prevent unsteady flow separation and dynamic stall.
Vortex generators (VGs) are being used to prevent flow separation and stall on wind turbine...
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