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jBAY Modeling of Vane-Type Vortex Generators and Study on Airfoil Aerodynamic Performance

Author

Listed:
  • Sergio Chillon

    (Department of Nuclear and Fluid Mechanics, University of the Basque Country (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain)

  • Antxon Uriarte-Uriarte

    (Department of Nuclear and Fluid Mechanics, University of the Basque Country (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain)

  • Iñigo Aramendia

    (Department of Nuclear and Fluid Mechanics, University of the Basque Country (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain)

  • Pablo Martínez-Filgueira

    (CS Centro Stirling S.Coop, Avenida Álava 3, 20550 Aretxabaleta, Spain)

  • Unai Fernandez-Gamiz

    (Department of Nuclear and Fluid Mechanics, University of the Basque Country (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain)

  • Iosu Ibarra-Udaeta

    (Department of Nuclear and Fluid Mechanics, University of the Basque Country (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain)

Abstract

The increased demand for wind power is related to changes in the sizes of wind turbines and the development of flow control devices, such as vortex generators (VGs). In the present study, an analysis of the vortices generated by a vane-type VG is performed. To that end, the aerodynamic performance of a DU97W300 airfoil with and without VG is evaluated. The jBAY source term model was implemented for simulation of a triangular-shaped VG and the resolution of the fully meshed computational fluid dynamics (CFD) model. Reynolds-averaged Navier–Stokes (RANS) based simulations were used to calculate the effect of VGs in steady state, and the detached eddy simulation (DES) method was used for angles of attack (AoAs) around the stall situation. All jBAY based numerical simulations were carried out with a Reynolds number of Re = 2 × 10 6 to analyze the influence of VGs with AoAs between 0 and 20° and were validated versus experimental wind tunnel results. The results show that setting up a VG device on an airfoil benefits its aerodynamic performance and that the use of the jBAY model for simulation is accurate and efficient.

Suggested Citation

  • Sergio Chillon & Antxon Uriarte-Uriarte & Iñigo Aramendia & Pablo Martínez-Filgueira & Unai Fernandez-Gamiz & Iosu Ibarra-Udaeta, 2020. "jBAY Modeling of Vane-Type Vortex Generators and Study on Airfoil Aerodynamic Performance," Energies, MDPI, vol. 13(10), pages 1-15, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2423-:d:357177
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    References listed on IDEAS

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    1. Houghton, T. & Bell, K.R.W. & Doquet, M., 2016. "Offshore transmission for wind: Comparing the economic benefits of different offshore network configurations," Renewable Energy, Elsevier, vol. 94(C), pages 268-279.
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    4. Andrés Meana-Fernández & Jesús Manuel Fernández Oro & Katia María Argüelles Díaz & Sandra Velarde-Suárez, 2019. "Turbulence-Model Comparison for Aerodynamic-Performance Prediction of a Typical Vertical-Axis Wind-Turbine Airfoil," Energies, MDPI, vol. 12(3), pages 1-16, February.
    5. Gao, Linyue & Zhang, Hui & Liu, Yongqian & Han, Shuang, 2015. "Effects of vortex generators on a blunt trailing-edge airfoil for wind turbines," Renewable Energy, Elsevier, vol. 76(C), pages 303-311.
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    Cited by:

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    2. José Luis Torres-Madroñero & Joham Alvarez-Montoya & Daniel Restrepo-Montoya & Jorge Mario Tamayo-Avendaño & César Nieto-Londoño & Julián Sierra-Pérez, 2020. "Technological and Operational Aspects That Limit Small Wind Turbines Performance," Energies, MDPI, vol. 13(22), pages 1-39, November.
    3. Moon, Hyeongi & Jeong, Junhee & Park, Sunho & Ha, Kwangtae & Jeong, Jae-Ho, 2023. "Numerical and experimental validation of vortex generator effect on power performance improvement in MW-class wind turbine blade," Renewable Energy, Elsevier, vol. 212(C), pages 443-454.
    4. Alejandro Ballesteros-Coll & Koldo Portal-Porras & Unai Fernandez-Gamiz & Ekaitz Zulueta & Jose Manuel Lopez-Guede, 2021. "Rotating Microtab Implementation on a DU91W250 Airfoil Based on the Cell-Set Model," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    5. Alejandro Ballesteros-Coll & Unai Fernandez-Gamiz & Iñigo Aramendia & Ekaitz Zulueta & José Antonio Ramos-Hernanz, 2020. "Cell-Set Modelling for a Microtab Implementation on a DU91W(2)250 Airfoil," Energies, MDPI, vol. 13(24), pages 1-15, December.

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