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Computational Modeling of Gurney Flaps and Microtabs by POD Method

Author

Listed:
  • Unai Fernandez-Gamiz

    (Nuclear Engineering and Fluid Mechanics Department, University Basque Country, UPV/EHU, 01006 Vitoria, Spain)

  • Macarena Gomez-Mármol

    (Department Ecuac Diferenciales & Anal Numer, Fac Mathematics, University Seville, 41012 Seville, Spain)

  • Tomas Chacón-Rebollo

    (Department Ecuac Diferenciales & Anal Numer, Fac Mathematics, University Seville, 41012 Seville, Spain
    Instituto de Matemáticas Universidad de Sevilla (IMUS), University Seville, 41012 Seville, Spain)

Abstract

Gurney flaps (GFs) and microtabs (MTs) are two of the most frequently used passive flow control devices on wind turbines. They are small tabs situated close to the airfoil trailing edge and normal to the surface. A study to find the most favorable dimension and position to improve the aerodynamic performance of an airfoil is presented herein. Firstly, a parametric study of a GF on a S810 airfoil and an MT on a DU91(2)250 airfoil was carried out. To that end, 2D computational fluid dynamic simulations were performed at Re = 10 6 based on the airfoil chord length and using RANS equations. The GF and MT design parameters resulting from the computational fluid dynamics (CFD) simulations allowed the sizing of these passive flow control devices based on the airfoil’s aerodynamic performance. In both types of flow control devices, the results showed an increase in the lift-to-drag ratio for all angles of attack studied in the current work. Secondly, from the data obtained by means of CFD simulations, a regular function using the proper orthogonal decomposition (POD) was used to build a reduced order method. In both flow control cases (GFs and MTs), the recursive POD method was able to accurately and very quickly reproduce the computational results with very low computational cost.

Suggested Citation

  • Unai Fernandez-Gamiz & Macarena Gomez-Mármol & Tomas Chacón-Rebollo, 2018. "Computational Modeling of Gurney Flaps and Microtabs by POD Method," Energies, MDPI, vol. 11(8), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2091-:d:163232
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    References listed on IDEAS

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    1. Davide Astolfi & Francesco Castellani & Ludovico Terzi, 2018. "Wind Turbine Power Curve Upgrades," Energies, MDPI, vol. 11(5), pages 1-17, May.
    2. Unai Fernandez-Gamiz & Ekaitz Zulueta & Ana Boyano & Igor Ansoategui & Irantzu Uriarte, 2017. "Five Megawatt Wind Turbine Power Output Improvements by Passive Flow Control Devices," Energies, MDPI, vol. 10(6), pages 1-15, May.
    3. Kuo-Chang Tsai & Cheng-Tang Pan & Aubryn M. Cooperman & Scott J. Johnson & C. P. Van Dam, 2015. "An Innovative Design of a Microtab Deployment Mechanism for Active Aerodynamic Load Control," Energies, MDPI, vol. 8(6), pages 1-13, June.
    4. Hwangbo, Hoon & Ding, Yu & Eisele, Oliver & Weinzierl, Guido & Lang, Ulrich & Pechlivanoglou, Georgios, 2017. "Quantifying the effect of vortex generator installation on wind power production: An academia-industry case study," Renewable Energy, Elsevier, vol. 113(C), pages 1589-1597.
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    Cited by:

    1. Alejandro Ballesteros-Coll & Unai Fernandez-Gamiz & Iñigo Aramendia & Ekaitz Zulueta & Jose Manuel Lopez-Guede, 2020. "Computational Methods for Modelling and Optimization of Flow Control Devices," Energies, MDPI, vol. 13(14), pages 1-15, July.
    2. Mattia Basso & Carlo Cravero & Davide Marsano, 2021. "Aerodynamic Effect of the Gurney Flap on the Front Wing of a F1 Car and Flow Interactions with Car Components," Energies, MDPI, vol. 14(8), pages 1-15, April.
    3. Md Zishan Akhter & Farag Khalifa Omar, 2021. "Review of Flow-Control Devices for Wind-Turbine Performance Enhancement," Energies, MDPI, vol. 14(5), pages 1-35, February.
    4. Aitor Saenz-Aguirre & Unai Fernandez-Gamiz & Ekaitz Zulueta & Alain Ulazia & Jon Martinez-Rico, 2019. "Optimal Wind Turbine Operation by Artificial Neural Network-Based Active Gurney Flap Flow Control," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    5. Xinkai Li & Ke Yang & Xiaodong Wang, 2019. "Experimental and Numerical Analysis of the Effect of Vortex Generator Height on Vortex Characteristics and Airfoil Aerodynamic Performance," Energies, MDPI, vol. 12(5), pages 1-19, March.
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    8. Davide Astolfi & Francesco Castellani, 2019. "Wind Turbine Power Curve Upgrades: Part II," Energies, MDPI, vol. 12(8), pages 1-20, April.
    9. 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.
    10. Iñigo Aramendia & Unai Fernandez-Gamiz & Ekaitz Zulueta & Aitor Saenz-Aguirre & Daniel Teso-Fz-Betoño, 2019. "Parametric Study of a Gurney Flap Implementation in a DU91W(2)250 Airfoil," Energies, MDPI, vol. 12(2), pages 1-14, January.
    11. Koichi Watanabe & Yuji Ohya & Takanori Uchida, 2019. "Power Output Enhancement of a Ducted Wind Turbine by Stabilizing Vortices around the Duct," Energies, MDPI, vol. 12(16), pages 1-17, August.
    12. 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.
    13. Piotr Wiśniewski & Francesco Balduzzi & Zbigniew Buliński & Alessandro Bianchini, 2020. "Numerical Analysis on the Effectiveness of Gurney Flaps as Power Augmentation Devices for Airfoils Subject to a Continuous Variation of the Angle of Attack by Use of Full and Surrogate Models," Energies, MDPI, vol. 13(8), pages 1-25, April.
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