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Parametric Study of a Gurney Flap Implementation in a DU91W(2)250 Airfoil

Author

Listed:
  • Iñigo Aramendia

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

  • Unai Fernandez-Gamiz

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

  • Ekaitz Zulueta

    (Automatic Control and System Engineering Department, University of the Basque Country UPV/EHU, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain)

  • Aitor Saenz-Aguirre

    (Automatic Control and System Engineering Department, University of the Basque Country UPV/EHU, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain)

  • Daniel Teso-Fz-Betoño

    (Automatic Control and System Engineering Department, University of the Basque Country UPV/EHU, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain)

Abstract

The growth in size and weight of wind turbines over the last years has led to the development of flow control devices, such as Gurney flaps (GFs). In the current work, a parametric study is presented to find the optimal GF length to improve the airfoil aerodynamic performance. Therefore, the influence of GF lengths from 0.25% to 3% of the airfoil chord c on a widely used DU91W(2)250 airfoil has been investigated by means of RANS based numerical simulations at Re = 2 × 10 6 . The numerical results showed that, for positive angles of attack, highest values of the lift-to-drag ratio C L /C D are obtained with GF lengths between 0.25% c and 0.75% c . Particularly, an increase of 21.57 in C L /C D ratio has been obtained with a GF length of 0.5% c at 2° of angle of attack AoA. The influence of GFs decreased at AoAs larger than 5°, where only a GF length of 0.25% c provides a slight improvement in terms of C L /C D ratio enhancement. Additionally, an ANN has been developed to predict the aerodynamic efficiency of the airfoil in terms of C L /C D ratio. This tool allows to obtain an accurate prediction model of the aerodynamic behavior of the airfoil with GFs.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:2:p:294-:d:198842
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    References listed on IDEAS

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    1. Shukla, Vivek & Kaviti, Ajay Kumar, 2017. "Performance evaluation of profile modifications on straight-bladed vertical axis wind turbine by energy and Spalart Allmaras models," Energy, Elsevier, vol. 126(C), pages 766-795.
    2. 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.
    3. Davide Astolfi & Francesco Castellani & Ludovico Terzi, 2018. "Wind Turbine Power Curve Upgrades," Energies, MDPI, vol. 11(5), pages 1-17, May.
    4. 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.
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    Cited by:

    1. 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.
    2. 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.
    3. Davide Astolfi & Francesco Castellani, 2019. "Wind Turbine Power Curve Upgrades: Part II," Energies, MDPI, vol. 12(8), pages 1-20, April.
    4. 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.
    5. Francesco Castellani & Abdelgalil Eltayesh & Matteo Becchetti & Antonio Segalini, 2021. "Aerodynamic Analysis of a Wind-Turbine Rotor Affected by Pitch Unbalance," Energies, MDPI, vol. 14(3), pages 1-16, January.
    6. 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.
    7. 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.
    8. Francesco Castellani & Davide Astolfi, 2020. "Editorial on Special Issue “Wind Turbine Power Optimization Technology”," Energies, MDPI, vol. 13(7), pages 1-4, April.

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