IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i11p4343-d1156230.html
   My bibliography  Save this article

Experimental Analysis of Oscillatory Vortex Generators in Wind Turbine Blade

Author

Listed:
  • Hector G. Parra

    (Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Bogotá 110231, Colombia)

  • Hernan D. Ceron

    (Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos 13566-590, Brazil)

  • William Gomez

    (Ingeniería Mecánica, Universidad Militar Nueva Granada, Bogotá 110111, Colombia)

  • Elvis E. Gaona

    (Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Bogotá 110231, Colombia)

Abstract

Vortex generators are devices that modify the wind behavior near the surface of wind turbine blades. Their use allows the boundary layer shedding transition zone to be varied. Bio-inspired design has been used to improve the efficiency of aerodynamic and hydrodynamic systems by creating devices that use shapes present in animals and plants. In this work, an experimental methodology is proposed to study the effect of bio-inspired vortex generators and their effect on the structural vibration of a blade. In addition, the wind wake generated by the blade with oscillating vortex generators at different oscillation frequencies is analyzed by means of a hot wire anemometer, obtaining appreciable vibration reduction results in the measured 3D acceleration signals for wind velocities between 10 and 15 m/s. Values of the spectral components of the wake velocity measured at higher tunnel wind velocities increase. Spectral variance is reduced at higher tunnel wind velocities. The system analyzed in this paper can contribute in the future to the construction of actuators for vibration compensation systems in wind turbines.

Suggested Citation

  • Hector G. Parra & Hernan D. Ceron & William Gomez & Elvis E. Gaona, 2023. "Experimental Analysis of Oscillatory Vortex Generators in Wind Turbine Blade," Energies, MDPI, vol. 16(11), pages 1-14, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4343-:d:1156230
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/11/4343/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/11/4343/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xie, Wei & Zeng, Pan & Lei, Liping, 2015. "Wind tunnel experiments for innovative pitch regulated blade of horizontal axis wind turbine," Energy, Elsevier, vol. 91(C), pages 1070-1080.
    2. Duc Tu Vu & Ngoc Minh Kieu & Tran Quoc Tien & Thanh Phuong Nguyen & Hoang Vu & Seoyong Shin & Ngoc Hai Vu, 2022. "Solar Concentrator Bio-Inspired by the Superposition Compound Eye for High-Concentration Photovoltaic System up to Thousands Fold Factor," Energies, MDPI, vol. 15(9), pages 1-24, May.
    3. Róbert Csalódi & Tímea Czvetkó & Viktor Sebestyén & János Abonyi, 2022. "Sectoral Analysis of Energy Transition Paths and Greenhouse Gas Emissions," Energies, MDPI, vol. 15(21), pages 1-26, October.
    4. Su-min Kim & Woo-Sung Jung & Woo-Hyeon Kim & Tae-Kyoung Bang & Dae-Hyun Lee & Yong-Joo Kim & Jang-Young Choi, 2022. "Optimal Design of Permanent Magnet Synchronous Machine Based on Random Walk Method and Semi 3D Magnetic Equivalent Circuit Considering Overhang Effect," Energies, MDPI, vol. 15(21), pages 1-10, October.
    5. Guo, Qiang & Zhou, Lingjiu & Wang, Zhengwei, 2015. "Comparison of BEM-CFD and full rotor geometry simulations for the performance and flow field of a marine current turbine," Renewable Energy, Elsevier, vol. 75(C), pages 640-648.
    6. Rodrigues, S.S. & Marta, A.C., 2019. "On addressing wind turbine noise with after-market shape blade add-ons," Renewable Energy, Elsevier, vol. 140(C), pages 602-614.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Weijun Zhu & Jiaying Liu & Zhenye Sun & Jiufa Cao & Guangxing Guo & Wenzhong Shen, 2022. "Numerical Study on Flow and Noise Characteristics of an NACA0018 Airfoil with a Porous Trailing Edge," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    2. Ahn, Soo-Hwang & Xiao, Yexiang & Wang, Zhengwei & Zhou, Xuezhi & Luo, Yongyao, 2017. "Performance prediction of a prototype tidal power turbine by using a suitable numerical model," Renewable Energy, Elsevier, vol. 113(C), pages 293-302.
    3. Baniassadi, Amir & Shirinbakhsh, Mehrdad & Torabi, Farschad, 2017. "Multivariate optimization of off-grid wind turbines with variable demand - Case study of a remote commercial building," Renewable Energy, Elsevier, vol. 101(C), pages 1021-1029.
    4. Dou, Bingzheng & Guala, Michele & Lei, Liping & Zeng, Pan, 2019. "Experimental investigation of the performance and wake effect of a small-scale wind turbine in a wind tunnel," Energy, Elsevier, vol. 166(C), pages 819-833.
    5. 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.
    6. Fathabadi, Hassan, 2016. "Novel highly accurate universal maximum power point tracker for maximum power extraction from hybrid fuel cell/photovoltaic/wind power generation systems," Energy, Elsevier, vol. 116(P1), pages 402-416.
    7. Ahn, Soo-Hwang & Xiao, Yexiang & Wang, Zhengwei & Zhou, Xuezhi & Luo, Yongyao, 2017. "Numerical prediction on the effect of free surface vortex on intake flow characteristics for tidal power station," Renewable Energy, Elsevier, vol. 101(C), pages 617-628.
    8. Gorle, J.M.R. & Chatellier, L. & Pons, F. & Ba, M., 2019. "Modulated circulation control around the blades of a vertical axis hydrokinetic turbine for flow control and improved performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 363-377.
    9. Edmunds, M. & Williams, A.J. & Masters, I. & Croft, T.N., 2017. "An enhanced disk averaged CFD model for the simulation of horizontal axis tidal turbines," Renewable Energy, Elsevier, vol. 101(C), pages 67-81.
    10. José R. Dorrego & Armando Ríos & Quetzalcoatl Hernandez-Escobedo & Rafael Campos-Amezcua & Reynaldo Iracheta & Orlando Lastres & Pascual López & Antonio Verde & Liliana Hechavarria & Miguel-Angel Pere, 2021. "Theoretical and Experimental Analysis of Aerodynamic Noise in Small Wind Turbines," Energies, MDPI, vol. 14(3), pages 1-21, January.
    11. Bingzheng Dou & Zhanpei Yang & Michele Guala & Timing Qu & Liping Lei & Pan Zeng, 2020. "Comparison of Different Driving Modes for the Wind Turbine Wake in Wind Tunnels," Energies, MDPI, vol. 13(8), pages 1-17, April.
    12. He, Ruiyang & Sun, Haiying & Gao, Xiaoxia & Yang, Hongxing, 2022. "Wind tunnel tests for wind turbines: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    13. Fathabadi, Hassan, 2016. "Novel high-efficient unified maximum power point tracking controller for hybrid fuel cell/wind systems," Applied Energy, Elsevier, vol. 183(C), pages 1498-1510.
    14. Xie, Wei & Zeng, Pan & Lei, Liping, 2017. "Wind tunnel testing and improved blade element momentum method for umbrella-type rotor of horizontal axis wind turbine," Energy, Elsevier, vol. 119(C), pages 334-350.
    15. Bai, Chi-Jeng & Wang, Wei-Cheng, 2016. "Review of computational and experimental approaches to analysis of aerodynamic performance in horizontal-axis wind turbines (HAWTs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 506-519.
    16. Leidy Tatiana Contreras & Omar Dario Lopez & Santiago Lain, 2018. "Computational Fluid Dynamics Modelling and Simulation of an Inclined Horizontal Axis Hydrokinetic Turbine," Energies, MDPI, vol. 11(11), pages 1-23, November.
    17. Arabgolarcheh, Alireza & Jannesarahmadi, Sahar & Benini, Ernesto, 2022. "Modeling of near wake characteristics in floating offshore wind turbines using an actuator line method," Renewable Energy, Elsevier, vol. 185(C), pages 871-887.
    18. Niebuhr, C.M. & Schmidt, S. & van Dijk, M. & Smith, L. & Neary, V.S., 2022. "A review of commercial numerical modelling approaches for axial hydrokinetic turbine wake analysis in channel flow," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    19. Fathabadi, Hassan, 2016. "Maximum mechanical power extraction from wind turbines using novel proposed high accuracy single-sensor-based maximum power point tracking technique," Energy, Elsevier, vol. 113(C), pages 1219-1230.
    20. Farkas, Andrea & Degiuli, Nastia & Martić, Ivana & Barbarić, Marina & Guzović, Zvonimir, 2022. "The impact of biofilm on marine current turbine performance," Renewable Energy, Elsevier, vol. 190(C), pages 584-595.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4343-:d:1156230. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.