IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v179y2021icp1636-1649.html
   My bibliography  Save this article

A combined method of CFD simulation and modified Beddoes-Leishman model to predict the dynamic stall characterizations of S809 airfoil

Author

Listed:
  • Huang, Bin
  • Wang, Pengzhong
  • Wang, Lu
  • Cao, Tingfa
  • Wu, Dazhuan
  • Wu, Peng

Abstract

The Beddoes-Leishman model (B-L model) was widely applied in the airfoil's dynamic loads prediction. But the need for numerous experimental parameters greatly limits its application range. In this study, numerical simulation was used to simulate the wind tunnel experiments of airfoils to obtain the required parameters. Take the S809 and NACA0012 airfoils as examples, Fluent software was used to calculate the static parameters, and dynamic mesh technology was used to simulate the sinusoidal oscillation wind tunnel experiments of airfoils to obtain the dynamic parameters. Use the modified B-L model with the obtained parameters to predict the dynamic stall characteristics of the airfoils. The predicted results are in good agreement with the experimental data of the wind tunnel, which means that it is promising to use numerical simulation to calculate the parameters required by the B-L model to predict the dynamic stall characteristics of an airfoil. It provides a simpler and more feasible method for predicting the dynamic loads of the blade of wind turbines and tidal current turbines.

Suggested Citation

  • Huang, Bin & Wang, Pengzhong & Wang, Lu & Cao, Tingfa & Wu, Dazhuan & Wu, Peng, 2021. "A combined method of CFD simulation and modified Beddoes-Leishman model to predict the dynamic stall characterizations of S809 airfoil," Renewable Energy, Elsevier, vol. 179(C), pages 1636-1649.
    • Handle: RePEc:eee:renene:v:179:y:2021:i:c:p:1636-1649
    DOI: 10.1016/j.renene.2021.07.131
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148121011411
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2021.07.131?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Abuan, Binoe E. & Howell, Robert J., 2019. "The performance and hydrodynamics in unsteady flow of a horizontal axis tidal turbine," Renewable Energy, Elsevier, vol. 133(C), pages 1338-1351.
    2. Scarlett, Gabriel Thomas & Sellar, Brian & van den Bremer, Ton & Viola, Ignazio Maria, 2019. "Unsteady hydrodynamics of a full-scale tidal turbine operating in large wave conditions," Renewable Energy, Elsevier, vol. 143(C), pages 199-213.
    3. Gharali, Kobra & Johnson, David A., 2012. "Numerical modeling of an S809 airfoil under dynamic stall, erosion and high reduced frequencies," Applied Energy, Elsevier, vol. 93(C), pages 45-52.
    4. Zhang, Mengjie & Wu, Qin & Wang, Guoyu & Huang, Biao & Fu, Xiaoying & Chen, Jie, 2020. "The flow regime and hydrodynamic performance for a pitching hydrofoil," Renewable Energy, Elsevier, vol. 150(C), pages 412-427.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Zhiguo & Gao, Zhiying & Chen, Yongyan & Zhang, Liru & Wang, Jianwen, 2022. "A novel dynamic stall model based on Theodorsen theory and its application," Renewable Energy, Elsevier, vol. 193(C), pages 344-356.

    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. Wekesa, David Wafula & Wang, Cong & Wei, Yingjie & Danao, Louis Angelo M., 2017. "Analytical and numerical investigation of unsteady wind for enhanced energy capture in a fluctuating free-stream," Energy, Elsevier, vol. 121(C), pages 854-864.
    2. Tariq Ullah & Krzysztof Sobczak & Grzegorz Liśkiewicz & Amjid Khan, 2022. "Two-Dimensional URANS Numerical Investigation of Critical Parameters on a Pitch Oscillating VAWT Airfoil under Dynamic Stall," Energies, MDPI, vol. 15(15), pages 1-19, August.
    3. Deshun Li & Ting He & Qing Wang, 2023. "Experimental Research on the Effect of Particle Parameters on Dynamic Stall Characteristics of the Wind Turbine Airfoil," Energies, MDPI, vol. 16(4), pages 1-15, February.
    4. Huang, Haoda & Liu, Qingsong & Yue, Minnan & Miao, Weipao & Wang, Peilin & Li, Chun, 2023. "Fully coupled aero-hydrodynamic analysis of a biomimetic fractal semi-submersible floating offshore wind turbine under wind-wave excitation conditions," Renewable Energy, Elsevier, vol. 203(C), pages 280-300.
    5. Liu, Jian & Zhu, Wenqing & Xiao, Zhixiang & Sun, Haisheng & Huang, Yong & Liu, Zhitao, 2018. "DDES with adaptive coefficient for stalled flows past a wind turbine airfoil," Energy, Elsevier, vol. 161(C), pages 846-858.
    6. Zia Ur Rehman & Saeed Badshah & Amer Farhan Rafique & Mujahid Badshah & Sakhi Jan & Muhammad Amjad, 2021. "Effect of a Support Tower on the Performance and Wake of a Tidal Current Turbine," Energies, MDPI, vol. 14(4), pages 1-13, February.
    7. Tao Luo & De Tian & Ruoyu Wang & Caicai Liao, 2018. "Stochastic Dynamic Response Analysis of a 10 MW Tension Leg Platform Floating Horizontal Axis Wind Turbine," Energies, MDPI, vol. 11(12), pages 1-24, November.
    8. Li, Qing'an & Kamada, Yasunari & Maeda, Takao & Murata, Junsuke & Nishida, Yusuke, 2016. "Effect of turbulent inflows on airfoil performance for a Horizontal Axis Wind Turbine at low Reynolds numbers (part I: Static pressure measurement)," Energy, Elsevier, vol. 111(C), pages 701-712.
    9. Abutunis, Abdulaziz & Hussein, Rafid & Chandrashekhara, K., 2019. "A neural network approach to enhance blade element momentum theory performance for horizontal axis hydrokinetic turbine application," Renewable Energy, Elsevier, vol. 136(C), pages 1281-1293.
    10. Faizan, Muhammad & Badshah, Saeed & Badshah, Mujahid & Haider, Basharat Ali, 2022. "Performance and wake analysis of horizontal axis tidal current turbine using Improved Delayed Detached Eddy Simulation," Renewable Energy, Elsevier, vol. 184(C), pages 740-752.
    11. Gambuzza, Stefano & Pisetta, Gabriele & Davey, Thomas & Steynor, Jeffrey & Viola, Ignazio Maria, 2023. "Model-scale experiments of passive pitch control for tidal turbines," Renewable Energy, Elsevier, vol. 205(C), pages 10-29.
    12. Lam, Raymond & Dubon, Sergio Lopez & Sellar, Brian & Vogel, Christopher & Davey, Thomas & Steynor, Jeffrey, 2023. "Temporal and spatial characterisation of tidal blade load variation for structural fatigue testing," Renewable Energy, Elsevier, vol. 208(C), pages 665-678.
    13. Perez, Larissa & Cossu, Remo & Grinham, Alistair & Penesis, Irene, 2021. "Seasonality of turbulence characteristics and wave-current interaction in two prospective tidal energy sites," Renewable Energy, Elsevier, vol. 178(C), pages 1322-1336.
    14. Perez, Larissa & Cossu, Remo & Grinham, Alistair & Penesis, Irene, 2022. "An investigation of tidal turbine performance and loads under various turbulence conditions using Blade Element Momentum theory and high-frequency field data acquired in two prospective tidal energy s," Renewable Energy, Elsevier, vol. 201(P1), pages 928-937.
    15. Perez, Larissa & Cossu, Remo & Grinham, Alistair & Penesis, Irene, 2022. "Tidal turbine performance and loads for various hub heights and wave conditions using high-frequency field measurements and Blade Element Momentum theory," Renewable Energy, Elsevier, vol. 200(C), pages 1548-1560.
    16. Dai, Juchuan & Yang, Xin & Hu, Wei & Wen, Li & Tan, Yayi, 2018. "Effect investigation of yaw on wind turbine performance based on SCADA data," Energy, Elsevier, vol. 149(C), pages 684-696.
    17. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    18. Chengyong Zhu & Tongguang Wang & Jianghai Wu, 2019. "Numerical Investigation of Passive Vortex Generators on a Wind Turbine Airfoil Undergoing Pitch Oscillations," Energies, MDPI, vol. 12(4), pages 1-19, February.
    19. Thomas Scarlett, Gabriel & Viola, Ignazio Maria, 2020. "Unsteady hydrodynamics of tidal turbine blades," Renewable Energy, Elsevier, vol. 146(C), pages 843-855.
    20. Bakhtiari, Ehsan & Gharali, Kobra & Chini, Farshid & Al-Haq, Armughan & Nathwani, Jatin, 2023. "Slip influence on a blade performance under different pitch-oscillating motion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).

    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:eee:renene:v:179:y:2021:i:c:p:1636-1649. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.