IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v140y2019icp212-226.html
   My bibliography  Save this article

Dynamic load and stress analysis of a large horizontal axis wind turbine using full scale fluid-structure interaction simulation

Author

Listed:
  • Santo, G.
  • Peeters, M.
  • Van Paepegem, W.
  • Degroote, J.

Abstract

A dynamic load and stress analysis of a wind turbine is carried out using transient fluid-structure interaction simulations. On the structural side, the three 50 m long commercial glass-fiber epoxy blades are modelled using shell elements, accurately including the properties of the composite materials. On the fluid side, a hexahedral mesh is obtained for every blade and for the hub of the machine. These meshes are then overlaid to a structured background mesh through an overset technique. The displacements prescribed by the structural solver are imposed on top of the rigid rotation of the turbine. The atmospheric boundary layer (ABL) is included using the k-epsilon turbulence model. The computational fluid dynamics (CFD) and computational solid mechanics (CSM) solvers are strongly coupled using an in-house code. The transient evolution of loads, stresses and displacements on each blade is monitored throughout the simulated time. The ABL induces oscillating axial displacements in the outboard region of the blade. Furthermore, the influence of gravity on the structure is accounted for and investigated, showing that it largely affects the tangential displacement of the blade. The oscillating deformations lead to sensible differences in the torque provided by each blade during its rotation.

Suggested Citation

  • Santo, G. & Peeters, M. & Van Paepegem, W. & Degroote, J., 2019. "Dynamic load and stress analysis of a large horizontal axis wind turbine using full scale fluid-structure interaction simulation," Renewable Energy, Elsevier, vol. 140(C), pages 212-226.
    • Handle: RePEc:eee:renene:v:140:y:2019:i:c:p:212-226
    DOI: 10.1016/j.renene.2019.03.053
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119303581
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.03.053?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. Syed Ahmed Kabir, Ijaz Fazil & Ng, E.Y.K., 2019. "Effect of different atmospheric boundary layers on the wake characteristics of NREL phase VI wind turbine," Renewable Energy, Elsevier, vol. 130(C), pages 1185-1197.
    2. Yu, Dong Ok & Kwon, Oh Joon, 2014. "Predicting wind turbine blade loads and aeroelastic response using a coupled CFD–CSD method," Renewable Energy, Elsevier, vol. 70(C), pages 184-196.
    3. Menon, Muraleekrishnan & Ponta, Fernando L., 2017. "Dynamic aeroelastic behavior of wind turbine rotors in rapid pitch-control actions," Renewable Energy, Elsevier, vol. 107(C), pages 327-339.
    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. Gilberto Santo & Mathijs Peeters & Wim Van Paepegem & Joris Degroote, 2019. "Numerical Investigation of the Effect of Tower Dam and Rotor Misalignment on Performance and Loads of a Large Wind Turbine in the Atmospheric Boundary Layer," Energies, MDPI, vol. 12(7), pages 1-19, March.
    2. Kangqi Tian & Li Song & Yongyan Chen & Xiaofeng Jiao & Rui Feng & Rui Tian, 2022. "Stress Coupling Analysis and Failure Damage Evaluation of Wind Turbine Blades during Strong Winds," Energies, MDPI, vol. 15(4), pages 1-19, February.
    3. Marzec, Łukasz & Buliński, Zbigniew & Krysiński, Tomasz, 2021. "Fluid structure interaction analysis of the operating Savonius wind turbine," Renewable Energy, Elsevier, vol. 164(C), pages 272-284.
    4. Zhang, Dongqin & Liu, Zhenqing & Li, Weipeng & Hu, Gang, 2023. "LES simulation study of wind turbine aerodynamic characteristics with fluid-structure interaction analysis considering blade and tower flexibility," Energy, Elsevier, vol. 282(C).
    5. Zhuang, Chen & Yang, Gang & Zhu, Yawei & Hu, Dean, 2020. "Effect of morphed trailing-edge flap on aerodynamic load control for a wind turbine blade section," Renewable Energy, Elsevier, vol. 148(C), pages 964-974.
    6. Gilberto Santo & Mathijs Peeters & Wim Van Paepegem & Joris Degroote, 2020. "Fluid–Structure Interaction Simulations of a Wind Gust Impacting on the Blades of a Large Horizontal Axis Wind Turbine," Energies, MDPI, vol. 13(3), pages 1-20, January.
    7. Niels Pynaert & Thomas Haas & Jolan Wauters & Guillaume Crevecoeur & Joris Degroote, 2023. "Wing Deformation of an Airborne Wind Energy System in Crosswind Flight Using High-Fidelity Fluid–Structure Interaction," Energies, MDPI, vol. 16(2), pages 1-16, January.

    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. Mustafa Kaya, 2019. "A CFD Based Application of Support Vector Regression to Determine the Optimum Smooth Twist for Wind Turbine Blades," Sustainability, MDPI, vol. 11(16), pages 1-25, August.
    2. Zhang, Dongqin & Liu, Zhenqing & Li, Weipeng & Hu, Gang, 2023. "LES simulation study of wind turbine aerodynamic characteristics with fluid-structure interaction analysis considering blade and tower flexibility," Energy, Elsevier, vol. 282(C).
    3. Gilberto Santo & Mathijs Peeters & Wim Van Paepegem & Joris Degroote, 2020. "Fluid–Structure Interaction Simulations of a Wind Gust Impacting on the Blades of a Large Horizontal Axis Wind Turbine," Energies, MDPI, vol. 13(3), pages 1-20, January.
    4. N. Aravindhan & M. P. Natarajan & S. Ponnuvel & P.K. Devan, 2023. "Recent developments and issues of small-scale wind turbines in urban residential buildings- A review," Energy & Environment, , vol. 34(4), pages 1142-1169, June.
    5. Zhanpu Xue & Hao Zhang & Yunguang Ji, 2023. "Dynamic Response of a Flexible Multi-Body in Large Wind Turbines: A Review," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    6. Win Naung, Shine & Nakhchi, Mahdi Erfanian & Rahmati, Mohammad, 2021. "High-fidelity CFD simulations of two wind turbines in arrays using nonlinear frequency domain solution method," Renewable Energy, Elsevier, vol. 174(C), pages 984-1005.
    7. Haojie Kang & Bofeng Xu & Xiang Shen & Zhen Li & Xin Cai & Zhiqiang Hu, 2023. "Comparison of Blade Aeroelastic Responses between Upwind and Downwind of 10 MW Wind Turbines under the Shear Wind Condition," Energies, MDPI, vol. 16(6), pages 1-13, March.
    8. Liu, Xiong & Lu, Cheng & Liang, Shi & Godbole, Ajit & Chen, Yan, 2017. "Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades," Applied Energy, Elsevier, vol. 185(P2), pages 1109-1119.
    9. Xu Ning & Decheng Wan, 2019. "LES Study of Wake Meandering in Different Atmospheric Stabilities and Its Effects on Wind Turbine Aerodynamics," Sustainability, MDPI, vol. 11(24), pages 1-26, December.
    10. Purohit, Shantanu & Ng, E.Y.K. & Syed Ahmed Kabir, Ijaz Fazil, 2022. "Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake," Renewable Energy, Elsevier, vol. 184(C), pages 405-420.
    11. Pérez Albornoz, C. & Escalante Soberanis, M.A. & Ramírez Rivera, V. & Rivero, M., 2022. "Review of atmospheric stability estimations for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    12. Gao, Rongzhen & Yang, Junwei & Yang, Hua & Wang, Xiangjun, 2023. "Wind-tunnel experimental study on aeroelastic response of flexible wind turbine blades under different wind conditions," Renewable Energy, Elsevier, vol. 219(P2).
    13. Gilberto Santo & Mathijs Peeters & Wim Van Paepegem & Joris Degroote, 2019. "Numerical Investigation of the Effect of Tower Dam and Rotor Misalignment on Performance and Loads of a Large Wind Turbine in the Atmospheric Boundary Layer," Energies, MDPI, vol. 12(7), pages 1-19, March.
    14. Ji, Baifeng & Zhong, Kuanwei & Xiong, Qian & Qiu, Penghui & Zhang, Xu & Wang, Liang, 2022. "CFD simulations of aerodynamic characteristics for the three-blade NREL Phase VI wind turbine model," Energy, Elsevier, vol. 249(C).
    15. Kaldellis, John K. & Triantafyllou, Panagiotis & Stinis, Panagiotis, 2021. "Critical evaluation of Wind Turbines’ analytical wake models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    16. Zhang, Xiaoling & Zhang, Kejia & Yang, Xiao & Fazeres-Ferradosa, Tiago & Zhu, Shun-Peng, 2023. "Transfer learning and direct probability integral method based reliability analysis for offshore wind turbine blades under multi-physics coupling," Renewable Energy, Elsevier, vol. 206(C), pages 552-565.
    17. Pan He & Jian Xia, 2022. "Study on the Influence of Low-Level Jet on the Aerodynamic Characteristics of Horizontal Axis Wind Turbine Rotor Based on the Aerodynamics–Controller Interaction Method," Energies, MDPI, vol. 15(8), pages 1-18, April.
    18. Della Posta, Giacomo & Leonardi, Stefano & Bernardini, Matteo, 2022. "A two-way coupling method for the study of aeroelastic effects in large wind turbines," Renewable Energy, Elsevier, vol. 190(C), pages 971-992.
    19. Xue, Zhanpu & Wang, Wei & Fang, Liqing & Zhou, Jingbo, 2020. "Numerical simulation on structural dynamics of 5 MW wind turbine," Renewable Energy, Elsevier, vol. 162(C), pages 222-233.
    20. Liu, Zhenqing & Wang, Yize & Nyangi, Patrice & Zhu, Zhiwen & Hua, Xugang, 2021. "Proposal of a novel GPU-accelerated lifetime optimization method for onshore wind turbine dampers under real wind distribution," Renewable Energy, Elsevier, vol. 168(C), pages 516-543.

    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:140:y:2019:i:c:p:212-226. 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.