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Development of an anisotropic beam finite element for composite wind turbine blades in multibody system

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  • Kim, Taeseong
  • Hansen, Anders M.
  • Branner, Kim

Abstract

In this paper a new anisotropic beam finite element for composite wind turbine blades is developed and implemented into the aeroelastic nonlinear multibody code, HAWC2, intended to be used to investigate if use of anisotropic material layups in wind turbine blades can be tailored for improved performance such as reduction of loads and/or increased power capture. The element stiffness and mass matrices are first derived based on pre-calculated anisotropic beam properties, and the beam element is subsequently put into a floating frame of reference to enable full rigid body displacement and rotation of the beam. This derivation provides the mass and stiffness properties and the fictitious forces needed for implementation into HAWC2. The implementation is subsequently validated by running three validation cases which all show good agreement with results obtained by other authors. Further, a parametric study is conducted in order to investigate if the given anisotropic effect of the composite blade, bend-twist coupling effect, is able to be examined by the developed beam element in a multibody system or not. Two different coupled examples of bend-twist coupling for the blade of a 5 MW fictitious wind turbine are considered. The two cases differ in the amount of bend-twist coupling introduced into the blade so that they produce 0.3° and 1° twist at the blade tip (toward feather), respectively, for a 1 m flapwise tip deflection toward the tower. It is examined if the current structural model is able to capture the anisotropic effects in a multibody system.

Suggested Citation

  • Kim, Taeseong & Hansen, Anders M. & Branner, Kim, 2013. "Development of an anisotropic beam finite element for composite wind turbine blades in multibody system," Renewable Energy, Elsevier, vol. 59(C), pages 172-183.
    • Handle: RePEc:eee:renene:v:59:y:2013:i:c:p:172-183
    DOI: 10.1016/j.renene.2013.03.033
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    Citations

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    Cited by:

    1. Chen, Z.J. & Stol, K.A. & Mace, B.R., 2017. "Wind turbine blade optimisation with individual pitch and trailing edge flap control," Renewable Energy, Elsevier, vol. 103(C), pages 750-765.
    2. Meng, Hang & Lien, Fue-Sang & Yee, Eugene & Shen, Jingfang, 2020. "Modelling of anisotropic beam for rotating composite wind turbine blade by using finite-difference time-domain (FDTD) method," Renewable Energy, Elsevier, vol. 162(C), pages 2361-2379.
    3. Kim, T. & Madsen, F.J. & Bredmose, H. & Pegalajar-Jurado, A., 2023. "Numerical analysis and comparison study of the 1:60 scaled DTU 10 MW TLP floating wind turbine," Renewable Energy, Elsevier, vol. 202(C), pages 210-221.
    4. Rezaeiha, Abdolrahim & Pereira, Ricardo & Kotsonis, Marios, 2017. "Fluctuations of angle of attack and lift coefficient and the resultant fatigue loads for a large Horizontal Axis Wind turbine," Renewable Energy, Elsevier, vol. 114(PB), pages 904-916.
    5. Hawari, Qusay & Kim, Taeseong & Ward, Christopher & Fleming, James, 2022. "A robust gain scheduling method for a PI collective pitch controller of multi-MW onshore wind turbines," Renewable Energy, Elsevier, vol. 192(C), pages 443-455.
    6. Liew, Jaime & Lio, Wai Hou & Urbán, Albert Meseguer & Holierhoek, Jessica & Kim, Taeseong, 2020. "Active tip deflection control for wind turbines," Renewable Energy, Elsevier, vol. 149(C), pages 445-454.
    7. Bei Li & De Tian & Xiaoxuan Wu & Huiwen Meng & Yi Su, 2023. "The Impact of Bend–Twist Coupling on Structural Characteristics and Flutter Limit of Ultra-Long Flexible Wind Turbine Composite Blades," Energies, MDPI, vol. 16(15), pages 1-20, August.
    8. Shah, Owaisur Rahman & Tarfaoui, Mostapha, 2016. "The identification of structurally sensitive zones subject to failure in a wind turbine blade using nodal displacement based finite element sub-modeling," Renewable Energy, Elsevier, vol. 87(P1), pages 168-181.
    9. Xu, Jin & Zhang, Lei & Li, Xue & Li, Shuang & Yang, Ke, 2020. "A study of dynamic response of a wind turbine blade based on the multi-body dynamics method," Renewable Energy, Elsevier, vol. 155(C), pages 358-368.
    10. Li, Y. & Castro, A.M. & Martin, J.E. & Sinokrot, T. & Prescott, W. & Carrica, P.M., 2017. "Coupled computational fluid dynamics/multibody dynamics method for wind turbine aero-servo-elastic simulation including drivetrain dynamics," Renewable Energy, Elsevier, vol. 101(C), pages 1037-1051.
    11. Kim, Yusik & Madsen, Helge Aa & Aparicio-Sanchez, Maria & Pirrung, Georg & Lutz, Thorsten, 2020. "Assessment of blade element momentum codes under varying turbulence levels by comparing with blade resolved computational fluid dynamics," Renewable Energy, Elsevier, vol. 160(C), pages 788-802.
    12. Ozan Gözcü & Taeseong Kim & David Robert Verelst & Michael K. McWilliam, 2022. "Swept Blade Dynamic Investigations for a 100 kW Small Wind Turbine," Energies, MDPI, vol. 15(9), pages 1-22, April.
    13. Pavese, Christian & Kim, Taeseong & Murcia, Juan Pablo, 2017. "Design of a wind turbine swept blade through extensive load analysis," Renewable Energy, Elsevier, vol. 102(PA), pages 21-34.
    14. Sessarego, Matias & Feng, Ju & Ramos-García, Néstor & Horcas, Sergio González, 2020. "Design optimization of a curved wind turbine blade using neural networks and an aero-elastic vortex method under turbulent inflow," Renewable Energy, Elsevier, vol. 146(C), pages 1524-1535.

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