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A two-way coupling method for the study of aeroelastic effects in large wind turbines

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  • Della Posta, Giacomo
  • Leonardi, Stefano
  • Bernardini, Matteo

Abstract

The relevant size of state-of-the-art wind turbines suggests a significant Fluid-Structure Interaction. Given the difficulties to measure the phenomena occurring, researchers advocate high-fidelity numerical models exploiting Computational Fluid and Structural Dynamics. This work presents a novel aeroelastic model for wind turbines combining our Large-Eddy Simulation fluid solver with a modal beam-like structural solver. A loose algorithm couples the Actuator Line Model, which represents the blades in the fluid domain, with the structural model, which represents the flexural and torsional deformations. For the NREL 5 MW wind turbine, we compare the results of three sets of simulations. Firstly, we consider one-way coupled simulations where only the fluid solver provides the structural one with the aerodynamic loads; then, we consider two-way coupled simulations where the structural feedback to the fluid solver is made of the bending deformation velocities only; finally, we add to the feedback the torsional deformation. The comparison suggests that one-way coupled simulations tend to overpredict the power production and the structural oscillations. The flapwise blades vibration induces a significant aerodynamic damping in the structural motion, while the nose-down torsion reduces the mean aerodynamic forces, and hence the power, yet without introducing a marked dynamical effect.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:190:y:2022:i:c:p:971-992
    DOI: 10.1016/j.renene.2022.03.158
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    References listed on IDEAS

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    1. Meng, Hang & Lien, Fue-Sang & Li, Li, 2018. "Elastic actuator line modelling for wake-induced fatigue analysis of horizontal axis wind turbine blade," Renewable Energy, Elsevier, vol. 116(PA), pages 423-437.
    2. Dose, B. & Rahimi, H. & Herráez, I. & Stoevesandt, B. & Peinke, J., 2018. "Fluid-structure coupled computations of the NREL 5 MW wind turbine by means of CFD," Renewable Energy, Elsevier, vol. 129(PA), pages 591-605.
    3. 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.
    4. Li, Y. & Castro, A.M. & Sinokrot, T. & Prescott, W. & Carrica, P.M., 2015. "Coupled multi-body dynamics and CFD for wind turbine simulation including explicit wind turbulence," Renewable Energy, Elsevier, vol. 76(C), pages 338-361.
    5. Kecskemety, Krista M. & McNamara, Jack J., 2016. "Influence of wake dynamics on the performance and aeroelasticity of wind turbines," Renewable Energy, Elsevier, vol. 88(C), pages 333-345.
    6. Umberto Ciri & Giovandomenico Petrolo & Maria Vittoria Salvetti & Stefano Leonardi, 2017. "Large-Eddy Simulations of Two In-Line Turbines in a Wind Tunnel with Different Inflow Conditions," Energies, MDPI, vol. 10(6), pages 1-23, June.
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    1. Ziaul Huque & Fadoua Zemmouri & Haidong Lu & Raghava Rao Kommalapati, 2024. "Fluid–Structure Interaction Simulations of Wind Turbine Blades with Pointed Tips," Energies, MDPI, vol. 17(5), pages 1-29, February.
    2. Christian Santoni & Fotis Sotiropoulos & Ali Khosronejad, 2024. "A Comparative Analysis of Actuator-Based Turbine Structure Parametrizations for High-Fidelity Modeling of Utility-Scale Wind Turbines under Neutral Atmospheric Conditions," Energies, MDPI, vol. 17(3), pages 1-16, February.

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