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Fluid–Structure Interaction Simulations of a Wind Gust Impacting on the Blades of a Large Horizontal Axis Wind Turbine

Author

Listed:
  • Gilberto Santo

    (Department of Electromechanical, Systems and Metal Engineering, Ghent University, Sint-Pietersnieuwstraat 41, 9000 Ghent, Belgium)

  • Mathijs Peeters

    (Department of Materials, Textiles and Chemical Engineering, Ghent University, Technologiepark-Zwijnaarde 907, 9052 Zwijnaarde, Belgium)

  • Wim Van Paepegem

    (Department of Materials, Textiles and Chemical Engineering, Ghent University, Technologiepark-Zwijnaarde 907, 9052 Zwijnaarde, Belgium)

  • Joris Degroote

    (Department of Electromechanical, Systems and Metal Engineering, Ghent University, Sint-Pietersnieuwstraat 41, 9000 Ghent, Belgium)

Abstract

The effect of a wind gust impacting on the blades of a large horizontal-axis wind turbine is analyzed by means of high-fidelity fluid–structure interaction (FSI) simulations. The employed FSI model consisted of a computational fluid dynamics (CFD) model reproducing the velocity stratification of the atmospheric boundary layer (ABL) and a computational structural mechanics (CSM) model loyally reproducing the composite materials of each blade. Two different gust shapes were simulated, and for each of them, two different amplitudes were analyzed. The gusts were chosen to impact the blade when it pointed upwards and was attacked by the highest wind velocity due to the presence of the ABL. The loads and the performance of the impacted blade were studied in detail, analyzing the effect of the different gust shapes and intensities. Also, the deflections of the blade were evaluated and followed during the blade’s rotation. The flow patterns over the blade were monitored in order to assess the occurrence and impact of flow separation over the monitored quantities.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:509-:d:311278
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    References listed on IDEAS

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    1. MacPhee, David W. & Beyene, Asfaw, 2015. "Experimental and Fluid Structure Interaction analysis of a morphing wind turbine rotor," Energy, Elsevier, vol. 90(P1), pages 1055-1065.
    2. Ebrahimi, Abbas & Sekandari, Mahmood, 2018. "Transient response of the flexible blade of horizontal-axis wind turbines in wind gusts and rapid yaw changes," Energy, Elsevier, vol. 145(C), pages 261-275.
    3. Wu, Zhenlong & Bangga, Galih & Cao, Yihua, 2019. "Effects of lateral wind gusts on vertical axis wind turbines," Energy, Elsevier, vol. 167(C), pages 1212-1223.
    4. 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.
    5. 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.
    6. 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.
    7. Andrea Vajda & Heikki Tuomenvirta & Ilkka Juga & Pertti Nurmi & Pauli Jokinen & Jenni Rauhala, 2014. "Severe weather affecting European transport systems: the identification, classification and frequencies of events," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(1), pages 169-188, May.
    8. 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.
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    Cited by:

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    4. Zareian, Mohammad & Rasam, Amin & Hashemi Tari, Pooyan, 2024. "A detached-eddy simulation study on assessing the impact of extreme wind conditions on load and wake characteristics of a horizontal-axis wind turbine," Energy, Elsevier, vol. 299(C).
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    6. Rizwan Haider & Xin Li & Wei Shi & Zaibin Lin & Qing Xiao & Haisheng Zhao, 2024. "Review of Computational Fluid Dynamics in the Design of Floating Offshore Wind Turbines," Energies, MDPI, vol. 17(17), pages 1-37, August.

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