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Enhancing the reliability of floating offshore wind turbine towers subjected to misaligned wind-wave loading using tuned mass damper inerters (TMDIs)

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  • Fitzgerald, Breiffni
  • McAuliffe, James
  • Baisthakur, Shubham
  • Sarkar, Saptarshi

Abstract

Floating offshore wind turbines (FOWTs) are the largest rotating structures on the earth. Dynamically sensitive structures such as these must be protected in these environments to ensure that they can continue to operate reliably and safely. In this paper structural dynamic models and probabilistic assessment tools are combined to demonstrate improvements in structural reliability when FOWT towers are equipped with a new type of damper — the tuned mass damper inerter (TMDI). A multi-body dynamic approach is used to model the wind turbine and the TMDI installed in the tower. The model is subjected to stochastically generated wind and wave loads of varying magnitudes to develop wind-induced probabilistic demand models for towers of FOWTs under model and load uncertainties. A focus is placed on the impact of the wind-wave misalignment on the lightly damped side-to-side mode. Numerical simulations are carried out to construct fragility curves which illustrate reductions in the vulnerability of FOWTs to wind and wave loading owing to the inclusion of the new damper. Results show that the TMDI delivers significant increases in structural reliability of FOWT towers.

Suggested Citation

  • Fitzgerald, Breiffni & McAuliffe, James & Baisthakur, Shubham & Sarkar, Saptarshi, 2023. "Enhancing the reliability of floating offshore wind turbine towers subjected to misaligned wind-wave loading using tuned mass damper inerters (TMDIs)," Renewable Energy, Elsevier, vol. 211(C), pages 522-538.
    • Handle: RePEc:eee:renene:v:211:y:2023:i:c:p:522-538
    DOI: 10.1016/j.renene.2023.04.097
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    References listed on IDEAS

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    1. Yuan, Chenyang & Chen, Jianyun & Li, Jing & Xu, Qiang, 2017. "Fragility analysis of large-scale wind turbines under the combination of seismic and aerodynamic loads," Renewable Energy, Elsevier, vol. 113(C), pages 1122-1134.
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    4. Zuo, Haoran & Bi, Kaiming & Hao, Hong & Xin, Yu & Li, Jun & Li, Chao, 2020. "Fragility analyses of offshore wind turbines subjected to aerodynamic and sea wave loadings," Renewable Energy, Elsevier, vol. 160(C), pages 1269-1282.
    5. Yulin Si & Hamid Reza Karimi & Huijun Gao, 2013. "Modeling and Parameter Analysis of the OC3-Hywind Floating Wind Turbine with a Tuned Mass Damper in Nacelle," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-10, December.
    6. Renjie Mo & Haigui Kang & Miao Li & Xuanlie Zhao, 2017. "Seismic Fragility Analysis of Monopile Offshore Wind Turbines under Different Operational Conditions," Energies, MDPI, vol. 10(7), pages 1-22, July.
    7. Saptarshi Sarkar & Breiffni Fitzgerald, 2021. "Use of Kane’s Method for Multi-Body Dynamic Modelling and Control of Spar-Type Floating Offshore Wind Turbines," Energies, MDPI, vol. 14(20), pages 1-43, October.
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    Cited by:

    1. Yanfeng Wang & Chenghao Xu & Mengze Yu & Zhicong Huang, 2024. "Lightweight Design of Vibration Control Devices for Offshore Substations Based on Inerters," Sustainability, MDPI, vol. 16(8), pages 1-21, April.
    2. Baisthakur, Shubham & Fitzgerald, Breiffni, 2024. "Physics-Informed Neural Network surrogate model for bypassing Blade Element Momentum theory in wind turbine aerodynamic load estimation," Renewable Energy, Elsevier, vol. 224(C).

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