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Numerical Prediction of Tower Loading of Floating Offshore Wind Turbine Considering Effects of Wind and Wave

Author

Listed:
  • Atsushi Yamaguchi

    (Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan)

  • Subanapong Danupon

    (Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan)

  • Takeshi Ishihara

    (Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan)

Abstract

For the design of floating offshore wind turbines (FOWT), all the load cases need to be calculated by using a coupled model of wind turbine and platform, while the uncoupled approach will help to reduce the number of simulations for the design and optimization of floating offshore wind turbines. In this study, the effects of the wind and wave actions on the tower loading of a FOWT were investigated and an uncoupled approach for the load calculation was proposed and verified by comparing with the result of coupled simulation. First, the effect of elastic platform was considered by tuning the Young’s modulus of the tower material when rigid platform model was used in the analysis. The effect of wind and wave actions on the loading of the tower was then investigated. It was found that the difference of the wind load between fixed and floating wind turbines is observed only in the mean component and can be predicted by considering the hydrostatic stiffness of the platform and mooring stiffness. The standard deviation of the fore-aft tower moment increased as the significant wave heights increased when the mean wind speeds and peak wave periods were fixed. This is caused by the increase of the inertia force induced by the pitch and surge motions of the platform and the increase of the fluctuating pitch angle. On the other hand, the standard deviation of the fore-aft tower moment decreased as the peak periods increased when the mean wind speeds and significant wave heights were fixed. The increase of the peak period caused the decrease of the pitch and surge accelerations of the platform and results in the decrease of the inertia force. Finally, the tower loading in extreme sea states during power production was carried out by using the proposed uncoupled approach and the results showed good agreement with those by the coupled approach, and the simulation time was reduced to 1/40.

Suggested Citation

  • Atsushi Yamaguchi & Subanapong Danupon & Takeshi Ishihara, 2022. "Numerical Prediction of Tower Loading of Floating Offshore Wind Turbine Considering Effects of Wind and Wave," Energies, MDPI, vol. 15(7), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2313-:d:776903
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    References listed on IDEAS

    as
    1. Vu Dinh, Quang & Doan, Quang-Van & Ngo-Duc, Thanh & Nguyen Dinh, Van & Dinh Duc, Nguyen, 2022. "Offshore wind resource in the context of global climate change over a tropical area," Applied Energy, Elsevier, vol. 308(C).
    2. Dokur, Emrah & Erdogan, Nuh & Salari, Mahdi Ebrahimi & Karakuzu, Cihan & Murphy, Jimmy, 2022. "Offshore wind speed short-term forecasting based on a hybrid method: Swarm decomposition and meta-extreme learning machine," Energy, Elsevier, vol. 248(C).
    3. Ishihara, Takeshi & Zhang, Shining, 2019. "Prediction of dynamic response of semi-submersible floating offshore wind turbine using augmented Morison's equation with frequency dependent hydrodynamic coefficients," Renewable Energy, Elsevier, vol. 131(C), pages 1186-1207.
    4. Atsushi Yamaguchi & Iman Yousefi & Takeshi Ishihara, 2020. "Reduction in the Fluctuating Load on Wind Turbines by Using a Combined Nacelle Acceleration Feedback and Lidar-Based Feedforward Control," Energies, MDPI, vol. 13(17), pages 1-18, September.
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