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Platform and mooring system optimization of a 10 MW semisubmersible offshore wind turbine

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  • Ferri, Giulio
  • Marino, Enzo
  • Bruschi, Niccolò
  • Borri, Claudio

Abstract

In this paper, an optimization procedure is proposed to find platform and mooring system configurations which most effectively reduce the dynamic response of a semisubmersible 10 MW Floating Offshore Wind Turbine (FOWT). This is done by developing an efficient frequency domain simulation model able to account for the viscous drag forces and the contributions to the equation of motion stemming from turbine and mooring lines. The objective function is the value of the Response Amplitude Operator (RAO) at the eigenfrequency of the selected degree of freedom (DoF) of the system. Both parked and power production states are investigated. Feasibility constraints related to mean displacements and moorings layout are considered. Results show that optimized configurations can be found with better performances and smaller platform dimensions with respect to the configuration obtained by scaling up the 5 MW geometry.

Suggested Citation

  • Ferri, Giulio & Marino, Enzo & Bruschi, Niccolò & Borri, Claudio, 2022. "Platform and mooring system optimization of a 10 MW semisubmersible offshore wind turbine," Renewable Energy, Elsevier, vol. 182(C), pages 1152-1170.
  • Handle: RePEc:eee:renene:v:182:y:2022:i:c:p:1152-1170
    DOI: 10.1016/j.renene.2021.10.060
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    References listed on IDEAS

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    1. Liu, Jinsong & Thomas, Edwin & Goyal, Anshul & Manuel, Lance, 2019. "Design loads for a large wind turbine supported by a semi-submersible floating platform," Renewable Energy, Elsevier, vol. 138(C), pages 923-936.
    2. Agota Mockutė & Enzo Marino & Claudio Lugni & Claudio Borri, 2019. "Comparison of Nonlinear Wave-Loading Models on Rigid Cylinders in Regular Waves," Energies, MDPI, vol. 12(21), pages 1-22, October.
    3. Giulio Ferri & Enzo Marino & Claudio Borri, 2020. "Optimal Dimensions of a Semisubmersible Floating Platform for a 10 MW Wind Turbine," Energies, MDPI, vol. 13(12), pages 1-20, June.
    4. Marino, Enzo & Giusti, Alessandro & Manuel, Lance, 2017. "Offshore wind turbine fatigue loads: The influence of alternative wave modeling for different turbulent and mean winds," Renewable Energy, Elsevier, vol. 102(PA), pages 157-169.
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    Cited by:

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    4. Baolong Liu & Jianxing Yu, 2022. "Effect of Mooring Parameters on Dynamic Responses of a Semi-Submersible Floating Offshore Wind Turbine," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    5. Li, Wei & Wang, Shuaishuai & Moan, Torgeir & Gao, Zhen & Gao, Shan, 2024. "Global design methodology for semi-submersible hulls of floating wind turbines," Renewable Energy, Elsevier, vol. 225(C).
    6. Ferri, Giulio & Marino, Enzo, 2023. "Site-specific optimizations of a 10 MW floating offshore wind turbine for the Mediterranean Sea," Renewable Energy, Elsevier, vol. 202(C), pages 921-941.
    7. Liu, Ding Peng & Ferri, Giulio & Heo, Taemin & Marino, Enzo & Manuel, Lance, 2024. "On long-term fatigue damage estimation for a floating offshore wind turbine using a surrogate model," Renewable Energy, Elsevier, vol. 225(C).

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