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Optimal Dimensions of a Semisubmersible Floating Platform for a 10 MW Wind Turbine

Author

Listed:
  • Giulio Ferri

    (Department of Civil and Environmental Engineering, University of Florence, Via di S. Marta 3, 50139 Firenze, Italy)

  • Enzo Marino

    (Department of Civil and Environmental Engineering, University of Florence, Via di S. Marta 3, 50139 Firenze, Italy)

  • Claudio Borri

    (Department of Civil and Environmental Engineering, University of Florence, Via di S. Marta 3, 50139 Firenze, Italy)

Abstract

In this paper, an optimal semisubmersible platform is sought considering two key geometry variables: the diameter of the outer cylinders and their radial distance from the platform centre. The goal is to identify a platform configuration able to most efficiently contrast the combined wind-wave action, keeping the platform dimensions as small as possible. The amplitude of the Response Amplitude Operator (RAO) peaks and the integral area of the RAOs in a range of excited frequencies for the selected degrees of freedom are chosen as targets to be minimised. Through an efficient frequency domain simulation approach, we show that upscaling techniques proposed in the literature may lead to overdesigned platforms and that smaller and more performing platforms can be identified. In particular, the optimised platform shows a reduction of about 51% in parked and 54% in power production of the heave RAO peak, and a reduction of about 37% in parked and 50% in power production of the pitch RAO.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3092-:d:371878
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    References listed on IDEAS

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    1. 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.
    2. Tomasicchio, Giuseppe Roberto & D'Alessandro, Felice & Avossa, Alberto Maria & Riefolo, Luigia & Musci, Elena & Ricciardelli, Francesco & Vicinanza, Diego, 2018. "Experimental modelling of the dynamic behaviour of a spar buoy wind turbine," Renewable Energy, Elsevier, vol. 127(C), pages 412-432.
    3. Jeon, Minu & Lee, Seungmin & Lee, Soogab, 2014. "Unsteady aerodynamics of offshore floating wind turbines in platform pitching motion using vortex lattice method," Renewable Energy, Elsevier, vol. 65(C), pages 207-212.
    4. 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.
    5. Fang, Yuan & Duan, Lei & Han, Zhaolong & Zhao, Yongsheng & Yang, He, 2020. "Numerical analysis of aerodynamic performance of a floating offshore wind turbine under pitch motion," Energy, Elsevier, vol. 192(C).
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    Citations

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    Cited by:

    1. Papi, F. & Bianchini, A., 2022. "Technical challenges in floating offshore wind turbine upscaling: A critical analysis based on the NREL 5 MW and IEA 15 MW Reference Turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    2. 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.
    3. Weimin Chen & Shuangxi Guo & Yilun Li & Yijun Shen, 2021. "Impacts of Mooring-Lines Hysteresis on Dynamic Response of Spar Floating Wind Turbine," Energies, MDPI, vol. 14(8), pages 1-13, April.
    4. Niccolo Bruschi & Giulio Ferri & Enzo Marino & Claudio Borri, 2020. "Influence of Clumps-Weighted Moorings on a Spar Buoy Offshore Wind Turbine," Energies, MDPI, vol. 13(23), pages 1-14, December.
    5. 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.

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