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Design loads for a large wind turbine supported by a semi-submersible floating platform

Author

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  • Liu, Jinsong
  • Thomas, Edwin
  • Goyal, Anshul
  • Manuel, Lance

Abstract

The dynamic response and reliability analysis of a 13.2 MW offshore wind turbine supported by a moored semi-submersible platform is the subject of this study. Loads data for the extreme response analysis involve time-domain simulations for a range of sea states representative of expected site-specific metocean conditions. To gain deeper insight into the dynamic behavior of this system and to obtain long-term loads efficiently and accurately, two studies are carried out sequentially. First, the short-term response of the integrated system is studied based on 1-h simulations for sea states identified using the Environmental Contour method for a 50-year return period. Response extremes for the integrated wind turbine system as well as system sensitivity to metocean conditions are studied. Next, the long-term response associated with the 50-year return period is estimated using statistical extrapolation based on loads derived from the 1-h simulations. Inverse First-Order Reliability Method procedures are employed to seek appropriate response quantile levels, e.g., the median response for 2D Inverse FORM. A more comprehensive 3D approach, which accounts for system response uncertainties, improves long-term response estimates. A proposed adaptive procedure in the 3D approach helps determine the number of simulations needed to guarantee accuracy in the long-term response estimation.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:138:y:2019:i:c:p:923-936
    DOI: 10.1016/j.renene.2019.02.011
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    Citations

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    Cited by:

    1. Javier López-Queija & Eider Robles & Jose Ignacio Llorente & Imanol Touzon & Joseba López-Mendia, 2022. "A Simplified Modeling Approach of Floating Offshore Wind Turbines for Dynamic Simulations," Energies, MDPI, vol. 15(6), pages 1-16, March.
    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. Haselsteiner, Andreas F. & Frieling, Malte & Mackay, Ed & Sander, Aljoscha & Thoben, Klaus-Dieter, 2022. "Long-term extreme response of an offshore turbine: How accurate are contour-based estimates?," Renewable Energy, Elsevier, vol. 181(C), pages 945-965.
    4. Haselsteiner, Andreas F. & Thoben, Klaus-Dieter, 2020. "Predicting wave heights for marine design by prioritizing extreme events in a global model," Renewable Energy, Elsevier, vol. 156(C), pages 1146-1157.
    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.
    6. Han, Chaoshuai & Liu, Kun & Ma, Yongliang & Qin, Peijiang & Zou, Tao, 2021. "Multiaxial fatigue assessment of jacket-supported offshore wind turbines considering multiple random correlated loads," Renewable Energy, Elsevier, vol. 169(C), pages 1252-1264.
    7. Subbulakshmi, A. & Verma, Mohit & Keerthana, M. & Sasmal, Saptarshi & Harikrishna, P. & Kapuria, Santosh, 2022. "Recent advances in experimental and numerical methods for dynamic analysis of floating offshore wind turbines — An integrated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).

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