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Slow-drift of a floating wind turbine: An assessment of frequency-domain methods based on model tests

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  • Simos, Alexandre N.
  • Ruggeri, Felipe
  • Watai, Rafael A.
  • Souto-Iglesias, Antonio
  • Lopez-Pavon, Carlos

Abstract

The second-order hydrodynamics of a semisubmersible offshore wind turbine is investigated in this paper by analyzing and proposing a set of different options for estimating the slow-drift motions during its design. A case study consisting of a three-floater semisubmersible designed to support a 1.5Mw turbine is considered. An experimental campaign focused on characterizing second-order surge response was carried out and its most salient results are documented in the paper. The campaign was conducted in two different facilities and comprised decay tests, regular, bichromatic and irregular waves. Wind has not been considered in this phase of the research. Numerical modeling with frequency domain solver WAMIT has been carried out. Due to location depth and mooring length restrictions, the natural periods of horizontal excursions are smaller than those of well studied DeepCwind platform. This may change the importance of the different second-order components, something investigated in present research by comparing simplified and full Quadratic Transfer Functions (QTF) computations. Results obtained with experiments and simulations are compared, focusing on the mean and slow-drift motions and forces. It is shown that the Newman approximation underestimates the second-order response in some cases while the white noise model retains the main physics involved, a novel result which may change the paradigm for mooring design of these artifacts in the near future.

Suggested Citation

  • Simos, Alexandre N. & Ruggeri, Felipe & Watai, Rafael A. & Souto-Iglesias, Antonio & Lopez-Pavon, Carlos, 2018. "Slow-drift of a floating wind turbine: An assessment of frequency-domain methods based on model tests," Renewable Energy, Elsevier, vol. 116(PA), pages 133-154.
    • Handle: RePEc:eee:renene:v:116:y:2018:i:pa:p:133-154
    DOI: 10.1016/j.renene.2017.09.059
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    References listed on IDEAS

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    1. Lopez-Pavon, Carlos & Souto-Iglesias, Antonio, 2015. "Hydrodynamic coefficients and pressure loads on heave plates for semi-submersible floating offshore wind turbines: A comparative analysis using large scale models," Renewable Energy, Elsevier, vol. 81(C), pages 864-881.
    2. Gutierrez, José E. & Zamora, Blas & García, Julio & Peyrau, María R., 2013. "Tool development based on FAST for performing design optimization of offshore wind turbines: FASTLognoter," Renewable Energy, Elsevier, vol. 55(C), pages 69-78.
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    Cited by:

    1. Zeng, Xinmeng & Shao, Yanlin & Feng, Xingya & Xu, Kun & Jin, Ruijia & Li, Huajun, 2024. "Nonlinear hydrodynamics of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    2. Conghuan Le & Yane Li & Hongyan Ding, 2019. "Study on the Coupled Dynamic Responses of a Submerged Floating Wind Turbine under Different Mooring Conditions," Energies, MDPI, vol. 12(3), pages 1-21, January.
    3. Meng, Haoran & Su, Hao & Guo, Jia & Qu, Timing & Lei, Liping, 2022. "Experimental investigation on the power and thrust characteristics of a wind turbine model subjected to surge and sway motions," Renewable Energy, Elsevier, vol. 181(C), pages 1325-1337.
    4. Wang, Lu & Robertson, Amy & Jonkman, Jason & Yu, Yi-Hsiang, 2022. "OC6 phase I: Improvements to the OpenFAST predictions of nonlinear, low-frequency responses of a floating offshore wind turbine platform," Renewable Energy, Elsevier, vol. 187(C), pages 282-301.
    5. Pang, Yanhua & He, Qun & Jiang, Guoqian & Xie, Ping, 2020. "Spatio-temporal fusion neural network for multi-class fault diagnosis of wind turbines based on SCADA data," Renewable Energy, Elsevier, vol. 161(C), pages 510-524.
    6. Lu Wang & Amy Robertson & Jason Jonkman & Yi-Hsiang Yu, 2020. "Uncertainty Assessment of CFD Investigation of the Nonlinear Difference-Frequency Wave Loads on a Semisubmersible FOWT Platform," Sustainability, MDPI, vol. 13(1), pages 1-25, December.
    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).
    8. Amy Robertson & Lu Wang, 2021. "OC6 Phase Ib: Floating Wind Component Experiment for Difference-Frequency Hydrodynamic Load Validation," Energies, MDPI, vol. 14(19), pages 1-26, October.

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