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OC6 phase I: Improvements to the OpenFAST predictions of nonlinear, low-frequency responses of a floating offshore wind turbine platform

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  • Wang, Lu
  • Robertson, Amy
  • Jonkman, Jason
  • Yu, Yi-Hsiang

Abstract

In the OC5 and OC62 projects, the authors observed a persistent underprediction of the nonlinear, low-frequency responses of an offshore wind semisubmersible with many mid-fidelity engineering models, including the OpenFAST tool developed by the National Renewable Energy Laboratory. Both the low-frequency wave excitation in surge and pitch and the resulting resonance motions were severely underpredicted. In response, we developed several modifications to the OpenFAST model from the OC5/6 projects to improve the predictions of the low-frequency wave loads and responses. All modifications are in the modeling of the viscous drag forces. Efforts were made to provide physical justifications to the changes and to limit the number of additional parameters requiring tuning, so that the modified model can be applied to other floating wind systems. With the proposed modifications, the predictions of the low-frequency surge and pitch wave loads on a fixed floater and the resonance responses of a floating structure are both significantly improved with a single set of model coefficients, which leads to good agreement with the measurements from the OC6 wave-basin experimental campaign.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:187:y:2022:i:c:p:282-301
    DOI: 10.1016/j.renene.2022.01.053
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    References listed on IDEAS

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    1. 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.
    2. Son, Daewoong & Belissen, Valentin & Yeung, Ronald W., 2016. "Performance validation and optimization of a dual coaxial-cylinder ocean-wave energy extractor," Renewable Energy, Elsevier, vol. 92(C), pages 192-201.
    3. Li, Haoran & Bachynski, Erin E., 2021. "Experimental and numerical investigation of nonlinear diffraction wave loads on a semi-submersible wind turbine," Renewable Energy, Elsevier, vol. 171(C), pages 709-727.
    4. 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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    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. Patryniak, Katarzyna & Collu, Maurizio & Coraddu, Andrea, 2023. "Rigid body dynamic response of a floating offshore wind turbine to waves: Identification of the instantaneous centre of rotation through analytical and numerical analyses," Renewable Energy, Elsevier, vol. 218(C).
    3. Wang, Xinbao & Cai, Chang & Chen, Yewen & Chen, Yuejuan & Liu, Junbo & Xiao, Yang & Zhong, Xiaohui & Shi, Kezhong & Li, Qing'an, 2023. "Numerical verification of the dynamic aerodynamic similarity criterion for wind tunnel experiments of floating offshore wind turbines," Energy, Elsevier, vol. 283(C).

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