IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v116y2018ipap133-154.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148117309229
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2017.09.059?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. 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.
    8. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, J.J. & He, E.M., 2020. "Coupled modeling and structural vibration control for floating offshore wind turbine," Renewable Energy, Elsevier, vol. 157(C), pages 678-694.
    2. 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.
    3. 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.
    4. Nikolić, Vlastimir & Sajjadi, Shahin & Petković, Dalibor & Shamshirband, Shahaboddin & Ćojbašić, Žarko & Por, Lip Yee, 2016. "Design and state of art of innovative wind turbine systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 258-265.
    5. Ishihara, Takeshi & Zhang, Shining, 2019. "Prediction of dynamic response of semi-submersible floating offshore wind turbine using augmented Morison's equation with frequency dependent hydrodynamic coefficients," Renewable Energy, Elsevier, vol. 131(C), pages 1186-1207.
    6. Akour, Salih N. & Al-Heymari, Mohammed & Ahmed, Talha & Khalil, Kamel Ali, 2018. "Experimental and theoretical investigation of micro wind turbine for low wind speed regions," Renewable Energy, Elsevier, vol. 116(PA), pages 215-223.
    7. Berenjkoob, Mahdi Nazari & Ghiasi, Mahmoud & Soares, C.Guedes, 2021. "Influence of the shape of a buoy on the efficiency of its dual-motion wave energy conversion," Energy, Elsevier, vol. 214(C).
    8. Martinez, A. & Iglesias, G., 2022. "Mapping of the levelised cost of energy for floating offshore wind in the European Atlantic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    9. Martinez, A. & Murphy, L. & Iglesias, G., 2023. "Evolution of offshore wind resources in Northern Europe under climate change," Energy, Elsevier, vol. 269(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:116:y:2018:i:pa:p:133-154. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.