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Experimental investigation of advanced turbine control strategies and load-mitigation measures with a model-scale floating offshore wind turbine system

Author

Listed:
  • Wang, Lu
  • Bergua, Roger
  • Robertson, Amy
  • Wright, Alan
  • Zalkind, Daniel
  • Fowler, Matthew
  • Lenfest, Eben
  • Viselli, Anthony
  • Goupee, Andrew
  • Kimball, Richard

Abstract

To advance the control co-design of offshore wind energy systems, the authors perform basin-scale experiments with a fully instrumented and actuated floating offshore wind turbine model. The model consists of a 1:70 scale performance-matched model of the International Energy Agency Wind Technology Collaboration Programme 15-MW reference turbine atop the VolturnUS-S semisubmersible platform. The Reference OpenSource Controller provides real-time blade pitch and generator torque control. We aim to develop an open data set for the validation of numerical models in predicting the influence of turbine control and load-mitigation measures. For this purpose, we measure the effects of advanced turbine control features, including peak shaving and floating feedback as well as hull-based control using tuned mass dampers on the system. Overall, the results demonstrate measurable and consistent influences from the control and load-mitigation measures, thus confirming the usefulness as a validation data set. Peak shaving attenuates the response to wind turbulence at near-rated wind speed. Floating feedback reduces the load and platform pitch motion associated with the negative damping induced by blade pitch control. The tuned mass dampers also attenuate the system response near the targeted frequencies under suitable conditions. We also identify detrimental side effects of each load-mitigation measure.

Suggested Citation

  • Wang, Lu & Bergua, Roger & Robertson, Amy & Wright, Alan & Zalkind, Daniel & Fowler, Matthew & Lenfest, Eben & Viselli, Anthony & Goupee, Andrew & Kimball, Richard, 2024. "Experimental investigation of advanced turbine control strategies and load-mitigation measures with a model-scale floating offshore wind turbine system," Applied Energy, Elsevier, vol. 355(C).
    • Handle: RePEc:eee:appene:v:355:y:2024:i:c:s0306261923017075
    DOI: 10.1016/j.apenergy.2023.122343
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    References listed on IDEAS

    as
    1. Grant, Elenya & Johnson, Kathryn & Damiani, Rick & Phadnis, Mandar & Pao, Lucy, 2023. "Buoyancy can ballast control for increased power generation of a floating offshore wind turbine with a light-weight semi-submersible platform," Applied Energy, Elsevier, vol. 330(PB).
    2. Nicole Mendoza & Amy Robertson & Alan Wright & Jason Jonkman & Lu Wang & Roger Bergua & Tri Ngo & Tuhin Das & Mohammad Odeh & Kazi Mohsin & Francesc Fabregas Flavia & Benjamin Child & Galih Bangga & M, 2022. "Verification and Validation of Model-Scale Turbine Performance and Control Strategies for the IEA Wind 15 MW Reference Wind Turbine," Energies, MDPI, vol. 15(20), pages 1-25, October.
    3. 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.
    4. Lu Wang & Amy Robertson & Jason Jonkman & Jang Kim & Zhi-Rong Shen & Arjen Koop & Adrià Borràs Nadal & Wei Shi & Xinmeng Zeng & Edward Ransley & Scott Brown & Martyn Hann & Pranav Chandramouli & Axell, 2022. "OC6 Phase Ia: CFD Simulations of the Free-Decay Motion of the DeepCwind Semisubmersible," Energies, MDPI, vol. 15(1), pages 1-38, January.
    5. López-Queija, Javier & Robles, Eider & Jugo, Josu & Alonso-Quesada, Santiago, 2022. "Review of control technologies for floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
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