1. OC6 Phase I: Investigating the underprediction of low-frequency hydrodynamic loads and responses of a floating wind turbine
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Z Chen, Sebastien Gueydon, Paul Bonnet, Philippe Gilbert, Erin Elizabeth Bachynski, Kelley Ruehl, Christos Galinos, Lu Wang, A Beardsell, S Wohlfahrt-Laymann, F Haudin, F Surmont, Paul Schünemann, M Q Nguyen, Jason Jonkman, Hyunkyoung Shin, Amy Robertson, M Leimeister, Sho Oh, J Gómez, M Féron, Stefan Netzband, Haoran Li, I Mendikoa, Josean Galván, J Le Dreff, E Amet, J Qwist, D Alarcón, Zhiqiang Hu, V Harnois, Antonio Pegalajar-Jurado, Pau Trubat, A Moghtadaei, G Mckinnon, Dominic Forbush, B Boudet, Wei Shi, Frank Lemmer, Yulin Si, C Brun, National Renewable Energy Laboratory (NREL), Maritime Research Institute Netherlands (MARIN), Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU), Universitat Politècnica de Catalunya [Barcelona] (UPC), BUREAU VERITAS Certification FRANCE (VERITAS), BUREAU VERITAS Certification FRANCE, DNV GL, Siemens Digital Industries Software, Ocean College, Zhejiang University, DORIS Engineering, DORIS Engn, Sandia National Laboratories [Albuquerque] (SNL), Sandia National Laboratories - Corporation, DTU Wind Energy, Tecnalia [Derio], IFP Energies nouvelles (IFPEN), Principia [La Ciotat], Vulcain Ingénierie, School of Engineering [Newcastle], Newcastle University [Newcastle], EDF R&D (EDF R&D), EDF (EDF), Fraunhofer Institute for Wind Energy Systems (Fraunhofer IWES), Fraunhofer (Fraunhofer-Gesellschaft), Universität Stuttgart [Stuttgart], Orcina, Queen's University [Belfast] (QUB), Hamburg University of Technology (TUHH), ClassNK, Universität Rostock, Dalian University of Technology, University of Ulsan, and Subsea
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History ,020209 energy ,Hydrodynamic loads ,02 engineering and technology ,7. Clean energy ,01 natural sciences ,010305 fluids & plasmas ,Education ,Offshore oil well production ,0103 physical sciences ,Wind turbines ,0202 electrical engineering, electronic engineering, information engineering ,media_common.cataloged_instance ,European union ,License ,Publication ,Technik [600] ,floating wind turbine ,low-frequency hydrodynamic ,media_common ,Finance ,Offshore winds ,Government ,Wind power ,business.industry ,[SDE.IE]Environmental Sciences/Environmental Engineering ,Non-linear hydrodynamics ,Floating wind turbines ,Load predictions ,Computer Science Applications ,Renewable energy ,Low-frequency load ,Work (electrical) ,Torque ,Wave excitation ,Hydrodynamics ,Business ,Accurate motion ,ddc:600 ,Semisubmersibles ,Efficient energy use - Abstract
Phase I of the OC6 project is focused on examining why offshore wind design tools underpredict the response (loads/motion) of the OC5-DeepCwind semisubmersible at its surge and pitch natural frequencies. Previous investigations showed that the underprediction was primarily related to nonlinear hydrodynamic loading, so two new validation campaigns were performed to separately examine the different hydrodynamic load components. In this paper, we validate a variety of tools against this new test data, focusing on the ability to accurately model the low-frequency loads on a semisubmersible floater when held fixed under wave excitation and when forced to oscillate in the surge direction. However, it is observed that models providing better load predictions in these two scenarios do not necessarily produce a more accurate motion response in a moored configuration. The authors would like to acknowledge the support of the MARINET2 project (European Union’s Horizon 2020 grant agreement 731084), which supplied the tank test time and travel support to accomplish the testing campaign. The support of MARIN in the preparation, execution of the modeltests, and the evaluation of the uncertainties was essential for this study. MARIN’s contribution was partly funded by the Dutch Ministry of Economic Affairs through TKI-ARD funding programs. This work was authored in part by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36- 08GO28308. Funding provided by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Wind Energy Technologies Office. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.
- Published
- 2020
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