Testing wave energy converters in the ocean could be expensive and complex, which necessitates the use of numerical modeling. However, accurately modeling the response of wave energy converters with high-fidelity simulations can be computationally intensive in the design stage where different configurations must be considered. Reduced-order models based on simplified equations of motion can be very useful in the design, optimization, or control of wave energy converters. Given the complex dynamics of wave energy converters, accurate representation, and evaluation of relative contributions by different forces are required. This effort is concerned with a performance characterization of the hydrodynamic response of an oscillating surge wave energy converter that is based on a reduced-order model. A state-space model is used to represent the radiation damping term. Morison's representation of unsteady forces is used to account for the nonlinear damping. Wave tank tests are performed to validate simulations. A free response simulation is used to determine the coefficients of the state-space model. Torque-forced simulations are used to identify the coefficients of the nonlinear damping term for different amplitudes and wave frequencies. The impact of varying these coefficients on the response is investigated. An assessment of the capability of the model in predicting the hydrodynamic response under irregular forcing is performed. The results show that the maximum error is 3% when compared with high-fidelity simulations. It is determined that the nonlinear damping is proportional to the torque amplitude and its effects are more pronounced as the amplitude of the flap oscillations increases.
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Univ Santiago de Compostela, Area Ingn Hidrdul, EPSE, Campus Univ S-N, Lugo 27002, SpainUniv Santiago de Compostela, Area Ingn Hidrdul, EPSE, Campus Univ S-N, Lugo 27002, Spain
Lopez, I.
Carballo, R.
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Univ Santiago de Compostela, Area Ingn Hidrdul, EPSE, Campus Univ S-N, Lugo 27002, SpainUniv Santiago de Compostela, Area Ingn Hidrdul, EPSE, Campus Univ S-N, Lugo 27002, Spain
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UCL, Dept Mech Engn, London WC1E 7JE, England
Escuela Super Politecn Litoral, Fac Ingn Maritima & Ciencias Mar, EC-090112 Guayaquil, EcuadorUCL, Dept Mech Engn, London WC1E 7JE, England
Benites-Munoz, Daniela
Huang, Luofeng
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UCL, Dept Mech Engn, London WC1E 7JE, EnglandUCL, Dept Mech Engn, London WC1E 7JE, England
Huang, Luofeng
Anderlini, Enrico
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UCL, Dept Mech Engn, London WC1E 7JE, EnglandUCL, Dept Mech Engn, London WC1E 7JE, England
Anderlini, Enrico
Marin-Lopez, Jose R.
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Escuela Super Politecn Litoral, Fac Ingn Maritima & Ciencias Mar, EC-090112 Guayaquil, EcuadorUCL, Dept Mech Engn, London WC1E 7JE, England
Marin-Lopez, Jose R.
Thomas, Giles
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UCL, Dept Mech Engn, London WC1E 7JE, EnglandUCL, Dept Mech Engn, London WC1E 7JE, England
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School of Mathematics and Statistics, University College Dublin, MaREI CentreSchool of Mathematics and Statistics, University College Dublin, MaREI Centre
Frédéric Dias
Emiliano Renzi
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Department of Mathematical Sciences, Loughborough UniversitySchool of Mathematics and Statistics, University College Dublin, MaREI Centre
Emiliano Renzi
Sarah Gallagher
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Research, Environment and Applications Division
4. Department of Engineering Sciences, University of Oxford
5. Advanced Production EngineeringSchool of Mathematics and Statistics, University College Dublin, MaREI Centre
Sarah Gallagher
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Dripta Sarkar
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Yanji Wei
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Thomas Abadie
Cathal Cummins
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机构:School of Mathematics and Statistics, University College Dublin, MaREI Centre
Cathal Cummins
Ashkan Rafiee
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机构:School of Mathematics and Statistics, University College Dublin, MaREI Centre