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Numerical and Experimental Study of the Solo Duck Wave Energy Converter
Southeast Univ, Sch Mech Engn, Nanjing 211189, Jiangsu, Peoples R China.
Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen 518055, Guangdong, Peoples R China.
Southeast Univ, Sch Mech Engn, Nanjing 211189, Jiangsu, Peoples R China.
Southeast Univ, Sch Mech Engn, Nanjing 211189, Jiangsu, Peoples R China.
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2019 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 12, no 10, article id 1941Article in journal (Refereed) Published
Abstract [en]

The Edinburgh Duck is one of the highly-efficient wave energy converters (WECs). Compared to the spine-connected Duck configuration, the solo Duck will be able to use the point absorber effect to enhance its power capture performance. In this paper, a 3D computational fluid dynamic (CFD) model is developed to predict the hydrodynamic performance of the solo Duck WEC in regular waveswithin a wide range ofwave steepness until the Duck capsizes. A set of experiments was designed to validate the accuracy of the CFD model. Boundary element method (BEM) simulations are also performed for comparison. CFD results agree well with experimental results and the main difference comes from the friction in the mechanical transmission system. CFD results also agree well with BEM results and differences appear at large wave steepness as a result of two hydrodynamic nonlinear factors: the nonlinear waveform and the vortex generation process. The influence of both two nonlinear factors iscombined to be quantitatively represented by the drag torque coefficient.The vortex generation process is found to cause a rapid drop of the pressure force due to the vortexes taking away the kinetic energy from the fluid.

Place, publisher, year, edition, pages
MDPI , 2019. Vol. 12, no 10, article id 1941
Keywords [en]
solo Duck, computational fluid dynamic, wave steepness, experiment, hydrodynamic nonlinearity
National Category
Marine Engineering
Identifiers
URN: urn:nbn:se:uu:diva-390041DOI: 10.3390/en12101941ISI: 000471016700120OAI: oai:DiVA.org:uu-390041DiVA, id: diva2:1340386
Funder
Swedish Research Council, 2015-04657Available from: 2019-08-05 Created: 2019-08-05 Last updated: 2019-08-05Bibliographically approved

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