LAPSE:2018.0614
Published Article
LAPSE:2018.0614
A Novel Method for Estimating Wave Energy Converter Performance in Variable Bathymetry Regions and Applications
Kostas Belibassakis, Markos Bonovas, Eugen Rusu
September 21, 2018
A numerical model is presented for the estimation of Wave Energy Converter (WEC) performance in variable bathymetry regions, taking into account the interaction of the floating units with the bottom topography. The proposed method is based on a coupled-mode model for the propagation of the water waves over the general bottom topography, in combination with a Boundary Element Method for the treatment of the diffraction/radiation problems and the evaluation of the flow details on the local scale of the energy absorbers. An important feature of the present method is that it is free of mild bottom slope assumptions and restrictions and it is able to resolve the 3D wave field all over the water column, in variable bathymetry regions including the interactions of floating bodies of general shape. Numerical results are presented concerning the wave field and the power output of a single device in inhomogeneous environment, focusing on the effect of the shape of the floater. Extensions of the method to treat the WEC arrays in variable bathymetry regions are also presented and discussed.
Keywords
arrays, marine environment, Renewable Energy, variable bathymetry effects, wave energy converters
Suggested Citation
Belibassakis K, Bonovas M, Rusu E. A Novel Method for Estimating Wave Energy Converter Performance in Variable Bathymetry Regions and Applications. (2018). LAPSE:2018.0614
Author Affiliations
Belibassakis K: School of Naval Architecture & Marine Engineering, National Technical University of Athens, 15780 Athens, Greece
Bonovas M: School of Naval Architecture & Marine Engineering, National Technical University of Athens, 15780 Athens, Greece
Rusu E: Department of Mechanical Engineering, University Dunarea de Jos of Galati, 800008 Galati, Romania [ORCID]
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Journal Name
Energies
Volume
11
Issue
8
Article Number
E2092
Year
2018
Publication Date
2018-08-11
Published Version
ISSN
1996-1073
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Original Submission
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PII: en11082092, Publication Type: Journal Article
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LAPSE:2018.0614
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doi:10.3390/en11082092
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Sep 21, 2018
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CC BY 4.0
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Sep 21, 2018
 
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Original Submitter
Calvin Tsay
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