Davidson, Josh, Giorgi, Simone and Ringwood, John (2015) Linear parametric hydrodynamic models for ocean wave energy converters identified from numerical wave tank experiments. Ocean Engineering, 103. pp. 31-39. ISSN 0029-8018
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Abstract
Mathematical modelling of wave energy devices has many uses, including power production assessment, simulation of device motion and as a basis for model-based control design. Apart from computationally heavy approaches, such as those based on computational fluid dynamics (CFD) and smooth particle hydrodynamics (SPH), the vast majority of models employed in the simulation and analysis of wave energy converters (WECs) are based on boundary-element methods (BEMs). While BEM models have been shown to be useful, they have the inherent limitation that they are linearised around the still water level, with validity only on the immediate vicinity of this equilibrium point. In this paper, we develop a new modelling methodology, which combines the fidelity of CFD models with the computational attractiveness of BEM-type models. This flexible methodology can give representative linear models, or be extended into the nonlinear domain, as desired.
Item Type: | Article |
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Additional Information: | This project is funded by Enterprise Ireland and is co-funded by the Irish Government and the European Union under Ireland's EU Structural Funds Programme 2007–2013 under Grant EI/CF/2011/1320. |
Keywords: | Hydrodynamic modelling; Wave energy converters; Computational fluid dynamics; System identification; Optimisation; Linearisation; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research |
Item ID: | 9437 |
Identification Number: | 10.1016/j.oceaneng.2015.04.056 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 01 May 2018 15:47 |
Journal or Publication Title: | Ocean Engineering |
Publisher: | Elsevier |
Refereed: | Yes |
Funders: | Enterprise Ireland (EI), European Union Structural Funds Programme |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/9437 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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