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    A Review of Non-Linear Approaches for Wave Energy Converter Modelling


    Penalba Retes, Markel, Giorgi, Giuseppe and Ringwood, John (2015) A Review of Non-Linear Approaches for Wave Energy Converter Modelling. Proceedings of the 11th European Wave and Tidal Energy Conference. ISSN 2309-1983

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    Abstract

    The wave energy industry has grown considerably over the past two decades, developing many different technologies, but still has not achieved economic viability. Economic performance can be significantly assisted through the optimisation of the device intelligence, implemented as a control algorithm, including precise hydrodynamic models able to reproduce accurately real device motions. Wave energy converters (WECs) are designed to maximize power absorption with large motions, suggesting significant non-linear behaviour, and so precise non-linear models are imperative. Although similar modelling philosophies could be applied to the wide variety of WECs, the dominant physical phenomena vary from one device to another. As a consequence, different non-linear effects should be considered in each system, but only those being relevant should be chosen to avoid extra computational costs and potential numerical problems. This paper studies different nonlinear hydrodynamic effects and their influence on the various types of WECs, and suggests a critical classification of different methods to articulate nonlinear effects.
    Item Type: Article
    Keywords: Wave Energy; Nonlinear Modelling; Computational Fluid Dynamics; Boundary Element Methods; State-Space Models;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 6678
    Depositing User: Professor John Ringwood
    Date Deposited: 16 Dec 2015 09:52
    Journal or Publication Title: Proceedings of the 11th European Wave and Tidal Energy Conference
    Publisher: European Wave and Tidal Energy Conference 2015
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/6678
    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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