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    Nonlinear Froude-Krylov and viscous drag representations for wave energy converters in the computation/fidelity continuum


    Giorgi, Giuseppe and Ringwood, John (2017) Nonlinear Froude-Krylov and viscous drag representations for wave energy converters in the computation/fidelity continuum. Ocean Engineering, 141. pp. 164-175. ISSN 0029-8018

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    Abstract

    Designing, optimizing and controlling a wave energy converter requires the construction of a mathematical model in order to simulate the behaviour of the device. Given the nonlinear nature of fluid-structure interactions, the definition of the model is not straightforward and should take into account the specific application it is intended for. Two of the most important characteristics of a model are the computational time and the expected accuracy, which usually are mutually conflicting. The inclusion of nonlinearities potentially increases the model accuracy, but at a higher computational price. Considering a heaving wave energy converter with and without the application of latching control, this paper studies and compares nine different modelling options, eight of which are based on potential theory and consider nonlinear Froude-Krylov and viscous drag forces, while one is based on fully-nonlinear computational fluid dynamics. The value of including nonlinearities in the hydrodynamic model is discussed in relation to the computational cost of the eventual accuracy benefits, under a range of scenarios.
    Item Type: Article
    Keywords: Nonlinear hydrodynamic modelling; Nonlinear Froude-Krylov force; Viscous drag; Computational fluid dynamics; Fidelity; Computational time;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 11773
    Identification Number: 10.1016/j.oceaneng.2017.06.030
    Depositing User: Professor John Ringwood
    Date Deposited: 20 Nov 2019 17:25
    Journal or Publication Title: Ocean Engineering
    Publisher: Elsevier
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/11773
    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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