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    Mathematical modelling of wave energy converters: A review of nonlinear approaches


    Penalba, Markel and Giorgi, Giuseppe and Ringwood, John (2017) Mathematical modelling of wave energy converters: A review of nonlinear approaches. Renewable and Sustainable Energy Reviews, 78. pp. 1188-1207. ISSN 1364-0321

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    Abstract

    The wave energy sector has made and is still doing a great effort in order to open up a niche in the energy market, working on several and diverse concepts and making advances in all aspects towards more efficient technologies. However, economic viability has not been achieved yet, for which maximisation of power production over the full range of sea conditions is crucial. Precise mathematical models are essential to accurately reproduce the behaviour, including nonlinear dynamics, and understand the performance of wave energy converters. Therefore, nonlinear models must be considered, which are required for power absorption assessment, simulation of devices motion and model-based control systems. Main sources of nonlinear dynamics within the entire chain of a wave energy converter - incoming wave trains, wave-structure interaction, power take-off systems or mooring lines- are identified, with especial attention to the wave-device hydrodynamic interaction, and their influence is studied in the present paper for different types of converters. In addition, different approaches to model nonlinear wave-device interaction are presented, highlighting their advantages and drawbacks. Besides the traditional Navier-Stokes equations or potential flow methods, 'new' methods such as system-identification models, smoothed particle hydrodynamics or nonlinear potential flow methods are analysed.

    Item Type: Article
    Keywords: Wave energy; Nonlinear incident waves; Nonlinear power-take-off; Computational fluid dynamics; Boundary element methods;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 12453
    Identification Number: https://doi.org/10.1016/j.rser.2016.11.137
    Depositing User: Professor John Ringwood
    Date Deposited: 12 Feb 2020 15:16
    Journal or Publication Title: Renewable and Sustainable Energy Reviews
    Publisher: Elsevier
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    URI:

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