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    Parametric modelling of a reconfigurable wave energy device


    Papillon, L. and Wang, L. and Tom, Nathan and Weber, J. and Ringwood, John (2019) Parametric modelling of a reconfigurable wave energy device. Ocean Engineering, 186 (106105). ISSN 0029-8018

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    Abstract

    To date, one of the difficulties with wave energy devices is modulating the power transfer from the waves to the generator. In wind turbines, this is achieved by turbine pitch control, leading to the ubiquitous flat power curve. Recently, a wave energy converter, having moveable vanes, has been developed by the National Renewable Energy Laboratory (NREL) in the US. This paper described the development of a compact hydrodynamic model for the NREL device, based on multiple linear hydrodynamic modelling (Murray-Smith and Johansen, 1997), which can be used to model the hydrodynamic behaviour of the device across its full operational spectrum of vane angles. To show the utility of the model, we demonstrate a flat power curve for the WEC, using the vane angles as a control input.

    Item Type: Article
    Additional Information: Funding: This paper is based on upon work supported by Science Foundation Ireland under Grant No. SFI/13/IA/1886 BU:2600214. Cite as: L. Papillon, L. Wang, N. Tom, J. Weber, J. Ringwood, Parametric modelling of a reconfigurable wave energy device, Ocean Engineering, Volume 186, 2019, 106105, ISSN 0029-8018, https://doi.org/10.1016/j.oceaneng.2019.06.010.
    Keywords: Oscillating surge wave energy converter; Parametric modelling; Geometry control; Power absorption control; Hydrodynamic gain; Wind/wave energy comparison;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Faculty of Science and Engineering > Electronic Engineering
    Item ID: 14296
    Identification Number: https://doi.org/10.1016/j.oceaneng.2019.06.010
    Depositing User: Professor John Ringwood
    Date Deposited: 01 Apr 2021 13:26
    Journal or Publication Title: Ocean Engineering
    Publisher: Elsevier
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    URI:

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