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    Validation of a CFD-based numerical wave tank model for the power production assessment of the wavestar ocean wave energy converter


    Windt, Christian and Davidson, Josh and Ransley, Edward J. and Greaves, Deborah and Jakobsen, Morten and Kramer, Morten and Ringwood, John V. (2020) Validation of a CFD-based numerical wave tank model for the power production assessment of the wavestar ocean wave energy converter. Renewable Energy, 146. pp. 2499-2516. ISSN 0960-1481

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    Abstract

    CFD-based numerical wave tank (CNWT) models, are a useful tool for the analysis of wave energy converters (WECs). During the development of a CNWT, model validation is vital, to prove the accuracy of the numerical solution. This paper presents an extensive validation study of a CNWT model for the 1:5 scale Wavestar point-absorber device. The previous studies reported by Ransley et al. [1] and Windt et al. [2] are extended in this paper, by including cases in which the power-take off (PTO) system is included in the model. In this study, the PTO is represented as a linear spring-damper system, providing a good approximation to the full PTO dynamics. The spring stiffness and damping coefficients in the numerical PTO model are determined through a linear least squares fit of the experimental PTO position, velocity and force data. The numerical results for free surface elevation, PTO data (position, velocity, force), generated power and pressure on the WEC hull are shown to compare well with the experimental measurements

    Item Type: Article
    Additional Information: Cite as: Christian Windt, Josh Davidson, Edward J. Ransley, Deborah Greaves, Morten Jakobsen, Morten Kramer, John V. Ringwood, Validation of a CFD-based numerical wave tank model for the power production assessment of the wavestar ocean wave energy converter, Renewable Energy,Volume 146, 2020, Pages 2499-2516, ISSN 0960-1481, https://doi.org/10.1016/j.renene.2019.08.059.
    Keywords: Numerical wave tank; Validation; Wavestar; OpenFOAM; RANS;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 15966
    Identification Number: https://doi.org/10.1016/j.renene.2019.08.059
    Depositing User: Professor John Ringwood
    Date Deposited: 17 May 2022 10:31
    Journal or Publication Title: Renewable Energy
    Publisher: Science Direct
    Refereed: Yes
    URI:

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