Maximise absorbed wave power with wave energy converter arrays in time domain

KARA, Fuat (2019). Maximise absorbed wave power with wave energy converter arrays in time domain. In: International Offshore and Polar Engineering Conference (ISOPE),, Honolulu, USA, 16-21 Jun 2019. ISOPE. (Unpublished)

[img]
Preview
PDF
ISOPE - 2019.pdf - Submitted Version
All rights reserved.

Download (2MB) | Preview
Related URLs:

    Abstract

    A three-dimensional transient numerical code ITU-WAVE based on potential theory and NeumannKelvin approximation is extended to take into account wave interaction in an array system using two and four truncated vertical cylinder arrays. ITU-WAVE panel code is validated against analytical results before applied to power absorption from ocean waves for different array configurations. The effects of the separation distances between array system and heading angles on energy absorption in both sway and heave modes are studied by the support of numerical simulations which show more power absorbed in sway mode than in heave mode and sway mode has wider bandwidth than heave mode for energy absorption. It is also shown wave interactions are stronger when the array systems are close and these wave interactions are reduced significantly and shifted to larger times when the separation distance is increased. The wave interaction is much stronger at the same separation distance and heading angle in heave mode than in sway mode. Numerical experience shows that more power is absorbed in sway mode than heave mode in both two and four array systems at any separation distances and heading angles when the bodies in array system have the same displacement in both sway and heave modes

    Item Type: Conference or Workshop Item (Paper)
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 11 May 2020 15:29
    Last Modified: 11 May 2020 15:29
    URI: http://shura.shu.ac.uk/id/eprint/26281

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics