Giorgi, G. and Ringwood, John (2018) Parametric motion detection for an oscillating water column spar buoy. In: Advances in Renewable Energies Offshore. Taylor & Francis, pp. 502-512. ISBN 9781138585355
Preview
JR_parametric motion.pdf
Download (1MB) | Preview
Abstract
Parametric resonance is a highly nonlinear phenomenon, difficult to model and foresee,
with often detrimental consequences on the power production efficiency of wave energy converters. Parametric excitation, due to time-varying parameters of the system, activates an internal excitation mechanism,
which diverts part of the energy from the principal degree of freedom, consequently generating parasitic
motions. Although the ability of a mathematical model to articulate parametric instability is beneficial for
design and control purposes, the increase in computational burden and complexity is often unacceptable.
However, using computationally frugal nonlinear Froude-Krylov force calculations, applicable to axisymmetric devices, it is possible to define mathematical models fast enough for computation in real time. The
focus of the paper is a floating oscillating water column device, inspired by the Sparbuoy device, in order to
demonstrate the ability of such a mathematical model to describe parametric roll responses.
Item Type: | Book Section |
---|---|
Additional Information: | Funding: This paper is based upon work supported by Science Foundation Ireland under Grant No. 13/IA/1886. |
Keywords: | Parametric; motion detection; oscillating water column; spar buoy; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 14298 |
Identification Number: | 10.1201/9780429505324 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 01 Apr 2021 13:34 |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Funders: | Science Foundation Ireland (SFI) |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/14298 |
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 |
Repository Staff Only (login required)
Downloads
Downloads per month over past year