Davidson, J., Giorgi, Simone and Ringwood, John (2014) Numerical wave tank identification of nonlinear discrete time hydrodynamic models. Proceedings of the 1st International Conference on Renewable Energies Offshore (Renew 2014).
Preview
JR_numerical wave.pdf
Download (12MB) | Preview
Abstract
Hydrodynamic models are important for the design, simulation and control of wave energy
converters (WECs). Linear hydrodynamic models have formed the basis for this and have been well verified
and validated over operating conditions for which small amplitude assumptions apply. At larger amplitudes a
number of nonlinear effects may appear. One of these effects is due to the changing bouyancy force as the body
moves in and out of the water. In this paper we look at identifying a nonlinear static block to be added the linear
hydrodynamic model to account for this effect. The parameters for this nonlinear block are identified from WEC
experiments simulated in a numerical wave tank (NWT). The parameters for the linear hydrodynamic model are
also identified from NWT experiments. Here we explore the use of a discrete time linear hydrodynamic model
which is well suited to the identification procedure
Item Type: | Article |
---|---|
Keywords: | Numerical Wave Tank; Identification of Nonlinear Discrete Time; Hydrodynamic Models; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research |
Item ID: | 6886 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 20 Jan 2016 11:38 |
Journal or Publication Title: | Proceedings of the 1st International Conference on Renewable Energies Offshore (Renew 2014) |
Publisher: | Renew 2014 |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/6886 |
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