Jaramillo-Lopez, Fernando, Flannery, Brian, Murphy, Jimmy and Ringwood, John (2020) Modelling of a Three-Body Hinge-Barge Wave Energy Device Using System Identification Techniques. Energies, 11 (4). pp. 2713-2721. ISSN 1996-1073
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Abstract
In order to increase the prevalence of wave energy converters (WECs), they must provide
energy at competitive prices, especially when compared with other renewable energy sources.
Thus, it is imperative to develop control system technologies that are able to maximize energy
extraction from waves, such that the delivered energy cost is reduced. An important part of a
model-based controller is the model that it uses. System identification techniques (SITs) provide
methodologies to get accurate dynamic models from input-output data. However, even though these
techniques are well developed in other application areas, they are seldom used in the context of
WECs. This paper proposes several strategies based on SIT to get a linear time-invariant model for a
three-body hinge-barge wave energy device using experimental data. The main advantage of the
model obtained with this methodology, against other methods such as linear potential theory, is that
this model remains valid even for relatively large waves and WEC displacements. Other advantages of
this model are its simplicity and the low computational resources that it needs. Numerical simulations
are carried out to show the validation of the obtained model against recorded experimental data.
Item Type: | Article |
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Additional Information: | Funding: This paper is based upon work supported by Science Foundation Ireland under Grant no. 13/IA/1886. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Cite as: Jaramillo-Lopez, F.; Flannery, B.; Murphy, J.; Ringwood, J.V. Modelling of a Three-Body Hinge-Barge Wave Energy Device Using System Identification Techniques. Energies 2020, 13, 5129. https://doi.org/10.3390/en13195129 |
Keywords: | wave energy converters; system identification; wave energy; renewable energy; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research |
Item ID: | 14337 |
Identification Number: | 10.3390/en13195129 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 14 Apr 2021 15:33 |
Journal or Publication Title: | Energies |
Publisher: | MDPI AG |
Refereed: | Yes |
Funders: | Science Foundation Ireland (SFI) |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/14337 |
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 |
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