Jaramillo-Lopez, Fernando and Flannery, Brian and 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
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:	https://doi.org/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)
URI:	Publisher
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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