Windt, Christian and Faedo, Nicolás and Penalba, Markel and Ringwood, John (2019) Assessment of the Evaluation Framework for Energy Maximising Control Systems for the Wavestar Wave Energy Converter. In: 2019 American Control Conference (ACC). IEEE, pp. 4791-4796. ISBN 9781538679265

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Abstract

During the design process and evaluation of energy maximising control systems (EMCSs) for wave energy converters (WECs), control techniques rely heavily on numerical modelling. For fast computation, these numerical models are mostly based on low-fidelity boundary element method (BEM) codes and linear hydrodynamic models. However, to ensure optimal performance in a physical environment, more realistic, high-fidelity numerical frameworks, such as Computational Fluid Dynamics (CFD) based numerical wave tanks (CNWTs), should be considered during the evaluation of EMCSs. This paper investigates the influence of different numerical evaluation frameworks on the performance evaluation of EMCSs. The Wavestar WEC, subject to three different EMCSs with varying aggressiveness, i.e. resistive, reactive and moment-based control, is chosen as the case study. Results show that more aggressive EMCSs require high-fidelity numerical modelling to correctly evaluate their performance.

Item Type:	Book Section
Additional Information:	Funding: This paper is based upon work supported by Science Foundation Ireland under Grant No. 13/IA/1886. Cite as: C. Windt, N. Faedo, M. Penalba and J. V. Ringwood, "Assessment of the Evaluation Framework for Energy Maximising Control Systems for the Wavestar Wave Energy Converter," 2019 American Control Conference (ACC), Philadelphia, PA, USA, 2019, pp. 4791-4796, doi: 10.23919/ACC.2019.8814713.
Keywords:	Assessment; Evaluation; Framework; Energy Maximising Control Systems; Wavestar; Wave Energy Converter;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research Faculty of Science and Engineering > Electronic Engineering
Item ID:	14283
Identification Number:	https://doi.org/10.23919/ACC.2019.8814713
Depositing User:	Professor John Ringwood
Date Deposited:	30 Mar 2021 13:24
Publisher:	IEEE
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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