Guo, B., Patton, R.J., Jin, S. et al. (1 more author) (2018) Numerical and experimental studies of excitation force approximation for wave energy conversion. Renewable Energy, 125. pp. 877-889. ISSN 0960-1481
Abstract
Past or/and future information of the excitation force is useful for real-time power maximisation control of Wave Energy Converter (WEC) systems. Current WEC modelling approaches assume that the wave excitation force is accessible and known. However, it is not directly measurable for oscillating bodies. This study aims to provide accurate approximations of the excitation force for the purpose of enhancing the effectiveness of WEC control. In this work, three approaches are proposed to approximate the excitation force, by (i) identifying the excitation force from wave elevation, (ii) estimating the excitation force from the measurements of pressure, acceleration and displacement, (iii) observing the excitation force via an unknown input observer. These methods are compared with each other to discuss their advantages, drawbacks and application scenarios. To validate and compare the performance of the proposed methods, a 1/50 scale heaving point absorber WEC was tested in a wave tank under variable wave scenarios. The experimental data were in accordance with the excitation force approximations in both the frequency- and time-domains based upon both regular and irregular wave excitation. Although the experimental data were post-processed for model verification, these approaches can be applied for real-time power maximisation control with excitation force prediction.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Elsevier. This is an author produced version of a paper subsequently published in Renewable Energy. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Excitation force modelling; Model verification; Wave energy conversion; System identification; Unknown input observer; Wave tank tests |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Apr 2018 15:25 |
Last Modified: | 14 Mar 2019 01:39 |
Published Version: | https://doi.org/10.1016/j.renene.2018.03.007 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.renene.2018.03.007 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129115 |