LAPSE:2023.27787
Published Article
LAPSE:2023.27787
Wave Energy Extraction by Flexible Floaters
Simone Michele, Federica Buriani, Emiliano Renzi, Marijn van Rooij, Bayu Jayawardhana, Antonis I. Vakis
April 11, 2023
Abstract
We present a novel mathematical model to investigate the extraction of wave power by flexible floaters. The model is based on the method of dry modes, coupled with a matched eigenfunction expansion. Our model results compare satisfactorily with preliminary data obtained from a demonstrator device, developed at the University of Groningen. We show that the role of elasticity is to increase the number of resonant frequencies with respect to a rigid body, which has a positive effect on wave power output. The mathematical model is then extended to irregular incident waves, described by a JONSWAP spectrum. Our results show that the peak capture factors decrease in irregular waves, as compared to the monochromatic case. However, the system becomes more efficient at non-resonant frequencies. This work highlights the need to scale-up experimental investigations on flexible wave energy converters, which are still a small minority, compared to those on rigid converters.
Keywords
floating elastic plate, fluid–structure interaction, Wave Energy
Suggested Citation
Michele S, Buriani F, Renzi E, van Rooij M, Jayawardhana B, Vakis AI. Wave Energy Extraction by Flexible Floaters. (2023). LAPSE:2023.27787
Author Affiliations
Michele S: Department of Mathematical Sciences, Loughborough University, Loughborough LE11 3TU, UK; School of Engineering, Computing and Mathematics, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK [ORCID]
Buriani F: Department of Mathematical Sciences, Loughborough University, Loughborough LE11 3TU, UK; School of Engineering, Computing and Mathematics, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK
Renzi E: Department of Mathematical Sciences, Loughborough University, Loughborough LE11 3TU, UK [ORCID]
van Rooij M: Ocean Grazer, Zernikepark 12, 9747 AN Groningen, The Netherlands
Jayawardhana B: Discrete Technology and Production Automation, Engineering and Technology Institute Groningen, Faculty of Science & Engineering, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands
Vakis AI: Computational Mechanical and Materials Engineering, Engineering and Technology Institute Groningen, Faculty of Science & Engineering, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands [ORCID]
Journal Name
Energies
Volume
13
Issue
23
Article Number
E6167
Year
2020
Publication Date
2020-11-24
ISSN
1996-1073
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Original Submission
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PII: en13236167, Publication Type: Journal Article
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LAPSE:2023.27787
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https://doi.org/10.3390/en13236167
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