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Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing

EMILIO FARAGGIANA, C. Whitlam, J. Chapman, A. Hillis, J. Roesner, M. Hann, D. Greaves, Y.-H. Yu, K. Ruehl, Ian Masters Orcid Logo, G. Foster, G. Stockman

Renewable Energy, Volume: 152, Pages: 892 - 909

Swansea University Authors: EMILIO FARAGGIANA, Ian Masters Orcid Logo

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Abstract

A submerged wave device generates energy from the relative motion of floating bodies. In 1 WaveSub, three floats are joined to a reactor; each connected to a spring and generator. Electricity generated 2 damps the orbital movements of the floats. The forces are non-linear and each float interacts wi...

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Published in: Renewable Energy
ISSN: 0960-1481 1879-0682
Published: Elsevier BV 2020
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa53109
Abstract: A submerged wave device generates energy from the relative motion of floating bodies. In 1 WaveSub, three floats are joined to a reactor; each connected to a spring and generator. Electricity generated 2 damps the orbital movements of the floats. The forces are non-linear and each float interacts with the others. 3 Tuning to the wave climate is achieved by changing the line lengths so there is a need to understand the 4 performance trade-offs for a large number of configurations. This requires an efficient, large displacement, 5 multidirectional, multi-body numerical scheme. Results from a 1/25 scale wave basin experiment are described. 6 Here we show that a time domain linear potential flow formulation (Nemoh, WEC-Sim) can match the tank 7 testing provided that suitably tuned drag coefficients are employed. Inviscid linear potential models can match 8 some wave device experiments, however, additional viscous terms generally provide better accuracy. Scale 9 experiments are also prone to mechanical friction and we estimate friction terms to improve the correlation 10 further. The resulting error in mean power between numerical and physical models is approximately 10%. 11 Predicted device movement shows a good match. Overall, drag terms in time domain wave energy modelling 12 will improve simulation accuracy in wave renewable energy device design.
Keywords: Renewable energy, Wave energy, Tank testing, Wave potential theory, Damping
College: Faculty of Science and Engineering
Funders: Ian Masters acknowledges support from EPSRC through the United Kingdom Centre for Marine Energy Research (EP/P008682/1). This research is also supported by the Knowledge Economy Skills Scholarships (KESS 2). It is a pan-Wales higher level skills initiative led by Bangor University on behalf of the HE sector in Wales. It is partially funded by the Welsh Government’s European Social Fund (ESF) (PHFE1ME) convergence programme for West Wales and the Valleys. Design, manufacture and testing of the 1/25th WaveSub model was part of ‘The Multi Float WaveSub Wave Energy Convertor (WEC)’ project, supported by Innovate UK under the Energy Catalyst Round 3 Early Stage competition (132392). This work was authored, in part, by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36- 08GO28308, and Sandia National Laboratories, managed and operated by NTESS under DOE NNSA contract DE-NA0003525. Funding provided by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Water Power Technologies Office.
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