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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
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URI: https://cronfa.swan.ac.uk/Record/cronfa53109
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spelling 2025-04-16T14:08:45.9894058 v2 53109 2020-01-06 Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing 80bb7f74ef20f2591e97c08202b954ac EMILIO FARAGGIANA EMILIO FARAGGIANA true false 6fa19551092853928cde0e6d5fac48a1 0000-0001-7667-6670 Ian Masters Ian Masters true false 2020-01-06 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. Journal Article Renewable Energy 152 892 909 Elsevier BV 0960-1481 1879-0682 Renewable energy, Wave energy, Tank testing, Wave potential theory, Damping 1 6 2020 2020-06-01 10.1016/j.renene.2019.12.146 COLLEGE NANME COLLEGE CODE Swansea University Not Required 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. 2025-04-16T14:08:45.9894058 2020-01-06T13:15:05.7660703 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering EMILIO FARAGGIANA 1 C. Whitlam 2 J. Chapman 3 A. Hillis 4 J. Roesner 5 M. Hann 6 D. Greaves 7 Y.-H. Yu 8 K. Ruehl 9 Ian Masters 0000-0001-7667-6670 10 G. Foster 11 G. Stockman 12 53109__16199__8ca6ae2c4aba4e3ba1348535961363aa.pdf Faraggiana_RenewEgy2020.pdf 2020-01-06T13:18:06.3094805 Output 3282620 application/pdf Accepted Manuscript true 2021-01-02T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing
spellingShingle Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing
EMILIO FARAGGIANA
Ian Masters
title_short Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing
title_full Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing
title_fullStr Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing
title_full_unstemmed Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing
title_sort Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing
author_id_str_mv 80bb7f74ef20f2591e97c08202b954ac
6fa19551092853928cde0e6d5fac48a1
author_id_fullname_str_mv 80bb7f74ef20f2591e97c08202b954ac_***_EMILIO FARAGGIANA
6fa19551092853928cde0e6d5fac48a1_***_Ian Masters
author EMILIO FARAGGIANA
Ian Masters
author2 EMILIO FARAGGIANA
C. Whitlam
J. Chapman
A. Hillis
J. Roesner
M. Hann
D. Greaves
Y.-H. Yu
K. Ruehl
Ian Masters
G. Foster
G. Stockman
format Journal article
container_title Renewable Energy
container_volume 152
container_start_page 892
publishDate 2020
institution Swansea University
issn 0960-1481
1879-0682
doi_str_mv 10.1016/j.renene.2019.12.146
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering
document_store_str 1
active_str 0
description 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.
published_date 2020-06-01T08:58:47Z
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