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

E. 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 Author: 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
Published: Elsevier BV 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa53109
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spelling 2021-09-09T09:51:44.6261213 v2 53109 2020-01-06 Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing 6fa19551092853928cde0e6d5fac48a1 0000-0001-7667-6670 Ian Masters Ian Masters true false 2020-01-06 MECH 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 Renewable energy, Wave energy, Tank testing, Wave potential theory, Damping 2 1 2020 2020-01-02 10.1016/j.renene.2019.12.146 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University EPSRC (EP/P008682/1), Knowledge Economy Skills Scholarships (KESS 2) European Social Fund (ESF), Innovate UK Energy Catalyst Round 3 Early Stage competition (132392), U.S. Department of Energy (DOE) under Contract No. DE-AC36- 08GO28308 and DE-NA0003525, 2021-09-09T09:51:44.6261213 2020-01-06T13:15:05.7660703 Professional Services ISS - Uncategorised E. 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
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 6fa19551092853928cde0e6d5fac48a1
author_id_fullname_str_mv 6fa19551092853928cde0e6d5fac48a1_***_Ian Masters
author Ian Masters
author2 E. 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
doi_str_mv 10.1016/j.renene.2019.12.146
publisher Elsevier BV
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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 2020-01-02T04:05:55Z
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