Journal article 712 views 253 downloads
Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing
,
G. Foster,
G. Stockman
Renewable Energy, Volume: 152, Pages: 892 - 909
Swansea University Author:
Ian Masters
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PDF | Accepted Manuscript
Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND).
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DOI (Published version): 10.1016/j.renene.2019.12.146
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...
| Published in: | Renewable Energy |
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| ISSN: | 0960-1481 |
| Published: |
Elsevier BV
2020
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa53109 |
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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 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. |
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| Keywords: |
Renewable energy, Wave energy, Tank testing, Wave potential theory, Damping |
| College: |
Professional Services |
| Funders: |
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, |
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