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Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter

E. Faraggiana, J.C. Chapman, A.J. Williams, I. Masters, Emilio Faraggiana, Alison Williams Orcid Logo, Ian Masters Orcid Logo

Ocean Engineering, Volume: 218, Start page: 108251

Swansea University Authors: Emilio Faraggiana, Alison Williams Orcid Logo, Ian Masters Orcid Logo

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DOI (Published version): 10.1016/j.oceaneng.2020.108251

Abstract

Optimisation of Wave Energy Converters (WECs) is a very important topic to obtain competitive devices in the energy market. Wave energy is a renewable resource that could contribute significantly to a future sustainable world. Research is on-going to reduce costs and increase the amount of energy ca...

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Published in: Ocean Engineering
ISSN: 0029-8018
Published: Elsevier BV 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa55550
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spelling 2021-12-02T11:26:40.6419080 v2 55550 2020-10-29 Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter b49c94cb2f61fcf2d08206ce893f255c Emilio Faraggiana Emilio Faraggiana true false cb1b1946eccac3bbf7592d6ab1c4d065 0000-0002-2494-1468 Alison Williams Alison Williams true false 6fa19551092853928cde0e6d5fac48a1 0000-0001-7667-6670 Ian Masters Ian Masters true false 2020-10-29 FGSEN Optimisation of Wave Energy Converters (WECs) is a very important topic to obtain competitive devices in the energy market. Wave energy is a renewable resource that could contribute significantly to a future sustainable world. Research is on-going to reduce costs and increase the amount of energy captured. This work aims to optimise a WaveSub device made up of multiple floats in a line by investigating the influence of 6 different design parameters such as the number of floats. Here we show that a multi-float configuration of 6 floats is more competitive in terms of Levelised Cost Of Energy (LCOE) compared to a single float configuration with a LCOE reduction of around 21%. We demonstrate that multi-float configurations of this device reduce the LCOE especially because of the reduction of grid connection, installation, control and mooring costs. From the power capture perspective, optimized multi-float configurations still have similar capacity factors to the single float configuration. This research gives important indications for further development of the WECs from an optimisation perspective. These promising results show that more complex, optimized, multi-float configurations could be investigated in future. Journal Article Ocean Engineering 218 108251 Elsevier BV 0029-8018 Renewable energy, Wave energy, Optimisation, LCOE 15 12 2020 2020-12-15 10.1016/j.oceaneng.2020.108251 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2021-12-02T11:26:40.6419080 2020-10-29T11:23:09.8503376 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering E. Faraggiana 1 J.C. Chapman 2 A.J. Williams 3 I. Masters 4 Emilio Faraggiana 5 Alison Williams 0000-0002-2494-1468 6 Ian Masters 0000-0001-7667-6670 7 55550__18533__f539b6b68111475d975730954cf97d8a.pdf 55550.pdf 2020-10-29T14:39:51.2648629 Output 1531393 application/pdf Accepted Manuscript true 2021-10-28T00:00:00.0000000 © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter
spellingShingle Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter
Emilio Faraggiana
Alison Williams
Ian Masters
title_short Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter
title_full Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter
title_fullStr Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter
title_full_unstemmed Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter
title_sort Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter
author_id_str_mv b49c94cb2f61fcf2d08206ce893f255c
cb1b1946eccac3bbf7592d6ab1c4d065
6fa19551092853928cde0e6d5fac48a1
author_id_fullname_str_mv b49c94cb2f61fcf2d08206ce893f255c_***_Emilio Faraggiana
cb1b1946eccac3bbf7592d6ab1c4d065_***_Alison Williams
6fa19551092853928cde0e6d5fac48a1_***_Ian Masters
author Emilio Faraggiana
Alison Williams
Ian Masters
author2 E. Faraggiana
J.C. Chapman
A.J. Williams
I. Masters
Emilio Faraggiana
Alison Williams
Ian Masters
format Journal article
container_title Ocean Engineering
container_volume 218
container_start_page 108251
publishDate 2020
institution Swansea University
issn 0029-8018
doi_str_mv 10.1016/j.oceaneng.2020.108251
publisher Elsevier BV
college_str Faculty of Science and Engineering
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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 Optimisation of Wave Energy Converters (WECs) is a very important topic to obtain competitive devices in the energy market. Wave energy is a renewable resource that could contribute significantly to a future sustainable world. Research is on-going to reduce costs and increase the amount of energy captured. This work aims to optimise a WaveSub device made up of multiple floats in a line by investigating the influence of 6 different design parameters such as the number of floats. Here we show that a multi-float configuration of 6 floats is more competitive in terms of Levelised Cost Of Energy (LCOE) compared to a single float configuration with a LCOE reduction of around 21%. We demonstrate that multi-float configurations of this device reduce the LCOE especially because of the reduction of grid connection, installation, control and mooring costs. From the power capture perspective, optimized multi-float configurations still have similar capacity factors to the single float configuration. This research gives important indications for further development of the WECs from an optimisation perspective. These promising results show that more complex, optimized, multi-float configurations could be investigated in future.
published_date 2020-12-15T04:09:51Z
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score 11.013619

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