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Investigation and Optimisation of an Array-on-device configuration for a Novel Wave Energy Converter / EMILIO FARAGGIANA

Swansea University Author: EMILIO FARAGGIANA

  • E-Thesis – open access under embargo until: 20th February 2025

DOI (Published version): 10.23889/SUthesis.59692

Abstract

Wave energy has a huge potential to satisfy the global electricity demand from a renewable source. Many Wave Energy Converters (WECs) have been designed to harvest energy from sea waves but, to date, they cannot compete on the commercial energy market. However, the WaveSub, which is a point absorber...

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Published: Swansea 2020
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
Supervisor: Masters, Ian
URI: https://cronfa.swan.ac.uk/Record/cronfa59692
first_indexed 2022-03-22T11:19:34Z
last_indexed 2022-03-23T04:30:55Z
id cronfa59692
recordtype RisThesis
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spelling 2022-03-22T12:30:13.7744149 v2 59692 2022-03-22 Investigation and Optimisation of an Array-on-device configuration for a Novel Wave Energy Converter 80bb7f74ef20f2591e97c08202b954ac EMILIO FARAGGIANA EMILIO FARAGGIANA true false 2022-03-22 Wave energy has a huge potential to satisfy the global electricity demand from a renewable source. Many Wave Energy Converters (WECs) have been designed to harvest energy from sea waves but, to date, they cannot compete on the commercial energy market. However, the WaveSub, which is a point absorber developed by Marine power Systems Ltd, has a great potential to become one of the most promising future ways of wave energy extraction. This research project aims to develop and validate a numerical model of a multi-float configuration of the WaveSub device, followed by an optimisation of the design parameters to minimize the Levelized Cost Of Energy (LCOE). Hydrodynamic modelling of the device is based on a linear potential flow theory while a time domain simulation is used to estimate the power produced from the device. Then the drag force, the weakest point of the hydrodynamic forces calculation, has been investigated while the numerical model has been extended to include multi-directional waves. A benchmarking of the numerical model with tank testing of a 3 float WaveSub linear configuration against different regular wave cases demonstrated a good agreement with a relative mean total power difference between tank and model of around 10%. A genetic algorithm combined with the Kriging surrogate model was mainly used to optimise the LCOE. The 6 float configuration was found to operate at 21% lower LCOE compared to a single one. Finally, linear, rectangular, triangular and circular 6 float configurations were investigated. The circular configuration performed best with a LCOE reduction around 12% relative to the worst configuration. This work is a starting point for a more extended study of multi-float configurations, which can include more floats and complex geometries. Our results will help to develop a future multi-float WaveSub design, which can harvest renewable energy competitively. E-Thesis Swansea 13 2 2020 2020-02-13 10.23889/SUthesis.59692 COLLEGE NANME COLLEGE CODE Swansea University Masters, Ian Doctoral Ph.D 2022-03-22T12:30:13.7744149 2022-03-22T11:17:01.6754979 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised EMILIO FARAGGIANA 1 Under embargo Under embargo 2022-03-22T12:21:32.9723490 Output 6963799 application/pdf E-Thesis – open access true 2025-02-20T00:00:00.0000000 Copyright: The author, Emilio Faraggiana, 2020. true eng
title Investigation and Optimisation of an Array-on-device configuration for a Novel Wave Energy Converter
spellingShingle Investigation and Optimisation of an Array-on-device configuration for a Novel Wave Energy Converter
EMILIO FARAGGIANA
title_short Investigation and Optimisation of an Array-on-device configuration for a Novel Wave Energy Converter
title_full Investigation and Optimisation of an Array-on-device configuration for a Novel Wave Energy Converter
title_fullStr Investigation and Optimisation of an Array-on-device configuration for a Novel Wave Energy Converter
title_full_unstemmed Investigation and Optimisation of an Array-on-device configuration for a Novel Wave Energy Converter
title_sort Investigation and Optimisation of an Array-on-device configuration for a Novel Wave Energy Converter
author_id_str_mv 80bb7f74ef20f2591e97c08202b954ac
author_id_fullname_str_mv 80bb7f74ef20f2591e97c08202b954ac_***_EMILIO FARAGGIANA
author EMILIO FARAGGIANA
author2 EMILIO FARAGGIANA
format E-Thesis
publishDate 2020
institution Swansea University
doi_str_mv 10.23889/SUthesis.59692
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 Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 0
active_str 0
description Wave energy has a huge potential to satisfy the global electricity demand from a renewable source. Many Wave Energy Converters (WECs) have been designed to harvest energy from sea waves but, to date, they cannot compete on the commercial energy market. However, the WaveSub, which is a point absorber developed by Marine power Systems Ltd, has a great potential to become one of the most promising future ways of wave energy extraction. This research project aims to develop and validate a numerical model of a multi-float configuration of the WaveSub device, followed by an optimisation of the design parameters to minimize the Levelized Cost Of Energy (LCOE). Hydrodynamic modelling of the device is based on a linear potential flow theory while a time domain simulation is used to estimate the power produced from the device. Then the drag force, the weakest point of the hydrodynamic forces calculation, has been investigated while the numerical model has been extended to include multi-directional waves. A benchmarking of the numerical model with tank testing of a 3 float WaveSub linear configuration against different regular wave cases demonstrated a good agreement with a relative mean total power difference between tank and model of around 10%. A genetic algorithm combined with the Kriging surrogate model was mainly used to optimise the LCOE. The 6 float configuration was found to operate at 21% lower LCOE compared to a single one. Finally, linear, rectangular, triangular and circular 6 float configurations were investigated. The circular configuration performed best with a LCOE reduction around 12% relative to the worst configuration. This work is a starting point for a more extended study of multi-float configurations, which can include more floats and complex geometries. Our results will help to develop a future multi-float WaveSub design, which can harvest renewable energy competitively.
published_date 2020-02-13T20:23:16Z
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score 11.048302

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