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Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter
Ocean Engineering, Volume: 218, Start page: 108251
Swansea University Authors:
Emilio Faraggiana, Alison Williams , Ian Masters
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© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
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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...
Published in: | Ocean Engineering |
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ISSN: | 0029-8018 |
Published: |
Elsevier BV
2020
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa55550 |
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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 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. |
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Keywords: |
Renewable energy, Wave energy, Optimisation, LCOE |
College: |
Faculty of Science and Engineering |
Start Page: |
108251 |