Characterising the wave energy resource of Lanzarote, Canary Islands
Waves of varying magnitude and frequency, characteristic of all coastal locations throughout the world, could be converted into electricity via wave energy converters. However, one challenge with wave energy conversion is lack of knowledge of the regional distribution of wave properties (e.g. to opt...
Published in: | Renewable Energy |
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2023
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Online Access: | https://research.bangor.ac.uk/portal/en/researchoutputs/characterising-the-wave-energy-resource-of-lanzarote-canary-islands(d11934d6-3433-4208-9caf-e8c7e9104391).html https://doi.org/10.1016/j.renene.2023.02.126 https://research.bangor.ac.uk/ws/files/54596722/Lanzarote_ms.pdf |
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ftuwalesbangcris:oai:research.bangor.ac.uk:publications/d11934d6-3433-4208-9caf-e8c7e9104391 2024-06-23T07:55:13+00:00 Characterising the wave energy resource of Lanzarote, Canary Islands Christie, David Neill, Simon Arnold, Peter 2023-04-01 application/pdf https://research.bangor.ac.uk/portal/en/researchoutputs/characterising-the-wave-energy-resource-of-lanzarote-canary-islands(d11934d6-3433-4208-9caf-e8c7e9104391).html https://doi.org/10.1016/j.renene.2023.02.126 https://research.bangor.ac.uk/ws/files/54596722/Lanzarote_ms.pdf eng eng https://research.bangor.ac.uk/portal/en/researchoutputs/characterising-the-wave-energy-resource-of-lanzarote-canary-islands(d11934d6-3433-4208-9caf-e8c7e9104391).html info:eu-repo/semantics/openAccess Christie , D , Neill , S & Arnold , P 2023 , ' Characterising the wave energy resource of Lanzarote, Canary Islands ' , Renewable Energy , vol. 206 , pp. 1198-1211 . https://doi.org/10.1016/j.renene.2023.02.126 article 2023 ftuwalesbangcris https://doi.org/10.1016/j.renene.2023.02.126 2024-05-29T23:53:52Z Waves of varying magnitude and frequency, characteristic of all coastal locations throughout the world, could be converted into electricity via wave energy converters. However, one challenge with wave energy conversion is lack of knowledge of the regional distribution of wave properties (e.g. to optimise site selection), and how the wave power varies at inter- and intra-annual timescales. Here, we apply physics- and non-physics-based approaches to accurately simulate the wave climate of the Canary Islands—a region in the eastern North Atlantic that relies heavily on the import of diesel to generate much of its electricity. Over the 11-year time period of the physics-based wave hindcast, the annual mean wave power of Lanzarote, one of the largest of the Canary Islands was approximately 25 kW/m along the exposed north-western coast of the island. We find that intra-annual variability was relatively low (compared with high latitude regions such as the west coast of Scotland), with the coefficient of variation for wave energy resource = 1.1. To reduce levelized cost, it could be advantageous to co-locate wave energy arrays with mature offshore wind energy, and we find that the dominance of swell waves in Lanzarote reduces the coefficient of variation for a 55% wind, 45% wave combination to 0.8. Finally, we demonstrate a simple non-physics based process for extending the output timeseries beyond the hindcast duration, by correlating with parameters from global models. Article in Journal/Newspaper North Atlantic Bangor University: Research Portal Renewable Energy 206 1198 1211 |
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Bangor University: Research Portal |
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ftuwalesbangcris |
language |
English |
description |
Waves of varying magnitude and frequency, characteristic of all coastal locations throughout the world, could be converted into electricity via wave energy converters. However, one challenge with wave energy conversion is lack of knowledge of the regional distribution of wave properties (e.g. to optimise site selection), and how the wave power varies at inter- and intra-annual timescales. Here, we apply physics- and non-physics-based approaches to accurately simulate the wave climate of the Canary Islands—a region in the eastern North Atlantic that relies heavily on the import of diesel to generate much of its electricity. Over the 11-year time period of the physics-based wave hindcast, the annual mean wave power of Lanzarote, one of the largest of the Canary Islands was approximately 25 kW/m along the exposed north-western coast of the island. We find that intra-annual variability was relatively low (compared with high latitude regions such as the west coast of Scotland), with the coefficient of variation for wave energy resource = 1.1. To reduce levelized cost, it could be advantageous to co-locate wave energy arrays with mature offshore wind energy, and we find that the dominance of swell waves in Lanzarote reduces the coefficient of variation for a 55% wind, 45% wave combination to 0.8. Finally, we demonstrate a simple non-physics based process for extending the output timeseries beyond the hindcast duration, by correlating with parameters from global models. |
format |
Article in Journal/Newspaper |
author |
Christie, David Neill, Simon Arnold, Peter |
spellingShingle |
Christie, David Neill, Simon Arnold, Peter Characterising the wave energy resource of Lanzarote, Canary Islands |
author_facet |
Christie, David Neill, Simon Arnold, Peter |
author_sort |
Christie, David |
title |
Characterising the wave energy resource of Lanzarote, Canary Islands |
title_short |
Characterising the wave energy resource of Lanzarote, Canary Islands |
title_full |
Characterising the wave energy resource of Lanzarote, Canary Islands |
title_fullStr |
Characterising the wave energy resource of Lanzarote, Canary Islands |
title_full_unstemmed |
Characterising the wave energy resource of Lanzarote, Canary Islands |
title_sort |
characterising the wave energy resource of lanzarote, canary islands |
publishDate |
2023 |
url |
https://research.bangor.ac.uk/portal/en/researchoutputs/characterising-the-wave-energy-resource-of-lanzarote-canary-islands(d11934d6-3433-4208-9caf-e8c7e9104391).html https://doi.org/10.1016/j.renene.2023.02.126 https://research.bangor.ac.uk/ws/files/54596722/Lanzarote_ms.pdf |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Christie , D , Neill , S & Arnold , P 2023 , ' Characterising the wave energy resource of Lanzarote, Canary Islands ' , Renewable Energy , vol. 206 , pp. 1198-1211 . https://doi.org/10.1016/j.renene.2023.02.126 |
op_relation |
https://research.bangor.ac.uk/portal/en/researchoutputs/characterising-the-wave-energy-resource-of-lanzarote-canary-islands(d11934d6-3433-4208-9caf-e8c7e9104391).html |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.renene.2023.02.126 |
container_title |
Renewable Energy |
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206 |
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1198 |
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1211 |
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