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Spatio-temporal variation in wave power and implications for electricity supply

Iain Fairley, H.C.M. Smith, B. Robertson, M. Abusara, Ian Masters Orcid Logo

Renewable Energy, Volume: 114, Issue: Part A, Pages: 154 - 165

Swansea University Authors: Iain Fairley, Ian Masters Orcid Logo

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DOI (Published version): 10.1016/j.renene.2017.03.075

Abstract

Wave energy resources are intermittent and variable over both spatial and temporal scales. This is of concern when considering the supply of power to the electricity grid. This paper investigates whether deploying arrays of devices across multiple spatially separated sites can reduce intermittency o...

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Published in: Renewable Energy
ISSN: 0960-1481
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa32791
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first_indexed 2017-03-29T13:47:22Z
last_indexed 2021-01-15T03:51:40Z
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spelling 2021-01-14T13:15:07.3158538 v2 32791 2017-03-29 Spatio-temporal variation in wave power and implications for electricity supply 568e6f260489dc8139afe77757553513 Iain Fairley Iain Fairley true false 6fa19551092853928cde0e6d5fac48a1 0000-0001-7667-6670 Ian Masters Ian Masters true false 2017-03-29 FGSEN Wave energy resources are intermittent and variable over both spatial and temporal scales. This is of concern when considering the supply of power to the electricity grid. This paper investigates whether deploying arrays of devices across multiple spatially separated sites can reduce intermittency of supply and step changes in generated power, thereby smoothing the contribution of wave energy to power supply. The primary focus is on the southwest UK; SWAN wave model hindcast data are analysed to assess the correlation of the resource across multiple sites and the variability of power levels with wave directionality. Power matrices are used to calculate step changes in the generated power with increasing numbers of sites. This is extended to national and European scales using ECMWF hindcast data to analyse the impacts of generating power at multiple sites over wider areas. Results show that at all scales the step change in generated power and the percentage of time with zero generation decreases with increasing numbers of sites before plateauing. This has positive implications for performance of electricity grids with high levels of renewable penetration. Journal Article Renewable Energy 114 Part A 154 165 0960-1481 Wave power; Wave resource; Grid integration; SWAN wave model; Wave intermittency; Buoy data 1 12 2017 2017-12-01 10.1016/j.renene.2017.03.075 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University RCUK 2021-01-14T13:15:07.3158538 2017-03-29T11:49:59.5410734 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Iain Fairley 1 H.C.M. Smith 2 B. Robertson 3 M. Abusara 4 Ian Masters 0000-0001-7667-6670 5 32791__17563__294c0599b6b94914a1fa2a9806d2a1c1.pdf 32791.pdf 2020-06-23T11:01:27.7753139 Output 4384433 application/pdf Version of Record true ©2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license. true eng http://creativecommons.org/licenses/by/4.0/
title Spatio-temporal variation in wave power and implications for electricity supply
spellingShingle Spatio-temporal variation in wave power and implications for electricity supply
Iain Fairley
Ian Masters
title_short Spatio-temporal variation in wave power and implications for electricity supply
title_full Spatio-temporal variation in wave power and implications for electricity supply
title_fullStr Spatio-temporal variation in wave power and implications for electricity supply
title_full_unstemmed Spatio-temporal variation in wave power and implications for electricity supply
title_sort Spatio-temporal variation in wave power and implications for electricity supply
author_id_str_mv 568e6f260489dc8139afe77757553513
6fa19551092853928cde0e6d5fac48a1
author_id_fullname_str_mv 568e6f260489dc8139afe77757553513_***_Iain Fairley
6fa19551092853928cde0e6d5fac48a1_***_Ian Masters
author Iain Fairley
Ian Masters
author2 Iain Fairley
H.C.M. Smith
B. Robertson
M. Abusara
Ian Masters
format Journal article
container_title Renewable Energy
container_volume 114
container_issue Part A
container_start_page 154
publishDate 2017
institution Swansea University
issn 0960-1481
doi_str_mv 10.1016/j.renene.2017.03.075
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 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 Wave energy resources are intermittent and variable over both spatial and temporal scales. This is of concern when considering the supply of power to the electricity grid. This paper investigates whether deploying arrays of devices across multiple spatially separated sites can reduce intermittency of supply and step changes in generated power, thereby smoothing the contribution of wave energy to power supply. The primary focus is on the southwest UK; SWAN wave model hindcast data are analysed to assess the correlation of the resource across multiple sites and the variability of power levels with wave directionality. Power matrices are used to calculate step changes in the generated power with increasing numbers of sites. This is extended to national and European scales using ECMWF hindcast data to analyse the impacts of generating power at multiple sites over wider areas. Results show that at all scales the step change in generated power and the percentage of time with zero generation decreases with increasing numbers of sites before plateauing. This has positive implications for performance of electricity grids with high levels of renewable penetration.
published_date 2017-12-01T03:40:18Z
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score 10.997933

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