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Comparison of dense optical flow and PIV techniques for mapping surface current flow in tidal stream energy sites

J. McIlvenny Orcid Logo, B. J. Williamson Orcid Logo, Iain Fairley, M. Lewis Orcid Logo, S. Neill Orcid Logo, Ian Masters Orcid Logo, Dominic Reeve Orcid Logo

International Journal of Energy and Environmental Engineering, Volume: 14

Swansea University Authors: Iain Fairley, Ian Masters Orcid Logo, Dominic Reeve Orcid Logo

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DOI (Published version): 10.1007/s40095-022-00519-z

Abstract

Marine renewable energy site and resource characterisation, in particular tidal stream energy, require detailed flow measurements which often rely on high-cost in situ instrumentation which is limited in spatial extent. We hypothesise uncrewed aerial vehicles (UAV) offer a low-cost and low-risk data...

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Published in: International Journal of Energy and Environmental Engineering
ISSN: 2008-9163 2251-6832
Published: Springer Science and Business Media LLC 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa61250
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spelling v2 61250 2022-09-16 Comparison of dense optical flow and PIV techniques for mapping surface current flow in tidal stream energy sites 568e6f260489dc8139afe77757553513 Iain Fairley Iain Fairley true false 6fa19551092853928cde0e6d5fac48a1 0000-0001-7667-6670 Ian Masters Ian Masters true false 3e76fcc2bb3cde4ddee2c8edfd2f0082 0000-0003-1293-4743 Dominic Reeve Dominic Reeve true false 2022-09-16 FGSEN Marine renewable energy site and resource characterisation, in particular tidal stream energy, require detailed flow measurements which often rely on high-cost in situ instrumentation which is limited in spatial extent. We hypothesise uncrewed aerial vehicles (UAV) offer a low-cost and low-risk data collection method for tidal stream environments, as recently techniques have been developed to derive flow from optical videography. This may benefit tidal and floating renewable energy developments, providing additional insight into flow conditions and complement traditional instrumentation. Benefits to existing data collection methods include capturing flow over a large spatial extent synchronously, which could be used to analyse flow around structures or for site characterisation; however, uncertainty and method application to tidal energy sites is unclear. Here, two algorithms are tested: large-scale particle image velocimetry using PIVlab and dense optical flow. The methods are applied on video data collected at two tidal stream energy sites (Pentland Firth, Scotland, and Ramsey Sound, Wales) for a range of flow and environmental conditions. Although average validation measures were similar (~ 20–30% error), we recommend PIVlab processed velocity data at tidal energy sites because we find bias (underprediction) in optical flow for higher velocities (> 1 m/s). Journal Article International Journal of Energy and Environmental Engineering 14 Springer Science and Business Media LLC 2008-9163 2251-6832 Tidal stream; Remote sensing; Energy; Drones; UAV; Optical flow 2 9 2022 2022-09-02 10.1007/s40095-022-00519-z COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University Engineering and Physical Sciences Research Council, EP/S000747/1, Benjamin J. Williamson 2023-09-04T18:03:49.9652248 2022-09-16T09:39:10.6647916 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering J. McIlvenny 0000-0002-5342-7003 1 B. J. Williamson 0000-0002-7107-7713 2 Iain Fairley 3 M. Lewis 0000-0002-6900-5059 4 S. Neill 0000-0002-1674-3445 5 Ian Masters 0000-0001-7667-6670 6 Dominic Reeve 0000-0003-1293-4743 7 61250__25230__40c7baf751f14549b5131da5085a606f.pdf 61250_VoR.pdf 2022-09-26T14:55:02.0237978 Output 5187545 application/pdf Version of Record true © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License. true eng http://creativecommons.org/licenses/by/4.0/
title Comparison of dense optical flow and PIV techniques for mapping surface current flow in tidal stream energy sites
spellingShingle Comparison of dense optical flow and PIV techniques for mapping surface current flow in tidal stream energy sites
Iain Fairley
Ian Masters
Dominic Reeve
title_short Comparison of dense optical flow and PIV techniques for mapping surface current flow in tidal stream energy sites
title_full Comparison of dense optical flow and PIV techniques for mapping surface current flow in tidal stream energy sites
title_fullStr Comparison of dense optical flow and PIV techniques for mapping surface current flow in tidal stream energy sites
title_full_unstemmed Comparison of dense optical flow and PIV techniques for mapping surface current flow in tidal stream energy sites
title_sort Comparison of dense optical flow and PIV techniques for mapping surface current flow in tidal stream energy sites
author_id_str_mv 568e6f260489dc8139afe77757553513
6fa19551092853928cde0e6d5fac48a1
3e76fcc2bb3cde4ddee2c8edfd2f0082
author_id_fullname_str_mv 568e6f260489dc8139afe77757553513_***_Iain Fairley
6fa19551092853928cde0e6d5fac48a1_***_Ian Masters
3e76fcc2bb3cde4ddee2c8edfd2f0082_***_Dominic Reeve
author Iain Fairley
Ian Masters
Dominic Reeve
author2 J. McIlvenny
B. J. Williamson
Iain Fairley
M. Lewis
S. Neill
Ian Masters
Dominic Reeve
format Journal article
container_title International Journal of Energy and Environmental Engineering
container_volume 14
publishDate 2022
institution Swansea University
issn 2008-9163
2251-6832
doi_str_mv 10.1007/s40095-022-00519-z
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
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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
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description Marine renewable energy site and resource characterisation, in particular tidal stream energy, require detailed flow measurements which often rely on high-cost in situ instrumentation which is limited in spatial extent. We hypothesise uncrewed aerial vehicles (UAV) offer a low-cost and low-risk data collection method for tidal stream environments, as recently techniques have been developed to derive flow from optical videography. This may benefit tidal and floating renewable energy developments, providing additional insight into flow conditions and complement traditional instrumentation. Benefits to existing data collection methods include capturing flow over a large spatial extent synchronously, which could be used to analyse flow around structures or for site characterisation; however, uncertainty and method application to tidal energy sites is unclear. Here, two algorithms are tested: large-scale particle image velocimetry using PIVlab and dense optical flow. The methods are applied on video data collected at two tidal stream energy sites (Pentland Firth, Scotland, and Ramsey Sound, Wales) for a range of flow and environmental conditions. Although average validation measures were similar (~ 20–30% error), we recommend PIVlab processed velocity data at tidal energy sites because we find bias (underprediction) in optical flow for higher velocities (> 1 m/s).
published_date 2022-09-02T18:03:51Z
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