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

  • Jason McIlvenny
  • , Benjamin Williamson
  • , Ian Fairley
  • , Matthew Lewis
  • , Simon Neill
  • , Ian Masters
  • , Dominic E. Reeve
  • Swansea University
  • University of the Highlands and Islands

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

267 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

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).
Iaith wreiddiolSaesneg
Tudalennau (o-i)273-285
Nifer y tudalennau13
CyfnodolynInternational Journal of Energy and Environmental Engineering
Cyfrol14
Rhif cyhoeddi3
Dyddiad ar-lein cynnar2 Medi 2022
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - Medi 2023

NDC y CU

Mae’r allbwn hwn yn cyfrannu at y Nod(au) Datblygu Cynaliadwy canlynol

  1. NDC 7 - Ynni Fforddiadwy a Glân
    NDC 7 Ynni Fforddiadwy a Glân
  2. NDC 14 - Bywyd o Dan y Dŵr
    NDC 14 Bywyd o Dan y Dŵr

Ôl bys

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