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Comparison of ADCP observations and 3D model simulations of turbulence at a tidal energy site

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  • Togneri, Michael
  • Lewis, Matt
  • Neill, Simon
  • Masters, Ian

Abstract

Field measurement of turbulence in strong tidal currents is difficult and expensive, but the tidal energy industry needs to accurately quantify turbulence for adequate resource characterisation and device design. Models that can predict such turbulence could reduce measurement costs. We compare a Regional Ocean Modelling System (ROMS) simulation with acoustic Doppler current profiler (ADCP) measurements from a highly-energetic tidal site. This comparison shows the extent to which turbulence can be quantified by ROMS, using the conventional k−ε turbulence closure model. Both model and observations covered the same time period, encompassing two spring-neap cycles. Turbulent kinetic energy (TKE) density was calculated from measurements using the variance method; turbulent dissipation, ε, was calculated using the structure function method. Measurements show that wave action dominates turbulent fluctuations in the upper half of the water column; comparing results for deeper water, however, shows very strong agreement. A best fit between ROMS and ADCP results for mean velocity yields R2=0.98; for TKE, R2 is 0.84 when strongly wave-dominated times are excluded. Dissipation agrees less well: although time series of ε are well-correlated at similar depths, ROMS estimates a greater magnitude of dissipation than is measured, by a factor of up to 4.8.

Suggested Citation

  • Togneri, Michael & Lewis, Matt & Neill, Simon & Masters, Ian, 2017. "Comparison of ADCP observations and 3D model simulations of turbulence at a tidal energy site," Renewable Energy, Elsevier, vol. 114(PA), pages 273-282.
    • Handle: RePEc:eee:renene:v:114:y:2017:i:pa:p:273-282
    DOI: 10.1016/j.renene.2017.03.061
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    References listed on IDEAS

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    1. Ian Masters & Alison Williams & T. Nick Croft & Michael Togneri & Matt Edmunds & Enayatollah Zangiabadi & Iain Fairley & Harshinie Karunarathna, 2015. "A Comparison of Numerical Modelling Techniques for Tidal Stream Turbine Analysis," Energies, MDPI, vol. 8(8), pages 1-21, July.
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    3. Neill, Simon P. & Hashemi, M. Reza & Lewis, Matt J., 2014. "The role of tidal asymmetry in characterizing the tidal energy resource of Orkney," Renewable Energy, Elsevier, vol. 68(C), pages 337-350.
    4. Neill, Simon P. & Hashemi, M. Reza & Lewis, Matt J., 2014. "Optimal phasing of the European tidal stream resource using the greedy algorithm with penalty function," Energy, Elsevier, vol. 73(C), pages 997-1006.
    5. Lewis, M.J. & Neill, S.P. & Hashemi, M.R. & Reza, M., 2014. "Realistic wave conditions and their influence on quantifying the tidal stream energy resource," Applied Energy, Elsevier, vol. 136(C), pages 495-508.
    6. Val, Dimitri V. & Chernin, Leon & Yurchenko, Daniil V., 2014. "Reliability analysis of rotor blades of tidal stream turbines," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 26-33.
    7. Lewis, M. & Neill, S.P. & Robins, P.E. & Hashemi, M.R., 2015. "Resource assessment for future generations of tidal-stream energy arrays," Energy, Elsevier, vol. 83(C), pages 403-415.
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    12. Calvino, Clément & Furgerot, Lucille & Poizot, Emmanuel & du Bois, Pascal Bailly & Bennis, Anne-Claire, 2023. "Model and method to predict the turbulent kinetic energy induced by tidal currents, application to the wave-induced turbulence," Renewable Energy, Elsevier, vol. 216(C).
    13. Garcia Novo, Patxi & Kyozuka, Yusaku, 2020. "Validation of a turbulence numerical 3D model for an open channel with strong tidal currents," Renewable Energy, Elsevier, vol. 162(C), pages 993-1004.
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