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A comprehensive assessment of turbulence at a tidal-stream energy site influenced by wind-generated ocean waves

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  • Thiébaut, Maxime
  • Filipot, Jean-François
  • Maisondieu, Christophe
  • Damblans, Guillaume
  • Duarte, Rui
  • Droniou, Eloi
  • Chaplain, Nicolas
  • Guillou, Sylvain

Abstract

Velocity measurements collected by an upward-looking acoustic Doppler current profiler were used to provide the first study of ambient turbulence in Alderney Race. Turbulence metrics were estimated at mid-depth during peak flooding and ebbing tidal conditions. The dissipation rate ε and the integral lengthscale (L) were estimated using two independent methods: the spectral method and the structure function method. The spectral method provided ε and (L) estimates with standard deviations twice lower than that obtained from the structure function method. Removal of wave and Doppler noise-induced bias when estimating the dissipation rate was shown to be a crucial step in turbulence characterization. It allowed for a significant refining in (L) estimates derived from the spectral and structure function methods of 35% and 20% respectively. The integral lengthscale was found to be 2–3 times the local water depth. It is considered that these findings could be valuable for current turbine designers, helping them optimizing their designs as well as improving loading prediction through the lifetime of the machines.

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  • Thiébaut, Maxime & Filipot, Jean-François & Maisondieu, Christophe & Damblans, Guillaume & Duarte, Rui & Droniou, Eloi & Chaplain, Nicolas & Guillou, Sylvain, 2020. "A comprehensive assessment of turbulence at a tidal-stream energy site influenced by wind-generated ocean waves," Energy, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:energy:v:191:y:2020:i:c:s0360544219322455
    DOI: 10.1016/j.energy.2019.116550
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    References listed on IDEAS

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    2. Myriam Slama & Camille Choma Bex & Grégory Pinon & Michael Togneri & Iestyn Evans, 2021. "Lagrangian Vortex Computations of a Four Tidal Turbine Array: An Example Based on the NEPTHYD Layout in the Alderney Race," Energies, MDPI, vol. 14(13), pages 1-23, June.
    3. Shoukat, G. & Gaurier, B. & Facq, J.-V. & Payne, G.S., 2022. "Experimental investigation of the influence of mast proximity on rotor loads for horizontal axis tidal turbines," Renewable Energy, Elsevier, vol. 200(C), pages 983-995.
    4. Cossu, Remo & Penesis, Irene & Nader, Jean-Roch & Marsh, Philip & Perez, Larissa & Couzi, Camille & Grinham, Alistair & Osman, Peter, 2021. "Tidal energy site characterisation in a large tidal channel in Banks Strait, Tasmania, Australia," Renewable Energy, Elsevier, vol. 177(C), pages 859-870.
    5. Perez, Larissa & Cossu, Remo & Grinham, Alistair & Penesis, Irene, 2021. "Seasonality of turbulence characteristics and wave-current interaction in two prospective tidal energy sites," Renewable Energy, Elsevier, vol. 178(C), pages 1322-1336.
    6. Perez, Larissa & Cossu, Remo & Grinham, Alistair & Penesis, Irene, 2022. "An investigation of tidal turbine performance and loads under various turbulence conditions using Blade Element Momentum theory and high-frequency field data acquired in two prospective tidal energy s," Renewable Energy, Elsevier, vol. 201(P1), pages 928-937.
    7. Perez, Larissa & Cossu, Remo & Grinham, Alistair & Penesis, Irene, 2022. "Tidal turbine performance and loads for various hub heights and wave conditions using high-frequency field measurements and Blade Element Momentum theory," Renewable Energy, Elsevier, vol. 200(C), pages 1548-1560.
    8. Thiébaut, Maxime & Quillien, Nolwenn & Maison, Antoine & Gaborieau, Herveline & Ruiz, Nicolas & MacKenzie, Seumas & Connor, Gary & Filipot, Jean-François, 2022. "Investigating the flow dynamics and turbulence at a tidal-stream energy site in a highly energetic estuary," Renewable Energy, Elsevier, vol. 195(C), pages 252-262.
    9. Fredriksson, Sam T. & Broström, Göran & Bergqvist, Björn & Lennblad, Johan & Nilsson, Håkan, 2021. "Modelling Deep Green tidal power plant using large eddy simulations and the actuator line method," Renewable Energy, Elsevier, vol. 179(C), pages 1140-1155.
    10. Larissa Perez & Remo Cossu & Camille Couzi & Irene Penesis, 2020. "Wave-Turbulence Decomposition Methods Applied to Tidal Energy Site Assessment," Energies, MDPI, vol. 13(5), pages 1-21, March.

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