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Characterization of turbulence anisotropy, coherence, and intermittency at a prospective tidal energy site: Observational data analysis

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  • McCaffrey, Katherine
  • Fox-Kemper, Baylor
  • Hamlington, Peter E.
  • Thomson, Jim

Abstract

As interest in marine renewable energy increases, observations are crucial for understanding the environments that prospective turbines will encounter. Data from an acoustic Doppler velocimeter in Puget Sound, WA are used to perform a detailed characterization of the turbulent flow encountered by a turbine in a tidal strait. Metrics such as turbulence intensity, structure functions, probability density functions, intermittency, coherent turbulence kinetic energy, anisotropy invariants, and a new scalar measure of anisotropy are used to characterize the turbulence. The results indicate that the scalar anisotropy magnitude can be used to identify and parameterize coherent, turbulent events in the flow. An analysis of the anisotropy characteristics leads to a physical description of turbulent stresses as being primarily one- or two-dimensional, in contrast to isotropic, three-dimensional turbulence. A new measure of the anisotropy magnitude is introduced to quantify the level of anisotropic, coherent turbulence in a coordinate-independent way. These diagnostics and results will be useful for improved realism in modeling the performance and loading of turbines in realistic ocean environments.

Suggested Citation

  • McCaffrey, Katherine & Fox-Kemper, Baylor & Hamlington, Peter E. & Thomson, Jim, 2015. "Characterization of turbulence anisotropy, coherence, and intermittency at a prospective tidal energy site: Observational data analysis," Renewable Energy, Elsevier, vol. 76(C), pages 441-453.
  • Handle: RePEc:eee:renene:v:76:y:2015:i:c:p:441-453
    DOI: 10.1016/j.renene.2014.11.063
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    References listed on IDEAS

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    1. Gaurier, Benoît & Davies, Peter & Deuff, Albert & Germain, Grégory, 2013. "Flume tank characterization of marine current turbine blade behaviour under current and wave loading," Renewable Energy, Elsevier, vol. 59(C), pages 1-12.
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    Cited by:

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    5. 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).
    6. Calandra, Gemma & Wang, Taiping & Miller, Calum & Yang, Zhaoqing & Polagye, Brian, 2023. "A comparison of the power potential for surface- and seabed-deployed tidal turbines in the San Juan Archipelago, Salish Sea, WA," Renewable Energy, Elsevier, vol. 214(C), pages 168-184.
    7. 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.
    8. Milne, I.A. & Day, A.H. & Sharma, R.N. & Flay, R.G.J., 2016. "The characterisation of the hydrodynamic loads on tidal turbines due to turbulence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 851-864.
    9. 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.
    10. Ebdon, Tim & Allmark, Matthew J. & O’Doherty, Daphne M. & Mason-Jones, Allan & O’Doherty, Tim & Germain, Gregory & Gaurier, Benoit, 2021. "The impact of turbulence and turbine operating condition on the wakes of tidal turbines," Renewable Energy, Elsevier, vol. 165(P2), pages 96-116.

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