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journalArticle
Thiébaut
Maxime
Filipot
Jean-François
Maisondieu
Christophe
Damblans
Guillaume
Duarte
Rui
Droniou
Eloi
Chaplain
Nicolas
Guillou
Sylvain
ADCP
Alderney race
Doppler noise
Tidal energy
Turbulence
Wave
A comprehensive assessment of turbulence at a tidal-stream energy site influenced by wind-generated ocean waves
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.
116550
November 18, 2019
en
http://www.sciencedirect.com/science/article/pii/S0360544219322455
2019-11-22 08:47:38
ScienceDirect
Energy
Energy
DOI 10.1016/j.energy.2019.116550
ISSN 0360-5442