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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