FN Archimer Export Format PT J TI A comprehensive assessment of turbulence at a tidal-stream energy site influenced by wind-generated ocean waves BT AF Thiébaut, Maxime Filipot, Jean-Francois Maisondieu, Christophe Damblans, Guillaume Duarte, Rui Droniou, Eloi Chaplain, Nicolas Guillou, Sylvain AS 1:1;2:1;3:2;4:1;5:1;6:3;7:4;8:5; FF 1:;2:;3:PDG-REM-RDT-LCSM;4:;5:;6:;7:;8:; C1 France Énergies Marines, Technopôle Brest-Iroise, 525 Avenue Alexis de Rochon, 29280, Plouzané, France IFREMER, ZI Pointe du diable, 29280, Plouzané, France DynamOcean SARL, 57 Rue de Metz, 56000, Vannes, France iXblue, 46 Quai François Mitterand, 13600, La Ciotat, France Normandie Univ, UNICAEN, LUSAC, EA4253, Site Universitaire de Cherbourg, Rue Louis Aragon, BP 78, 50130, Cherbourg-Octeville, France C2 FRANCE ENERGIES MARINES, FRANCE IFREMER, FRANCE DYNAMOCEAN SARL, FRANCE IXBLUE, FRANCE UNIV NORMANDIE, FRANCE SI BREST SE PDG-REM-RDT-LCSM IN WOS Ifremer UPR copubli-france copubli-univ-france IF 7.147 TC 34 UR https://archimer.ifremer.fr/doc/00592/70394/68478.pdf LA English DT Article CR HYD2M DE ;Turbulence;Tidal energy;Wave;Doppler noise;ADCP;Alderney Race AB 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. PY 2020 PD JAN SO Energy SN 0360-5442 PU Elsevier BV VL 191 UT 000509791500068 DI 10.1016/j.energy.2019.116550 ID 70394 ER EF