FN Archimer Export Format
PT J
TI Turbulence analysis and multiscale correlations between synchronized flow velocity and marine turbine power production
BT 
AF Duran-Medina, Olmo
   SCHMITT, Francois G.
   CALIF, Rudy
   GERMAIN, Gregory
   GAURIER, Benoit
AS 1:1;2:1;3:2;4:3;5:3;
FF 1:;2:;3:;4:PDG-REM-RDT-LCSM;5:PDG-REM-RDT-LCSM;
C1 Univ Lille, CNRS, Univ Littoral Cote Opale, UMR 8187,LOG, F-62930 Wimereux, France.
   Univ Antilles, LARGE Lab Geosci & Energies, EA 4935, F-97170 Fouillole, Pap, France.
   IFREMER, Marine Struct Lab, 150 Quai Gambetta,BP 699, F-62321 Boulogne Sur Mer, France.
C2 UNIV LILLE, FRANCE
   UNIV ANTILLES, FRANCE
   IFREMER, FRANCE
SI BOULOGNE
SE PDG-REM-RDT-LCSM
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 4.9
TC 30
UR https://archimer.ifremer.fr/doc/00385/49620/50134.pdf
LA English
DT Article
DE ;Marine energy;Turbulence;Multifractal energy cascade;Intermittency;Turbine power production;High frequency data rate
AB The correlation between the flow turbulence and the performances of a marine current turbine is studied. First, the incoming flow encountered in the flume tank is characterized in the framework of fully developed turbulent cascades in the inertial range. The Reynolds number, the Kolmogorov dissipation scale and the integral scale, are estimated from flow measurements. The intermittency of the turbulence is characterized in the lognormal multifractal framework, and the influence of the turbulent flow on the turbine power is assessed. The rotor speed control unit characteristics used for the turbine regulation induces non-negligible effects on the turbine behavior under fluctuations loads. Even if the power spectrum does not reveal any scale invariance, a multiscale analysis allows us to show the correlations between the turbulence time series and the power produced. The classical Mean Square Coherency function shows that for scales larger than 10 s, the upstream velocity and power have large correlations. In the framework of the Empirical Mode Decomposition method, such correlations are studied using the time-dependence intrinsic correlation analysis method. This method allows to zoom into time-frequency scales where the flow perturbations induced some modifications in power production. 
PY 2017
PD NOV
SO Renewable Energy
SN 0960-1481
PU Pergamon-elsevier Science Ltd
VL 112
UT 000404311900027
BP 314
EP 327
DI 10.1016/j.renene.2017.05.024
ID 49620
ER

EF