FN Archimer Export Format PT J TI Experimental study of the shear flow effect on tidal turbine blade loading variation BT AF Magnier, Maelys Delette, Nina Druault, Philippe Gaurier, Benoit Germain, Gregory AS 1:1,2;2:1;3:2;4:1;5:1; FF 1:PDG-REM-RDT-LCSM;2:;3:;4:PDG-REM-RDT-LCSM;5:PDG-REM-RDT-LCSM; C1 Ifremer, Marine Structure Laboratory, 150 Quai Gambetta, 62200, Boulogne sur Mer, France Sorbonne Université, CNRS, UMR 7190, Institut Jean Le Rond d’Alembert, F-75005, Paris, France C2 IFREMER, FRANCE UNIV SORBONNE, FRANCE SI BOULOGNE SE PDG-REM-RDT-LCSM IN WOS Ifremer UPR copubli-france copubli-univ-france IF 8.7 TC 5 UR https://archimer.ifremer.fr/doc/00772/88365/93992.pdf LA English DT Article DE ;Marine renewable energies;Tidal turbine;Tidal velocity profiles;Inflow shear effects;Streamwise blade root loads;Angular phase average;Laser Doppler velocimetry AB Tidal turbine arrays are planed to be installed in areas with strong currents where the flow can often be sheared throughout the water column. To study the shear flow effects on tidal turbine, four vertical velocity profiles are generated in a flume tank and are imposed to a three-bladed horizontal axis turbine model. Results show that the sheared velocity profiles do not impact the turbine average performance but are responsible for an increase of blade root streamwise load variations. Blade root streamwise load is moreover linked to the turbine rotational frequency and its harmonics. The velocity perceived by the blades during their rotation is estimated over the rotor area and is compared to the angular phase average of the streamwise load measured on the blades. The phase average of the load and the velocity perceived by the blades are highly correlated even if a varying phase lag has been noticed between these two quantities. This phase lag is dependent on the rotational speed of the turbine, on the incoming flow shear, and is probably caused by the turbine induction effects. This experimental study is a first step to understand the effect of shear velocity profiles on tidal turbines better. PY 2022 PD JUL SO Renewable Energy SN 0960-1481 PU Elsevier BV VL 193 UT 000842484500012 BP 744 EP 757 DI 10.1016/j.renene.2022.05.042 ID 88365 ER EF