Jérôme Thiébot
University of Caen Lower Normandy
44 Papers
58 Citations
Jérôme Thiébot is an academic researcher from University of Caen Lower Normandy. The author has contributed to research in topics: Tidal power & Tidal farm. The author has an hindex of 10, co-authored 40 publications.
Chat about Author
Papers
Numerical modeling of the effect of tidal stream turbines on the hydrodynamics and the sediment transport – Application to the Alderney Race (Raz Blanchard), France
TL;DR: In this paper, a regional 2DH hydrodynamic model is used to estimate the tidal stream resource of a site located in a macrotidal environment with extreme tidal velocities.
130
Modelling turbulence with an Actuator Disk representing a tidal turbine
TL;DR: In this paper, the authors compared several RANS turbulence models, including the Standard and the Realizable k-e models, the SST k-ω model and the Reynolds Stress Model (RSM), to simulate the wake behind a turbine represented by a porous disk.
59
A semi-analytic method to optimize tidal farm layouts – Application to the Alderney Race (Raz Blanchard), France
TL;DR: In this paper, a semi-analytic model designed to optimize the turbine farm layout by maximizing the mechanical power production is presented. But the results show that the optimal turbine placement is strongly dependent on the asymmetry of the tidal current and that the best turbine placement depends on the directional spreading of the current with respect to the predominant direction.
44
Wake field study of tidal turbines under realistic flow conditions
TL;DR: In this paper, the authors investigate the flow interactions between turbines in a stream energy site with spatially and time-varying tidal conditions using the Actuator Disk (AD) theory.
43
Tidal farm analysis using an analytical model for the flow velocity prediction in the wake of a tidal turbine with small diameter to depth ratio
TL;DR: In this paper, the authors proposed a predictive analytical model to estimate the velocity distribution in the far wake of a single turbine with small diameter to depth ratio (20% here), which is the first step prior to integrating the wake model in a tidal farm layout optimization algorithm.
38