Account of ambient turbulence for turbine wakes using a Synthetic-Eddy-Method - Normandie Université Access content directly
Journal Articles Journal of Physics: Conference Series Year : 2017

Account of ambient turbulence for turbine wakes using a Synthetic-Eddy-Method


The present paper aims at describing the use of a Synthetic-Eddy-Method (SEM), initially proposed by Jarrin et al. [12], in the 3D Lagrangian Vortex method framework. The SEM method is used here in order to generate a far-field incoming flow with a prescribed ambient turbulence intensity. However, for the account of the diffusive term in the Navier-Stokes equations, a classical Particle Strength Exchange model with a LES eddy viscosity is used. Firstly, the general characteristics of the Synthetic-Eddy-Method will be presented together with its integration in the framework of the developed 3D unsteady Lagrangian Vortex software [27]. The capability of the ambient turbulence model to reproduce a perturbed flow that verifies any turbulence intensity I ∞ and any anisotropic ratio (σu:σv:σw) will be discussed and validated. Then, the capability of the presented ambient turbulence model to compute turbine wakes will also be presented together with first results. Finally, comparisons will be made between the obtained numerical results against experimental data [22, 23] for two levels of ambient turbulence, namely I ∞ = 3% and I∞ = 15%. Although the present study was initially performed in the framework of tidal energy, its application to wind energy is straightforward.
Fichier principal
Vignette du fichier
Pinon_2017_J._Phys. _Conf._Ser._854_012016.pdf (1.23 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

hal-03776682 , version 1 (14-09-2022)



Grégory Pinon, Clément Carlier, Arnaud Fur, Benoît Gaurier, Grégory Germain, et al.. Account of ambient turbulence for turbine wakes using a Synthetic-Eddy-Method. Journal of Physics: Conference Series, 2017, 854, pp.012016. ⟨10.1088/1742-6596/854/1/012016⟩. ⟨hal-03776682⟩
14 View
19 Download



Gmail Facebook Twitter LinkedIn More