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- W4312379773 abstract "Abstract The development of the wind energy sector has to come with an increase in wind turbine and wind farm efficiency. This increase can be achieved through the use of CFD tools that allow to accurately predict, at a reasonable cost, the efficiency of new wind turbine designs, wind farm layouts and control strategies. In this context, high order CFD tools such as the ones based on the LES approach are required to develop and calibrate lower order models that can be used for industry purposes. The aim of the present study is to assess the ability of CERFACS’ LES solver developed for turbo-machinery applications — AVBP — to perform high fidelity simulations of wind turbine flows. To this end, a wall-modelled approach was chosen to describe the boundary layer on the blades. In addition, A static mesh adaptation method was developed to optimise the mesh size while accurately resolving the turbine wake. Finally, a Pressure Gradient Scaling method [1] was applied to artificially relax the compressible flow CFL condition to a low-mach one and increase the time step. The aforementioned framework was assessed on reduced wind turbine configurations developed and experimentally investigated by NTNU. Although the Reynolds number of these configurations is one to two orders of magnitude inferior to real wind turbine one, the controlled boundary conditions and the available experimental data make these configurations particularly interesting for code validation. Two configurations have been simulated. The results show the ability of the numerical approach to capture the transition between near and far wake and the interaction between inflow turbulence and the wake. The comparison with experimental measurements shows that simulations accurately predict the velocity deficit and recover the right amount of turbulent kinetic energy at the beginning of the far wake. As a conclusion, the framework developed in this study is adapted to reduced turbine computation yet it has to be further validated on real scale wind turbines." @default.
- W4312379773 created "2023-01-04" @default.
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- W4312379773 date "2022-06-13" @default.
- W4312379773 modified "2023-09-27" @default.
- W4312379773 title "Large Eddy Simulations of Wind Turbine Flows" @default.
- W4312379773 doi "https://doi.org/10.1115/gt2022-82096" @default.
- W4312379773 hasPublicationYear "2022" @default.
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