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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Evaluation of the turbulent kinetic dissipation rate in an agitated vessel
 Kysela, Bohuš ; Konfršt, Jiří ; Chára, Zdeněk ; Sulc, R. ; Jašíková, D.
The design of agitated tanks depends on operating conditions and processes for that are used for. An important parameter for the scale-up modelling is the dissipation rate of the turbulent kinetic energy. The dissipation rate is commonly assumed to be a function of the impeller power input. But this approach gives no information about distribution of the dissipation rate inside the agitated volume. In this paper the distributions of the dissipation rate inside the agitated vessels are estimated by evaluations of the CFD (Computational Fluid Dynamics). The results obtained from RANS (Reynolds Averaged Navier-Stokes equations) k-epsilon turbulent model and LES (Large Eddy Simulations) with Smagorinsky SGS (Sub Grid Scale) model are compared. The agitated vessels with standard geometry equipped with four baffles and stirred by either a standard Rushton turbine or a high shear impeller were investigated. The results are compared with mean dissipation rate estimated from the total impeller power input.
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Turbulence modeling with WRF model
 Peštová, Zuzana ; Belda, Michal (advisor) ; Halenka, Tomáš (referee)
This bachelor's thesis deals with the comparison of WRF simulation results using the Large Eddy Simulation (LES) and physical parametrization at lower resolution. The first part is dedicated to the turbulent flow and Navier-Stokes equations. This part also contains basic information on the methods by which we can model the turbulent flow. These methods are DNS, RANS and LES. In the next part, atmospheric numerical models are presented and the WRF model is described in more detail, including a description of its execution. The main part of the thesis deals with the description of the performed simulations and the comparison of the results. The results obtained are compared first with real data and then for individual simulations with different parameterizations. 1
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