Flow Simulation and Identification of Important Model Parameters in Industrial Packed Beds for High-Performance Random Packings
 
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Laboratory of transfer processes in multiphase media, Institute of Chemical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 103, 1113, Sofia, Bulgaria
CORRESPONDING AUTHOR
Tatyana Stefanova Petrova   

Laboratory of transfer processes in multiphase media, Institute of Chemical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 103, 1113, Sofia, Bulgaria
Publish date: 2019-10-01
 
J. Ecol. Eng. 2019; 20(9):116–120
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ABSTRACT
The goals of this work is first, to simulate the liquid flow distribution in a large diameter (1.2 m) packed column with a high performance random packing RMSR 70-5 (layer height up to 3 m), by a dispersion model. Second one is to find and estimate the important model parameters and flow maldistribution factor, using experimental data and two different optimization approaches. A three-parameter dispersion model for prediction of radial liquid distribution and two different approaches to determine some of the model parameters from experimental data are used. In parallel, a two-parameter optimization procedure for model parameters’ identification is performed based on the minimum of residual variance between model and experimental liquid velocities over a column cross-section. The simulated and experimental flow maldistribution is estimated by an integral estimation –a maldistribution factor. The comparison between model and experimental liquid distribution and respective maldistribution factors at packing heights H=1m and H=2.5m for liquid load 16.6.10-3 m3/m2.s shows very good agreement, even for a high packing layer. In conclusion, the presented model predictions and estimations about packing RSRM 70-5 characteristics and behaviour will complement the information about its efficiency and operation in industrial processes.