Abstract
High degree of competitiveness associated with petroleum leads to the exhaustive search for new technologies that enable greater efficiency in the related processes. A three-dimensional mathematical homogeneous biphasic model was implemented in the commercial code of Computational Fluid Dynamics (CFD), FLUENT package to predict concentration and temperature distributions on sieve trays of distillation columns and good simulation results are obtained. The tray geometries and operating conditions are based on the experimental works of Indian oil corporation limited (R&D). The dispersed gas phase and continuous liquid phase are modelled in the mixture model for two interpenetrating phases with inter phase momentum, heat and mass transfer. The main objective of this study has been to find the extent to which CFD can be used as a prediction tool for real behaviour, and concentration and temperature distributions of sieve trays. The simulation results are shown that CFD is a powerful tool in tray design, analysis and trouble shooting, and can be considered as a new approach for efficiency calculations.
Highlights
Distillation is a separation process of major importance in the chemical industries, and known as the energy-intensive process
For a given set of operating conditions, tray geometry and system properties, it is required to predict the flow regime prevailing on the tray, liquid holdup, clear liquid height, froth density, interfacial area, pressure drop, liquid entrainment, gas and liquid phase residence time distributions and the mass transfer coefficients in either liquid phase
In this work a model is developed using Computational Fluid Dynamics (CFD) tool to give the predictions of the fluid flow patterns, and heat and mass transfer over sieve tray
Summary
Distillation is a separation process of major importance in the chemical industries, and known as the energy-intensive process. Distillation involves simultaneous mass and heat transfer between the liquid and vapour phases. For a given set of operating conditions (gas and liquid loads), tray geometry (column diameter, weir height, weir length, diameter of holes, fractional hole area, active bubbling area, down comer area) and system properties, it is required to predict the flow regime prevailing on the tray, liquid holdup, clear liquid height, froth density, interfacial area, pressure drop, liquid entrainment, gas and liquid phase residence time distributions and the mass transfer coefficients in either liquid phase.
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