Separation of Homogeneous Azeotropic Mixtures by Pressure Swing Distillation - Analysis of the Operation Performance

2005 ◽  
Vol 28 (10) ◽  
pp. 1151-1157 ◽  
Author(s):  
J.-U. Repke ◽  
F. Forner ◽  
A. Klein
2013 ◽  
Vol 13 (1) ◽  
pp. 43
Author(s):  
Sutijan Sutijan ◽  
Megan Jobson ◽  
Robin Smith

This paper presents a systematic methodology for flowsheet generation for separating binary azeotropic mixtures using homogeneous azeotropic distillation. A new classification system for ternary mixtures using ‘standard distillation line maps’ defined in Sutijan et al. (2012) is employed. The new characterisation system is able to link candidate entrainers to flowsheet structures which can facilitate the separation. The sequences considered include pressure-swing distillation, two and three-column flowsheets with or without boundary crossing and the use of single and double-feed columns. For a given ternary mixture, suitable flowsheet structures that can facilitate the separation can be automatically identified. The method is illustrated using examples.


2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Adjay Sagar S ◽  
Imran Rahman

Abstract Complete separation can be achieved in selective homogeneous azeotropic mixtures by exploiting the pressure sensitive nature of the system. In the present work the optimal number of trays, feed location and reflux ratio for sequential column systems encountered in continuous pressure swing distillation (PSD) have been determined by use of two evolutionary techniques. Two industrially relevant systems: ethanol-water and acetonitrile-water have been considered. The Napthali-Sandholm model is solved to obtain the concentration and temperature profiles. The objective is to minimize the total cost using Genetic Algorithm (GA) and Differential Evolution (DE) for the two azeotropic systems. The techniques offer attractive features like applicability to discontinuous and non-differentiable search spaces.


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