Carnegie Mellon University
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A Framework for Synthesizing the Optimal Separation Process of Azeotropic Mixtures

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journal contribution
posted on 2010-12-01, 00:00 authored by Xiao Yang, Hong-Guang Dong, Ignacio E. Grossmann

In this work a systematic framework is introduced to synthesize the optimal separation process of azeotropic mixtures. The proposed framework, which can handle an arbitrary number of components, consists of two main steps: a system analysis and a state-space superstructure algorithm. The system analysis is composed of some equation-oriented algorithms to supply basic information for the superstructure, including structure of the composition space, existence of unchangeable points and candidate operations. It is shown that the proposed superstructure featuring multi-stream mixing is superior to previous ones because it significantly expands the feasible area. Moreover, detailed design parameters such as number of stages and reflux ratio are derived. Additionally, flowsheet feasibility test rules are constructed to facilitate the analysis of the process, and are able to be used as heuristic methods to guide the design of ternary or quaternary systems. Two industrial cases are presented to illustrate the proposed framework.


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