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Distillation Viewer for Multicomponent Separations

By Joshua Huff, Gautham Madenoor Ramapriya, George A. Howlett1

1. Purdue University

Graphical interface to examine configurations generated by NLP distillation optimization

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Archive Version 1.14
Published on 03 Apr 2012
Latest version: 4.5. All versions

Open source: license | code unavailable

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Abstract

Prof. Rakesh Agrawal's separations group has been working for several years on the problem of providing a globally optimal, rapidly obtainable solution to the general problem of distilling a multicomponent mixture into its base components in the best way possible. This is achieved by using the Underwood equations for the vapor flow in each distillation column as a representation of the total column cost. The results are obtained from a nonlinear program incorporating all feasibility considerations to find the optimal way of arranging columns and allocating mass and energy flows in order to achieve the separation. This tool accepts input generated by the NLP to describe its results; the distillation viewer provides a picture of every column arrangement possible for an n-component mixture and allows them to be sorted by vapor duty and/or screened by the presence or absence of certain characteristic splits or columns. The viewer also provides the capability to generate journal-ready images of any distillation configuration.

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Department of Energy Industrial Technologies Program (ITP)

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Cite this work

Researchers should cite this work as follows:

  • Joshua Huff; Gautham Madenoor Ramapriya; George A. Howlett (2014), "Distillation Viewer for Multicomponent Separations," https://pharmahub.org/resources/distview.

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