Optimal synthesis of para-xylene separation processes based on crystallization technology

Ricardo M. Lima, Ignacio E. Grossmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper addresses the synthesis and optimization of crystallization processes for p-xylene recovery, A novel superstructure for the overall crystallization process and a mixed-integer nonlinear programming (MINLP) model are proposed. The distinct feature of this superstructure is the capability of generate optimum flowsheets for a wide range of specifications of p-xylene composition in the feed stream of the process. To cope with the complexity of the MINLP model a two-level decomposition approach consisting of the solution of an aggregated model and a detailed model is proposed. The results obtained show a good performance of the decomposition strategy and a modest improvement in the total annual profit.

Original languageEnglish (US)
Title of host publication2007 AIChE Annual Meeting
StatePublished - 2007
Externally publishedYes
Event2007 AIChE Annual Meeting - Salt Lake City, UT, United States
Duration: Nov 4 2007Nov 9 2007

Other

Other2007 AIChE Annual Meeting
CountryUnited States
CitySalt Lake City, UT
Period11/4/0711/9/07

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Chemistry(all)

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