A generalized superstructure-based framework for process synthesis

Joonjae Ryu, Lingxun Kong, Arthur E. Pastore de Lima, Christos T. Maravelias

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

We propose a general framework for the formulation of superstructure-based optimization models for holistic process synthesis. First, we redefine the fundamental problems of reactor, separation, and heat exchanger network synthesis, by presenting generalized problem statements, to make them amenable to seamless integration with each other. Second, we describe the general forms of models that can be developed to address these generalized problems and identify some key characteristics. Notably, for each system, we identify internal variables used only within the system, cost variables used in the objective function, and, importantly, coupling variables for the coupling between systems. Third, we outline some literature models that can be used to address the generalized problems and present new models to couple the three systems. Finally, we show how the individual components (systems and coupling models) can be integrated to formulate a single simultaneous reactor, separation, and heat exchanger network synthesis.

Original languageEnglish (US)
Article number106653
JournalComputers and Chemical Engineering
Volume133
DOIs
StatePublished - Feb 2 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Keywords

  • Global optimization
  • Heat integration
  • Mixed-integer nonlinear programming
  • Process design
  • Reactors
  • Separations

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