A superstructure representation, generation, and modeling framework for chemical process synthesis

Wen Zhao Wu, Carlos A. Henao, Christos T. Maravelias

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

We present a framework for the efficient representation, generation, and modeling of superstructures for process synthesis. First, we develop a new representation based on three basic elements: units, ports, and conditioning streams. Second, we present four rules based on “minimal” and “feasible” component sets for the generation of simple superstructures containing all feasible embedded processes. Third, in terms of modeling, we develop a modular approach, and formulate models for each basic element. We also present a canonical form of element models using input/output variables and constrained/free variables. The proposed methods provide a coherent framework for superstructure-based process synthesis, allowing efficient model generation and modification.

Original languageEnglish (US)
Pages (from-to)3199-3214
Number of pages16
JournalAIChE Journal
Volume62
Issue number9
DOIs
StatePublished - Sep 2016
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Environmental Engineering
  • Chemical Engineering(all)

Keywords

  • mixed-integer nonlinear programming
  • optimization

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