A multi-level methodology for conceptual reaction-separation process design

Patrick Linke, Antonis C. Kokossis

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Generic technology is presented for the optimal screening of reaction and separation process interactions. The proposed scheme enables the use of particularly rich superstructure formulations that are comprised of two types of generic synthesis units with flexible representation modes. A reaction unit enables a detailed representation of the reaction and a conceptual representation of separation systems is facilitated through separation task units. Possible process design interactions are embedded in the superstructure formulations as combinations of generic units. The design options are explored using stochastic optimisation techniques suitable for this class of problems. The synthesis scheme supports the decision making process in early process design stages and prepares problem definitions for later stages. Conceptual screening functionalities reveal design insights into the performance of complex reaction-separation systems based on the limited modelling information available early in design. This enables the identification and inclusion of the relevant design information into the superstructure formulations employed in the subsequent design stages.

Original languageEnglish
Article number2
JournalChemical Product and Process Modeling
Volume2
Issue number3
Publication statusPublished - 17 May 2007
Externally publishedYes

Fingerprint

Process Design
Process design
Methodology
Unit
Screening
Formulation
Synthesis
Stochastic Optimization
Interaction
Optimization Techniques
Inclusion
Decision making
Decision Making
Design
Modeling

Keywords

  • Conceptual design
  • Optimisation
  • Process synthesis
  • Reaction
  • Separation
  • Systems engineering

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Modelling and Simulation

Cite this

A multi-level methodology for conceptual reaction-separation process design. / Linke, Patrick; Kokossis, Antonis C.

In: Chemical Product and Process Modeling, Vol. 2, No. 3, 2, 17.05.2007.

Research output: Contribution to journalArticle

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