On minimal models of process systems

R. Lakner, K. Hangos, I. T. Cameron

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Minimal representations are known to have no redundant elements, and are therefore of great importance. Based on the notions of performance and size indices and measures for process systems, the paper proposes conditions for a process model being minimal in a set of functionally equivalent models with respect to a size norm. Generalized versions of known procedures to obtain minimal process models for a given modelling goal, model reduction based on sensitivity analysis and incremental model building are proposed and discussed. The notions and procedures are illustrated and compared on a simple example, that of a simple nonlinear fermentation process with different modelling goals and on a case study of a heat exchanger modelling.

Original languageEnglish
Pages (from-to)1127-1142
Number of pages16
JournalChemical Engineering Science
Volume60
Issue number4
DOIs
Publication statusPublished - Feb 2005

Fingerprint

Fermentation
Sensitivity analysis
Heat exchangers

Keywords

  • Minimal models
  • Model indices
  • Modelling: Model reduction
  • Nonlinear dynamics
  • Systems engineering

ASJC Scopus subject areas

  • Chemical Engineering(all)

Cite this

On minimal models of process systems. / Lakner, R.; Hangos, K.; Cameron, I. T.

In: Chemical Engineering Science, Vol. 60, No. 4, 02.2005, p. 1127-1142.

Research output: Contribution to journalArticle

Lakner, R. ; Hangos, K. ; Cameron, I. T. / On minimal models of process systems. In: Chemical Engineering Science. 2005 ; Vol. 60, No. 4. pp. 1127-1142.
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