On the systematic extraction of knowledge in process synthesis and chemical process design

Claudia Labrador-Darder, Antonis C. Kokossis, Patrick Linke

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The paper presents a systematic approach for the extraction, interpretation and exploitation of design knowledge in process synthesis. Knowledge is developed in the course of superstructure optimisation. Semantic models (ontologies) and analytical tools are combined to simplify the superstructures and interpret solutions. In the course of the search the method translates intermediate solutions and upgrades the superstructure model. The approach supports a faster implementation and a transparent interpretation of the solutions. Results are presented for the synthesis problem of reactor networks, essentially addressing the challenges of a multi-level optimization problem. Although presented with stochastic optimization techniques, the proposed method is applicable to general types of models and optimization methods.

Original languageEnglish
Title of host publication17th European Symposium on Computer Aided Process Engineering
Pages267-272
Number of pages6
Volume24
DOIs
Publication statusPublished - 2007
Externally publishedYes

Publication series

NameComputer Aided Chemical Engineering
Volume24
ISSN (Print)15707946

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Keywords

  • clustering
  • decision-making.
  • Knowledge
  • ontology
  • superstructure optimization

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Labrador-Darder, C., C. Kokossis, A., & Linke, P. (2007). On the systematic extraction of knowledge in process synthesis and chemical process design. In 17th European Symposium on Computer Aided Process Engineering (Vol. 24, pp. 267-272). (Computer Aided Chemical Engineering; Vol. 24). https://doi.org/10.1016/S1570-7946(07)80068-X