Quantifying the importance of flow maldistribution in numbered-up microreactors

David Fernandes del Pozo, Timothy, Van Daele, Daan Van Hauwermeiren, Krist Gernaey, Ingmar Nopens

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This article develops a methodology for quantifying the impact of flow maldistribution on theoverall performance of a numbered-up microreactor system. The methodology consists of thesimulation of multiple plug-flow microreactors in parallel where each microreactor is fed with acertain fraction of the total inlet flow. The modelling approach tests different flow maldistributionscenarios and quantifies their impact on the overall performance. This methodology can also befurther used to study a configuration with N-microreactors in parallel, and to evaluate the sensitivityof the reaction under study. The methodology is applied to two cases: 1) a test case, consistingof a first-order kinetic model, and 2) a case consisting of a conversion of benzylacetone and isopropylamineinto 1-methyl-2-phenylpropylamine and acetone catalyzed by an aminotransferase.The methodology was found to be very flexible and could be used to identify potential bottlenecksand opportunities in the numbering-up approach.
Original languageEnglish
Title of host publication Proceedings of the 26th European Symposium on Computer Aided Process Engineering
EditorsZdravko Kravanja, Miloš Bogataj
Volume38
PublisherElsevier
Publication date2016
Pages1225–1230
ISBN (Print)978-0-444-63428-3
DOIs
Publication statusPublished - 2016
Event26th European Symposium on Computer-Aided Process Engineering - Grand Hotel Bernardin Congress Centre, Portorož , Slovenia
Duration: 12 Jun 201615 Jun 2016
http://escape26.um.si/

Conference

Conference26th European Symposium on Computer-Aided Process Engineering
LocationGrand Hotel Bernardin Congress Centre
Country/TerritorySlovenia
CityPortorož
Period12/06/201615/06/2016
Internet address
SeriesComputer Aided Chemical Engineering
Volume38
ISSN1570-7946

Keywords

  • Mathematical modelling
  • Kinetics
  • Methodology
  • Overall performance
  • Uncertainty analysis

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