State Estimation in Fermentation of Lignocellulosic Ethanol. Focus on the Use of pH Measurements.

Miguel Mauricio Iglesias, Krist Gernaey, Jakob Kjøbsted Huusom

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

Abstract

The application of the continuous-discrete extended Kalman filter (CD-EKF) as a
powerful tool for state estimation in biochemical systems is assessed here. Using a
fermentation process for ethanol production as a case study, the CD-EKF can
effectively estimate the model states even when highly non-linear measurements such as pH are included. Several configurations of the CD-EKF are tested and it is seen that including pH, which is a readily available measurement in virtually every biochemical process, provides information that significantly improves the performance of the filter.
Original languageEnglish
Title of host publicationProceedings of the 25th European Symposium on Computer Aided Process Engineering
EditorsKrist V. Gernaey, Jakob K. Huusom, Rafiqul Gani
Volume37
PublisherElsevier
Publication date2015
Pages1769-1774
DOIs
Publication statusPublished - 2015
Event25th European Symposium on Computer Aided Process Engineering : 12th International Symposium on Process Systems Engineering - Copenhagen, Denmark
Duration: 31 May 20154 Jun 2015
http://www.pse2015escape25.dk/

Conference

Conference25th European Symposium on Computer Aided Process Engineering
Country/TerritoryDenmark
CityCopenhagen
Period31/05/201504/06/2015
Internet address
SeriesComputer Aided Chemical Engineering
ISSN1570-7946

Keywords

  • State estimation
  • Non-linear filtering
  • Fermentation
  • Lignocellulosic ethanol

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