Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery

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

Abstract

A rising number of diabetes patients and the urgent need for novel biotechnological process solutions are the instigation for this work. A biorefinery concept based on the valorization of the hemicellulosic sugar fraction is proposed by producing the sugar substitute xylitol. Its process design is supposed to be performed via superstructure optimization (SSO). In order to assess the viability, the downstream process unit operations are analyzed by a comprehensive uncertainty and sensitivity analysis. Monte Carlo methods and the easyGSA framework are applied. The output is twofold: the uncertainty in the output is assessed and shows improvement potential for the xylitol yield by serial crystallization and the sensitivity analysis of operational parameters indicates a serial crystallization in the downstream process. Overall, the biorefinery concept is viable and can contribute to the development of sustainable value chains.
Original languageEnglish
Title of host publicationProceedings of the 30th European Symposium on Computer Aided Process Engineering
EditorsSauro Pierucci, Flavio Manenti, Guilia Bozzano, Davide Manca
Volume48
PublisherElsevier
Publication date2020
Pages1663-1668
ISBN (Electronic)978-0-12-823377-1
DOIs
Publication statusPublished - 2020
Event 30th European Symposium on Computer Aided Process Engineering (ESCAPE 30) - Virtual symposium, Milano, Italy
Duration: 31 Aug 20202 Sep 2020

Conference

Conference 30th European Symposium on Computer Aided Process Engineering (ESCAPE 30)
LocationVirtual symposium
Country/TerritoryItaly
CityMilano
Period31/08/202002/09/2020
SeriesComputer Aided Chemical Engineering
ISSN1570-7946

Keywords

  • Biorefinery
  • Monte Carlo Methods
  • Surrogate Modelling
  • Process Design
  • Optimization

Fingerprint

Dive into the research topics of 'Surrogate Modelling Based Uncertainty and Sensitivity Analysis for the Downstream Process Design of a Xylitol Biorefinery'. Together they form a unique fingerprint.

Cite this