Biphasic Dehydration of Sugars to 5-Hydroxymethylfurfural and Furfural—Multiscale Modeling for Easier Optimization and More Accurate Solvent Selection

Abhimanyu Pudi, Martin Andersson, Seyed Soheil Mansouri*

*Corresponding author for this work

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

Abstract

An integrated and multiscale modeling framework is introduced to accurately model the biphasic dehydration of a mixed carbohydrate feed from typical lignocellulosic waste biomass to form 5-hydroxymethylfurfural and furfural. This modeling framework integrates computational chemistry into a process model, allowing for a greater exploration space for process design. Moreover, this multiscale model is used to demonstrate more accurate solvent selection that is in line experimental data, unlike the existing solvent screening methods. For this purpose, a pool of five commonly used organic solvents for this system are considered, which are 1-butanol, 2-butanol, methyl isobutyl ketone, 2-methyltetrahydrofuran, and tetrahydrofuran.
Original languageEnglish
Title of host publicationProceedings of the 14th International Symposium on Process Systems Engineering
EditorsYoshiyuki Yamashita, Manabu Kano
Place of PublicationAmsterdam
PublisherElsevier
Publication date2022
Pages685-690
ISBN (Electronic)978-0-443-18726-1, 978-0-323-85159-6
DOIs
Publication statusPublished - 2022
Event14th International Symposium on Process Systems Engineering (PSE 2021+) - Kyoto, Japan
Duration: 19 Jun 202223 Jun 2022

Conference

Conference14th International Symposium on Process Systems Engineering (PSE 2021+)
Country/TerritoryJapan
CityKyoto
Period19/06/202223/06/2022
SeriesComputer Aided Chemical Engineering
Volume49
ISSN1570-7946

Keywords

  • Green chemistry
  • Process intensification
  • Computational chemistry
  • Mathematical modeling
  • Lignocellulosic biomass valorization

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