Modelling and Simulation of Supercritical CO2 Oil Extraction from Biomass

The aim of this work is to model the kinetics of the supercritical CO2 extraction of oils from biomass, namely from industrial grape seeds and chia seeds. A model introduced by Sovova and Stateva (2015) is used and solved using gPROMS ModelBuider. The supercritical extraction experiments performed a...

Full description

Saved in:
Bibliographic Details
Published inComputer Aided Chemical Engineering Vol. 46; pp. 1615 - 1620
Main Authors Filipe, Rui M., Coelho, José A.P., Villanueva-Bermejo, David, Stateva, Roumiana P.
Format Book Chapter
LanguageEnglish
Published 2019
Subjects
chia seeds
extraction kinetics
Grape seeds
mathematical modelling
supercritical CO2 extraction
supercritical CO2 extraction
mathematical modelling
extraction kinetics
Grape seeds
chia seeds
Online AccessGet full text

Cover

More Information
Summary:The aim of this work is to model the kinetics of the supercritical CO2 extraction of oils from biomass, namely from industrial grape seeds and chia seeds. A model introduced by Sovova and Stateva (2015) is used and solved using gPROMS ModelBuider. The supercritical extraction experiments performed at different temperature, pressure and flow rate conditions, provide the data to the modelling studies and for model parameter estimation, using gPROMS parameter estimation. The partition coefficient and the maximum oil content corresponding to monolayer adsorption was estimated and the absolute average relative deviation between the experimentally measured and simulated extraction curves for the cases examined is within the range (1-9) %, which may be considered as a good agreement taking into consideration the very complex nature of the systems under study.
ISBN:9780128186343
0128186348
ISSN:1570-7946
DOI:10.1016/B978-0-12-818634-3.50270-8