In this section
@inbook{Nisar:2024:10.1016/B978-0-443-28824-1.50422-1,
author = {Nisar, S and Brandt-Talbot, A and Hallett, JP and Chachuat, B},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-443-28824-1.50422-1},
pages = {2527--2532},
title = {Semi-mechanistic modelling of ionic liquid-based biomass fractionation},
url = {http://dx.doi.org/10.1016/B978-0-443-28824-1.50422-1},
year = {2024}
}
TY - CHAP
AB - Fractionation of lignocellulosic biomass is a crucial step to provide cellulose, lignin, and hemicellulose for further processing. This work focuses on modelling the fractionation of woody biomass using the ionoSolv process, which employs low-cost ionic liquid water mixtures. We model a simple reaction network to describe the solvent-extraction of three main biopolymers from solid lignocellulosic biomass. We estimate the corresponding kinetic parameters and their credibility intervals using Bayesian parameter estimation and then exploit the calibrated model for a multi-criterion analysis employing three process metrics: glucan (cellulose) recovery, hemicellulose removal, and lignin removal (delignification). Specifically, we construct a probabilistic design space by propagating the model parameter uncertainty, with a view to predicting a feasible operating window for key process variables (pretreatment time, temperature and solids loading) to meet certain thresholds for each metric. Overall, the development of semi-mechanistic models provides a novel framework for the analysis and optimisation of ionic liquid-based biomass pretreatment.
AU - Nisar,S
AU - Brandt-Talbot,A
AU - Hallett,JP
AU - Chachuat,B
DO - 10.1016/B978-0-443-28824-1.50422-1
EP - 2532
PY - 2024///
SP - 2527
TI - Semi-mechanistic modelling of ionic liquid-based biomass fractionation
T1 - Computer Aided Chemical Engineering
UR - http://dx.doi.org/10.1016/B978-0-443-28824-1.50422-1
ER -