Sparse regression approach to modelling the effect of ionic liquid acidity in biomass fractionation
File(s)
Published version
Author(s)
Nisar, Suhaib
Seidner, Sarah
Brandt-Talbot, Agnieszka
Hallett, Jason P
Chachuat, Benoît
Type
Conference Paper
Abstract
Fractionation of lignocellulosic biomass is a crucial step to provide cellulose, lignin, and hemicellulose for further processing. This paper is concerned with modelling biomass fractionation using the ionoSolv process, which employs low-cost ionic liquid water mixtures, with a special focus on describing the effect of acid:base ratio of the mixture on process performance. We build on an existing semi-mechanistic modelling framework describing the solvent extraction of three main biopolymers from woody biomass for varying fractionation temperature, time, and solids loading. Since the effect of acidity is poorly understood from a mechanistic standpoint, we use sparse regression with lasso regularisation to incorporate it in the semi-mechanistic model. We investigate both polynomial and exponential functional forms and find that the latter yields more physically-consistent results. This enabled us to recalibrate the parameters of the combined semi-mechanistic and sparse data-driven models simultaneously to accurately predict the effect of varying acid:base ratio. This hybrid modelling framework opens new opportunities for further analysis and optimisation of ionic liquid-based biomass fractionation processes.
Date Issued
2025-08-13
Date Acceptance
2025-06-01
Citation
IFAC-PapersOnLine, 2025, 59 (6), pp.73-78
ISSN
2405-8963
Publisher
Elsevier BV
Start Page
73
End Page
78
Journal / Book Title
IFAC-PapersOnLine
Volume
59
Issue
6
Copyright Statement
© 2025 The Authors. This is an open access article under the CC BY-NC-ND license.
Source
14th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2025:
Publication Status
Published
Start Date
2025-06-16
Finish Date
2025-06-19
Coverage Spatial
Bratislava, Slovakia
Date Publish Online
2025-08-13