1. Despite the potential of lignocellulosic biomasses to offer versatile and alternative resources, it is still challenging to harvest the materials effectively due to their complicated structure.
2. In collaboration with our experimental partners, we developed and validated a multiscale model that enables tracking the spatial and temporal evolution of biomass.
3. Since key process outputs such as Kappa number, lignin/cellulose degree of polymerization, lignin monomer ratio, and other cell wall properties are not directly measurable during operation, we designed a model-based feedback controller to estimate these variables and obtain the desired product quality.
2. In collaboration with our experimental partners, we developed and validated a multiscale model that enables tracking the spatial and temporal evolution of biomass.
3. Since key process outputs such as Kappa number, lignin/cellulose degree of polymerization, lignin monomer ratio, and other cell wall properties are not directly measurable during operation, we designed a model-based feedback controller to estimate these variables and obtain the desired product quality.
Literature:
S. Pahari, J. Kim, H.-K. Choi, M. Zhang, A. Ji, C.G. Yoo, and J.S.-I. Kwon, “Multiscale kinetic modeling of biomass fractionation in an experiment: Understanding individual reaction mechanisms and cellulose degradation”, Chem. Eng. J., 2023, 467, 143021. DOI: 10.1016/j.cej.2023.143021
J. Jung, H.-K. Choi, S.H. Son, J.S.-I. Kwon, and J.H. Lee, “Multiscale modeling of fiber deformation: Application to a batch pulp digester for model predictive control of fiber strength”, Comp. & Chem. Eng., 2022, 158, 107640. DOI: 10.1016/j.compchemeng.2021.