Ohenoja, M., Uusitalo, P., Valkama, H., Rathnayake, B., Keiski, R. L., & Ruusunen, M. (2022). Dynamic modeling of diafiltration system for a biorefinery application. In L. O. Nord (Ed.), Proceedings of the 63rd International Conference of Scandinavian Simulation Society, SIMS2022, Trondheim, Norway, September 20-21, 2022 (pp. 125–131). Linköping university electronic press. https://doi.org/10.3384/ecp192018
Dynamic modeling of diafiltration system for a biorefinery application
|Author:||Ohenoja, Markku1; Uusitalo, Pekka1; Valkama, Hanna1;|
1Environmental and Chemical Engineering Research Unit, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022113068163
Linköping University Electronic Press,
|Publish Date:|| 2022-11-30
Application of membrane technologies in biorefinery processes has been studied for some time. The heterogenous nature of biorefinery steams, however, results in unideal performance of membrane systems and considerable fouling of membranes, which is decreasing the efficiency of separation. As a part of BioSPRINT project, this study focuses on application of separating monomeric sugars from the hemicelluloses fraction of lignocellulosic biomass, where pressure-driven nanofiltration with several diafiltration stages has been proposed for the separation task. Diafiltration is required to overcome the decreased separation efficiency when the retentate concentrations and viscosity increases. A lumped parameter dynamical model of the diafiltration plant is applied. The key model parameters are identified from experimental data from a laboratory membrane unit to reflect the considered biorefinery process. The model is then simulated to study the sensitivity of the uncertain model parameters (related to membrane fouling, solute concentrations, viscosity, and mass transfer coefficients) to the diafiltration plant performance (product purity, operation time). The model is implemented in the MATLAB®/Simulink environment. The simulation results are expected to identify potential sources of scale-up challenges in biorefinery-related membrane applications. The developed dynamic model also allows to investigate different operational strategies of diafiltration plants in the future.
Linköping electronic conference proceedings
|Pages:||125 - 131|
Proceedings of the 63rd international conference of Scandinavian simulation society, SIMS2022, Trondheim, Norway, September 20-21, 2022
|Host publication editor:||
Nord, Lars O.
International Conference of Scandinavian Simulation Society
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
215 Chemical engineering
This project has received funding from the Bio-based Industries Joint Undertaking (JU) under the European Union’s Horizon 2020 research and innovation program under grant agreement no. 887226. The JU receives support from the European Union’s Horizon 2020 research and innovation program and the Bio-based Industries Consortium.
|EU Grant Number:||
(887226) BioSPRINT - Improve biorefinery operations through process intensification and new end products
Copyright (c) 2022 Markku Ohenoja, Pekka Uusitalo, Hanna Valkama, Buddhika Rathnayake, Riitta L. Keiski, Mika Ruusunen. This work is licensed under a Creative Commons Attribution 4.0 International License.