Deussen, P;
Galvanin, F;
(2021)
On the practical identifiability of kinetic models of hydroxymethylfurfural hydrogenation in batch reaction systems.
In:
Computer Aided Chemical Engineering.
(pp. pp. 859-865).
Elsevier
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Abstract
Hydroxymethylfurfural (HMF) is an organic compound that occurs in numerous foods and is used as feedstock in a variety of chemical processes. HMF can be hydrogenated to form 2,5-Dimethylfuran (DMF), which is an important component in biofuel production. Several kinetic models have been proposed in literature for this hydrogenation reaction, including power law and Langmuir-Hinshelwood-Hougen-Watson (LHHW) models based on reaction species. A critical aspect to address is the parametric identifiability in these models, i.e. the correct estimation of model parameters from experimental data. In this paper, a two-step identifiability approach is proposed exploiting model-based design of experiments (MBDoE) techniques to assess the identifiability of candidate kinetic models of HMF hydrogenation at variable experimental conditions in a batch reaction system. Information maps indicate the most informative regions of the experimental design space to be used to precisely estimate the kinetic model parameters.
| Type: | Proceedings paper |
|---|---|
| Title: | On the practical identifiability of kinetic models of hydroxymethylfurfural hydrogenation in batch reaction systems |
| Event: | 31st European Symposium on Computer-Aided Process Engineering |
| Location: | Istanbul, Turkey |
| Dates: | 05 June 2021 - 11 June 2021 |
| ISBN-13: | 9780323885065 |
| DOI: | 10.1016/B978-0-323-88506-5.50134-0 |
| Publisher version: | https://doi.org/10.1016/B978-0-323-88506-5.50134-0 |
| Language: | English |
| Keywords: | identifiability analysis, model-based design of experiments, kinetics of HMF hydrogenation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10130148 |
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