Online identification of adsorption isotherms in SMB processes via efficient moving horizon state and parameter estimation
In this paper, a concept to identify the adsorption isotherm of Simulated Moving Bed processes online during the operation is proposed. The influence of model parameters on the measurements is analyzed by a sensitivity analysis which enables to identify the set of parameters that can be estimated si...
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| Hauptverfasser: | , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
13 July 2010
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| In: |
Computers & chemical engineering
Year: 2010, Jahrgang: 34, Heft: 12, Pages: 1969-1983 |
| ISSN: | 0098-1354 |
| DOI: | 10.1016/j.compchemeng.2010.07.005 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.compchemeng.2010.07.005 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S009813541000253X 
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| Verfasserangaben: | Achim Küpper, Leonard Wirsching, Moritz Diehl, Johannes P. Schlöder, Hans Georg Bock, Sebastian Engell |
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| 520 | |a In this paper, a concept to identify the adsorption isotherm of Simulated Moving Bed processes online during the operation is proposed. The influence of model parameters on the measurements is analyzed by a sensitivity analysis which enables to identify the set of parameters that can be estimated simultaneously. The parameters are estimated in real-time by a moving horizon state and parameter estimation scheme. Numerical simulations of validated models for separation problems with nonlinear isotherms of Langmuir type are presented. Furthermore, it is it shown that a structural plant/model mismatch in the void fraction can be compensated to a large extent by modifying the Henry coefficients of the adsorption isotherm such that the estimated model can be used in the context of online optimizing control. | ||
| 650 | 4 | |a Adsorption isotherm identification | |
| 650 | 4 | |a Moving horizon estimation | |
| 650 | 4 | |a Real-time application | |
| 650 | 4 | |a Real-time iteration | |
| 650 | 4 | |a Simulated Moving Bed chromatography | |
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