2014
DOI: 10.1016/j.ces.2014.05.004
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Multi-column chromatographic process development using simulated moving bed superstructure and simultaneous optimization – Model correction framework

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Cited by 30 publications
(16 citation statements)
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“…Kawajiri and Biegler (2006a) applied a full discretization approach in both spatial and temporal domains to convert the original model into a large-scale nonlinear programming (NLP) problem for asymmetric operation and cycle design (Kawajiri and Biegler, 8 2006b), and superstructure-based SMB synthesis with time-variant flow rates (Kawajiri and Biegler, 2006c;Kawajiri and Biegler, 2008). Kawajiri and co-workers (Bentley at al., 2013;Sreedhar and Kawajiri, 2014) developed a prediction-correction method using startup data, isotherm model selection, and parameter estimation to update SMB model parameters and remove model mismatch while performing process optimization. A novel surrogate-based and grey-box constrained optimization approach has been put forward by Hasan et al (2012b) to solve NAPDE models for cyclic separation processes, and has been applied to adsorption-based carbon capture (Hasan et al, 2013(Hasan et al, , 2014(Hasan et al, , 2015, natural gas purification (First et al, 2014) and hydrogen sulfide removal processes (Liu et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Kawajiri and Biegler (2006a) applied a full discretization approach in both spatial and temporal domains to convert the original model into a large-scale nonlinear programming (NLP) problem for asymmetric operation and cycle design (Kawajiri and Biegler, 8 2006b), and superstructure-based SMB synthesis with time-variant flow rates (Kawajiri and Biegler, 2006c;Kawajiri and Biegler, 2008). Kawajiri and co-workers (Bentley at al., 2013;Sreedhar and Kawajiri, 2014) developed a prediction-correction method using startup data, isotherm model selection, and parameter estimation to update SMB model parameters and remove model mismatch while performing process optimization. A novel surrogate-based and grey-box constrained optimization approach has been put forward by Hasan et al (2012b) to solve NAPDE models for cyclic separation processes, and has been applied to adsorption-based carbon capture (Hasan et al, 2013(Hasan et al, , 2014(Hasan et al, , 2015, natural gas purification (First et al, 2014) and hydrogen sulfide removal processes (Liu et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…However, also the suggestion of completely new and probably partly unexpected non‐trivial configurations can be envisaged. Promising applications of superstructure analysis are already used to evaluate and optimize the large spectrum of modified more flexible new SMB process configurations as shown in .…”
Section: Discussionmentioning
confidence: 99%
“…In the previous study, the optimal flow rates were sufficiently lower than the upper bound. The reduced flow rates suppress band broadening [40], which was validated experimentally [41]. Second, the addition of methanol in the mobile phase improved the retention of the solutes.…”
Section: Smb Design and Performance Evaluationmentioning
confidence: 95%