2006
DOI: 10.1021/ie051108w
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Use of Single-Column Models for Efficient Computation of the Periodic State of a Simulated Moving-Bed Process

Abstract: A mathematical framework for developing efficient methods to calculate the cyclic steady state (CSS) of the simulated moving-bed (SMB) process is established based on single-column models. The formulation and methods presented are equally applicable to recently developed SMB enhancements that vary some of the operating parameters during a switching interval. These include, among others, Varicol, PowerFeed, ModiCon, and modulation of solvent strength during process operation. The solution methods can be classif… Show more

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Cited by 34 publications
(18 citation statements)
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“…1 references solely column j , and that it is identical to the original node balance, except that y italici,j−1out ( t ) was replaced by y italicijout ( t ′). This substitution is legitimate, because it does not change the steady periodic solution 37, 38…”
Section: Methodsmentioning
confidence: 99%
“…1 references solely column j , and that it is identical to the original node balance, except that y italici,j−1out ( t ) was replaced by y italicijout ( t ′). This substitution is legitimate, because it does not change the steady periodic solution 37, 38…”
Section: Methodsmentioning
confidence: 99%
“…This model, which is described in Appendix B, retains all of the essential properties of the full Parex model—including the bed‐head dead volumes and bed lines—but is computationally much more efficient because its CSS solution can be efficiently computed using a full‐discretization approach. Although this approach has been previously used in simpler SMB models with a small number of columns, it was never applied to the industrial‐scale, 24‐column Parex process.…”
Section: Influence Of the Dead Volumes On The Performance Of The Parementioning
confidence: 99%
“…Hereby, the evaluation of the processes typically requires time-consuming numerical determinations of the cyclic steady-state concentration profiles. Various suggestions to obtain these results faster and more efficiently have been made (e.g., [20][21][22]). This interesting aspect as well as new and promising concepts to control SMB processes [e.g., [23][24][25][26], will not be further discussed here.…”
Section: Classical Simulated Moving Bed Chromatographymentioning
confidence: 99%