Schmölder J, Kaspereit M (2020)
Publication Language: English
Publication Type: Journal article, Original article
Publication year: 2020
Book Volume: 8
Article Number: 65
DOI: 10.3390/pr8010065
A framework is introduced for the systematic development of preparative chromatographic processes. It is intended for the optimal design of conventional and advanced concepts that exploit strategies like recycling, side streams, bypasses, using single or multiple columns, and combinations thereof. The Python-based platform simplifies the implementation of new processes and design problems by decoupling design tasks into individual modules for modelling, simulation, assertion of cyclic stationarity, product fractionation, and optimization. Interfaces to external libraries provide flexibility regarding the choice of column model, solver, and optimizer. The current implementation, named \emph{CADET-Process}, uses the software \emph{CADET} for solving the model equations. The structure of the framework is discussed and its application for optimal design of existing and identification of new chromatographic operating concepts is demonstrated by case studies.
APA:
Schmölder, J., & Kaspereit, M. (2020). A Modular Framework for the Modelling and Optimization of Advanced Chromatographic Processes. Processes, 8. https://dx.doi.org/10.3390/pr8010065
MLA:
Schmölder, Johannes, and Malte Kaspereit. "A Modular Framework for the Modelling and Optimization of Advanced Chromatographic Processes." Processes 8 (2020).
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