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Article

A Modular Framework for the Modelling and Optimization of Advanced Chromatographic Processes

Institute of Separation Science & Technology, Friedrich-Alexander University Erlangen-Nürnberg; Egerlandstraße 3, 91052 Erlangen, Germany
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Processes 2020, 8(1), 65; https://doi.org/10.3390/pr8010065
Received: 30 November 2019 / Revised: 20 December 2019 / Accepted: 23 December 2019 / Published: 3 January 2020
(This article belongs to the Special Issue Advanced Methods in Process and Systems Engineering)
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, such as 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 CADET-Process, uses the software 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. View Full-Text
Keywords: process design; optimization; preparative chromatography; column configuration; CADET-Process process design; optimization; preparative chromatography; column configuration; CADET-Process
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MDPI and ACS Style

Schmölder, J.; Kaspereit, M. A Modular Framework for the Modelling and Optimization of Advanced Chromatographic Processes. Processes 2020, 8, 65. https://doi.org/10.3390/pr8010065

AMA Style

Schmölder J, Kaspereit M. A Modular Framework for the Modelling and Optimization of Advanced Chromatographic Processes. Processes. 2020; 8(1):65. https://doi.org/10.3390/pr8010065

Chicago/Turabian Style

Schmölder, Johannes, and Malte Kaspereit. 2020. "A Modular Framework for the Modelling and Optimization of Advanced Chromatographic Processes" Processes 8, no. 1: 65. https://doi.org/10.3390/pr8010065

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