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Systematic model-based dynamic optimization of a combined cooling and antisolvent multistage continuous crystallization process
chapterposted on 2021-07-19, 10:55 authored by Jiaxu Liu, Brahim BenyahiaBrahim Benyahia
A rigorous and systematic methodology was developed to optimize multistage combined cooling and antisolvent continuous MSMPR (mixed-suspension, mixed-product removal) crystallizers. The crystallization of aspirin (acetylsalicylic acid, ASA) in ethanol (solvent) and water (antisolvent) was used as a case study. A validated mathematical model of the system was firstly used to optimize the steady state performance followed by the development of several optimizations strategies aiming at the minimization of the start-up time using optimal dynamic profiles of antisolvent addition, cooling temperature, seeding flowrate and the combination of these decision variables. The start-up scenarios were also considered in the case of initially prefilled and empty vessels. Using the proposed dynamic optimization strategies, it was predicted that the start-up time can be reduced by up to 70%, which represents a significant gain in time, cost and environmental performance.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Chemical Engineering
Published in31st European Symposium on Computer Aided Process Engineering: ESCAPE-31
Pages1221 - 1227
Source31st European Symposium on Computer Aided Process Engineering (ESCAPE-31)
- AM (Accepted Manuscript)
Rights holder© Elsevier
Publisher statementThis book chapter was accepted for publication in the book series Computer Aided Chemical Engineering, volume 50, and the definitive published version is available at https://doi.org/10.1016/B978-0-323-88506-5.50188-1.
Book seriesComputer Aided Chemical Engineering; 50