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Article

Optimization of Methanol Synthesis under Forced Periodic Operation

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Institute for Automation Engineering, Otto-von-Guericke University, Universit ätsplatz 2, D-39106 Magdeburg, Germany
2
Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Njegoševa 12, 11000 Belgrade, Serbia
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Max-Planck-Institut für Dynamik Komplexer Technischer Systeme Sandtorstrasse 1, D-39106 Magdeburg, Germany
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Department of Chemical Engineering, Faculty of Technology and Metallurgy, University of Belgrade Karnegijeva 4, 11000 Belgrade, Serbia
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Institute for Process Engineering, Otto-von-Guericke University, Universit ätsplatz 2, D-39106 Magdeburg, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Francesco Parrino
Processes 2021, 9(5), 872; https://doi.org/10.3390/pr9050872
Received: 19 April 2021 / Revised: 11 May 2021 / Accepted: 12 May 2021 / Published: 15 May 2021
(This article belongs to the Special Issue Redesign Processes in the Age of the Fourth Industrial Revolution)
Traditionally, methanol is produced in large amounts from synthesis gas with heterogeneous Cu/ZnO/Al2O3 catalysts under steady state conditions. In this paper, the potential of alternative forced periodic operation modes is studied using numerical optimization. The focus is a well-mixed isothermal reactor with two periodic inputs, namely, CO concentration in the feed and total feed flow rate. Exploiting a detailed kinetic model which also describes the dynamics of the catalyst, a sequential NLP optimization approach is applied to compare optimal steady state solutions with optimal periodic regimes. Periodic solutions are calculated using dynamic optimization with a periodicity constraint. The NLP optimization is embedded in a multi-objective optimization framework to optimize the process with respect to two objective functions and generate the corresponding Pareto fronts. The first objective is the methanol outlet flow rate. The second objective is the methanol yield based on the total carbon in the feed. Additional constraints arising from the complex methanol reaction and the practical limitations are introduced step by step. The results show that significant improvements for both objective functions are possible through periodic forcing of the two inputs considered here. View Full-Text
Keywords: methanol synthesis; forced periodic operation; nonlinear optimization; multi-objective optimization; Pareto front methanol synthesis; forced periodic operation; nonlinear optimization; multi-objective optimization; Pareto front
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MDPI and ACS Style

Seidel, C.; Nikolić, D.; Felischak, M.; Petkovska, M.; Seidel-Morgenstern, A.; Kienle, A. Optimization of Methanol Synthesis under Forced Periodic Operation. Processes 2021, 9, 872. https://doi.org/10.3390/pr9050872

AMA Style

Seidel C, Nikolić D, Felischak M, Petkovska M, Seidel-Morgenstern A, Kienle A. Optimization of Methanol Synthesis under Forced Periodic Operation. Processes. 2021; 9(5):872. https://doi.org/10.3390/pr9050872

Chicago/Turabian Style

Seidel, Carsten, Daliborka Nikolić, Matthias Felischak, Menka Petkovska, Andreas Seidel-Morgenstern, and Achim Kienle. 2021. "Optimization of Methanol Synthesis under Forced Periodic Operation" Processes 9, no. 5: 872. https://doi.org/10.3390/pr9050872

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