TY  - JOUR
AU  - Seidel, Carsten
AU  - Nikolić, Daliborka
AU  - Felischak, Matthias
AU  - Petkovska, Menka
AU  - Seidel-Morgenstern, Andreas
AU  - Kienle, Achim
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4827
AB  - 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.
PB  - MDPI
T2  - Processes
T1  - Optimization of Methanol Synthesis under Forced Periodic Operation
VL  - 9
IS  - 5
SP  - 872
DO  - 10.3390/pr9050872
ER  - 

@article{
author = "Seidel, Carsten and Nikolić, Daliborka and Felischak, Matthias and Petkovska, Menka and Seidel-Morgenstern, Andreas and Kienle, Achim",
year = "2021",
abstract = "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.",
publisher = "MDPI",
journal = "Processes",
title = "Optimization of Methanol Synthesis under Forced Periodic Operation",
volume = "9",
number = "5",
pages = "872",
doi = "10.3390/pr9050872"
}

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

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

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