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Forced periodic operations of a chemical reactor for methanol synthesis – The search for the best scenario based on Nonlinear Frequency Response Method. Part I Single input modulations
•Quantifying forced periodic operation of chemical reactor.•Analysis by the Nonlinear Frequency Response method.•Methanol synthesis in isothermal and isobaric lab-scale CSTR.•Single input modulations (partial pressures of all reactants and volumetric flow-rate)•No significant improvement could be ob...
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Published in: | Chemical engineering science 2022-02, Vol.248, p.117134, Article 117134 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Quantifying forced periodic operation of chemical reactor.•Analysis by the Nonlinear Frequency Response method.•Methanol synthesis in isothermal and isobaric lab-scale CSTR.•Single input modulations (partial pressures of all reactants and volumetric flow-rate)•No significant improvement could be obtained with single input modulations.
In this two-part paper a comprehensive study of the potential to improve performance criteria of a methanol synthesis reactor through forced periodical operations is presented. The study uses the Nonlinear Frequency Responsemethod, a powerful analytical and approximate tool which gives an answer whether and under which conditions certain periodic operation would lead to improvement of process performance. To demonstratethe method, isothermal and isobaric methanol synthesis in a lab-scale CSTR is considered. In Part I, the analysis is performed for single input modulations. Partial pressures of each reactantin the feed stream and the total inlet volumetric flow-rate are considered as possible modulated inputs. The results show that modulations of single inputs essentially do not provide potential for significant improvements. In Part II, the study will be extended to analysis of periodic operations with simultaneous modulations of two inputs and conditions offering significant performance enhancements will be identified. |
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ISSN: | 0009-2509 1873-4405 |
DOI: | 10.1016/j.ces.2021.117134 |