Accurate and Scalable Prediction of a Fast and Highly Exothermic Nonlinear Reaction System: Reaction Development Using Coupled Simulation of a Mechanism-Oriented Kinetic Model and a Customized Heat Removal Model

A precise reaction prediction method by coupled simulations of a reaction kinetic model and a heat removal model is demonstrated, incorporating the development of the selective monobenzylation of unprotected aniline as a model reaction. To enhance the accuracy of the technique, the extrapolatable kinetic model is built based on a detailed understanding of the reaction mechanism of a nonlinear reaction system including equilibria before the rate-determining step (rds), and the heat removal model is carefully adjusted for small reaction vessels by combining the heat transfer coefficient and the heat inertia caused by the reactor system setup. The simulation showed high accuracy prediction in temperature trend within ± 2 K to experimentally measured values as well as for chemical yield of the reaction. This systematic approach will lead to useful methodology to evaluate the accuracy of coupled process simulations involving reaction models and also runaway risk prior to scale-up, especially for fast and highly exothermic reactions that raise safety concerns in industrial chemistry.

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Publication Details

Journal
Organic Process Research & Development
Published
2025-06-24
DOI
https://doi.org/10.1021/acs.oprd.5c00107
Citations
2
Primary Topic
Catalysis and Oxidation Reactions
Type
article
Field-Weighted Citation Impact
0.78

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article

Accurate and Scalable Prediction of a Fast and Highly Exothermic Nonlinear Reaction System: Reaction Development Using Coupled Simulation of a Mechanism-Oriented Kinetic Model and a Customized Heat Removal Model

Yuya Orito
2 citations
Organic Process Research & Development
Catalysis and Oxidation Reactions
0.78
article

Accurate and Scalable Prediction of a Fast and Highly Exothermic Nonlinear Reaction System: Reaction Development Using Coupled Simulation of a Mechanism-Oriented Kinetic Model and a Customized Heat Removal Model

Yuya Orito
article en
2 citations

Abstract

A precise reaction prediction method by coupled simulations of a reaction kinetic model and a heat removal model is demonstrated, incorporating the development of the selective monobenzylation of unprotected aniline as a model reaction. To enhance the accuracy of the technique, the extrapolatable kinetic model is built based on a detailed understanding of the reaction mechanism of a nonlinear reaction system including equilibria before the rate-determining step (rds), and the heat removal model is carefully adjusted for small reaction vessels by combining the heat transfer coefficient and the heat inertia caused by the reactor system setup. The simulation showed high accuracy prediction in temperature trend within ± 2 K to experimentally measured values as well as for chemical yield of the reaction. This systematic approach will lead to useful methodology to evaluate the accuracy of coupled process simulations involving reaction models and also runaway risk prior to scale-up, especially for fast and highly exothermic reactions that raise safety concerns in industrial chemistry.

Organic Process Research & DevelopmentVol. 29(7)
Daiichi-Sankyo (Japan) (JP)
Daiichi-Sankyo
Openalex Percentile: Top 30%
Catalysis and Oxidation Reactions
0.78
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