Development of a Genetic Algorithm Tool for the Optimization of the Methanol Oxidation

Wang H. Haidn O. Abbasi M. Nugymanova A. Shvab J. Slavinskaya N.
February 2025 John Wiley and Sons Inc

Chemical Engineering and Technology
2025 #48 Issue 2

This work presents an automatic optimization tool using the genetic algorithm (GA) for the chemical kinetic model of methanol (CH₃OH) oxidation. A total of 54 parameters of 40 important reactions of the reaction model have been optimized. Ignition delay times measured in shock tubes, concentration profiles measured in plug flow reactors, and laminar flame speeds were used for the model validation. Compared to the results of the initial model, the optimized model exhibits a significantly improved predictive capability for the experimental targets. The GA tool developed in this study has been proven effective for optimizing detailed chemical kinetics models.

genetic algorithm , methanol , optimization , Reaction mechanism

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School of Engineering and Design, Technical University of Munich, Boltzmannstr.15, Garching, 85748, Germany
College of Engineering, Caspian Faculty of Engineering, Department of Mechanical Engineering and Energy Conversion, University of Tehran, North Kargar St., Tehran, 1417614411, Iran
Department Physics and Technology, al-Farabi Kazakh National University, al-Farabi Ave. 71, Almaty, 050040, Kazakhstan
Gesellschaft fur Anlagen-und Reaktorsicherheit GmbH, Boltzmannstr. 14, Garching, 85748, Germany

School of Engineering and Design
College of Engineering
Department Physics and Technology
Gesellschaft fur Anlagen-und Reaktorsicherheit GmbH

10 лет помогаем публиковать статьи Международный издатель

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