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Kinetic Modeling of Direct Methane Chlorination in Both Free-Radical and Catalytic Reactions
  • Kim, Yeojin ;
  • Woo, Yesol ;
  • Park, Hyeon ;
  • Kim, Youngmin ;
  • Chae, Ho Jeong ;
  • Park, Myung June
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Publication Year
2022-02-16
Publisher
American Chemical Society
Citation
Industrial and Engineering Chemistry Research, Vol.61, pp.2434-2442
Mesh Keyword
Catalytic chlorinationCatalytic reactionsData meanFree-radical reactionsGas-phasesKinetic modelsKinetics parameterMethyl chloridesReaction mechanism]+ catalyst
All Science Classification Codes (ASJC)
Chemistry (all)Chemical Engineering (all)Industrial and Manufacturing Engineering
Abstract
This paper proposes a kinetic model of the chlorination of methane in the presence of a catalyst. As the reaction involves both gas-phase and catalytic chlorination, the reaction mechanisms with and without the catalyst were considered in this study. Experiments were conducted for the case of the gas phase and with catalysts separately, and kinetic parameters for each phase were estimated independently by fitting the experimental data. The proposed model accurately describes the experimental data (means of absolute relative residual values for the conversions of CH4 and Cl2 and the selectivities of methyl chloride, dichloromethane, and trichloromethane were 9.60, 12.91, 7.79, 19.18, and 16.14%, respectively), in which the presence of the catalyst increased the conversion of methane, while it decreased the selectivity of methyl chloride, which is the desired product in this work. Further analysis showed that a high temperature increased the conversion and reduced the size of the reactor. The production rate of methyl chloride was strongly influenced by the methane fraction in the feed. An optimal fraction exists (70% methane) because an excess amount of methane decreased the conversion. Under optimal conditions, toxic chlorine was completely consumed. It was concluded that the developed model can be used to design an effective reactor for catalytic methane chlorination and determine the optimal operating conditions.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32532
DOI
https://doi.org/10.1021/acs.iecr.1c04009
Fulltext

Type
Article
Funding
This research was also supported by the C1 Gas Refinery Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science, ICT & Future Planning (no. NRF-2021M3D3A1A01082822).
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Park, Myung-June박명준
Department of Chemical Engineering
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