4.7 Article

Unveiling the complexity of non-oxidative coupling of methane: A simplified kinetics approach

Journal

CHEMICAL ENGINEERING JOURNAL
Volume 470, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2023.144216

Keywords

Reaction mechanism generator; Mechanism reduction; Non-oxidative methane conversion; Reaction network; Aromatic coke

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This study developed a detailed mechanism for non-oxidative coupling of methane (NOCM), consisting of 1,112 species and 106,877 gas-phase reactions. A reduced mechanism with 178 species and 9,695 reactions was obtained, focusing on four target products. The evaluation of methane conversion and species concentration revealed the significant impact of temperature and pressure.
This study presents the generation and optimization of a detailed mechanism for the non-oxidative coupling of methane (NOCM), consisting of 1,112 species and 106,877 gas-phase reactions using Reaction Mechanism Generator. A mechanism reduction, performed in the Ansys Workbench, focused on four target products and employed various reduction methods, yielding an optimal skeletal mechanism of 178 species and 9,695 gasphase reactions. Methane conversion and species concentration were evaluated using Chemkin-pro software, accounting for six independent variables, with temperature and pressure exhibiting the most significant impact. We observed that the formation rate of light hydrocarbons is higher at the initial position of the reaction, whereas aromatic hydrocarbons form more readily as reactor length increases and temperatures rise. Therefore, tailored reactor size and reaction conditions could improve the yield of C2 products under NOCM conditions. Further, a smaller reactor size at high temperatures and low pressure may optimize the formation of light hydrocarbons. Through sensitivity analyses, we identified critical reactions for product formation and aromatic coke precursors, thereby providing insights into gas-phase non-oxidative methane conversion. Further optimization studies are needed to investigate parameter interactions, aiming for optimal conversion with higher yields of target species and minimal aromatic coke precursors. These findings can inform effective reactor design and optimization strategies.

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