EventsThe 5th International Electronic Conference on Processes
Published
This submission belongs to the session S2. Chemical Processes and Systems of the event The 5th International Electronic Conference on Processes
Published date
15 Oct, 2026
Academic Editor
author-avatarBlaž Likozar
Citation
Bekzod Eshkulov, Behzod Farmonov, Ruzimurod Jurayev, Variny Miroslav, Adham Norkobilov, Process Modeling and Optimization of a Catalytic Reactor for Syngas Production via Dry Reforming of Methane, in Proceedings of The 5th International Electronic Conference on Processes, 20 October–22 October 2026, MDPI: Basel, Switzerland
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Process Modeling and Optimization of a Catalytic Reactor for Syngas Production via Dry Reforming of Methane

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Adham Norkobilov 2
1. Transport and Civil Engineering Faculty, Karshi State Technical University, Karshi city, 180119, Uzbekistan
2. Department of “Chemical Engineering and Quality Management”, Karshi State Technical University Shahrisabz Faculty of Food Engineering, 20, Shakhrisabz str., Shakhrisabz 181306, Uzbekistan
3. Department of Chemical and Bio Engineering, Slovak University of Technology, 812 37 Bratislava, Slovakia.
Abstract

Dry reforming of methane (DRM) represents a promising catalytic route for the co-utilization of two major greenhouse gases CH4 and CO2 to produce synthesis gas (syngas, H2/CO), a versatile intermediate for Fischer-Tropsch synthesis and chemical manufacturing. Despite its thermodynamic favorability at elevated temperatures, the DRM process is challenged by severe catalyst deactivation through coke deposition and sintering, as well as significant endothermicity requiring precise thermal management. This study presents a steady-state process model of a DRM catalytic reactor developed in Aspen Plus, incorporating a rigorous plug flow reactor (PFR) module coupled with published Langmuir–Hinshelwood kinetic expressions for Ni-based catalysts. The model accounts for simultaneous occurrence of the reverse water-gas shift (RWGS) reaction and carbon formation pathways. A parametric study is performed over a temperature range of 700–950°C, pressures of 1-5 bar, and CH4/ CO2 feed ratios of 0.8–1.2 to evaluate their influence on CH4 and CO2 conversions, H2/CO product ratio, and equilibrium carbon deposition tendency. Process optimization is subsequently conducted using a sensitivity analysis framework to maximize syngas yield while minimizing thermodynamic driving force for coking. Additionally, heat duty requirements and potential integration with a recuperative heat exchanger network are examined to assess the feasibility of energy-efficient operation. The simulation results are validated against published experimental benchmarks, demonstrating satisfactory agreement within ±8% deviation for conversion metrics. The findings provide a computational basis for the rational design and scale-up of DRM reactor systems, contributing to the broader development of sustainable chemical processes for carbon recycling.

Keywords
DRM
syngas production
catalytic reactor modeling
Aspen Plus
coke formation
process optimization
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