Methane super dry reforming (MSDR) is a promising technology for sustainable hydrogen production and greenhouse gas utilization. However, its industrial application is hindered by high energy demand and catalyst deactivation due to carbon deposition. This study aims to optimize bi-dispersed porous catalysts for MSDR through particle-resolved simulation, focusing on the effects of micropore diameter, macropore fraction, and total porosity. A mathematical model incorporating continuity, momentum, species transport, and energy equations was established to simulate the performance of the catalysts. Hierarchical pore structures significantly enhance methane and carbon dioxide conversion rates, which reach 85% and 80% under optimized catalyst conditions, respectively. This improvement leads to increased hydrogen yield and selectivity, while simultaneously reducing carbon deposition. Our study identifies optimal macropore fractions (0.4) and micropore diameters (2 nm) that effectively balance diffusion and reaction kinetics, thereby maximizing catalyst performance. Tailored hierarchical designs of bi-dispersed catalysts are crucial for advancing MSDR technology and have great potential for industrial-scale hydrogen production.
Read full abstract