Proposing a novel theoretical optimized model for the combined dry and steam reforming of methane in the packed-bed reactors

摘要: A packed-bed reactor was modeled for combined dry and steam reforming (CDSR) simulated using a two-dimensional heterogeneous model at steady-state condition. The outputs showed good agreement with experimental data. effects of important operational parameters such as feed temperature, pressure, molar flow, CO2/CH4 H2O/CH4 ratios on methane conversion H2/CO ratio in synthesis gas were also evaluated. Afterward, the modified artificial neural network (ANN) used approximating results simulation high accuracy. ANN show that predicted values are those model, suggesting successfully developed to capture correlation between operation conditions, conversion, gas. Finally, multi-objective optimization based hybrid non-dominated sorting genetic algorithm-II (NSGA-II) carried out find best-operating conditions methanol production Fischer–Tropsch reaction desired about two So, main objectives CDSR providing output