This paper investigates a system of nonlinear reaction-diffusion equations modeling the industrial synthesis of ammonia. By applying Lie group analysis, we construct self-similar solutions and derive a reduced system of ordinary differential equations. Using comparison principles and barrier techniques, we establish sufficient conditions for the existence of global-in-time solutions in both slow-diffusion (γi>0) and fast-diffusion (γi<0
Nearby in the stack
) regimes. Detailed asymptotic analysis near the diffusion front reveals power-law behavior of concentration profiles, with explicit expressions for the decay exponents. The theoretical results are illustrated by numerical simulations, demonstrating the spatio-temporal evolution of reactant concentrations under realistic parameter values. The study provides rigorous mathematical foundations for predicting and optimizing ammonia production in catalytic reactors, with potential extensions to other chemically reacting systems.