Enhancement of the catalytic performances under non-steady state conditions

The problem of optimal activity distribution in an nonisothermal catalyst pellet with a consecutive-parallel reaction scheme proceeding in a created nonsteady state conditions already studied in our previous paper [1], is now extended to the case where the temperature and the concentrations of the reactants inside the grain vary according to time. The same activity distribution, i.e., a Dirac δ function, as in the case of quasi-steady state, is also found optimal in this case. The studied perturbed system gives better catalytic performances for large periods compared to time characteristic of the catalytic process.