A Prioritized Satellite Task Scheduling Model Based on the Fewer Observation Opportunities

The turbulent nature of catalytic reactions has been well reported. For some reactions, the higher the rate of turbulence, the faster the reaction process. This paper focus on the review of various research works where turbulence models were employed in promoting and advancing study and knowledge of catalysis or catalytic reaction systems (such as fixed bed reactor, trickle bed reactor, combustor, among others) or processes in the twentieth centuries. It also draws attention to several fluid computational dynamics package employed in the simulation and different contributions that have been made in advancing research in the field of catalysis via turbulence modeling. The essence of these is to enhance effective and efficient reactant access to the active sites of the catalyst. This study, however, shows that models such as k–e and RSM turbulence models are better suited for predicting or studying turbulence behavior in a catalytic reaction. It was realized that apart from selecting the turbulence model, appropriate selection of the kinetic model plays a significant role in promoting accurate prediction when carrying out simulations. However, this study was able to identify that only a few research works have given attention to the right and appropriate use or selection of a kinetic model for catalytic reaction systems.

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