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The life cycle of the catalyst is further complicated by numerous technical, environmental and organizational issues. Catalyst deactivation through various mechanisms is essentially a complex chemical and physical process. Alfa Chemistry Catalysts can provide customers with catalyst life prediction services, combined with the rich experience of our professional and technical personnel to provide you with analysis reports and suggestions, and help customers provide more ideas in catalyst development and performance improvement.
According to the relationship between the porous catalyst and the main catalytic reaction, its activity decay mechanism can be conveniently divided into four categories [1]:
(a) Parallel inactivation, such as poisoning or scaling due to deposition of by-products of the main reaction;
(b) Continuous or continuous inactivation, such as poisoning or fouling due to continuous decomposition of the main reaction product;
(c) Parallel inactivation, such as poisoning or scaling of raw material impurities;
(d) Independent deactivation, such as those structural transformations or sintering processes that occur at the reaction temperature, has nothing to do with fluid composition.
The ability to perform detailed analysis of the catalytic process and its deactivation phenomena is essential to maintain high productivity and product quality. A hybrid model combining first-principles models and artificial neural networks (ANN) has been used to develop a general framework to simulate industrial fixed-bed catalytic reactors (FBCR) undergoing catalyst deactivation. The model can predict the life of industrial Pd/C and CuO-ZnO-Al2O3 catalysts and the impact of operating parameters on the hydrogenation purification process and methanol production reactor.
Figure 1. The methodology for FBCR hybrid modeling. [2]
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