scalability issues

How Does Reactor Design Impact Scalability?

Reactor design is crucial for the successful scale-up of catalytic processes. Differences in fluid dynamics, mixing patterns, and heat transfer rates between laboratory and industrial reactors can lead to variations in reaction rates and selectivity. For example, fixed-bed reactors used in laboratories may not directly translate to the same performance in a large-scale fluidized bed reactor. Computational fluid dynamics (CFD) modeling is often employed to predict and optimize these parameters at different scales.

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