Reactor modeling is vital for several reasons: 1. Optimization: It allows for the optimization of reaction conditions, such as temperature, pressure, and catalyst concentration, to maximize yield and selectivity. 2. Scale-Up: It provides insights necessary for scaling up laboratory experiments to industrial-scale processes. 3. Understanding Mechanisms: It helps in understanding the underlying mechanisms of catalytic reactions, which can lead to the development of more efficient catalysts. 4. Cost Efficiency: It reduces the need for extensive experimental trials, saving both time and resources.
