Digital twin technologies create a virtual replica of a physical catalytic system, allowing for real-time monitoring, simulation, and optimization. These digital twins can be used to predict the performance of catalytic reactors, optimize operating conditions, and identify potential issues before they occur. By integrating sensor data and machine learning algorithms, digital twins provide a powerful tool for improving the efficiency and reliability of catalytic processes.
