Predictive models simulate the catalytic process under various conditions, providing valuable insights into how different parameters affect the reaction. These models can be based on empirical data, first-principles, or a combination of both. They are particularly useful for scale-up processes, where laboratory-scale data is used to predict industrial-scale performance.