Optimizing operating conditions involves a combination of experimental trials and computational modeling. Techniques such as Design of Experiments (DoE) and response surface methodology can be employed to systematically study the effects of various parameters and their interactions. Advanced modeling tools can also predict the optimal conditions based on kinetic and thermodynamic data.
