Simulations aid in process optimization by allowing researchers to test various scenarios and identify the best operating conditions. By modeling different parameters such as temperature, pressure, and feed composition, they can determine the optimal conditions for maximum yield and selectivity. This reduces the time and cost associated with experimental trials and leads to more efficient and sustainable processes.
