Another advantage of building a process model, such as this, is the opportunity to perform further in silico optimization. As an example, optimization was performed using the NSGA-II algorithm to find a Pareto front of the two opposing objectives: conversion and space-time yield (Figure ). Points in red show the Pareto front, which is a series of optimal points showing the trade-off between the two objectives. A large number of random results (gray points) were also generated to demonstrate that none of these would surpass the Pareto front. Following this optimal front, a maximum space-time yield of 3.2 kg L -1 h -1 of 6 can be achieved when ensuring conversion >95%. Should a higher conversion of >99% be required, a maximum spacetime yield of 1.9 kg L -1 h -1 of 6 would be attainable. It should be noted that this type of analysis can readily be carried out for any desired combination of objectives. The corresponding process setpoints can be obtained and utilized in future experiments.