The objective is to define targets for reaction control using superstructure optimization and to bridging the gap between costly high-resolution CFD simulations and systemic models accessible for direct mathematical optimization. Specifically, optimization of reactor networks will be employed by coupling ideal reactors to determine an ideal reaction path and, in conjunction with detailed CFD simulations, to derive reduced compartment models that closely approximate the results of CFD calculations. Superstructure optimization thus serves as a tool for the optimal design of reactors and automatic model reduction. This approach will be further utilized in the project for the development and evaluation of SMART reactors that can be operated optimally under fluctuating process conditions, such as varying raw material quality and quantity.
