In this project, we collect data from multiple temperature measurements and gas analysers and use AI tools to develop a multivariable control system.This leads to a more energy-efficient process, a longer service life for the catalyst as well as improved selectivity and yields. The data also helps to improve existing process-simulations and kinetic models. Both affect the cost-effectiveness and sustainability of the overall process due to model-based predictive control, predictive maintenance or co-simulation to enable far-reaching optimisation
Dr. Andreas Menne, head of Low Carbon Technologiesdepartment at Fraunhofer UMSICHT