We present case studies in which AI methods have been used in conjunction with first-principles models to analyze and optimize industrial systems.

• reinforcement learning for a heating system control vs. model predictive control vs. rule based control
• optimized process control of a cement production plant
• water quality assessment and prediction

The focus is on the practical application of the methods with regard to energy savings and decarbonization.