Fostering sustainable industrial consumption patterns by real-time energy-aware optimization

Energy intensive processes are promising candidates for demand response (DR), however production optimization is the major barrier for participation. In this paper, we present an energy-aware optimization system developed at SCADA level. A mixed-integer optimization is formulated over a receding horizon, including the plant model, predicted energy consumption and production constraints. The approach is demonstrated on a metal casting process for tracking the contracted day-ahead base-load.