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.
Fostering sustainable industrial consumption patterns by real-time energy-aware optimization
Danial Ramin;Stefano Spinelli;Alessandro Brusaferri
2019
Abstract
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.File in questo prodotto:
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Descrizione: Fostering sustainable industrial consumption patterns by real-time energy-aware optimization
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