This paper deals with the problem of minimizing the electricity bill of smart buildings equipped with centralized heating systems and thermal and electrical storage devices. Building participation in a Demand-Response program in the form of price-volume signals is also considered. The proposed solution is based on a Model Predictive Control approach to operate the heating system and the storage devices in an optimal fashion, under thermal comfort and technological constraints.

Bianchini, G., Casini, M., Pepe, D., Vicino, A., Zanvettor, G.G. (2017). An integrated MPC approach for demand-response heating and energy storage operation in smart buildings. In Proceedings of the 56th IEEE Conference on Decision and Control (pp.3865-3870). New York : IEEE [10.1109/CDC.2017.8264228].

An integrated MPC approach for demand-response heating and energy storage operation in smart buildings

Bianchini, Gianni;Casini, Marco;Pepe, Daniele;Vicino, Antonio;Zanvettor, Giovanni Gino
2017-01-01

Abstract

This paper deals with the problem of minimizing the electricity bill of smart buildings equipped with centralized heating systems and thermal and electrical storage devices. Building participation in a Demand-Response program in the form of price-volume signals is also considered. The proposed solution is based on a Model Predictive Control approach to operate the heating system and the storage devices in an optimal fashion, under thermal comfort and technological constraints.
978-1-5090-2873-3
Bianchini, G., Casini, M., Pepe, D., Vicino, A., Zanvettor, G.G. (2017). An integrated MPC approach for demand-response heating and energy storage operation in smart buildings. In Proceedings of the 56th IEEE Conference on Decision and Control (pp.3865-3870). New York : IEEE [10.1109/CDC.2017.8264228].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1030798