Abstract

In this second part of the paper dedicated to energy management in buildings a Distributed Model Predictive Control strategy is proposed in order to tackle the control problem of a large building submitted to global power limitations and disposing of a storage device (electrical battery). The proposed scheme is based on previously designed Model Predictive Controllers responsible of managing the comfort quantities at the zone level. The proposed framework addresses the case of power specific limitations and dynamically varying prices. Numerical simulations are proposed for a realistic buildings model including 20 zones in order to assess the efficiency and the real time implementability of the proposed framework.

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