The proposed paper aims at defining a Building Management System (BMS) able to control energy flows inside a smart building integrated with various energy networks and Renewable Energy Resources (RES). The smart building envisaged in this work interacts with different energy carriers and is equipped with cogeneration and RES systems, as well as storage devices, which enable a certain degree of flexibility in the energy usage. The smart building is modelled as a multi-carrier hub, by defining the graphical and mathematical model of the building system. Moreover, the control criteria of the BMS are explained and the implementation of the BMS itself is depicted, along with some early results. The core of this management system is a heuristic optimization process aimed at scheduling energy generation and consumption profiles over 24 hours. Finally, an overview on a district level control is given.
Arnone, D., Croce, V., Paternò, G., Rossi, A., Emma, S., Miceli, R., et al. (2016). Energy management of multi-carrier smart buildings for integrating local renewable energy systems. In 2016 IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016 (pp.845-850). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICRERA.2016.7884455].
Energy management of multi-carrier smart buildings for integrating local renewable energy systems
Paternò, G.
;Miceli, R.
;Di Tommaso, A. O.
2016-01-01
Abstract
The proposed paper aims at defining a Building Management System (BMS) able to control energy flows inside a smart building integrated with various energy networks and Renewable Energy Resources (RES). The smart building envisaged in this work interacts with different energy carriers and is equipped with cogeneration and RES systems, as well as storage devices, which enable a certain degree of flexibility in the energy usage. The smart building is modelled as a multi-carrier hub, by defining the graphical and mathematical model of the building system. Moreover, the control criteria of the BMS are explained and the implementation of the BMS itself is depicted, along with some early results. The core of this management system is a heuristic optimization process aimed at scheduling energy generation and consumption profiles over 24 hours. Finally, an overview on a district level control is given.
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