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Implementation of predictive control in a commercial building energy management system using neural networks

Autor
Macarulla, M.; Casals, M.; Forcada, N.; Gangolells, M.
Tipus d'activitat
Article en revista
Revista
Energy and buildings
Data de publicació
2017-09-15
Volum
151
Pàgina inicial
511
Pàgina final
519
DOI
https://doi.org/10.1016/j.enbuild.2017.06.027 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/106961 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0378778817300907 Obrir en finestra nova
Resum
Most existing commercial building energy management systems (BEMS) are reactive rule-based. This means that an action is produced when an event occurs. In consequence, these systems cannot predict future scenarios and anticipate events to optimize building operation. This paper presents the procedure of implementing a predictive control strategy in a commercial BEMS for boilers in buildings, and describes the results achieved. The proposed control is based on a neural network that turns on the b...
Citació
Macarulla, M., Casals, M., Forcada, N., Gangolells, M. Implementation of predictive control in a commercial building energy management system using neural networks. "Energy and buildings", 15 Setembre 2017, vol. 151, p. 511-519.
Paraules clau
Boiler management, Building energy management system, Energy savings, Neural networks
Grup de recerca
GRIC - Grup de Recerca i Innovació de la Construcció