| Título |
Selective Distributed Model Predictive Control For Comfort Satisfaction in Multi-Zone Buildings |
| Autores |
Roshany-Yamchi, Samira , Witheepanich, Kritchai , ESCAÑO GONZÁLEZ, JUAN MANUEL, McGibney, Alan , Rea, Susan |
| Publicación externa |
No |
| Medio |
International Conference On System Theory Control And Computing |
| Alcance |
Proceedings Paper |
| Naturaleza |
Científica |
| Fecha de publicacion |
01/01/2017 |
| ISI |
000427419900107 |
| Abstract |
Distributed model predictive control (DMPC) for thermal regulation in multi-zone buildings continues to gain attention over centralized approaches. Particularly, centralized control approaches have been shown to become impractical when applied to large-scale buildings due to for example, computation complexity, modeling complexity of large buildings and availability of required sensor and actuator infrastructure. In this paper a novel selective DMPC algorithm is developed in which, each agent optimizes a cost function to minimize the control effort in order to save energy and satisfying the comfort bound. The proposed method is useful especially in building thermal regulation when the objective is to keep the temperature of each zone in the building within the defined comfort bound. |
| Palabras clave |
Distributed Model Predictive Control; Soft Constraint; Building Energy Management; Energy Optimization |
| Miembros de la Universidad Loyola |
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