Application of Distributed Model Predictive Approaches to Temperature and $CO_2$ Concentration Control in Buildings

Abstract : In the context of energy consumption reduction, this paper focuses on the application of Model Predictive Control to occupants' thermal comfort together with indoor air quality control while improving the whole building energy efficiency. First, an open-space office split in three zones, located in Cork Institute of Technology, is modeled. A centralized MPC is designed to control the temperature and $CO_2$ concentration in the three zones. Then, a distributed version of the MPC, with three separate local controllers, is considered. Finally, simulation results show that the distributed MPC solution achieves control performance quite close to the centralized version with less computing effort.
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Communication dans un congrès
IFAC world Congress 2017, Jul 2017, Toulouse, France. IFAC world Congress, 2017, Proceedings of the IFAC World Congress 2017
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Shalika S. W. Walker, Warody Lombardi, Suzanne Lesecq, Samira Roshany-Yamchi. Application of Distributed Model Predictive Approaches to Temperature and $CO_2$ Concentration Control in Buildings. IFAC world Congress 2017, Jul 2017, Toulouse, France. IFAC world Congress, 2017, Proceedings of the IFAC World Congress 2017. 〈cea-01564058〉

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