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Application of Distributed Model Predictive Approaches to Temperature and CO2 Concentration Control in Buildings

Publié le 29 mars 2018
Application of Distributed Model Predictive Approaches to Temperature and CO2 Concentration Control in Buildings
Auteurs
Walker S.S.W., Lombardi W., Lesecq S., Roshany-Yamchi S.
Year2017-0326
Source-TitleIFAC-PapersOnLine
Affiliations
Eindhoven University of Technology, Dpt of the Built Environment, Eindhoven, MB, Netherlands, Univ. Grenoble Alpes, CEA, LETI, Minatec Campus, Grenoble, France, NIMBUS, Centre for Embedded Systems Research Cork Institute of Technology, Cork, Ireland
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 CO2 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. © 2017
Author-Keywords
centralized, CO2 concentration, distributed, Energy management, Model Predictive Control, RC model, temperature
Index-Keywords
 
ISSN24058963
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