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

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.
- Grenoble Alpes University France
- UNIVERSITE PARIS DESCARTES France
- CEA LETI France
- French Institute for Research in Computer Science and Automation France
- Munster Technological University Ireland
RC model, Energy management, temperature, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.AUTO] Engineering Sciences [physics]/Automatic, Control and Systems Engineering, [ SPI.AUTO ] Engineering Sciences [physics]/Automatic, SDG 7 - Affordable and Clean Energy, distributed, CO concentration, centralized, CO$_2$ concentration, SDG 7 – Betaalbare en schone energie, Model Predictive Control
RC model, Energy management, temperature, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.AUTO] Engineering Sciences [physics]/Automatic, Control and Systems Engineering, [ SPI.AUTO ] Engineering Sciences [physics]/Automatic, SDG 7 - Affordable and Clean Energy, distributed, CO concentration, centralized, CO$_2$ concentration, SDG 7 – Betaalbare en schone energie, Model Predictive Control
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).20 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
