Application of distributed model predictive approaches to temperature and CO2 concentration control in buildings

S.S.W. Walker, W. Lombardi, S. Lesecq, S. Roshany-Yamchi

Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelpeer review

11 Citaten (Scopus)
1 Downloads (Pure)

Samenvatting

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.

Originele taal-2Engels
Pagina's (van-tot)2589-2594
Aantal pagina's6
TijdschriftIFAC-PapersOnLine
Volume50
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - 1 jul 2017
Evenement20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, Frankrijk
Duur: 9 jul 201714 jul 2017
Congresnummer: 20
https://www.ifac2017.org/

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