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

Research output: Contribution to journalConference articlepeer-review

10 Citations (Scopus)
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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.

Original languageEnglish
Pages (from-to)2589-2594
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
Publication statusPublished - 1 Jul 2017
Event20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, France
Duration: 9 Jul 201714 Jul 2017
Conference number: 20
https://www.ifac2017.org/

Keywords

  • centralized
  • CO concentration
  • distributed
  • Energy management
  • Model Predictive Control
  • RC model
  • temperature

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