Model predictive control for thermal house comfort with limited energy resources

Rui Neves-silva, DEE Group Author

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The way in which electricity networks operate is going through a period of significant change. Renewable generation technologies have a growing presence and are frequently being connected at distribution level. Unfortunately, a renewable energy source is frequently intermittent and any kW provided by these technologies should not be wasted. Currently, optimization of energy consumption is a world target and it is no longer feasible to design a system without considering it. In this paper, the methodologies applied to the thermal house comfort in an environment with limited energy sources are based on a predictive control structure associated to a PI controller. Thus, the available and necessary power to cool and heat the house within the desire “comfort zone” is partially available and, consequently constrained. The system also uses the house thermal inertia to “accommodate thermal energy” within the selected temperature range, maintaining the comfort when no energy is available and reducing the energy consumption without loss of the thermal comfort. The simulation results obtained with traditional PI and with Model-based Predictive Control (MPC) are presented and it can be seen that the system is able to provide high-energy conservation and reliable comfort.
Original languageUnknown
Title of host publicationProceedings of the CONTROLO’2012 Portuguese Conference on Automatic Control
Publication statusPublished - 1 Jan 2012
EventCONTROLO'2012 - 10th Portuguese Conference on Automatic Control -
Duration: 1 Jan 2012 → …


ConferenceCONTROLO'2012 - 10th Portuguese Conference on Automatic Control
Period1/01/12 → …

Cite this