Title: Model predictive control for thermal house comfort with limited energy resources
Authors: Filipe Barata , José Igreja , Rui Neves-Silva
Abstract: 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.
Publication date: 2012-07-16
Online entry date: 2013-05-08
Conference: CONTROLO’2012
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