Model predictive control for heat flexibility activation of the Thermally Activated Building System

Abstract

The Thermally Activated Building System (TABS) can provide high thermal comfort level and utilize the low temperature energy resources efficiently. And it has great energy flexibility which offers the possibility of load shifting. However, the large building thermal mass of the TABS systems also provides many challenges for indoor temperature control. In order to minimize the costs and maximize the utilization of energy flexibility, an economic model predictive control (EMPC) strategy is developed by the authors and applied to the TABS system of a near-zero energy building in Tianjin. And compared with the RBC control strategy.The results show that EMPC has a lower energy price cost.