Thermal comfort control using a non-linear MPC strategy: A real case of study in a bioclimatic building

• We implemented a hierarchical controller approach in order to control thermal comfort.
• The upper layer is formed by a non-linear MPC, the lower layer contains a PI.
• The non-linear model predictive controller uses a non-linear model of a room based on first principles.
• The proposed control strategy is tested in a real bioclimatic building.
• The hierarchical controller allows to maintain the user's welfare inside the building's rooms.

The aim to maintain thermal comfort conditions in confined environments may require complex regulation procedures and the proper management of an HVAC (heating, ventilation and air conditioning) system. This problem is being widely analyzed, since it has a direct effect on users’ productivity, and an indirect effect on energy saving. This paper presents a hierarchical thermal comfort control system with two layers. The upper layer includes a non-linear model predictive controller that allows to obtain a high thermal comfort level by optimizing the use of an HVAC system in order to reduce, as much as possible, the energy consumption. On the other hand, the lower layer is formed by a PID (proportional, integrative and derivative) controller with anti-windup function which is in charge of reach the setpoints calculated by the non-linear model predictive controller. In order to probe the effectiveness of the proposed control system, suitable real results obtained in a bioclimatic building are included and commented.