A DIGITAL TWIN OF A BUILDING’S HEATING AND AIR CONDITIONING SYSTEM FOR PREDICTIVE CONTROL UNDER LIMITED HEATING AND COOLING CAPACITY

This paper examines the theoretical and methodological formulation of a digital twin of a building’s heating and air conditioning system, designed for predictive control under conditions of variable available heating and cooling capacity. The relevance of this problem is determined by the fact that building operation accounts for a significant share of global final energy consumption, and limitations in heat input, electrical load, and the capacity of heat exchange equipment and refrigeration units directly impact the attainability of the specified temperature regime. A reduced two-volume model of the thermal dynamics of a room is proposed, discrete equations of state are derived, and a procedure for generating power constraints based on the flow-temperature relationships of hydraulic circuits is demonstrated.