Increasing energy efficiency of a building with minimal computational demands using model predictive control

This work is a aggregated perspective of previous papers studying advanced control strategy applicable in intermittently heated buildings. This strategy mainly aims to optimize the energy efficiency of heating systems taking into consideration the minimization of the needful time and the computational resources necessary to this process. Model Predictive Control is the control strategy used in this work and the main purpose (ensuring maximum comfort with minimum energy consumption) is satisfied by using weather forecasts and building occupancy program. Several architectures presented can be used to implement the proposed solution. The main goal is to minimize the computational requirements achieving the best performance. To solve the problems from previous studies, this paper studied the solutions implemented on a single thermal zone and multiple thermal zones.