modeling and control electric and heating sources in a building using mpc

Saving energy in various sections of the building and improving productivity in the face of energy crisis and environmental pollution can be one of the main challenges in the world and our country. in this paper, based on the necessity of controlling and minimizing energy consumption by considering the maximum optimal temperature conditions in different areas of the building, a control method based on the predictive controller is used, which takes into account the effects of the time of use for sources. the predictive controller predicts the optimal control input for future moments according to the definition of the cost function based on the ambient temperature error and the weighted expression of the control input. in this paper, the issue of optimization is thoroughly studied, evaluated, and simulated. the temperature change model in buildings and the proposed control scheme are implemented in matlab software and the system is simulated using the building environment. the simulation is performed under several different scenarios of time of use and conditions to show the performance of the proposed design. based on the results of the proposed control method, the accuracy and performance of the model in different scenarios of building conditions are acceptable.