Optimization of domestic heating system by implementing model predictive control

The present study aims to investigate model predictive control in optimization of hybrid solar/gas heating system of buildings and reduction of energy used. In the article, a building has been investigated in a sample day of Tehran and model predictive control has been implemented using two heating sources of solar and gas energies. Afterward, its performance has been evaluated through redesign of this method for laboratory model and test implementation. Eventually, it was found that model predictive control has high performance in temperature setting in the range of comfort temperature for the considered day. On the other hand, according to laboratory test results, this method outperforms on-off controller and PID methods in temperature setting and can set the temperature in a time span 1/5 of mentioned methods.