The comparison of some advanced control methods for energy optimization and comfort management in buildings

The purpose of this paper is to provide a control method to optimize energy consumption in buildings. A building in Tehran has been modeled considering one day and one month, as an example. The Proportional-Integral-Derivative (PID) control algorithms tuned by the fuzzy rule set, On-Off, and fuzzy logic control system are implemented on the hybrid solar-gas-electric thermal system in order to control the indoor temperature as well as the economic optimization of energy consumption. Also, the two methods of water reservoir and Phase Change Material (PCM) reservoir are used to store the excess solar energy received. The results show that the fuzzy logic control system, in addition to setting the ambient temperature with an error of less than 1%, reduces the cost of energy supply. It also uses the power supply properly so that the cost of energy consumed is reduced to 35% of the initial value compared to a system without an energy storage source. Furthermore, this algorithm has the ability to control the ambient temperature in unstable atmospheric conditions with the temperature error rate of less than 4%. Moreover, implementation of fuzzy controller decreases supply energy cost 12% monthly.