Room Temperature Dynamic Control and Energy-saving System

Abstract

According to statistics, the energy consumption of building air conditioning system operation accounts for about 50% of the energy consumption in the building operation phase. Therefore, reducing the energy consumption of building air conditioning systems is of great significance for building energy conservation. The traditional air conditioning system sets a constant temperature during operation and then adopts the PID control method to gradually approach this target value. This method does not take into account dynamic factors such as the building environment, personnel activities, and startup equipment rates, resulting in a large waste of energy consumption and poor comfort. This paper proposes a solution combining the Internet of Things and a heuristic optimization algorithm, in which the Internet of Things is responsible for collecting real-time parameters, and the optimization algorithm is responsible for solving the optimal control strategy, to realize intelligent real-time dynamic adjustment of indoor temperature. By comparing the actual operation results, it can be seen that the control system can reduce power consumption by about 10% and increase user satisfaction by about 8%.