Optimal control of boiler system based on IoT and energy consumption simulation

The energy consumption of building heating in China is enormous and reducing heating energy consumption is of great significance to promote energy saving and emission reduction in China. A reasonable boiler heating strategy can effectively reduce heating energy consumption. This paper presents an optimal control method based on the IoT system and an interface that makes Energy Plus in the cloud server work together with the IoT system. The boiler can make corresponding adjustments to the outlet temperature according to weather conditions and other factors to achieve energy-saving. The results show that the intelligent control method proposed in this paper can reduce the boiler outlet temperature by 2-8 °C and can reduce energy consumption by about 15%.