Energy-Saving Control of Air Conditioning Water System Based on Improved NSGA-II Algorithm

The energy consumed by the HVAC system to maintain thermal comfort inside the building accounts for more than 50% of its energy consumption. The water system is the core of the HVAC system, and unreasonable control of the water system will lead to a significant amount of energy consumption. Therefore, research on energy-saving control of the water system is very important. Currently there are many optimization methods used for energy-saving control of air-conditioning water systems, but there is still a lack of research on optimization methods that ensure both indoor comfort and energy-saving effects, and most studies only focus on the control of one side of the water system. In response to the above problems, an improved non-dominant sorting genetic algorithm II (NSGA-II) method is proposed to optimize the operating parameters on both sides of chilling and cooling, so as to control both sides of the water system. The method is guided by the predicted load value, experimented on the simstore simulation platform, and compared with the fixed water supply temperature control of the air-conditioning water system and the unimproved NSGA-II algorithm control. The results show that the control strategy proposed in this paper has achieved an average energy-saving rate of 11.58% in the air-conditioning water system, and the thermal comfort has increased by 2.24%.