Study on Fuzzy Control for Air-To-Water Heat Pumps Connected to a Residential Floor Heating System

Abstract

Reducing the supplied water temperature of the air-to-water heat pump to meet the building heat demand can greatly improve the efficiency of the heat pump unit and give full play to the advantages of energy saving and comfort of the floor radiant heating system with an air-to-water heat pump. Based on the variation of ambient temperature and ambient temperature, the domain of fuzzy control is optimized by particle swarm optimization (PSO), and the optimal fuzzy control table is established to adjust the supplied water temperature of the air-to-water heat pump. A transient simulation model of floor radiant heating system for a typical 100 m2 building in China cold regions was developed by using TRNSYS software, and this heating system is simulated by the fuzzy control variable supplied water temperature and the conventional 45°C supplied water control in the whole heating season. The simulation results show that the system energy consumption is saved by 15.9% and SCOP increased by 18.9% by using this fuzzy control compared with the conventional 45°C supplied water control in the whole heating season under the premise of ensuring stable room temperature. Comparing conventional 45°C supplied water control, the fuzzy control can reduce CO2 emissions by 4.3 kg/m2, 4.7 kg/m2, 5.6 kg/m2, 5.2 kg/m2, and 4.9 kg/m2 in Zhengzhou, Qingdao, Beijing, Taiyuan, and Zhangjiakou, respectively.