Abstract
With China’s ambitious goals of carbon capping by 2030 and carbon neutrality by 2060, the multi-energy coupled clean heating technology represented by solar-air source heat pumps is developing rapidly. In order to solve the above problems, this paper analyzes the characteristics of the multi-energy coupled heating system by establishing a virtual simulation model and optimizing the system operation and control modes. Technical support is provided for efficiently utilizing multi-energy coupled heating technology in rural buildings.In this paper, the mathematical model of the system is established by analyzing the form and working principle of the solar-air source heat pump coupled heating system. Initially, three operation strategies are constructed: priority utilization of solar energy strategy (Strategy I), air source heat pump fixed temperature switching strategy (Strategy II), and air source heat pump timed switching strategy (Strategy III), laying the foundation for operation strategy optimization.The dynamic load change pattern of the building in winter was calculated using TRNSYS software, based on which equipment selection was carried out, and a simulation model of the solar-air source heat pump coupled heating system was established. The system operation strategy was optimized. A temperature difference control strategy was used for the solar collector cycle control optimization, which increased the solar collector efficiency by 12% compared to the fixed temperature control strategy. Based on typical climate data, the heating season was divided into 10 phases according to a 15-day cycle, and three operation strategies were optimized and compared for each phase with the goal of comprehensive system energy efficiency. After comparison and analysis, strategy 1 and 3 have their advantages in different stages of the heating season. The operation strategies with higher system energy efficiency in each stage were combined in the heating season, called combined operation strategy (strategy 4), and compared with other strategies in the heating season. Compared with strategy 1 and strategy 3 in the whole heating season, the system energy efficiency of strategy 4 was improved by 3%-6%. This indicates that strategy 4 has better operation effect.
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