A synergistic study on dynamic regulation and energy efficiency of air source heat pump-capillary network radiant heating system based on human body adaptive regulation

• Elevating water supply temperature (30 ℃–40 ℃) reduces thermal response time, with each 1 ℃ increase raising energy consumption by 6.29%, quantified through experimental and simulation analysis. • Capillary network top-plate heating achieves a 15.91% energy savings compared to four-wall heating while maintaining equivalent thermal comfort, validated via numerical simulations. • A novel TRNSYS simulation model integrating PMV-PPD dynamic thermal comfort assessment is developed, overcoming limitations of static evaluation methods. • A quantitative relationship model between water supply temperature, thermal response time, and energy consumption is established, providing a theoretical basis for optimizing system performance. The air source heat pump-capillary network radiant heating system has garnered significant interest in building heating; however, current research has yet to establish a systematic conclusion regarding the impact of the system’s water supply temperature on the indoor thermal environment and the optimal placement of the capillary network. This paper presents the thermal response data of the system at water supply temperatures ranging from 30 ℃ to 40 ℃ obtained through experimental tests; establishes a dynamic thermal comfort evaluation system utilizing thermodynamic theory; and conducts numerical simulations of two installation methods across seven water supply conditions from 26 ℃ to 38 ℃ (in 2 ℃ increments) using TRNSYS software. The findings indicate that employing top-plate heating and elevating the water supply temperature can reduce the system’s thermal response time; it quantifies the principle that each 1 ℃ rise in temperature results in a 6.29% increase in energy consumption; and it verifies that capillary network top-plate heating can attain an energy savings rate of 15.91% compared to four-wall heating while maintaining equivalent thermal comfort indices in the room. This study presents the inaugural construction of a TRNSYS simulation model that incorporates PMV-PPD dynamic thermal comfort assessment, overcoming the constraints of conventional static evaluation methods. By developing a quantitative relationship model between water supply temperature, thermal response time, and energy consumption, it establishes a novel theoretical framework for system regulation.