Exploratory research on the field application of solar assisted air source heat pump system for rural buildings in Xinjiang

• Published in: Journal of Asian architecture and building engineering Vol. 22; no. 1; pp. 303 - 316
• Main Authors: Li, Jie, Wang, Mingkang, Xu, Xin
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 02-01-2023; Taylor & Francis Group
• Subjects: air source heat pump; energy consumption; financial analysis; Flat-plate collectors; thermal comfort
• ISSN: 1346-7581; 1347-2852
• DOI: 10.1080/13467581.2021.2024434

A time-controlled solar assisted air source heat pump (SAHP) system was proposed in accordance with the climate characteristics of Xinjiang. Combined with an actual project of rural office building in Xinjiang, the time-controlled SAHP system test study was carried out . Test results showed that, on a typical day in the slightly cold period (SCP), the heat collection efficiency of the solar collectors was 68.12%, the solar energy utilization rate was 84.22%, and the indoor temperature increased by 5.2°C. On a typical day in the bitter cold period (BCP), the time-controlled SAHP system could provide more than 70% of the heating consumption. Furthermore, the feasibility of the time-controlled SAHP system was evaluated based on the data of the SAHP system and the traditional coal-fired boiler system in the same period. In comfort, the indoor temperature maintained at 14-20.2°C, and the average temperature was 18°C. In economy, the coal consumption of the time-controlled SAHP system was 18.34 kg/m
2
during the heating period, which was 25.0% of that of the traditional heating method. In environmental protection, the time-controlled SAHP system could reduce CO
2
emissions by 149.10 kg/m
2
, NO
x
emissions by 4.47 kg/m
2
, and SO
2
emissions by 2.24 kg/m
2
during the heating period.
A feasible SAHP system for rural areas in Xinjiang has been clarified
An experimental study was carried out to verify comfort and economy.
Operating characteristics of the various parts have been analyzed.
The influence of climate on the system has been discussed.
Curves fitted by statistical data show a better prediction performance.