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Study of thermal performance of air-source heat-pump heating for suburban residential buildings in Beijing

Citation

Yu, X and Lv, Q and Zhang, L and Wang, Xiaolin and Meng, X and Zong, Z, Study of thermal performance of air-source heat-pump heating for suburban residential buildings in Beijing, Science and Technology for the Built Environment, 26, (7) pp. 975-986. ISSN 2374-4731 (2020) [Refereed Article]

Copyright Statement

Copyright 2020 ASHRAE

DOI: doi:10.1080/23744731.2020.1746152

Abstract

In recent years, severe and persistent winter haze has appeared more frequently due to coal-combustion heating for residential buildings in the winter in northern China. To solve the problem, the Chinese government proposes to replace coal-combustion heating with electricity-driven air-source heat-pump heating. In this article, the performance of an air-source heat pump was studied for suburban residential building heating in the winter in Beijing, China. The heating load of a typical suburban residential building was evaluated using a building energy simulation program according to real weather data. The performance of the heat pump was then evaluated, and the electrical load for such building heating was analyzed based on the hourly ambient temperature and heating load of the studied building. Results showed that the highest electrical load occurred between 3:00 and 7:00 and the lowest electrical load appeared between 13:00 and 15:00. These results are helpful in guiding electrical load transfer in the power grid. Compared with coal-combustion heating, heat-pump heating could save 59% of annual operating cost and reduce the emission of CO2, SO2, and NOx by 54%, 78%, and 74%, respectively. This study is significant for wide applications of air-source heat-pump heating for suburban residential buildings in cities with weather like Beijing, China.

Item Details

Item Type:Refereed Article
Keywords:heating load, electric load, heat pump, energy efficiency, building heating
Research Division:Engineering
Research Group:Mechanical engineering
Research Field:Energy generation, conversion and storage (excl. chemical and electrical)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy systems and analysis
UTAS Author:Wang, Xiaolin (Professor Xiaolin Wang)
ID Code:138896
Year Published:2020
Web of Science® Times Cited:1
Deposited By:Engineering
Deposited On:2020-05-08
Last Modified:2021-03-19
Downloads:0

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