A quantitative comparison of different methods for air conditioning energy consumption prediction in residential buildings
|更新时间:2026-04-03
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A quantitative comparison of different methods for air conditioning energy consumption prediction in residential buildings
Energy and Built EnvironmentVol. 7, Issue 2, Pages: 408-423(2026)
作者机构:
1. Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University,Chongqing,China,400045
2. School of Civil Engineering, Chongqing University,Chongqing,China,400045
3. School of the Built Environment, University of Reading, Reading,UK,RG6 6AH
Chenqiu Du, Jingyun Ao, Baizhan Li, et al. A quantitative comparison of different methods for air conditioning energy consumption prediction in residential buildings[J]. Energy and Built Environment, 2026, 7(2): 408-423.
DOI:
Chenqiu Du, Jingyun Ao, Baizhan Li, et al. A quantitative comparison of different methods for air conditioning energy consumption prediction in residential buildings[J]. Energy and Built Environment, 2026, 7(2): 408-423. DOI: 10.1016/j.enbenv.2024.11.007.
A quantitative comparison of different methods for air conditioning energy consumption prediction in residential buildings
摘要
Abstract
urate evaluation of energy consumption of air conditioning (AC) is crucial to energy efficiency in residential buildings
while few studies evaluate quantitatively the differences of the currently used methods. This study aimed to assess two common methods for AC energy consumption evaluation
namely
top-down total energy disaggregation and bottom-up energy simulation
through comparing to field measurement. A longitudinal investigation was conducted in residences in Chongqing
a typical city in the Hot Summer and Cold Winter(HSCW) zone. The yearly daily electricity consumption of 18 residences were collected and wireless sensors and smart sockets were used for onsite measurement. The AC energy consumption was obtained by splitting the total electricity consumption and measurements. Moreover
three typical reference buildings were built for predicting the annual AC energy consumption. Results showed that the simulated AC energy consumption was about 2.76 times of the measured value; while it was about 2.89 times for the top-down disaggregation method. Some key factors influencing AC energy consumption (e.g.
indoor temperature distribution
opening duration
AC usage frequency) were identified for different methods. The work quantified the limitations of the top-down and bottom-up methods
contributing to the improvement of AC energy consumption evaluation methods and management of heating and cooling energy in residential buildings.