Factors influencing air conditioning energy consumption in hospitals
10.3969/j.issn.1671-332X.2025.11.013
- VernacularTitle:医院空调能耗关联影响因子研究
- Author:
Yudong MA
1
;
Farong LIN
;
Yangping LIU
;
Ling CHEN
Author Information
1. 中山大学附属第一医院 广东 广州 510062
- Publication Type:Journal Article
- Keywords:
Energy conservation;
Carbon peaking and carbon neutrality goals;
Air conditioning energy consumption;
Healthcare data;
Multiple linear regression;
Pearson coefficient
- From:
Modern Hospital
2025;25(11):1689-1692,1697
- CountryChina
- Language:Chinese
-
Abstract:
Based on energy consumption data from 2019 to 2024 at a tertiary hospital in Guangzhou under China's"Dual Carbon"policy context,this study investigates the dynamic trends between air-conditioning energy use and associated factors u-sing Pearson correlation,multiple linear regression,and mutual information analysis.Results indicate that outpatient volume and outdoor temperature(both with Pearson correlation coefficients＞0.7)are the primary drivers,with medical activity intensity and seasonal climate fluctuations significantly influencing cooling energy demand.A hierarchical model validated at both hospital-wide and building levels demonstrated improved prediction accuracy for energy trends.The study further proposes a dynamic energy al-location strategy and an anomaly early-warning mechanism,providing data-driven solutions for intelligent energy management in hospitals and supporting energy-saving and emission-reduction goals.
