Analysis of the influence of the stay-at-home order on the electricity consumption in Chinese university dormitory buildings during the COVID-19 pandemic

被引:4
作者
Zhou, Tingting [1 ]
Luo, Xi [2 ]
Liu, Xiaojun [1 ]
Liu, Guangchuan [3 ]
Li, Na [1 ]
Sun, Yongkai [1 ]
Xing, Menglin [1 ]
Liu, Jianghua [1 ]
机构
[1] Xian Univ Architecture & Technol, Sch Management, Xian 710055, Peoples R China
[2] Xian Univ Architecture & Technol, Sch Bldg Serv Sci & Engn, State Key Lab Green Bldg Western China, Xian 710055, Peoples R China
[3] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
COVID-19; pandemic; Stay-at-home order; Stochastic behaviour model; Energy consumption patterns; Electrical consumption; University dormitory building; OCCUPANT BEHAVIOR; PERFORMANCE SIMULATION; ENERGY-CONSUMPTION; STOCHASTIC-MODEL; HOUSEHOLDS; OPERATION; WINDOWS;
D O I
10.1016/j.enbuild.2022.112582
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
During the COVID-19 pandemic, strict stay-at-home orders have been implemented in many Chinese uni-versities in virus-hit regions. While changes in electricity consumption in the residential sector caused by COVID-19 have been thoroughly analysed, there is a lack of insight into the impact of the stay-at-home order on electricity consumption in university dormitory buildings. Based on questionnaire survey results, this study adopted the statistical Kaplan-Meier survival analysis to analyse the energy-use beha-viours of university students in dormitories during the COVID-19 pandemic. The electricity load profiles of the dormitory buildings before and during the implementation of the stay-at-home order were gener-ated and compared to quantitatively analyse the influence of COVID-19 pandemic on the energy-use behaviours of university students, and the proposed load forecasting method was validated by comparing the forecasting results with monitoring data on electricity consumption. The results showed that: 1) dur-ing the implementation of the stay-at-home order, electricity consumption in the university dormitory buildings increased by 41.05%; 2) due to the increased use of illuminating lamps, laptops, and public direct drinking machines, the daily electricity consumption increased most significantly from 13:00 to 18:00, with an increase rate of 97.15%; and 3) the morning peak shifted backward and the evening peak shifted forward, demonstrating the effect of implementing the stay-at-home order on reshaping load profiles.(c) 2022 Elsevier B.V. All rights reserved.
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页数:13
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