Building energy use in COVID-19 lockdowns: did much change?

被引:0
作者
Hollick, Frances [1 ]
Humphrey, Dominic [1 ]
Oreszczyn, Tadj [1 ]
Elwell, Clifford [1 ]
Huebner, Gesche [1 ]
机构
[1] UCL, UCL Energy Inst, London, England
来源
BUILDINGS & CITIES | 2024年 / 5卷 / 01期
基金
英国科研创新办公室;
关键词
building stock; COVID-19; energy data; energy demand; energy epidemiology; heating; homes; lockdown; working from home; UK; CLIMATE-CHANGE; ADAPTATION;
D O I
10.5334/bc.407
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The lockdowns introduced to prevent the spread of COVID-19 had huge impacts, as people were largely confined to their homes. It could be expected that residential energy use would increase while non-residential decreased, however the picture is not so clear. Here three complementary datasets on different scales are used to explore changes in building energy use during two UK lockdowns: the complete building stock of Great Britain, a sample of approximately 1000 residential buildings, and one of about 24,000 residential boilers. Energy -signature analysis was used for the building data to estimate the changes in demand for space heating and other uses, with the boiler data able to separate space and water heating and explore changes in these. In the 2020 lockdown residential energy consumption for water heating and appliances increased, with decreased use for space heating, resulting in a reduction in total energy use during the heating season. In the 2021 lockdown total energy consumption changed little, however a decrease in the use of gas space heating was observed. The residential changes counteracted non -domestic changes, resulting in little difference in national energy consumption. These results highlight how longitudinal datasets enabled by Internet of Things -enabled devices can be crucial as an evidence base for research.
引用
收藏
页码:182 / 198
页数:17
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