Drivers behind Residential Electricity Demand Fluctuations Due to COVID-19 Restrictions
Drivers behind Residential Electricity Demand Fluctuations Due to COVID-19 Restrictions
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DOI：
10.3390/en13215738
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发表时间：
2020-11-01
期刊：
影响因子：
3.2
通讯作者：
Horrocks, Neil
中科院分区：
文献类型：
--
作者：
Snow, Stephen;Bean, Richard;Horrocks, Neil
2019冠状病毒病大流行迅速改变了全球数十亿人的生活方向，使其转向在家工作、学习和生存。本文考察了澳大利亚家庭用电中断的后果。通过对491户家庭的高频电力监测、逐回路监测和对17户家庭的深度访谈，本文(1)比较了COVID-19封锁前和期间的能源使用变化，(2)量化了封锁期间家庭能源使用变化的关键驱动因素，(3)跟踪了家庭与能源使用反馈的互动。调查结果发现，与COVID-19直接相关的家庭用电量的某些方面显着增加，包括烹饪和数字设备的使用增加。然而，尽管政府要求大部分人口呆在家里，但在封锁期间，受监测的昆士兰州大多数家庭的总体能源使用量实际上比之前有所下降，这主要是由于天气变冷，封锁期间空调使用量减少。此外，尽管能源使用发生了重大的量化和自我报告变化，但安装了能源使用反馈的用户在锁定期间访问仪表板的次数比之前少。本文在统计其他地方与COVID-19相关的能源需求波动的背景下讨论了这些结果，以及在封锁等重大中断期间向居民提供能源使用信息的影响。
The COVID-19 pandemic rapidly reoriented the lives of billions of people across the globe toward working, learning, and subsisting from home. This paper examines the consequences of this disruption of electricity use in Australian households. Using high-frequency electricity monitoring from 491 houses and per-circuit monitoring and in-depth interviews with 17 households, the paper (1) compares changes in energy use before and during COVID-19 lockdown, (2) quantifies the key drivers of changes in energy use experienced by households during lockdown, and (3) tracks households' interactions with energy use feedback. The findings identify significant increases in certain aspects of household electricity use directly related to COVID-19, including increased cooking and digital device use. Yet despite the government mandate requiring a large proportion of the population to remain at home, overall energy use among the majority of Queensland households monitored actually decreased during lockdown versus prior, driven primarily by a reduction in air conditioner use during lockdown as the weather cooled. Further, despite significant quantified and self-reported changes in energy use, users who had energy use feedback installed accessed their dashboards less during lockdown than they did prior. The paper discusses these results in the context of statistics on COVID-19 related energy demand fluctuations elsewhere, and the implications for the provision of energy use information to residents during significant disruptions such as lockdown.