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Drivers behind Residential Electricity Demand Fluctuations Due to COVID-19 Restrictions

Author

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  • Stephen Snow

    (Centre for Energy Data Innovation, ITEE, University of Queensland, Brisbane 4072, Australia)

  • Richard Bean

    (Centre for Energy Data Innovation, ITEE, University of Queensland, Brisbane 4072, Australia)

  • Mashhuda Glencross

    (Centre for Energy Data Innovation, ITEE, University of Queensland, Brisbane 4072, Australia)

  • Neil Horrocks

    (Centre for Energy Data Innovation, ITEE, University of Queensland, Brisbane 4072, Australia)

Abstract

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.

Suggested Citation

  • Stephen Snow & Richard Bean & Mashhuda Glencross & Neil Horrocks, 2020. "Drivers behind Residential Electricity Demand Fluctuations Due to COVID-19 Restrictions," Energies, MDPI, vol. 13(21), pages 1-20, November.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5738-:d:438991
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    References listed on IDEAS

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    6. Richard Bean, 2023. "Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge," Energies, MDPI, vol. 16(3), pages 1-23, January.
    7. Ettore Bompard & Carmelo Mosca & Pietro Colella & Georgios Antonopoulos & Gianluca Fulli & Marcelo Masera & Marta Poncela-Blanco & Silvia Vitiello, 2020. "The Immediate Impacts of COVID-19 on European Electricity Systems: A First Assessment and Lessons Learned," Energies, MDPI, vol. 14(1), pages 1-22, December.
    8. Rizzati, Massimiliano & De Cian, Enrica & Guastella, Gianni & Mistry, Malcolm N. & Pareglio, Stefano, 2022. "Residential electricity demand projections for Italy: A spatial downscaling approach," Energy Policy, Elsevier, vol. 160(C).
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    10. Natarajan, Anisha & Krishnasamy, Vijayakumar & Singh, Munesh, 2022. "Occupancy detection and localization strategies for demand modulated appliance control in Internet of Things enabled home energy management system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    11. Yukseltan, E. & Kok, A. & Yucekaya, A. & Bilge, A. & Aktunc, E. Agca & Hekimoglu, M., 2022. "The impact of the COVID-19 pandemic and behavioral restrictions on electricity consumption and the daily demand curve in Turkey," Utilities Policy, Elsevier, vol. 76(C).
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    13. Prajowal Manandhar & Hasan Rafiq & Edwin Rodriguez-Ubinas & Juan David Barbosa & Omer Ahmed Qureshi & Mahmoud Tarek & Sgouris Sgouridis, 2022. "Understanding Energy Behavioral Changes Due to COVID-19 in the Residents of Dubai Using Electricity Consumption Data and Their Impacts," Energies, MDPI, vol. 16(1), pages 1-23, December.
    14. Minseok Jang & Hyun Cheol Jeong & Taegon Kim & Dong Hee Suh & Sung-Kwan Joo, 2021. "Empirical Analysis of the Impact of COVID-19 Social Distancing on Residential Electricity Consumption Based on Demographic Characteristics and Load Shape," Energies, MDPI, vol. 14(22), pages 1-15, November.
    15. Sławomir Bielecki & Tadeusz Skoczkowski & Lidia Sobczak & Janusz Buchoski & Łukasz Maciąg & Piotr Dukat, 2021. "Impact of the Lockdown during the COVID-19 Pandemic on Electricity Use by Residential Users," Energies, MDPI, vol. 14(4), pages 1-32, February.

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