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Changes in Domestic Energy and Water Usage during the UK COVID-19 Lockdown Using High-Resolution Temporal Data

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  • Tamaryn Menneer

    (European Centre for Environment and Human Health, University of Exeter Medical School, Knowledge Spa, Royal Cornwall Hospital, Truro, Cornwall TR1 3HD, UK
    Environment and Sustainability Institute, Penryn Campus, University of Exeter, Penryn TR10 9FE, UK)

  • Zening Qi

    (College of Engineering, Mathematics and Physical Sciences, Harrison Building, Streatham Campus, University of Exeter, North Park Rd, Exeter EX4 4QF, UK)

  • Timothy Taylor

    (European Centre for Environment and Human Health, University of Exeter Medical School, Knowledge Spa, Royal Cornwall Hospital, Truro, Cornwall TR1 3HD, UK)

  • Cheryl Paterson

    (European Centre for Environment and Human Health, University of Exeter Medical School, Knowledge Spa, Royal Cornwall Hospital, Truro, Cornwall TR1 3HD, UK)

  • Gengyang Tu

    (European Centre for Environment and Human Health, University of Exeter Medical School, Knowledge Spa, Royal Cornwall Hospital, Truro, Cornwall TR1 3HD, UK)

  • Lewis R. Elliott

    (European Centre for Environment and Human Health, University of Exeter Medical School, Knowledge Spa, Royal Cornwall Hospital, Truro, Cornwall TR1 3HD, UK)

  • Karyn Morrissey

    (European Centre for Environment and Human Health, University of Exeter Medical School, Knowledge Spa, Royal Cornwall Hospital, Truro, Cornwall TR1 3HD, UK)

  • Markus Mueller

    (Environment and Sustainability Institute, Penryn Campus, University of Exeter, Penryn TR10 9FE, UK
    College of Engineering, Mathematics and Physical Sciences, Penryn Campus, University of Exeter, Penryn TR10 9FE, UK)

Abstract

In response to the COVID-19 outbreak, the UK Government provided public health advice to stay at home from 16 March 2020, followed by instruction to stay at home (full lockdown) from 24 March 2020. We use data with high temporal resolution from utility sensors installed in 280 homes across social housing in Cornwall, UK, to test for changes in domestic electricity, gas and water usage in response to government guidance. Gas usage increased by 20% following advice to stay at home, the week before full lockdown, although no difference was seen during full lockdown itself. During full lockdown, morning electricity usage shifted to later in the day, decreasing at 6 a.m. and increasing at midday. These changes in energy were echoed in water usage, with a 17% increase and a one-hour delay in peak morning usage. Changes were consistent with people getting up later, spending more time at home and washing more during full lockdown. Evidence for these changes was also observed in later lockdowns, but not between lockdowns. Our findings suggest more compliance with an enforced stay-at-home message than with advice. We discuss implications for socioeconomically disadvantaged households given the indication of inability to achieve increased energy needs during the pandemic.

Suggested Citation

  • Tamaryn Menneer & Zening Qi & Timothy Taylor & Cheryl Paterson & Gengyang Tu & Lewis R. Elliott & Karyn Morrissey & Markus Mueller, 2021. "Changes in Domestic Energy and Water Usage during the UK COVID-19 Lockdown Using High-Resolution Temporal Data," IJERPH, MDPI, vol. 18(13), pages 1-21, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:13:p:6818-:d:581998
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    References listed on IDEAS

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    1. Liudmila Rozanova & Alexander Temerev & Antoine Flahault, 2020. "Comparing the Scope and Efficacy of COVID-19 Response Strategies in 16 Countries: An Overview," IJERPH, MDPI, vol. 17(24), pages 1-17, December.
    2. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    3. Anderson, Will & White, Vicki & Finney, Andrea, 2012. "Coping with low incomes and cold homes," Energy Policy, Elsevier, vol. 49(C), pages 40-52.
    4. Faruqui, Ahmad & Sergici, Sanem & Sharif, Ahmed, 2010. "The impact of informational feedback on energy consumption—A survey of the experimental evidence," Energy, Elsevier, vol. 35(4), pages 1598-1608.
    5. Galym Tokazhanov & Aidana Tleuken & Mert Guney & Ali Turkyilmaz & Ferhat Karaca, 2020. "How is COVID-19 Experience Transforming Sustainability Requirements of Residential Buildings? A Review," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    6. Harold, Jason & Lyons, Seán & Cullinan, John, 2015. "The determinants of residential gas demand in Ireland," Energy Economics, Elsevier, vol. 51(C), pages 475-483.
    7. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    8. Makki, Anas A. & Stewart, Rodney A. & Beal, Cara D. & Panuwatwanich, Kriengsak, 2015. "Novel bottom-up urban water demand forecasting model: Revealing the determinants, drivers and predictors of residential indoor end-use consumption," Resources, Conservation & Recycling, Elsevier, vol. 95(C), pages 15-37.
    9. Baker, Keith J. & Rylatt, R. Mark, 2008. "Improving the prediction of UK domestic energy-demand using annual consumption-data," Applied Energy, Elsevier, vol. 85(6), pages 475-482, June.
    10. Loveth Moses & Karyn Morrissey & Richard A. Sharpe & Tim Taylor, 2019. "Exposure to Indoor Mouldy Odour Increases the Risk of Asthma in Older Adults Living in Social Housing," IJERPH, MDPI, vol. 16(14), pages 1-14, July.
    11. Goutam Dutta & Krishnendranath Mitra, 2017. "A literature review on dynamic pricing of electricity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1131-1145, October.
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