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Estimating Residential Electric Vehicle Electricity Use

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  • Burlig, Fiona PhD
  • Bushnell, James PhD
  • Rapson, David PhD
  • Wolfram, Catherine PhD

Abstract

The widespread adoption of electric vehicles (EV) is a centerpiece of California’s strategy to reach net-zero carbon emissions, but it is not fully known how and where EVs are being used, and how and where they are being charged. This report provides the first at-scale estimate of EV home charging. Previous estimates were based on conflicting surveys or extrapolated from a small, unrepresentative sample of households with dedicated EV meters. We combined billions of hourly electricity meter measurements with address-level EV registration records from California households, including roughly 40,000 EV owners. The average EV increases overall household load by 2.9 kilowatt-hours per day, well under half the amount assumed by state regulators. Results imply that EVs travel less than expected on electric power, raising questions about transportation electrification for climate policy.

Suggested Citation

  • Burlig, Fiona PhD & Bushnell, James PhD & Rapson, David PhD & Wolfram, Catherine PhD, 2024. "Estimating Residential Electric Vehicle Electricity Use," Institute of Transportation Studies, Working Paper Series qt8c20q0rf, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt8c20q0rf
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    References listed on IDEAS

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    1. Fiona Burlig & Christopher Knittel & David Rapson & Mar Reguant & Catherine Wolfram, 2020. "Machine Learning from Schools about Energy Efficiency," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 7(6), pages 1181-1217.
    2. Lucas W. Davis, 2019. "How much are electric vehicles driven?," Applied Economics Letters, Taylor & Francis Journals, vol. 26(18), pages 1497-1502, October.
    3. Stephen P. Holland & Erin T. Mansur & Nicholas Z. Muller & Andrew J. Yates, 2016. "Are There Environmental Benefits from Driving Electric Vehicles? The Importance of Local Factors," American Economic Review, American Economic Association, vol. 106(12), pages 3700-3729, December.
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