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Integrated Modeling of Electric Vehicle Energy Demand and Regional Electricity Generation

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  • Dowds, Jonathan
  • Howerter, Sarah
  • Hines, Paul
  • Aultman-Hall, Lisa

Abstract

This paper describes a model for developing highly resolved, time-of-day specific electric vehicle charging demand profiles from travel survey data. Since timing of vehicle charging is dependent on electric vehicle supply equipment (EVSE) availability, four EVSE scenarios are considered: 1) home only, 2) home and workplace only, 3) universal EVSE, and 4) a probabilistic scenario where EVSE availability varies by location. To illustrate the implications of differing demand profiles on power grid operation with high renewable generating capacity, the profiles are in a typical regional economic dispatch model. The results provide a valuable approach for understanding the interactions between vehicle electrification and renewable energy deployment while exploring an updated range of assumptions about EVSE availability and charging behaviors for New York and the six New England states. All scenarios result in increased peak demand and increased generation by non-renewable generating sources. This indicates that incentive mechanisms that influence charging decisions are necessary to attain lower emissions outcomes. View the NCST Project Webpage

Suggested Citation

  • Dowds, Jonathan & Howerter, Sarah & Hines, Paul & Aultman-Hall, Lisa, 2024. "Integrated Modeling of Electric Vehicle Energy Demand and Regional Electricity Generation," Institute of Transportation Studies, Working Paper Series qt9nv8z4kc, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt9nv8z4kc
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    References listed on IDEAS

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    3. Foley, Aoife & Tyther, Barry & Calnan, Patrick & Ó Gallachóir, Brian, 2013. "Impacts of Electric Vehicle charging under electricity market operations," Applied Energy, Elsevier, vol. 101(C), pages 93-102.
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    5. Dowds, Jonathan & Hines, Paul D.H. & Blumsack, Seth, 2013. "Estimating the impact of fuel-switching between liquid fuels and electricity under electricity-sector carbon-pricing schemes," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 76-88.
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    More about this item

    Keywords

    Engineering; Social and Behavioral Sciences; Demand; Electric power generation; Electric vehicle charging; Electric vehicles; Forecasting; Renewable energy sources; Travel surveys;
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