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An integrated transportation-power system model for a decarbonizing world

Author

Listed:
  • Matthew D. Dean
  • Krishna Murthy Gurumurthy
  • Zhi Zhou
  • Omer Verbas
  • Taner Cokyasar
  • Kara Kockelman

Abstract

Rising demand for electricity from electric vehicles (EVs) will require new paradigms to guarantee reliable and low-cost electricity. This study couples an agent-based travel demand simulator and an electricity grid model to assess the economic costs of supplying power to meet EVs' added demand across the Chicago region. Results suggest that shifting from personal EVs to a fleet of shared, fully-automated all-electric vehicles (SAEVs) could lower per-mile emissions, congestion, and embodied vehicle and charging infrastructure emissions. The results should compel policymakers to shift the cost of providing power onto commercial customers, like electric ride-hail fleets, through price-indexed electricity prices, which can shift charging to off-peak periods or away from resource-scarce hours.

Suggested Citation

  • Matthew D. Dean & Krishna Murthy Gurumurthy & Zhi Zhou & Omer Verbas & Taner Cokyasar & Kara Kockelman, 2024. "An integrated transportation-power system model for a decarbonizing world," Transportation Planning and Technology, Taylor & Francis Journals, vol. 47(8), pages 1277-1313, November.
    • Handle: RePEc:taf:transp:v:47:y:2024:i:8:p:1277-1313
    DOI: 10.1080/03081060.2024.2348721
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