An integrated transportation-power system model for a decarbonizing world

Dean, Matthew D.; Gurumurthy, Krishna Murthy; Zhou, Zhi; Verbas, Omer; Cokyasar, Taner; Kockelman, Kara

doi:10.1080/03081060.2024.2348721

Title: An integrated transportation-power system model for a decarbonizing world

Journal Article · 08 May 2024 · Transportation Planning and Technology

DOI: https://doi.org/10.1080/03081060.2024.2348721 · OSTI ID:2569219

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Univ. of California, Irvine, CA (United States)
Argonne National Laboratory (ANL), Argonne, IL (United States)
Univ. of Texas, Austin, TX (United States)

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. Further, 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.

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Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO)

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 2569219

Journal Information:: Transportation Planning and Technology, Journal Name: Transportation Planning and Technology Journal Issue: 8 Vol. 47; ISSN 0308-1060; ISSN 1029-0354

Publisher:: Taylor & FrancisCopyright Statement

Country of Publication:: United States

Language:: English

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