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Electric Vehicle Charging Demand in the Chicago Metropolitan Area through 2030

Technical Report ·
DOI:https://doi.org/10.2172/2427945· OSTI ID:2427945
 [1];  [1];  [1];  [1]
  1. Argonne National Laboratory (ANL), Argonne, IL (United States)
This report outlines the collaborative efforts between Argonne National Laboratory and Exelon in advancing the Agent-Based Transportation Energy Analysis Model (ATEAM). Aligning with ComEd’s beneficial electrification plan, this study developed eight scenarios to access the temporal and spatial distribution of charging load and demand stemming from the widespread adoption of battery electric vehicles (BEV) adoption, augmented public charging infrastructure deployment, and increased multi-unit dwelling (MUD) charging availability. Enhancements to the ATEAM model encompassed the simulation of multiple days of travel behavior, estimation of total public charging infrastructure needs, user interface refinements, and output tracking at both vehicle and charging station levels. The total electricity consumption for residential and public charging to support over 800,000 BEVs in Chicago in 2029 is projected at approximately 10.2 GWh. Enhanced MUD home charging accessibility (70%) amplifies the home charging load in the study area by 1.5% compared to the baseline scenario (10%). The widespread adoption of BEVs reduces peak charging loads, owing to their inclusion across households with diverse income levels, thus fostering a more dispersed charging activity pattern. However, widespread BEV adoption increases the peak home charging load in areas with lower median household incomes, reflecting a higher BEV concentration in these locales and, subsequently, heightened peak charging demands. In the Widespread BEV adoption scenario, fewer census tracts exhibit elevated peak loads for combined home and public charging, indicating a more even distribution of charging demand across the study area. Predominantly, peak loads for combined charging—both home and public— occur between 2 p.m. and 10 p.m. across all scenarios, encompassing the majority of census tracts.
Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States); Commonwealth Edison (ComEd), Chicago, IL (United States)
Sponsoring Organization:
USDOE; Exelon Generation
DOE Contract Number:
AC02-06CH11357
OSTI ID:
2427945
Report Number(s):
ANL/ESIA--24/6; A16155; 190134
Country of Publication:
United States
Language:
English

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