Analyzing Residential Charging Demand for Light-Duty Electric Vehicles in Colorado: Preprint

Zhaocai Liu, Polina Alexeenko, Matthew Bruchon, Mingzhi Zhang, Mithat John Kisacikoglu

Research output: Contribution to conferencePaper


The past decade has witnessed the rapid adoption of electric vehicles (EVs). The momentum is expected to continue with strong support from the government and industry. Rapid EV adoption brings significant charging demand to the power grid, causing additional stress and non-negligible risks to the already-aging power grid. To help power grid operators understand the impacts of EV home charging on the grid and identify risk factors, this study presents a data-driven residential charging demand analysis for light-duty vehicles. This study considers two real-world grid service regions in Colorado and merges multiple data sources and state-of-the-art tools that characterize EV adoption projections, vehicle travel patterns, seasonal variations, residential charging accessibility, ambient temperature impact, EV charging behaviors, grid utility customers, vehicle registration, and household-level EV charging demand distribution. We characterize potential residential charging demand in 2030 for two regions within the state of Colorado: Boulder and Aurora. We project that EVs will be 26% of the light-duty vehicle population in Boulder and 16% in Aurora. Charging demand is characterized for ten power grid feeders (five for each study region). Across the ten feeders, peak total EV charging powers during wintertime range from less than 1 MW to more than 4 MW.
Original languageAmerican English
Number of pages9
StatePublished - 2024
Event2024 IEEE Transportation Electrification Conference & Expo - Rosemont, IL, USA
Duration: 19 Jun 202421 Jun 2024


Conference2024 IEEE Transportation Electrification Conference & Expo
CityRosemont, IL, USA

NREL Publication Number

  • NREL/CP-5400-89286


  • data-driven analysis
  • light-duty electric vehicle
  • residential charging demand


Dive into the research topics of 'Analyzing Residential Charging Demand for Light-Duty Electric Vehicles in Colorado: Preprint'. Together they form a unique fingerprint.

Cite this