Charging Electric Vehicles in Smart Cities: An EVI-Pro Analysis of Columbus, Ohio

Eric Wood, Matteo Muratori, Stanley Young, Clement Rames

Research output: NRELTechnical Report

Abstract

With the support of the U.S. Department of Energy's Vehicle Technologies Office, the National Renewable Energy Laboratory (NREL) worked with the City of Columbus, Ohio, to develop a plan for the expansion of the region's network of charging stations to support increased adoption of plug-in electric vehicles (PEVs) in the local market. NREL's Electric Vehicle Infrastructure Projection (EVI-Pro) model was used to generate scenarios of regional charging infrastructure to support consumer PEV adoption. Results indicate that approximately 400 Level 2 plugs at multi-unit dwellings and 350 Level 2 plugs at non-residential locations are required to support Columbus' primary PEV goal of 5,300 PEVs on the road by the end of 2019. This analysis finds that while consumer demand for fast charging is expected to remain low (due to modest anticipated adoption of short-range battery electric vehicles), a minimum level of fast charging coverage across the city is required to ease consumer range anxiety concerns by providing a safety net for unexpected charging events. Sensitivity analyses around some key assumptions have also been performed; of these, consumer preference for PHEV versus BEV and for their electric driving range, ambient conditions, and availability of residential charging at multi-unit dwellings were identified as key determinants of the non-residential PEV charging infrastructure required to support PEV adoption. The results discussed in this report can be leveraged by similar U.S. cities as part of a strategy to accelerate PEV adoption in the light-duty vehicle market.
Original languageAmerican English
Number of pages61
DOIs
StatePublished - 2018

NREL Publication Number

  • NREL/TP-5400-70367

Keywords

  • Columbus-Ohio
  • electric vehicle charging
  • Electric Vehicle Infrastructure Projection Model
  • electrical load profiles
  • Smart Cities
  • spatial analysis

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