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Title: Impact of public electric vehicle charging infrastructure

Abstract

Our work uses market analysis and simulation to explore the potential of public charging infrastructure to spur US battery electric vehicle (BEV) sales, increase national electrified mileage, and lower greenhouse gas (GHG) emissions. By employing both scenario and parametric analysis for policy driven injection of public charging stations we find the following: (1) For large deployments of public chargers, DC fast chargers are more effective than level 2 chargers at increasing BEV sales, increasing electrified mileage, and lowering GHG emissions, even if only one DC fast charging station can be built for every ten level 2 charging stations. (2) A national initiative to build DC fast charging infrastructure will see diminishing returns on investment at approximately 30,000 stations. (3) Some infrastructure deployment costs can be defrayed by passing them back to electric vehicle consumers, but once those costs to the consumer reach the equivalent of approximately 12¢/kWh for all miles driven, almost all gains to BEV sales and GHG emissions reductions from infrastructure construction are lost.

Authors:
 [1];  [1]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1399883
Report Number(s):
SAND2016-12274J
Journal ID: ISSN 1361-9209; PII: S136192091630757X
Grant/Contract Number:  
AC04-94AL85000; NA0003525
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Transportation Research. Part D, Transport and Environment
Additional Journal Information:
Journal Name: Transportation Research. Part D, Transport and Environment; Journal ID: ISSN 1361-9209
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; transporation energy; battery electric vehicle

Citation Formats

Levinson, Rebecca S., and West, Todd H. Impact of public electric vehicle charging infrastructure. United States: N. p., 2017. Web. doi:10.1016/j.trd.2017.10.006.
Levinson, Rebecca S., & West, Todd H. Impact of public electric vehicle charging infrastructure. United States. doi:10.1016/j.trd.2017.10.006.
Levinson, Rebecca S., and West, Todd H. Mon . "Impact of public electric vehicle charging infrastructure". United States. doi:10.1016/j.trd.2017.10.006. https://www.osti.gov/servlets/purl/1399883.
@article{osti_1399883,
title = {Impact of public electric vehicle charging infrastructure},
author = {Levinson, Rebecca S. and West, Todd H.},
abstractNote = {Our work uses market analysis and simulation to explore the potential of public charging infrastructure to spur US battery electric vehicle (BEV) sales, increase national electrified mileage, and lower greenhouse gas (GHG) emissions. By employing both scenario and parametric analysis for policy driven injection of public charging stations we find the following: (1) For large deployments of public chargers, DC fast chargers are more effective than level 2 chargers at increasing BEV sales, increasing electrified mileage, and lowering GHG emissions, even if only one DC fast charging station can be built for every ten level 2 charging stations. (2) A national initiative to build DC fast charging infrastructure will see diminishing returns on investment at approximately 30,000 stations. (3) Some infrastructure deployment costs can be defrayed by passing them back to electric vehicle consumers, but once those costs to the consumer reach the equivalent of approximately 12¢/kWh for all miles driven, almost all gains to BEV sales and GHG emissions reductions from infrastructure construction are lost.},
doi = {10.1016/j.trd.2017.10.006},
journal = {Transportation Research. Part D, Transport and Environment},
number = ,
volume = ,
place = {United States},
year = {Mon Oct 16 00:00:00 EDT 2017},
month = {Mon Oct 16 00:00:00 EDT 2017}
}

Journal Article:
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