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Journal of Advanced Transportation
Volume 2018 (2018), Article ID 6930932, 15 pages
https://doi.org/10.1155/2018/6930932
Research Article

A Pattern Analysis of Daily Electric Vehicle Charging Profiles: Operational Efficiency and Environmental Impacts

Golisano Institute for Sustainability, Rochester Institute of Technology, One Lomb Memorial Dr., Rochester, NY 14623-5608, USA

Correspondence should be addressed to Roger B. Chen

Received 16 May 2017; Revised 16 October 2017; Accepted 16 November 2017; Published 17 January 2018

Academic Editor: Jing Dong

Copyright © 2018 Ranjit R. Desai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Plug-in Electric Vehicles (PEVs) are considered one solution to reducing GHG emissions from private transport. Additionally, PEV adopters often have free access to public charging facilities. Through a pattern analysis, this study identifies five distinct clusters of daily PEV charging profiles observed at the public charging stations. Empirically observed patterns indicate a significant amount of operational inefficiency, where 54% of the total parking duration PEVs do not consume electricity, preventing other users from charging. This study identifies the opportunity cost in terms of GHG emissions savings if gasoline vehicles are replaced with potential PEV adopters. The time spent in parking without charging by current PEV users can be used by these potential PEV users to charge their PEVs and replace the use of gasoline. The results suggest that reducing inefficient station use leads to significant reductions in emissions. Overall, there is significant variability in outcomes depending on the specific cluster membership.