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Title: An optimization framework for workplace charging strategies

Abstract

The workplace charging (WPC) has been recently recognized as the most important secondary charging point next to residential charging for plug-in electric vehicles (PEVs). The current WPC practice is spontaneous and grants every PEV a designated charger, which may not be practical or economic when there are a large number of PEVs present at workplace. This study is the first research undertaken that develops an optimization framework for WPC strategies to satisfy all charging demand while explicitly addressing different eligible levels of charging technology and employees’ demographic distributions. The optimization model is to minimize the lifetime cost of equipment, installations, and operations, and is formulated as an integer program. We demonstrate the applicability of the model using numerical examples based on national average data. The results indicate that the proposed optimization model can reduce the total cost of running a WPC system by up to 70% compared to the current practice. The WPC strategies are sensitive to the time windows and installation costs, and dominated by the PEV population size. The WPC has also been identified as an alternative sustainable transportation program to the public transit subsidy programs for both economic and environmental advantages.

Authors:
;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1392379
DOE Contract Number:
AC02-06CH11357
Resource Type:
Journal Article
Resource Relation:
Journal Name: Transportation Research Part C: Emerging Technologies; Journal Volume: 52; Journal Issue: C
Country of Publication:
United States
Language:
English
Subject:
Optimization; Resource allocation; Workplace charging

Citation Formats

Huang, Yongxi, and Zhou, Yan. An optimization framework for workplace charging strategies. United States: N. p., 2015. Web. doi:10.1016/j.trc.2015.01.022.
Huang, Yongxi, & Zhou, Yan. An optimization framework for workplace charging strategies. United States. doi:10.1016/j.trc.2015.01.022.
Huang, Yongxi, and Zhou, Yan. Sun . "An optimization framework for workplace charging strategies". United States. doi:10.1016/j.trc.2015.01.022.
@article{osti_1392379,
title = {An optimization framework for workplace charging strategies},
author = {Huang, Yongxi and Zhou, Yan},
abstractNote = {The workplace charging (WPC) has been recently recognized as the most important secondary charging point next to residential charging for plug-in electric vehicles (PEVs). The current WPC practice is spontaneous and grants every PEV a designated charger, which may not be practical or economic when there are a large number of PEVs present at workplace. This study is the first research undertaken that develops an optimization framework for WPC strategies to satisfy all charging demand while explicitly addressing different eligible levels of charging technology and employees’ demographic distributions. The optimization model is to minimize the lifetime cost of equipment, installations, and operations, and is formulated as an integer program. We demonstrate the applicability of the model using numerical examples based on national average data. The results indicate that the proposed optimization model can reduce the total cost of running a WPC system by up to 70% compared to the current practice. The WPC strategies are sensitive to the time windows and installation costs, and dominated by the PEV population size. The WPC has also been identified as an alternative sustainable transportation program to the public transit subsidy programs for both economic and environmental advantages.},
doi = {10.1016/j.trc.2015.01.022},
journal = {Transportation Research Part C: Emerging Technologies},
number = C,
volume = 52,
place = {United States},
year = {Sun Mar 01 00:00:00 EST 2015},
month = {Sun Mar 01 00:00:00 EST 2015}
}