IRUS Total

Electric vehicle charging choices: modelling and implications for smart charging services

File Description SizeFormat 
1-s2.0-S0968090X17301365-main.pdfPublished version2.44 MBAdobe PDFView/Open
Title: Electric vehicle charging choices: modelling and implications for smart charging services
Authors: Daina, N
Sivakumar, A
Polak, JW
Item Type: Journal Article
Abstract: The rollout of electric vehicles (EV) occurring in parallel with the decarbonisation of the power sector can bring uncontested environmental benefits, in terms of CO2 emission reduction and air quality. This roll out, however, poses challenges to power systems, as additional power demand is injected in context of increasingly volatile supply from renewable energy sources. Smart EV charging services can provide a solution to such challenges. The development of effective smart charging services requires evaluating pre-emptively EV drivers’ response. The current practice in the appraisal of smart charging strategies largely relies on simplistic or theoretical representation of drivers’ charging and travel behaviour. We propose a random utility model for joint EV drivers’ activity-travel scheduling and charging choices. Our model easily integrates in activity-based demand modelling systems for the analyses of integrated transport and energy systems. However, unlike previous charging behaviour models used in integrated transport and energy system analyses, our model empirically captures the behavioural nuances of tactical charging choices in smart grid context, using empirically estimated charging preferences. We present model estimation results that provide insights into the value placed by individuals on the main attributes of the charging choice and draw implications charging service providers.
Issue Date: 1-Aug-2017
Date of Acceptance: 11-May-2017
URI: http://hdl.handle.net/10044/1/48540
DOI: 10.1016/j.trc.2017.05.006
ISSN: 0968-090X
Publisher: Elsevier
Start Page: 36
End Page: 56
Journal / Book Title: Transportation Research Part C: Emerging Technologies
Volume: 81
Issue: 1
Copyright Statement: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Funder's Grant Number: EP/L001039/1
BH151279 (EP/N010612/1)
Keywords: Charging choices
Electric vehicles;
Smart charging;
Charging service provider
Science & Technology
Transportation Science & Technology
Charging choices
Electric vehicles
Smart charging
Charging service provider
Logistics & Transportation
08 Information and Computing Sciences
09 Engineering
15 Commerce, Management, Tourism and Services
Publication Status: Published
Open Access location: http://www.sciencedirect.com/science/article/pii/S0968090X17301365
Online Publication Date: 2017-05-24
Appears in Collections:Civil and Environmental Engineering
Grantham Institute for Climate Change
Faculty of Natural Sciences
Faculty of Engineering