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Modelling electric vehicles use: a survey on the methods

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Title: Modelling electric vehicles use: a survey on the methods
Authors: Daina, N
Sivakumar, A
Polak, JW
Item Type: Journal Article
Abstract: In the literature electric vehicle use is modelled using of a variety of approaches in power systems, energy and environmental analyses as well as in travel demand analysis. This paper provides a systematic review of these diverse approaches using a twofold classification of electric vehicle use representation, based on the time scale and on substantive differences in the modelling techniques. For time of day analysis of demand we identify activity-based modelling (ABM) as the most attractive because it provides a framework amenable for integrated cross-sector analyses, required for the emerging integration of the transport and electricity network. However, we find that the current examples of implementation of AMB simulation tools for EV-grid interaction analyses have substantial limitations. Amongst the most critical there is the lack of realism how charging behaviour is represented.
Issue Date: 1-Feb-2017
Date of Acceptance: 4-Oct-2016
URI: http://hdl.handle.net/10044/1/41104
DOI: 10.1016/j.rser.2016.10.005
ISSN: 1364-0321
Publisher: Elsevier
Start Page: 447
End Page: 460
Journal / Book Title: Renewable and Sustainable Energy Reviews
Volume: 68
Issue: Part 1
Copyright Statement: 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)
EPSRC
Funder's Grant Number: EP/L001039/1
EP/I038837/1
EP/I038837/1
Keywords: Science & Technology
Technology
Green & Sustainable Science & Technology
Energy & Fuels
Science & Technology - Other Topics
Electric vehicles use
Activity based models
Charging behaviour
PLUG-IN HYBRID
ENERGY-SOURCES
DEMAND MANAGEMENT
POWER-SYSTEMS
FUEL VEHICLES
CHOICE
IMPACTS
MARKET
PREFERENCES
TECHNOLOGY
Energy
09 Engineering
Publication Status: Published
Online Publication Date: 2016-10-18
Appears in Collections:Civil and Environmental Engineering
Grantham Institute for Climate Change
Faculty of Natural Sciences
Faculty of Engineering