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@article{Daina:2017:10.1016/j.rser.2016.10.005,
author = {Daina, N and Sivakumar, A and Polak, JW},
doi = {10.1016/j.rser.2016.10.005},
journal = {Renewable and Sustainable Energy Reviews},
pages = {447--460},
title = {Modelling electric vehicles use: a survey on the methods},
url = {http://dx.doi.org/10.1016/j.rser.2016.10.005},
volume = {68},
year = {2017}
}
TY - JOUR
AB - 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.
AU - Daina,N
AU - Sivakumar,A
AU - Polak,JW
DO - 10.1016/j.rser.2016.10.005
EP - 460
PY - 2017///
SN - 1364-0321
SP - 447
TI - Modelling electric vehicles use: a survey on the methods
T2 - Renewable and Sustainable Energy Reviews
UR - http://dx.doi.org/10.1016/j.rser.2016.10.005
UR - https://www.sciencedirect.com/science/article/pii/S1364032116306566
UR - http://hdl.handle.net/10044/1/41104
VL - 68
ER -
Climate Science
Earth and Life Sciences
Energy and Low-Carbon Futures
Resources and Pollution
Economics and Finance
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