Journal
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 68, Issue -, Pages 447-460Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2016.10.005
Keywords
Electric vehicles use; Activity based models; Charging behaviour
Funding
- Grantham institute for Climate Change at Imperial College
- UK Engineering and Physical Sciences Research Council [EP/L001039/1, EP/I038837/1]
- Engineering and Physical Sciences Research Council [EP/I038837/1, EP/L001039/1] Funding Source: researchfish
- EPSRC [EP/L001039/1, EP/I038837/1] Funding Source: UKRI
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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.
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