Electric vehicles; Sector coupling; Smart charging; stochastic demand simulation; Time series; Charging patterns; European Countries; Mass scale; Mobility pattern; Power; Stochastic demand simulation; Stochastic-demand; Times series; Building and Construction; Mechanical Engineering; Energy (all); Management, Monitoring, Policy and Law; General Energy
Abstract :
[en] The mass-scale integration of electric vehicles into the power system is a key pillar of the European energy transition agenda. Yet, the extent to which such integration would represent a burden for the power system of each member country is still an unanswered question. This is mainly due to a lack of accurate and context-specific representations of aggregate mobility and charging patterns for large electric vehicle fleets. Here, we develop and validate against empirical data an open-source model that simulates such patterns at high (1-min) temporal resolution, based on easy-to-gather, openly accessible data. We hence apply the model – which we name RAMP-mobility – to 28 European countries, showing for the first time the existence of marked differences in mobility and charging patterns across those, due to a combination of weather and socio-economic factors. We hence quantify the impact that fully-electric car fleets would have on the demand to be met by each country's power system: an uncontrolled deployment of electric vehicles would increase peak demand in the range 35–51%, whilst a plausible share of adoption of smart charging strategies could limit the increase to 30–41%. On the contrary, plausible technology (battery density) and infrastructure (charging power) developments would not provide substantial benefits. Efforts for electric vehicles integration should hence primarily focus on mechanisms to support smart vehicle-to-grid interaction. The approach is applicable generally beyond Europe and can provide policy makers with quantitatively reliable insights about electric vehicles impact on the power system.
Disciplines :
Energy
Author, co-author :
Mangipinto, Andrea; Politecnico di Milano, Department of Energy, Milan, Italy
Lombardi, Francesco ; Politecnico di Milano, Department of Energy, Milan, Italy ; TU Delft, Department of Engineering Systems and Services, Delft, Netherlands
Sanvito, Francesco Davide; Politecnico di Milano, Department of Energy, Milan, Italy
Pavičević, Matija; KU Leuven, Faculty of Engineering Technology, Geel, Belgium ; EnergyVille, Genk, Belgium
Quoilin, Sylvain ; Université de Liège - ULiège > Aérospatiale et Mécanique (A&M) ; KU Leuven, Faculty of Engineering Technology, Geel, Belgium ; EnergyVille, Genk, Belgium
Colombo, Emanuela; Politecnico di Milano, Department of Energy, Milan, Italy
Language :
English
Title :
Impact of mass-scale deployment of electric vehicles and benefits of smart charging across all European countries
F.L. work was supported by the Horizon 2020 Project ECEMF ( https://cordis.europa.eu/project/id/101022622 ), grant agreement ID: 101022622 . F.D.S. work was partially sponsored by Enel Foundation ( https://www.enelfoundation.org/ ). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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