%Aigaion2 BibTeX export van HES SO Valais Publications
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@ARTICLE{Jeannin2025Spatiotemporal,
    author = {Jeannin, No{\'{e}}mie and Dumoulin, J{\'{e}}r{\'{e}}my and Pena-Bello, Alejandro and Wannier, David and Ballif, Christophe and Nicolas, Wyrch.},
  keywords = {electric vehicle charging, EV-PV coupling, Flexibility, Geographical analysis, Solar coupling, Vehicle-to-X},
     month = jun,
     title = {A spatiotemporal analysis of photovoltaic electricity storage potential in electric vehicles},
   journal = {International Journal of Sustainable Energy Planning and Management},
    volume = {44},
      year = {2025},
     pages = {91–106},
      note = {Received 03.01.2025; Accepted 26.05.2025; Published 10.06.2025. Corresponding author: No{\'{e}}mie Jeannin. Open Access article under a CC-BY-NC-ND 4.0 license.},
       url = {http://doi.org/10.54337/ijsepm.9825},
       doi = {10.54337/ijsepm.9825},
  abstract = {Decarbonizing mobility and integrating more renewable sources in electricity production are
necessary levers to meet the climate targets. Coupling electric vehicle (EV) charging with
photovoltaic (PV) electricity generation could help to provide clean electricity for charging EVs
and provide flexibility storage to PV installations. The batteries of the vehicles can then be
discharged into the grid to support the electricity supply during periods of high demand. This
study uses a GIS-based methodology to analyse the mobility needs of the European population
and estimates the charging needs of an electrified vehicle fleet. Charging scenarios are then
applied to distribute the charging needs between home, work, and point of interest to quantify the
charging demand both in space by hectare and in time by hour. The charging load curves are then
compared to a typical PV production to estimate the amount of PV electricity that can be stored
locally in the EVs. Considering two charging scenarios (comfort and flexible charging) the
spatio-temporal methodology was applied to three cities with varying solar irradiance and
mobility patterns: Aalborg (Denmark), Bern (Switzerland), and Palermo (Italy). Results show that
10\% of the building footprint covered with PV can cover from 53\% (in Alborg) to 61\% (in Bern)
of the charging need over a year. EVs and PV electricity together can reduce the CO2 emission
related to private cars of 17 to 28\% by 2035 compared to the current fuel-based vehicle fleet.}
}