首页|Towards solar-energy-assisted electric vehicle charging stations: A literature review on site selection with GIS and MCDM methods

Towards solar-energy-assisted electric vehicle charging stations: A literature review on site selection with GIS and MCDM methods

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  • NETL
  • NSTL
  • Elsevier
Transport electrification and renewable energy integration are essential for transitioning to a zero-carbon society.Electric vehicles (EVs) are seen as a solution to cut transport emissions, but the existing charging stationnetwork is insufficient, and the electricity is often largely supplied by fossil fuels. Therefore, a key question ishow to design optimally located charging stations supported by renewable energy. Geographical informationsystem (GIS) and multi-criteria decision-making (MCDM) have proven to be powerful methods for site selectionas they help manage geographical data, local characteristics and stakeholder preferences. These approaches havebeen successfully applied for solar or EV charging station site selection, but their use for solar-energy-assistedelectric vehicle charging stations (SE-EVCS) is limited. As SE-EVCSs are of quickly increasing importance, thisstudy developed a generic approach using GIS and MCDM to identify optimal locations for SE-EVCSs. A systematicliterature review was performed to identify the relevant site selection criteria and MCDMs used so far.The proposed approach considers the most relevant criteria and their application in practice, analysing differentuse cases for city centres and urban areas. These criteria consist of solar irradiance, accessibility (roads andamenities), land availability/type, existing charging network, population densities, economic KPIs and technicalenergy factors, but their importance depends on the local context. The findings are expected to help city planners,plot owners, private charging operators and energy companies to select optimal locations for SE-EVCSs, andhelp researchers and practitioners design methods and criteria for tools supporting these site selection processes.

Charging StationElectric VehicleGeographic Information SystemMulti-Criteria Decision-MakingSite SelectionSolar Energy

Sinem Hisoglu、Resul Coemert、Marko Antila d、Rafael Aman、Aapo Huovila

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Smart Energy and Built Environment, VTT Technical Research Centre of Finland Ltd, Tekniikantie 21, 02150 Espoo, Finland||Department of Civil and Mechanical Engineering, Technical University of Denmark, Anker Engelunds Vej 101, 2800 Kongens Lyngby, Denmark

Institute of Earth and Space Sciences, Eskisehir Technical University, Eyluel Kampuesue, 26555 TepebasI/Eskisehir, Tuerkiye

Mobility and Transport, VTT Technical Research Centre of Finland Ltd, Visiokatu 4, 33101 Tampere, Finland

Mobility and Transport, VTT Technical Research Centre of Finland Ltd, Tietotie 4c, 02150 Espoo, Finland

Smart Energy and Built Environment, VTT Technical Research Centre of Finland Ltd, Tekniikantie 21, 02150 Espoo, Finland

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2025

10.1016/j.seta.2025.104193

Sustainable Energy Technologies and Assessments

Sustainable Energy Technologies and Assessments

SCI
ISSN：2213-1388
年,卷(期)：2025.75(Mar.)
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