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Article

High-Resolution Monitored Data Analysis of EV Public Charging Stations for Modelled Grid Impact Validation

by
Aaron Estrada Poggio
,
Giuseppe Rotondo
,
Matteo Giacomo Prina
*,
Alyona Zubaryeva
and
Wolfram Sparber
Eurac Research, Institute for Renewable Energy, 39100 Bolzano, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(18), 8133; https://doi.org/10.3390/app14188133
Submission received: 18 July 2024 / Revised: 28 August 2024 / Accepted: 29 August 2024 / Published: 10 September 2024
(This article belongs to the Section Transportation and Future Mobility)

Abstract

As electric vehicle adoption grows, understanding the impact of electric vehicle charging on electricity grids becomes increasingly important. Accurate grid impact modelling requires high-quality charging infrastructure data. This study examined the electric vehicle recharging infrastructure and usage patterns in a region of the Italian Alps over a three-year period from 2021 to 2023. The primary objectives were to analyze the growth and distribution of electric vehicle charging stations, assess energy consumption, and evaluate charging behaviours across various recharging points. The research involved collecting empirical data from 411,800 recharging sessions and simulated data using the emobpy tool to model energy consumption and charging behavior. Key findings reveal a substantial increase in the number of recharging points, from 673 in 2021 to 970 in 2023, with the total energy delivered increasing from 938 MWh in 2021 to 4133 MWh in 2023. The data showed distinct temporal trends: AC points were primarily used during the day, while DC points saw higher usage during morning and late afternoon peaks, aligning with travelling times. The study’s validation of simulation results against empirical data emphasized the importance of high-quality input for accurate grid impact assessments. These findings suggest the necessity for strategic placement of recharging infrastructure and provide practical insights for policymakers, urban planners, and utility companies to support sustainable electric vehicle integration.
Keywords: electric mobility; charging infrastructure; charging behavior; energy consumption; grid impact; public charging stations electric mobility; charging infrastructure; charging behavior; energy consumption; grid impact; public charging stations

Share and Cite

MDPI and ACS Style

Estrada Poggio, A.; Rotondo, G.; Prina, M.G.; Zubaryeva, A.; Sparber, W. High-Resolution Monitored Data Analysis of EV Public Charging Stations for Modelled Grid Impact Validation. Appl. Sci. 2024, 14, 8133. https://doi.org/10.3390/app14188133

AMA Style

Estrada Poggio A, Rotondo G, Prina MG, Zubaryeva A, Sparber W. High-Resolution Monitored Data Analysis of EV Public Charging Stations for Modelled Grid Impact Validation. Applied Sciences. 2024; 14(18):8133. https://doi.org/10.3390/app14188133

Chicago/Turabian Style

Estrada Poggio, Aaron, Giuseppe Rotondo, Matteo Giacomo Prina, Alyona Zubaryeva, and Wolfram Sparber. 2024. "High-Resolution Monitored Data Analysis of EV Public Charging Stations for Modelled Grid Impact Validation" Applied Sciences 14, no. 18: 8133. https://doi.org/10.3390/app14188133

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