Digital Library on Green Mobility

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Residential Electric Vehicle Charging Datasets From Apartment Buildings

Publication Year: 2021

Author(s): Sørensen AL, Lindberg KB, Sartori I, Andresen I

Abstract:

The publication "Analysis of household EV energy flexibility potential based on real-world charging reports and smart metre data" is the source of this data. Residential electric vehicle (EV) charging in apartment buildings is the subject of the datasets presented. Several datasets are provided, with different levels of detail, aiming to serve various needs. The paper provides real-world EV charging reports describing 6,878 charging sessions registered by 97 user IDs, from December 2018 to January 2020.  Identifiers, plug-in time, plug-out time, and charged energy for the sessions are all included in the charging reports. Synthetic charging loads are provided with hourly resolution, assuming charging power 3.6 kW or 7.2 kW and immediate charging after plug-in. The non-charging idle time indicates the charging session's flexibility potential, with synthetic idle capacity representing the energy that could have been charged during the idle times. Synthetic hourly charging loads and idle capacity are provided both for individual users, and aggregated for users with private or shared charge points. For a main garage with 33% of the charging sessions, smart meter data and synthetic charging loads are available, with aggregated values each hour. Finally, for additional research into the association with plug-in/plug-out times, local hourly traffic density in 5 neighbouring traffic areas is provided.

Source of Publication: Data in Brief

Vol/Issue: 36, 107105: 1-11p.

DOI No.: 10.1016/j.dib.2021.107105

Country: Norway

Publisher/Organisation: Elsevier Inc.

Rights: CC BY license (http://creativecommons.org/licenses/by/4.0/)

URL:
https://www.sciencedirect.com/science/article/pii/S2352340921003899/pdfft?md5=44e77f876369456abc7c874cc7af2194&pid=1-s2.0-S2352340921003899-main.pdf

Theme: Research and Development | Subtheme: Soft research/Academic Research

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