Abdelilah Rochd
Public charging infrastructure for EVs: A comprehensive analysis of charging patterns & real-world insights—Case study of Rabat City, Morocco
Rochd, Abdelilah; Laamim, Mohamed; Benazzouz, Aboubakr; Kissaoui, Mohamed; Raihani, Abdelhadi; Sun, HongJian
Authors
Mohamed Laamim
Aboubakr Benazzouz
Mohamed Kissaoui
Abdelhadi Raihani
Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor
Abstract
The introduction of electric vehicles (EVs) will contribute to decarbonizing our cities and make them more sustainable, which will help mitigate climate change. To ensure a successful transition to e-mobility, charging infrastructure development is considered an essential pillar. This paper presents a comprehensive analysis of electric vehicle supply equipment (EVSE) usage. It aims to understand charging patterns in urban environments and retrieve some real-world insights. By collecting a 2-years historical dataset (from 2019 to 2021) of a public EVSE based in Rabat, the methodology presented in this study covers time evolution assessment, energy delivery analysis, and users’ behavior characterization. The analysis of about 2835 events showed that the average energy delivery is 12 kWh corresponding to an average charging duration of 48 min. Also, more than 95% of charging sessions consumed less than 25 kWh, which corresponds on average to 60km. The performed analyses resulted in various findings that led to a set of recommendations that could be insightful for different types of stakeholders (policymakers, grid operators, charging operators, EV drivers, etc.). Furthermore, the methodology followed in this work is reproducible and may be used as a reference for other EVSE usage analyses.
Citation
Rochd, A., Laamim, M., Benazzouz, A., Kissaoui, M., Raihani, A., & Sun, H. (2023). Public charging infrastructure for EVs: A comprehensive analysis of charging patterns & real-world insights—Case study of Rabat City, Morocco. Energy Reports, 9(Supplement 9), 216-234. https://doi.org/10.1016/j.egyr.2023.05.259
Journal Article Type | Article |
---|---|
Acceptance Date | May 29, 2023 |
Online Publication Date | Jun 9, 2023 |
Publication Date | 2023 |
Deposit Date | Oct 24, 2023 |
Publicly Available Date | Oct 24, 2023 |
Journal | Energy Reports |
Print ISSN | 2352-4847 |
Electronic ISSN | 2352-4847 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 9 |
Issue | Supplement 9 |
Pages | 216-234 |
DOI | https://doi.org/10.1016/j.egyr.2023.05.259 |
Public URL | https://durham-repository.worktribe.com/output/1816221 |
Files
Published Journal Article
(2.8 Mb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
You might also like
Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems
(2025)
Presentation / Conference Contribution
Integrated Sensing and Communications With Mixed Fields Using Transmit Beamforming
(2024)
Journal Article
Optimal Energy Scheduling of Digital Twins Based Integrated Energy System
(2024)
Presentation / Conference Contribution
Decarbonising Heating with Power-Hydrogen Optimisation
(2024)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search