Developing a statistical electric vehicle charging model and its application in the performance assessment of a sustainable urban charging hub

N. J. Kelly; G. H. Flett; J. W. Hand

doi:10.1080/19401493.2023.2258843

Developing a statistical electric vehicle charging model and its application in the performance assessment of a sustainable urban charging hub

N. J. Kelly, G. H. Flett, J. W. Hand

Research output: Contribution to journal › Article › peer-review

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Abstract

A statistical model to calculate dynamic, electric vehicle (EV) charging loads at public hubs, which can be used with building simulation tools is presented; it was generated using two, real datasets and shown to faithfully recreate the characteristics of charging seen in the monitored data. The model was used with a building simulation tool to assess the ability of rooftop PV with battery buffering to mitigate the effects of urban EV charging for a charging hub and car park in Glasgow, Scotland. The car park’s 200 kW PV array could fully-offset the demand of a fleet of approximately 50 vehicles. The addition of a small buffering battery (

Original language	English
Pages (from-to)	1-20
Number of pages	20
Journal	Journal of Building Performance Simulation
Early online date	22 Sept 2023
DOIs	https://doi.org/10.1080/19401493.2023.2258843
Publication status	E-pub ahead of print - 22 Sept 2023

Keywords

electric vehicle charging
solar energy
photovoltaics
building simulation
sustainable buildings
sustainable transport

Access to Document

10.1080/19401493.2023.2258843Licence: CC BY-NC-ND 4.0

Kelly-etal-JBPS-2023-Developing-a-statistical-electric-vehicle-charging-modelFinal published version, 4.98 MBLicence: CC BY-NC-ND 4.0

1 Finished

Rotterdam, Umea and Glasgow: Generating Exemplar Districts in Sustainable Energy Deployment H2020: Ruggedised (Smart and Sustainable Cities)
Clarke, J. (Principal Investigator), Bellingham, R. (Co-investigator), Costola, D. (Co-investigator) & Kelly, N. (Co-investigator)
European Commission - Horizon Europe + H2020
1/11/16 → 31/10/21
Project: Research

Data for: "Developing a statistical electric vehicle charging model and its application in the performance assessment of a sustainable urban charging hub"
Kelly, N. (Creator) & Flett, G. H. (Creator), University of Strathclyde, 15 Sept 2023
DOI: 10.15129/21b5782d-a229-42f9-8f17-1f9a60f91197
Dataset

1 Paper

Assessing the ability of roof-mounted photovoltaic (PV) canopies to support electric vehicle (EV) charging in cities
Kelly, N. J., Allison, J., Flett, G. & Hand, J. W., 12 Nov 2020. 8 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
File

Building performance simulation with computational modelling software enables practitioners to realise a low carbon built environment.
Clarke, J. (Participant), Kelly, N. (Participant) & (Participant)
Impact: Impact - for External Portal › Environment and sustainability - natural world and built environment, Professional practice, training and standards

File

Cite this

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KW - solar energy

KW - photovoltaics

KW - building simulation

KW - sustainable buildings

KW - sustainable transport

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Developing a statistical electric vehicle charging model and its application in the performance assessment of a sustainable urban charging hub

Abstract

Keywords

Access to Document

Fingerprint

Projects

Rotterdam, Umea and Glasgow: Generating Exemplar Districts in Sustainable Energy Deployment H2020: Ruggedised (Smart and Sustainable Cities)

Datasets

Data for: "Developing a statistical electric vehicle charging model and its application in the performance assessment of a sustainable urban charging hub"

Research output

Assessing the ability of roof-mounted photovoltaic (PV) canopies to support electric vehicle (EV) charging in cities

Impacts

Building performance simulation with computational modelling software enables practitioners to realise a low carbon built environment.

Cite this