A probabilistic approach to combining smart meter and electric vehicle charging data to investigate distribution network impacts
- Submitting institution
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University of Newcastle upon Tyne
- Unit of assessment
- 12 - Engineering
- Output identifier
- 208949-146162-1293
- Type
- D - Journal article
- DOI
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10.1016/j.apenergy.2015.01.144
- Title of journal
- Applied Energy
- Article number
- -
- First page
- 688
- Volume
- 157
- Issue
- -
- ISSN
- 0306-2619
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2015
- URL
-
http://dx.doi.org/10.1016/j.apenergy.2015.01.144
- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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8
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper challenged the standard views that over-estimated the impact of EVs on electricity networks and which could potentially lead to over-investment or under provision of capacity across distribution networks. It led to two grants to investigate the impact of V2G charging on the networks: (i) £250k Network Innovation Allowance project with Northern Powergrid; (ii) £10M Innovate UK funding with Northern Powergrid, UK Power Networks, National Grid, EON UK, Nissan. Dr Neaimeh (lead author) was invited to join government’s EV Energy Taskforce and a steering group to develop a standard for EV chargers.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -