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High Level Summary of Learning: Electrical Vehicle Users

Capova, K.A.; Wardle, R.; Bell, S.; Lyon, S.; Bulkeley, H.A.; Matthews, P.C.; Powells, G.

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Authors

K.A. Capova

R. Wardle

S. Bell

S. Lyon

H.A. Bulkeley

G. Powells



Abstract

This report describes the CLNR trial which examined electric vehicles usage patterns and expected network loading in the event of large-scale take-up of electric vehicles. The trial involved domestic customers who owned an electric vehicle and had access to a home charger, analysis being carried out by Durham University’s CLNR project engineering and social science teams. Observations are based on a semi-qualitative analysis of EV dataset collated from online survey, face to face interviews with householders enrolled in the CLNR project, and power monitoring data collected from households and electric vehicle (EV) chargers. The CLNR project output is the largest socio-technical study of domestic EV charging in the UK and brings together monitoring data to examine electric vehicle usage patterns and expected network loading in the event of large-scale take-up of electric vehicles. Customers on the trial exhibit “working household” house demand profiles with EV demand profiles that track these. EV charging strongly follows domestic occupancy, especially as it relates to working patterns; the standard working day rhythms define and constrain EV charging patterns with weekend charging load different from weekdays. The EV charging practices show diurnal as well as seasonal patterns of activities. The EV load increases in winter months, likely due to battery charging demand (increased vehicle heating) and decreases in summer months (possibly) due to other factors such as summer holidays. This supports the predominant use the EV as a week-day car used to commute to work.

Citation

Capova, K., Wardle, R., Bell, S., Lyon, S., Bulkeley, H., Matthews, P., & Powells, G. (2015). High Level Summary of Learning: Electrical Vehicle Users. Northern Powergrid (Northeast) Limited, Northern Powergrid (Yorkshire) Plc, British Gas Trading Limited, University of Durham and EA Technology Ltd

Report Type Technical Report
Acceptance Date Jan 23, 2015
Publication Date Jan 23, 2015
Deposit Date Sep 29, 2015
Publicly Available Date Mar 28, 2024
Series Title Customer-Led Network Revolution
Publisher URL http://www.networkrevolution.co.uk/project-library/high-level-summary-learning-electric-vehicle-users/
Additional Information Publisher: Northern Powergrid (Northeast) Limited
Type: monograph
Subtype: technical_report

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