Firm level optimisation strategies for sustainable and cost effective electric vehicle workplace charging

Expanding electric vehicle (EV) charging infrastructure is essential for transitioning to an electrified mobility system. With rising EV adoption rates, firms face increasing regulatory pressure to build up workplace charging facilities for their employees. However, the impact of EV charging loads on businesses' specific electricity consumption profiles remains largely unknown. Our study addresses this challenge by presenting a mathematical optimisation model, available via an open-source web application, that empowers business executives to manage energy consumption effectively, enabling them to assess peak loads, charging costs and carbon emissions specific to their power profiles and employee needs. Using real-world data from a global car manufacturer in South East England, UK, we demonstrate that smart charging strategies can reduce peak loads by 28% and decrease charging costs and emissions by 9% compared to convenience charging. Our methodology is widely applicable across industries and geographies, offering data-driven insights for planning EV workplace charging infrastructure.

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Publication Details

Journal
npj Sustainable Mobility and Transport
Published
2025-03-17
DOI
https://doi.org/10.1038/s44333-025-00032-w
Citations
5
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
3.65

Funders

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article

Firm level optimisation strategies for sustainable and cost effective electric vehicle workplace charging

James Dixon, Christian Brand, Charlie Wilson, Christoph Clement et al.
5 citations
npj Sustainable Mobility and Transport
Electric Vehicles and Infrastructure
3.65
article

Firm level optimisation strategies for sustainable and cost effective electric vehicle workplace charging

James Dixon, Christian Brand, Charlie Wilson, Christoph Clement, Marcel Seger
article en
5 citations

Abstract

Expanding electric vehicle (EV) charging infrastructure is essential for transitioning to an electrified mobility system. With rising EV adoption rates, firms face increasing regulatory pressure to build up workplace charging facilities for their employees. However, the impact of EV charging loads on businesses' specific electricity consumption profiles remains largely unknown. Our study addresses this challenge by presenting a mathematical optimisation model, available via an open-source web application, that empowers business executives to manage energy consumption effectively, enabling them to assess peak loads, charging costs and carbon emissions specific to their power profiles and employee needs. Using real-world data from a global car manufacturer in South East England, UK, we demonstrate that smart charging strategies can reduce peak loads by 28% and decrease charging costs and emissions by 9% compared to convenience charging. Our methodology is widely applicable across industries and geographies, offering data-driven insights for planning EV workplace charging infrastructure.

npj Sustainable Mobility and TransportVol. 2(1)
University of Bern (CH), International Institute for Applied Systems Analysis (AT), University of Strathclyde (GB), University of Oxford (GB)
UK Energy Research Centre, European Research Council
Openalex Percentile: Top 8%
Electric Vehicles and Infrastructure
3.65
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