Firm level optimisation strategies for sustainable and cost effective electric vehicle workplace charging
Seger, Marcel and Brand, Christian and Clement, Christoph and Dixon, James and Wilson, Charlie (2025) Firm level optimisation strategies for sustainable and cost effective electric vehicle workplace charging. npj Sustainable Mobility and Transport, 2 (1). 11. ISSN 3004-8664 (https://doi.org/10.1038/s44333-025-00032-w)
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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.
ORCID iDs
Seger, Marcel, Brand, Christian, Clement, Christoph, Dixon, James
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Item type: Article ID code: 92373 Dates: DateEvent17 March 2025Published28 February 2025Accepted28 August 2024SubmittedSubjects: Geography. Anthropology. Recreation > Environmental Sciences
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 19 Mar 2025 11:08 Last modified: 26 Mar 2025 02:22 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/92373