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An investigation into intermittent electrification strategies and an analysis of resulting CO2 emissions using a high-fidelity train model

journal contribution
posted on 08.07.2021, 08:01 by Bilale Abudureheman, Tim Harrison, Christopher Ward, Will Midgley
A near-term strategy to reduce emissions from rail vehicles, as a path to full electrification for maximal decarbonisation, is to partially electrify a route, with the remainder of the route requiring an additional self-powered traction option. These rail vehicles are usually powered by a diesel engine when not operating on electrified track and are referred to as bi-mode vehicles. This paper analyses the benefits of discontinuous electrification compared to continuous electrification using the CO2 estimates from a validated high-fidelity bi-mode (diesel-electric) rail vehicle model. This analysis shows that 50% discontinuous electrification provides a maximum of 54% reduction in operational CO2 emissions when compared to the same length of continuously electrified track. The highest emissions savings occurred when leaving train stations where vehicles must accelerate quickly to line speed. These results were used to develop a linear regression model for fast estimation of CO2 emissions from diesel running and electrification benefits. This model was able to estimate the CO2 emissions from a route to within 10% of that given by the high-fidelity model. Finally, additional considerations such as cost and the embodied CO2 in electrification infrastructure were analysed to provide a comparison between continuous and discontinuous electrification. Discontinuous electrification can cost up to 56% less per reduction in lifetime emissions than continuous electrification and can save up to 2.3 times more lifetime CO2 per distance electrified.

Funding

EPSRC’s DTE Network+ (EP/S032053/1)

RSSB (COF-IPS-02)

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Railway Engineering Science

Publisher

Springer

Version

AM (Accepted Manuscript)

Publisher statement

This is a post-peer-review, pre-copyedit version of an article published in Railway Engineering Science. The final authenticated version is available online at: http://dx.doi.org/[insert DOI]”

Acceptance date

01/07/2021

ISSN

2662-4745

eISSN

2662-4753

Language

en

Depositor

Dr Will Midgley. Deposit date: 6 July 2021

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