Development and control of a rail vehicle model to reduce energy consumption and carbon dioxide emissions

Tim J. Harrison; William J.B. Midgley; Roger M. Goodall; Christopher P. Ward

doi:10.1177/0954409721993632

Development and control of a rail vehicle model to reduce energy consumption and carbon dioxide emissions

Tim J. Harrison, William J.B. Midgley, Roger M. Goodall, Christopher P. Ward

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

The development, validation and control of a modular model of a United Kingdom Class 800 train, which included carbon dioxide emissions data, was developed in MATLAB/Simulink. This model was validated against data obtained from a full day of rail journeys in the south-west of England. The validated model was used to develop control measures to reduce the carbon dioxide emissions of the train. Combining adaptive speed limit control with selective engine shutdown reduced the carbon dioxide emissions by 19.1% over a representative route without affecting the train’s on-time performance. The model was used to develop a tool for investigating the emissions benefits of (intermittent/discontinuous) route bi-mode train model is presented. A detailed electrification. This tool shows that electrification of a route can reduce the carbon dioxide emissions by 66%.

Original language	English
Pages (from-to)	1237-1248
Number of pages	12
Journal	Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
Volume	235
Issue number	10
Early online date	15 Feb 2021
DOIs	https://doi.org/10.1177/0954409721993632
Publication status	Published - 1 Nov 2021
Externally published	Yes

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title = "Development and control of a rail vehicle model to reduce energy consumption and carbon dioxide emissions",

abstract = "The development, validation and control of a modular model of a United Kingdom Class 800 train, which included carbon dioxide emissions data, was developed in MATLAB/Simulink. This model was validated against data obtained from a full day of rail journeys in the south-west of England. The validated model was used to develop control measures to reduce the carbon dioxide emissions of the train. Combining adaptive speed limit control with selective engine shutdown reduced the carbon dioxide emissions by 19.1% over a representative route without affecting the train{\textquoteright}s on-time performance. The model was used to develop a tool for investigating the emissions benefits of (intermittent/discontinuous) route bi-mode train model is presented. A detailed electrification. This tool shows that electrification of a route can reduce the carbon dioxide emissions by 66%.",

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note = "Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors gratefully acknowledge the financial support provided by RSSB for the project Decarbonising High-Speed Bi-Mode Railway Vehicles through Optimal Power Control (COF-IPS-02). Publisher Copyright: {\textcopyright} IMechE 2021. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",

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Development and control of a rail vehicle model to reduce energy consumption and carbon dioxide emissions. / Harrison, Tim J.; Midgley, William J.B.; Goodall, Roger M. et al.

In: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, Vol. 235, No. 10, 01.11.2021, p. 1237-1248.

Research output: Contribution to journal › Article › peer-review

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N1 - Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors gratefully acknowledge the financial support provided by RSSB for the project Decarbonising High-Speed Bi-Mode Railway Vehicles through Optimal Power Control (COF-IPS-02). Publisher Copyright: © IMechE 2021. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

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Development and control of a rail vehicle model to reduce energy consumption and carbon dioxide emissions

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