Simple Diesel Train Fuel Consumption Model for Real-Time Train Applications

Author:

Ahn Kyoungho1ORCID,Aredah Ahmed1ORCID,Rakha Hesham A.2ORCID,Wei Tongchuan3,Frey H. Christopher3ORCID

Affiliation:

1. Virginia Tech Transportation Institute, Blacksburg, VA 24061, USA

2. Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA

3. Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27695, USA

Abstract

This paper introduces a simple diesel train energy consumption model that calculates the instantaneous energy consumption using vehicle operational input variables, including the instantaneous speed, acceleration, and roadway grade, which can be easily obtained from global positioning system (GPS) loggers. The model was tested against real-world data and produced an error of −1.33% for all data and errors ranging from −12.4% to +8.0% for energy consumption of four train datasets amounting to a total of 5854 km trips. The study also validated the proposed model with separate data that were collected between Valencia and Cuenca, Spain, which had a total length of 198 km and found that the model was accurate, yielding a relative error of −1.55% for the total energy consumption. These results show that the proposed model can be used by train operators, transportation planners, policy makers, and environmental engineers to evaluate the energy consumption effects of train operational projects and train simulation within intermodal transportation planning tools.

Funder

United State Department of Energy

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference27 articles.

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2. U.S. Department of Transportation (2022, December 10). Bureau of Transportation Statistics, Available online: https://www.bts.gov/.

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4. Optimal driving strategy for traction energy saving on DC suburban railways;Bocharnikov;IET Electr. Power Appl.,2007

5. Modeling and optimizing energy-efficient manual driving on high-speed lines;Sicre;IEEJ Trans. Electr. Electron. Eng.,2012

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