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

Author

Listed:
  • Kyoungho Ahn

    (Virginia Tech Transportation Institute, Blacksburg, VA 24061, USA)

  • Ahmed Aredah

    (Virginia Tech Transportation Institute, Blacksburg, VA 24061, USA)

  • Hesham A. Rakha

    (Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA)

  • Tongchuan Wei

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

  • H. Christopher Frey

    (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.

Suggested Citation

  • Kyoungho Ahn & Ahmed Aredah & Hesham A. Rakha & Tongchuan Wei & H. Christopher Frey, 2023. "Simple Diesel Train Fuel Consumption Model for Real-Time Train Applications," Energies, MDPI, vol. 16(8), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3555-:d:1128049
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    References listed on IDEAS

    as
    1. Yuan, Weichang & Frey, H. Christopher, 2020. "Potential for metro rail energy savings and emissions reduction via eco-driving," Applied Energy, Elsevier, vol. 268(C).
    2. Haahr, Jørgen Thorlund & Pisinger, David & Sabbaghian, Mohammad, 2017. "A dynamic programming approach for optimizing train speed profiles with speed restrictions and passage points," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 167-182.
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    Cited by:

    1. Marian Kampik & Krzysztof Bodzek & Anna Piaskowy & Adam Pilśniak & Marcin Fice, 2023. "An Analysis of Energy Consumption in Railway Signal Boxes," Energies, MDPI, vol. 16(24), pages 1-21, December.
    2. Aredah, Ahmed & Du, Jianhe & Hegazi, Mohamed & List, George & Rakha, Hesham A., 2024. "Comparative analysis of alternative powertrain technologies in freight trains: A numerical examination towards sustainable rail transport," Applied Energy, Elsevier, vol. 356(C).
    3. Aredah, Ahmed & Fadhloun, Karim & Rakha, Hesham A., 2024. "Energy optimization in freight train operations: Algorithmic development and testing," Applied Energy, Elsevier, vol. 364(C).

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