Simple Diesel Train Fuel Consumption Model for Real-Time Train Applications
Kyoungho Ahn (),
Ahmed Aredah,
Hesham A. Rakha,
Tongchuan Wei and
H. Christopher Frey
Additional contact information
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
Energies, 2023, vol. 16, issue 8, 1-15
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.
Keywords: diesel train; energy consumption model; train simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:8:p:3555-:d:1128049
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