Assessment of Railway Train Energy Efficiency and Safety Using Real-time Track Condition Information

Autor: Zdenko Kljaić, Mihael Cipek, Danijel Pavković, Tomislav J. Mlinarić
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Sustainable Development of Energy, Water and Environment Systems, Vol 9, Iss 2, Pp 1-20 (2021)
Druh dokumentu: article
ISSN: 1848-9257
DOI: 10.13044/j.sdewes.d8.0352
Popis: This paper presents the use of track condition data from the virtual remote wireless sensor network within a simulation model of a battery-hybrid diesel-electric locomotive-driven freight train for a realistic mountain railway route simulation scenario. Simulation model includes the point-mass model of freight train longitudinal motion dynamics subject to wheel-to-track adhesion and head wind variations, the model of hybrid diesel-electric locomotive energy efficiency, and the model of real-time information provide to the virtual train driver about railway track conditions based on a narrow-band wireless remote sensor network. Simulation results are used to assess the possible benefits remote wireless sensor data for freight train energy-optimal control and to increase the transportation safety, including prediction of possible delays due to changed weather conditions en route.
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