Comparison of Passenger Rail Energy Consumption with Competing Modes

RailTEC,; Transcom, Cpcs

doi:10.17226/22083

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…Basic models used for the simulation of transportation systems usually disregard important parameters. For instance, they assume constant values of supply voltage and efficiency factors in timetabling [1,2] or algorithm-focused energy optimization [3]. Such models are easy to implement and, because of the simplifications, their ease of use is very high.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Electrified Transportation Systems Featuring Multiple Vehicles and Complex Power Supply Layout

et al. 2021

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The paper proposes a novel approach to modeling electrified transportation systems. The proposed solution reflects the mechanical dynamics of vehicles as well as the distribution and losses of electric supply. Moreover, energy conversion losses between the mechanical and electrical subsystems and their bilateral influences are included. Such a complete model makes it possible to replicate, e.g., the impact of voltage drops on vehicle acceleration or the necessity of partial disposal of regenerative braking energy due to temporary lack of power transmission capability. The modeling methodology uses a flexible twin data-bus structure, which poses no limitation on the number of vehicles and enables modeling complex traction power supply structures. The proposed solution is suitable for various electrified transportation systems including suburban and urban systems. The modeling methodology is applicable i.a. to Matlab/Simulink, which makes it broadly available and customizable, and provides short computation time. The applicability and accuracy of the method were verified by comparing simulation and measurement results on an exemplary trolleybus system operating in Pilsen, Czech Republic. Simulation of daily operation of an area including four supply sections and maximal simultaneous number of nine vehicles showed a good conformance with the measured data, with the difference in the total consumed energy not exceeding 5%.

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Section: Introductionmentioning

confidence: 99%

Modeling of Electrified Transportation Systems Featuring Multiple Vehicles and Complex Power Supply Layout

et al. 2021

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Quantification of Energy Saving Potential for A Passenger Train Based on Inter-Run Variability in Speed Trajectories

Yuan

Frey

Rastogi

2019

Transportation Research Record

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Passenger train energy consumption is dependent on speed trajectories. The variability of passenger train energy consumption owing to the variability in speed trajectories can help identify ways to reduce train energy use via improved operations. Empirical fuel use data from a portable measurement emission measurement system (PEMS) and empirical speed trajectories measured using a global positioning system (GPS) receiver were used to verify and quantify real-world energy consumption variability and the variability in empirical speed trajectories, respectively. To identify potential realistic speed trajectories that can lead to energy saving (i.e., eco-driving), a Markov chain based speed trajectory simulator was used to simulate inter-run variability in speed trajectories. An energy index model (EIM) was used to compare energy consumption among different speed trajectories. The results show inter-run variability in fuel use associated with inter-run variability in the empirical speed trajectories. There is also inter-segment variability in fuel use related to the segment length and grade. The Markov chain based speed trajectory simulator can simulate realistic inter-run variability in speed trajectories based on calibration using empirical speed trajectories. The number of empirical speed trajectories used for simulator calibration affects the range of simulated inter-run variability. The EIM provides an accurate estimation of the empirical fuel use. Eco-driving, such as reducing the peak speed, can reduce energy consumption without compromising travel time. The methodology shown in this study is not system-specific and can be applied to other passenger train systems.

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Comparison of Passenger Rail Energy Consumption with Competing Modes

Cited by 2 publications

References 22 publications

Modeling of Electrified Transportation Systems Featuring Multiple Vehicles and Complex Power Supply Layout

Modeling of Electrified Transportation Systems Featuring Multiple Vehicles and Complex Power Supply Layout

Quantification of Energy Saving Potential for A Passenger Train Based on Inter-Run Variability in Speed Trajectories

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