Design of Energy-Efficient Train Speed Profiles Considering Fixed-Block Signalling System

Oba, Naoki; Miyatake, Masafumi

doi:10.1541/ieejias.138.282

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…The advantages and problems mentioned regarding battery trains can be also considered in terms of the high demand for energy saving. Much effort has been made toward energy saving in railways, including derivation of optimal operation methods 10–13 and optimization of train schedules 14,15 . In addition, some attempts have been made to target battery trains 16–21 .…”

Section: Introductionmentioning

confidence: 99%

Optimization of train timetables and placement of charging facilities for battery‐powered LRT

Horiuchi,

Miyatake

2023

Electrical Engineering Japan

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The energy consumption of a battery‐powered train in an interstation depends on the running time and state of energy (SOE) at departure. In this paper, we develop an optimization method of train timetables to minimize energy consumption in line with several stations. The variables in this proposed optimization model are running, dwell, and charging times as real numbers and places of charging facilities as binaries. Additionally, we conducted a case study using the real‐world light rail transit (LRT) route, vehicle, and onboard battery model to confirm the effectiveness. In the case study, the proposed method can optimize the timetable and placement of charging facilities by considering the track gradient and battery SOE.

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Section: Introductionmentioning

confidence: 99%

Optimization of train timetables and placement of charging facilities for battery‐powered LRT

Horiuchi,

Miyatake

2023

Electrical Engineering Japan

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“…On the other hand, the intrinsic features of rail mission profiles (MPs), which are less uncertain and subject to unpredictable traffic conditions, as compared to the automotive sector, allow using the outcomes 34 to derive onboard applicable heuristic rules. Moreover, the development of electronic horizon prediction tools, 35 as well as the optimal train speed-profile definition, 36 provides further room for exploitation, particularly to apply the DP methodology for a quasi-real-time adaptation of control rules. 37 As for the latter aim, the modeling simplification proposed and discussed later in the paper will act as an additional contribution to the field.…”

Section: Introductionmentioning

confidence: 99%

Application of dynamic programming to optimal energy management of grid-independent hybrid railcars

Sorrentino

Agbli²,

Hissel

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part F:

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In this paper, a dynamic programming-based optimization analysis is performed to quantitatively assess the energy-saving potential associated to the battery hybridization of railcars, which is nowadays regarded as a high-potential solution to reduce the greenhouse-gas impact of regional trains. A computationally effective longitudinal model is first developed, starting from an available energetic macroscopic representation modeling tool. The resulting simplified railcar model was first integrated with a battery state of charge simulator and then embedded within a fast constrained optimization algorithm. The optimization outcomes, reachable within reasonable timeframe and considering cost-effective hybridization scenarios, are highly informative for train manufacturers and operators interested in substantial hybridization of railcars. Particularly, fuel savings as high as 18% can be achieved with respect to the current diesel-powered trains. As a consequence, useful design and control guidelines are made available, considering both retrofitting or replacing the existing railway systems (particularly focusing on regional trains), while coping with capital and operating costs, safety, and traffic constraints.

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Multi-scene design analysis of integrated energy system based on feature extraction algorithm

et al. 2022

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Design of Energy-Efficient Train Speed Profiles Considering Fixed-Block Signalling System

Cited by 6 publications

References 2 publications

Optimization of train timetables and placement of charging facilities for battery‐powered LRT

Optimization of train timetables and placement of charging facilities for battery‐powered LRT

Application of dynamic programming to optimal energy management of grid-independent hybrid railcars

Multi-scene design analysis of integrated energy system based on feature extraction algorithm

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