Regenerative braking in high speed railway applications: Analysis by different simulation tools

Ceraolo, Massimo; Lutzemberger, Giovanni; Frilli, Amedeo; Pugi, Luca

doi:10.1109/eeeic.2016.7555474

Cited by 16 publications

(13 citation statements)

References 11 publications

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“…Using for‐loops such as this one, it is easy to create an electric network connecting a generic number of FSSs and trains and even do more complex tasks, for instance, creating two‐way railway networks. This was, for instance, effectively done when performing studies …”

Section: Technical Issues Tackled and Solvedmentioning

confidence: 99%

“…Under this general hypothesis, it was obtained from simulation full energy savings equal to about 797 MWh per year . The quantification of the corresponding money advantage has been calculated by considering the current price of energy in Italy and storage system costs.…”

Section: Summarizing Case Studiesmentioning

confidence: 99%

“…Under this general hypothesis, it was obtained from simulation full energy savings equal to about 797 MWh per year. 26 The quantification of the corresponding money advantage has been calculated by considering the current price of energy in Italy and storage system costs. It was shown that the payback time of the proposed system is about half of the system useful life, thus being aligned to the previous results, which referred to tramway systems.…”

Section: Regenerative Braking In High-speed Trains and In Large Railwmentioning

confidence: 99%

“…Results have shown that the installation of one stationary storage system of about 1.7 MWh allows a small payback time, less than 2 years, including the effects of auxiliary loads …”

Section: Summarizing Case Studiesmentioning

confidence: 99%

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Use of Modelica language to simulate electrified railway lines and trains

Ceraolo

Lutzemberger

2019

Softw Pract Exp

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Summary Simulation of multi‐engineering systems typically requires many issues to be solved, which are to be addressed by developing appropriate modeling and simulation programming techniques. In the last years, the authors have participated in several studies in which they analyzed in detail electrified railway systems and simulated them using Modelica language. After a few years of study, despite the huge complexity of these systems, it has appeared evident that Modelica language is very well suited and able to effectively solve the typical issues they present. While specific railway system simulations have already been discussed in specific papers, whose focus was on application and actual results, in this paper, the authors show how to use Modelica language to solve specific modeling issues through suitable programming techniques. Moreover, the issues to be solved and the conceived techniques may be interpreted in a general way and to be applied also in different engineering domains. Finally, this paper briefly recalls the principal results obtained in previous specific papers, in which these techniques were fully implemented.

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Section: Technical Issues Tackled and Solvedmentioning

confidence: 99%

Section: Summarizing Case Studiesmentioning

confidence: 99%

Section: Regenerative Braking In High-speed Trains and In Large Railwmentioning

confidence: 99%

“…Results have shown that the installation of one stationary storage system of about 1.7 MWh allows a small payback time, less than 2 years, including the effects of auxiliary loads …”

Section: Summarizing Case Studiesmentioning

confidence: 99%

See 2 more Smart Citations

Use of Modelica language to simulate electrified railway lines and trains

Ceraolo

Lutzemberger

2019

Softw Pract Exp

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“…The validation has been performed considering a traction phase of the train in a brief part of the line. Then, the model realised in Modelica language has been validated on the same case study, as shown in [30].…”

Section: Introductionmentioning

confidence: 99%

Energy storage systems to exploit regenerative braking in DC railway systems: Different approaches to improve efficiency of modern high-speed trains

Ceraolo

Lutzemberger

Meli

et al. 2018

Journal of Energy Storage

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The growing attention to environmental sustainability of transport systems made necessary to investigate the possibility of energy optimization even in sectors typically characterized by an already high level of sustainability, as in particular the railway system. One of the most promising opportunity is the optimization of the braking energy recovery, which has been already considered in tramway systems, while it is traditionally overlooked for high-speed railway systems. In this research work, the authors have developed two simulation models able to reproduce the behavior of high-speed trains when entering in a railway node, and to analyze the impact of regenerative braking in DC railway systems, including usage of energy storage systems. These models, developed respectively in the Matlab-Simscape environment and in the open source Modelica language, have been experimentally validated considering an Italian high-speed train. After validation, the authors have performed a feasibility analysis considering the use of stationary and on-board storage systems, also by taking into account capital costs of the investment and annual energy saving, to evaluate costeffectiveness of the different solutions. The analysis has shown the possibility to improve the efficiency of high-speed railway systems, by improving braking energy recovery through the installation of such storage systems.

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