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Timetable Optimization and Trial Test for Regenerative Braking Energy Utilization in Rapid Transit Systems

Author

Listed:
  • Ning Zhao

    (School of Engineering, University of Birmingham, Birmingham B15 2TT, UK)

  • Zhongbei Tian

    (School of Engineering, University of Liverpool, Liverpool L69 7ZX, UK)

  • Stuart Hillmansen

    (School of Engineering, University of Birmingham, Birmingham B15 2TT, UK)

  • Lei Chen

    (School of Engineering, University of Birmingham, Birmingham B15 2TT, UK)

  • Clive Roberts

    (School of Engineering, University of Birmingham, Birmingham B15 2TT, UK)

  • Shigen Gao

    (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Rapid transit systems play a significant role in supporting rapid social and economic development in large cities all over the world. However, the systems consume a large amount of energy, which brings increasing environmental concerns. A number of energy-saving technologies have been studied on railways. However, few of the outcomes have been tested and evaluated in practice. This paper presents the development of a timetable optimization and trial test on a metro line to reach the full potential of the train regenerative braking system. To achieve this purpose, a timetable optimization algorithm has been developed, and a trial test of the optimal timetable has been arranged on a metro line for a whole day. In the test, all the trains running in the network were organized to operate in accordance with the optimal timetable. The trial test results indicate that by applying the optimal timetable, the regenerative braking energy utilization can be improved, thereby reducing the overall network energy usage.

Suggested Citation

  • Ning Zhao & Zhongbei Tian & Stuart Hillmansen & Lei Chen & Clive Roberts & Shigen Gao, 2022. "Timetable Optimization and Trial Test for Regenerative Braking Energy Utilization in Rapid Transit Systems," Energies, MDPI, vol. 15(13), pages 1-9, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4879-:d:854635
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    Cited by:

    1. Arkadiusz Kampczyk & Wojciech Gamon & Katarzyna Gawlak, 2023. "Integration of Traction Electricity Consumption Determinants with Route Geometry and Vehicle Characteristics," Energies, MDPI, vol. 16(6), pages 1-23, March.

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