Energies (Jul 2022)

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

  • Ning Zhao,
  • Zhongbei Tian,
  • Stuart Hillmansen,
  • Lei Chen,
  • Clive Roberts,
  • Shigen Gao

DOI
https://doi.org/10.3390/en15134879
Journal volume & issue
Vol. 15, no. 13
p. 4879

Abstract

Read online

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.

Keywords