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Frontiers of Engineering Management

Front. Eng    2019, Vol. 6 Issue (2) : 139-151     https://doi.org/10.1007/s42524-019-0030-7
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Energy-saving operation approaches for urban rail transit systems
Ziyou GAO, Lixing YANG()
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
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Abstract

With the accelerated urbanization in China, passenger demand has dramatically increased in large cities, and traffic congestion has become serious in recent years. Developing public urban rail transit systems is an indispensable approach to overcome these problems. However, the high energy consumption of daily operations is an emerging issue due to increased rail transit networks and passenger demands. Thus, reducing the energy consumption and operational cost by using advanced optimization methodologies is an urgent task for operation managers. This work systematically introduces energy-saving approaches for urban rail transit systems in three aspects, namely, train speed profile optimization, utilization of regenerative energy, and integrated optimization of train timetable and speed profile. Future research directions in this field are also proposed to meet increasing passenger demands and network-based urban rail transit systems.

Keywords urban rail transit      energy saving      speed profile optimization      regenerative energy      train timetable     
Corresponding Authors: Lixing YANG   
Just Accepted Date: 29 March 2019   Online First Date: 29 April 2019    Issue Date: 17 May 2019
 Cite this article:   
Ziyou GAO,Lixing YANG. Energy-saving operation approaches for urban rail transit systems[J]. Front. Eng, 2019, 6(2): 139-151.
 URL:  
http://journal.hep.com.cn/fem/EN/10.1007/s42524-019-0030-7
http://journal.hep.com.cn/fem/EN/Y2019/V6/I2/139
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Ziyou GAO
Lixing YANG
Energy loss Regenerative energy Total energy
Braking loss Resistance Traction loss
10.9% 17% 30.1% 42% 100%
Tab.1  Composition of traction energy consumption
Fig.1  Recommended and actual speed profiles
Fig.2  GA for optimization of train speed profile
Storage methods Advantages Disadvantages
Battery energy storage Good property in energy saving
High energy density
Expensive equipment cost
Short battery life
Environment pollution
Flywheel energy storage Quick charge
Long life
Eco-friendly
Complex operation system
High requirement for working environment
Super capacitor energy storage Quick charge and discharge
Long life
Good property in energy saving
Expensive equipment cost
Tab.2  Comparison of three energy storage methods
Fig.3  Schematic of the utilization of regenerative braking energy
Fig.4  Storage and utilization of regenerative braking energy
Fig.5  Integrated optimization of train scheduling and operations
Fig.6  Improving the utilization of regenerative energy by matching the departure times of trains
Fig.7  Speed profiles under different levels
Fig.8  Illustration of the space–time network
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