scholarly journals Analysis on the Energy Consumption of High-Speed Train

2017 ◽  
Vol 05 (04) ◽  
pp. 61-66
Author(s):  
海荣 孙
Keyword(s):  
Energy Consumption ◽  
High Speed ◽  
High Speed Train

scholarly journals Characteristics of airflow in the platform with high-speed train passing through the underground railway station

2020 ◽  
Vol 165 ◽  
pp. 04075
Author(s):  
Qizhang Li ◽  
Yongliang Xie
Keyword(s):  
Energy Consumption ◽  
High Speed ◽  
High Speed Train ◽  
Air Velocity ◽  
Railway Station ◽  
High Speed Railway ◽  
Air Conditioning System ◽  
Environment Control ◽  
Underground Railway ◽  
Waiting Line

Underground high-speed railway station is becoming more and more popular in recent years, due to its advantage in relieving the tense situation of urban construction land. HVAC (Heating, Ventilation and Air Conditioning) system of underground railway station consumes large energy, therefore it is necessary to find a way to decrease the energy consumption in stations. Reasonable ventilation and air organization are the basis of energy-saving design of environment control system in stations. The energy consumption could be reduced greatly by utilizing the piston wind properly. In the present work, airflow characteristics in the station are investigated when high-speed train is passing through the underground railway station with CCM+ software. Results show that piston wind has different effects on airflow in the platform when the high-speed train is running. However, the air velocity in the platform is always lower than 5 m/s. In order to analyse the effect of piston wind on the airflow in the platform in more detail, the velocities and temperatures at waiting line are extracted. The air velocity near two ends of platform is larger and the similar results could also be observed for temperatures.

scholarly journals Optimization of High-Speed Train Control Strategy for Traction Energy Saving Using an Improved Genetic Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Ruidan Su ◽  
Qianrong Gu ◽  
Tao Wen
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Control Strategy ◽  
High Speed ◽  
Energy Savings ◽  
Fitness Function ◽  
High Speed Train ◽  
Improved Genetic Algorithm ◽  
Running Time ◽  
Train Control

A parallel multipopulation genetic algorithm (PMPGA) is proposed to optimize the train control strategy, which reduces the energy consumption at a specified running time. The paper considered not only energy consumption, but also running time, security, and riding comfort. Also an actual railway line (Beijing-Shanghai High-Speed Railway) parameter including the slop, tunnel, and curve was applied for simulation. Train traction property and braking property was explored detailed to ensure the accuracy of running. The PMPGA was also compared with the standard genetic algorithm (SGA); the influence of the fitness function representation on the search results was also explored. By running a series of simulations, energy savings were found, both qualitatively and quantitatively, which were affected by applying cursing and coasting running status. The paper compared the PMPGA with the multiobjective fuzzy optimization algorithm and differential evolution based algorithm and showed that PMPGA has achieved better result. The method can be widely applied to related high-speed train.

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