Influence of train arrival characteristics on unorganized ventilation in underground subway station with platform screen doors

Unorganized ventilation significantly increases the energy consumption of subway stations. Many factors affect unorganized ventilation, and its variation is still not clear. This study established a validated network model using Subway Environment Simulation and developed two general scripts to inve...

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Veröffentlicht in:Journal of wind engineering and industrial aerodynamics 2020-03, Vol.198, p.104089, Article 104089
Hauptverfasser: Hu, Mengqiang, Liu, Meng, You, Di, Zhang, Yizhi
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Sprache:eng
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Zusammenfassung:Unorganized ventilation significantly increases the energy consumption of subway stations. Many factors affect unorganized ventilation, and its variation is still not clear. This study established a validated network model using Subway Environment Simulation and developed two general scripts to investigate changes in the unorganized ventilation with varying train arrival characteristics, including the train arrival density and arrival time interval for two-side trains. Furthermore, the cooling load caused by the airflow was calculated. The results reveal that the train arrival density changes the superposition of the unorganized ventilation caused by the previous and next pairs of trains, and it also determines the location and state of the existing trains in the tunnel. That affects the unorganized ventilation in the station. The arrival time interval changes the “phase difference” of airflow generated by each side trains. The cooling load caused by unorganized ventilation is much larger than the current perception. Controlling the mechanical ventilation based on the unorganized ventilation rate and optimizing the arrival time interval can reduce the load markedly. Besides, low indoor temperature results in a significant increase in cooling load. •A simplified network model with three typical island platform stations is established using SES.•The influence of the train arrival density and arrival time interval distribution is investigated.•Two general scripts are developed using Matlab to speed up the simulation.•The cooling load is much larger than the value obtained without the calculation of unorganized ventilation.•Low indoor temperature increases the cooling load significantly.
ISSN:0167-6105
1872-8197
DOI:10.1016/j.jweia.2019.104089