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Journal of Mining Sciences

2022 year, number 4

An Automatic Control Algorithm for Air Flow Rate at a Subway Station Platform under the Impact of Piston Effect

D. V. Zedgenizov
Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
Keywords: Tunnel fan, rotor speed, air flow rate, piston effect, flap air governor, air distribution, control quality, subway

Abstract

The author proposes a determination procedure for calibration factors for current frequency converter of a tunnel fan motor with regard to air flow rate control time at each train density. The ranges of three quality criteria of ventilation control in subways are determined. The ventilation energy consumption at a subway station is analyzed as function of an opening angle of air governor flaps in the ventilation connection at the station, and the economic runs are selected for the flap air governor. The change in the air flow rate at a station versus the flap air governor setting angle serves the basis to create the automatic air control algorithm for a shallow subway with ventilation due to the piston effect in the absence of tunnel fans. The algorithm allows maintenance of the required air renewal at subway stations in rush hours.