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A Tunnel Ventilation Control Algorithm by Using CO Density Prediction Algorithm  

Han Doyoung (Department of Mechanical Engineering, Kookmin University)
Yoon Jinwon (Graduate school of Mechanical Engineering, Kookmin University)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.16, no.11, 2004 , pp. 1035-1043 More about this Journal
Abstract
For a long road tunnel, a tunnel ventilation system may be used in order to reduce the pollution level below the required level. To control the tunnel pollution level, a closed loop control algorithm may be used. The feedforward prediction algorithm and the cascade control algorithm were developed to regulate the CO level in a tunnel. The feedforward prediction algorithm composed of the traffic estimation algorithm and the CO density prediction algorithm, and the cascade control algorithm composed of the jet fan control algorithm and the air velocity setpoint algorithm. The verification of control algorithms was carried out by dynamic models developed from the actual tunnel data. The simulation results showed that control algorithms developed for this study were effective for the control of the tunnel ventilation system.
Keywords
Road tunnel ventilation system; Cascade control; Feedforward control; Traffic estimation algorithm; CO density prediction algorithm; Jet fan control algorithm; Air velocity setpoint algorithm;
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