Korean Journal of Air-Conditioning and Refrigeration Engineering (설비공학논문집)

The Society of Air-Conditioning and Refrigerating Engineers of Korea (대한설비공학회)
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A Tunnel Ventilation Control Algorithm by Using CO Density Prediction Algorithm

일산화탄소 농도 예측 기능을 사용한 터널 환기 제어 알고리즘

  • Han Doyoung (Department of Mechanical Engineering, Kookmin University) ;
  • Yoon Jinwon (Graduate school of Mechanical Engineering, Kookmin University)
  • 한도영 (국민대학교 기계/자동차공학부) ;
  • 윤진원 (국민대학교 기계공학과 대학원)
  • Published : 2004.11.01
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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

References

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