Abstract
This paper describes a new ventilation control method for the Mt. Ena Tunnel(1) of Chuo Expressway in Japan, the second longest road tunnel (8.5 km) in the world. The whole tunnel is divided into four sections, each of which has four ventilation fans driven by variable speed thyristor motors. We study a predictive control strategy, based on a dynamic model of ventilation in the tunnel. Our control method aims to ventilate with minimum cost, while keeping pollutant concentrations of the carbon monoxide gas and the smoked gas under permission levels. The problem is formulated in a typical regulator problem with quadratic performance index. The on-line ventilation control is performed by using a computer. The results of simulations and field tests on the Mt. Ena Tunnel show that the proposed control system is more effective and less costly than the conventional ones.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
