Abstract
To make the longitudinal ventilation systems more efficient and energy saving in road tunnels, it is being combined with typical model predictive control (MPC) strategies. Good application of such method is based on a comprehensive understanding of the system characteristics. Using CFD (Computational Fluid Dynamics) simulation, step response model is chosen to describe the dynamic behaviors of the system in a road tunnel with comprehensive health-related indexes which is difficult to obtain by field measurement. The results show that the "Fan Model", which characterizes the effect of jet speed on CO (carbon monoxide) concentration, is approximately bilinear within fan's economical working range and system settling time is longer when jet speed decreases than it increases. The "Tunnel tube model", which characterizes the effect of traffic intensity on CO concentration, links to traffic flow features, and has a similar settling time in normal operation and a traffic-speed-related delay time when maximum CO concentration is considered. This can provide guidance or index to control the tunnel ventilation system economically and useful data to implement MPC strategy in the system.
| Original language | English |
|---|---|
| Title of host publication | 2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1471-1476 |
| Number of pages | 6 |
| ISBN (Print) | 9781467330640 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012 - Anchorage, AK, United States Duration: 16 Sept 2012 → 19 Sept 2012 |
Publication series
| Name | IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC |
|---|---|
| ISSN (Print) | 2153-0009 |
| ISSN (Electronic) | 2153-0017 |
Conference
| Conference | 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012 |
|---|---|
| Country/Territory | United States |
| City | Anchorage, AK |
| Period | 16/09/12 → 19/09/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
ASJC Scopus subject areas
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications
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