Theoretical Analysis of Longitudinal Ventilation System in a Road Tunnel for Predictive Control Based on Inertia Effect

Article Preview

Abstract:

Speed control of longitudinal ventilation systems in road tunnels is being combined with typical model predictive control (MPC) strategies which may bring huge energy saving potential to the system. Theoretical analysis of the inertia effect is presented based on the energy equation of one dimensional incompressible unsteady flow, step response model is chosen to describe the dynamic behaviors of the system. The results show that the effect of jet speed change on CO concentration is nonlinear within fan’s economical working range and the settling time of CO level has similar change trend with that of the flow field but is a little longer. The system settling time is longer when jet speed decreases than it increases and is related to the change extent of jet speed. The effect of traffic intensity on CO concentration can be regarded as linear disturbance to the system output. These results may provide useful indexes to control the tunnel ventilation system more economically and lay foundation for the application of predictive control strategy in the system.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 639-640)

Pages:

665-669

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. Hrbček, J. Spalek and V. Šimák: Process Model and Implementation the Multivariable ModelPredictive Control to Ventilation System, SAMI 2010-8th IEEE International Symposium on Applied Machine Intelligence and Informatics, January 28-30, 2010, Slovakia.

DOI: 10.1109/sami.2010.5423738

Google Scholar

[2] J. Hrbček, V. Šimák: Implementation of Multi-dimensional Model Predictive Control for CriticalProcess with Stochastic Behavior, Advanced Model Predictive Control, InTech, 2011.

DOI: 10.5772/16364

Google Scholar

[3] S.Q. Wang: Advanced Control technology and application, 1st Edition, Chemical Industry Press,2001, Beijing, China, P. 81-83.

Google Scholar

[4] I.R. Riess, G. Schneider and R. Brandt: On Longitudinal Ventilation and Congested Traffic, International Conference "Tunnel Safety and Ventilation", 2004, Graz.

Google Scholar

[5] WANG F, WANG M.N., ZHANG J.S., et al. Computational study of effects of jet fans on the ventilation of a highway curved tunnel, Tunneling and Underground space technology, Vol. 25 (2010), pp.382-390.

DOI: 10.1016/j.tust.2010.02.001

Google Scholar

[6] M. El-Fadel, Z. Hashisho: Vehicular Emissions in Roadway Tunnels: A Critical Review, Critical Reviews in Environmental Science and Technology, Vol. 31:2(2001), pp.125-174.

DOI: 10.1080/20016491089190

Google Scholar

[7] B.T. Emtsev, translated by X.F. Guan, H. Yu, Engineering Fluid Mechanics. Higher Education Press, Beijing, China, 1990.

Google Scholar

[8] M.L. Gao: Study of the Principle and Computational Method of Road Tunnel Ventilation Using Jet Fans, Journal of Lanzhou Railway College, Vol. 8:4(1989),pp.14-22.

Google Scholar

[9] F. LUKAŠ, M.GJERRIT: Finding Optimal Ventilation Control for Highway Tunnels, Tunnelling and Underground Space Technology, Vol. 22(2007), pp.222-229.

DOI: 10.1016/j.tust.2006.04.002

Google Scholar

[10] JTJ026.1-99, Specifications for Design of Ventilation and Lighting of Highway Tunnel, Beijing: Department of Transportation of China, 2000.

Google Scholar

[11] L. Zhang: Highway tunnel jet fan installation numerical simulation and fan parameter optimization(Master's thesis), Chongqing, Chongqing Jiaotong university, 2009.

Google Scholar