Optimal Ventilation Control in Complex Urban Tunnels with Multi-Point Pollutant Discharge

Gao, H. Oliver; Tan, Zhen; Cornell University. Dept. of Civil Environmental Engineering; United States. Dept. of Transportation

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Optimal Ventilation Control in Complex Urban Tunnels with Multi-Point Pollutant Discharge

2017-10-01
By Gao, H. Oliver ; Tan, Zhen

[PDF-651.52 KB]

English

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Details:

Creators:

Gao, H. Oliver ; Tan, Zhen

Gao, H. Oliver ; Tan, Zhen Less -
Corporate Creators:

Cornell University. Dept. of Civil Environmental Engineering ; United States. Dept. of Transportation

Cornell University. Dept. of Civil Environmental Engineering ; United States. Dept. of Transportation Less -
Subject/TRT Terms:

[+]

Air Pollution Air Quality Nonlinear Programming Optimization Tunnels Urban Areas Urban Tunnels Vehicular Tunnels Ventilation Control Ventilation Systems
Resource Type:

Tech Report
Geographical Coverage:

China
Corporate Publisher:

University of South Florida. Center for Transportation, Environment, and Community Health
NTL Classification:

NTL-ENERGY AND ENVIRONMENT-ENERGY AND ENVIRONMENT;NTL-HIGHWAY/ROAD TRANSPORTATION-Bridges and Structures;
Abstract:

Zhen Tan (ORCID ID 0000-0003-1711-3557) H. Oliver Gao (ORCID ID 0000-0002-7861-9634) We propose an optimal ventilation control model for complex urban vehicular tunnels with distributed pollutant discharge points. The control problem is formulated as a nonlinear integer program that aims to minimize ventilation energy cost while meeting multiple air quality control requirements inside the tunnel and at discharge points. Based on the steady-state solutions to tunnel aerodynamics equations, we propose a reduced form model for air velocities as explicit functions of ventilation decision variables and traffic density. A compact parameterization of this model helps to show that tunnel airflows can be estimated using standard linear regression techniques. The steady-state pollutant dispersion model is then incorporated for the derivation of optimal pollutant discharge control strategies. A case study of a new urban tunnel in Hangzhou, China demonstrates that the scheduling of fan operations based on the proposed optimization model can effectively achieve different air quality control objectives under varying traffic intensity. 17.
Content Notes:

Both authors have ORCID #'s: Zhen Tan (ORCID ID 0000-0003-1711-3557) H. Oliver Gao (ORCID ID 0000-0002-7861-9634)
Format:

PDF
Alternate URL:

https://cpb-us-west-2-juc1ugur1qwqqqo4.stackpathdns.com/sites.coecis.cornell.edu/dist/6/132/files/2017/11/CU_YR1_GAO_FINAL_OPTIMAL-VENTILATION-21y3ms9.pdf
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:9643160f9fce0d37fbf81e4d45c3df77d4d54ba08e7b2deb058b65a414288983
Download URL:

https://rosap.ntl.bts.gov/view/dot/35667/dot_35667_DS1.pdf
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Optimal Ventilation Control in Complex Urban Tunnels with Multi-Point Pollutant Discharge

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