Spatiotemporal distribution of traffic emission based on wind tunnel experiment and computational fluid dynamics (CFD) simulation

被引:0
|
作者
Sun, Daniel [1 ,2 ]
Shi, Xueqing [1 ]
Zhang, Ying [3 ]
Zhang, Lihui [4 ]
机构
[1] Shanghai Jiao Tong Univ, Smart City & Intelligent Transportat Ctr, Sch Naval Architecture Ocean & Civil Engn, Dept Transportat & Shipping Logist,China Inst Urb, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China
[3] Shanghai Municipal Engn Design Inst Grp Co Ltd, Shanghai 200092, Peoples R China
[4] Zhejiang Univ, Coll Civil & Architecture Engn, Hangzhou 310058, Peoples R China
基金
中国国家自然科学基金;
关键词
Traffic-related pollutants; Dispersion modeling; CFD; Wind tunnel test; CO; GREENHOUSE-GAS EMISSIONS; POLLUTANT DISPERSION; STREET CANYONS; AIR-POLLUTION; SUPPLIER SELECTION; MOTOR-VEHICLES; BLACK CARBON; URBAN AREA; PARTICLES; TRANSPORTATION;
D O I
10.1016/j.jclepro.2020.124495
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the increasing urbanization and motorization, transportation has become one of the primary sources of carbon emission and air pollution, causing serious diseases to city residents. This study focuses on assessing pollutant dispersion patterns under multi-scenario situations and verifying the effectiveness of computational fluid dynamics (CFD) numerical simulation model using wind tunnel experiments and field measurements. A single-vehicle model was built to obtain the spatiotemporal distribution of Carbon Monoxide (CO) concentrations around the vehicle. Pressure coefficients of monitoring points were measured to compare with the values from the wind tunnel test. Then, numerical simulations were extended to car-following platoon and empirical street canyon scenarios. On-site measurements were carried out to ensure that the CFD model reflects the actual flow field around a vehicle in a certain precision range for given experimental design. The results indicated that the traffic-related pollutants were concentrated in the semicircle with the exhaust pipe as the center, with a radius of 1.5 m behind the vehicle. The podium building structure in the street perpendicular to the prevailing wind direction tends to induce the deposition of pollutants at the corner and bottom of the podium. Exhaust concentration at the right-angle area of a podium building on the leeward side of the wind direction is 221.1% higher than that in the windward side. Findings of this study may shed light on the street architecture design and the future applications of CFD model to estimate pollutant concentration along urban street canyons, thus to eventually improve urban environmental sustainability. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Spatiotemporal distribution of traffic emission based on wind tunnel experiment and computational fluid dynamics (CFD) simulation
    Sun, Daniel
    Shi, Xueqing
    Zhang, Ying
    Zhang, Lihui
    [J]. Journal of Cleaner Production, 2021, 282
  • [2] Virtual wind tunnel test based computational fluid dynamics
    Zhang, Ying-Chao
    Zhang, Zhe
    Li, Jie
    [J]. Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2010, 40 (SUPPL.1): : 90 - 94
  • [3] WIND TUNNEL EXPERIMENT AND CFD SIMULATION FOR MULTIPLE WIND TURBINE ARRANGEMENTS
    Park, Jong-Jin
    Kim, Dong-Hyun
    Thanh-Toan Tran
    Oh, Min-Woo
    Shin, Yo-Seph
    [J]. PROCEEDINGS OF THE ASME/JSME/KSME JOINT FLUIDS ENGINEERING CONFERENCE, 2015, VOL 1A, SYMPOSIA, PT 2, 2016,
  • [4] Computational fluid dynamics simulation of the turbulence models in the tested section on wind tunnel
    Ismail
    John, Johanis
    Pane, Erlanda A.
    Suyitno, Budhi M.
    Rahayu, Gama H. N. N.
    Rhakasywi, Damora
    Suwandi, Agri
    [J]. AIN SHAMS ENGINEERING JOURNAL, 2020, 11 (04) : 1201 - 1209
  • [5] AERODYNAMIC SHAPE OPTIMIZATION OF GUIDED MISSILE BASED ON WIND TUNNEL TESTING AND COMPUTATIONAL FLUID DYNAMICS SIMULATION
    Ocokoljic, Goran J.
    Rasuo, Bosko P.
    Bengin, Aleksandar C.
    [J]. THERMAL SCIENCE, 2017, 21 (03): : 1543 - 1554
  • [6] Computational fluid dynamics for simulation of wind-tunnel experiments on flare combustion systems
    Castineira, David
    Edgar, Thomas F.
    [J]. ENERGY & FUELS, 2008, 22 (03) : 1698 - 1706
  • [7] Computational Fluid Dynamics-Aided Simulation of Twisted Wind Flows in Boundary Layer Wind Tunnel
    Yi, Zijing
    Wang, Lingjun
    Li, Xiao
    Zhang, Zhigang
    Zhou, Xu
    Yan, Bowen
    [J]. APPLIED SCIENCES-BASEL, 2024, 14 (03):
  • [8] Computational fluid dynamics (CFD) simulation on the hydraulics of a spillway
    Damarnegara, Satria
    Wardoyo, Wasis
    Perkins, Richard
    Vincens, Eric
    [J]. 3RD INTERNATIONAL CONFERENCE OF WATER RESOURCES DEVELOPMENT AND ENVIRONMENTAL PROTECTION, 2020, 437
  • [9] Computational Fluid Dynamics Based Aerodynamic Optimization of the Wind Tunnel Primary Nozzle
    Kolar, Jan
    Dvorak, Vaclav
    [J]. 4TH INTERNATIONAL MEETING OF ADVANCES IN THERMOFLUIDS (IMAT 2011), PT 1 AND 2, 2012, 1440 : 293 - 299
  • [10] Application of computational fluid dynamics (CFD) used in simulation of flow distribution for air condition
    Zhang Zheng
    Wang Jin-feng
    Xie Jing
    Tang Yi
    [J]. ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3, 2013, 278-280 : 111 - 116