Modeling Emission Flow Pattern of a Single Cruising Vehicle on Urban Streets with CFD Simulation and Wind Tunnel Validation
Bibliographic Data
| ID | 15510550 |
|---|---|
| Authors | Xue-Qing Shi (0000-0001-5763-1709, Shanghai Jiao Tong University), Daniel Sun (0000-0002-4331-6502, Shanghai Jiao Tong University), Ying Zhang (0000-0001-6214-2440, Shanghai Municipal Engineering Design Institute (Group) Co., Ltd., Shanghai 200092, China), Jing Xiong (0000-0002-5007-8581, Shanghai Jiao Tong University, corresponding author), Zhonghua Zhao (0000-0002-0975-8200, Shanghai Normal University, corresponding author) |
| Year | 2020 |
| Volume | 17 |
| Issue | 12 |
| Pages | 4557-4557 |
| Publication date | 2020-06-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17124557 |
| PMID | 32599932 |
| OpenAlex | W3037171690 |
| Language | EN |
| References cited | 33 |
Transportation has become one of the primary sources of urban atmospheric pollutants and it causes severe diseases among city residents. This study focuses on assessing the pollutant dispersion pattern using computational fluid dynamics (CFD) numerical simulation, with the effect and results validated by the results from wind tunnel experiments. First, the wind tunnel experiment was carefully designed to preliminarily assess the flow pattern of vehicle emissions. Next, the spatiotemporal distribution of pollutant concentrations around the motor vehicle was modeled using a CFD numerical simulation. The pollutant concentration contours indicated that the diffusion process of carbon monoxide mainly occurred in the range of 0-2 m above the ground. Meanwhile, to verify the correctness of the CFD simulation, pressure distributions of seven selected points that were perpendicular along the midline of the vehicle surface were obtained from both the wind tunnel experiment and the CFD numerical simulation. The Pearson correlation coefficient between the numerical simulation and the wind tunnel measurement was 0.98, indicating a strong positive correlation. Therefore, the distribution trend of all pressure coefficients in the numerical simulation was considered to be consistent with those from the measurements. The findings of this study could shed light on the concentration distribution of platoon-based vehicles and the future application of CFD simulations to estimate the concentration of pollutants along urban street canyons
Computational fluid dynamics · Computer simulation · Marine engineering · Mechanics · Meteorology · Physics · Simulation · Wind direction · Wind speed · Wind tunnel · Air Quality and Health Impacts · Engineering · Environmental Science · Vehicle emissions and performance · Wind and Air Flow Studies
| Citation velocity | historical |
|---|---|
| Highly cited | No |