EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 360 (2022) E3S Web Conf., 360 (2022) 01028 References
Open Access
Issue
E3S Web Conf.
Volume 360, 2022
2022 8th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2022)
Article Number 01028
Number of page(s) 10
DOI https://doi.org/10.1051/e3sconf/202236001028
Published online 23 November 2022
  1. Stijn Vranckx, Peter Vos. Final report OpenFOAM CFD simulation of pollutant dispersion in street canyons: Validation and annual impact of trees. [Google Scholar]
  2. Wilcox D. C. Turbulence modeling for CFD[M]. La Canada, CA: DCW industries, 1998. [Google Scholar]
  3. Zhang Yi. Profile of air pollution on urban roads and overview of road diffusion model[J]. Technology of Highway and Transport, 2013(1):141-145. [Google Scholar]
  4. Li Yalin. Simulating PM2.5 diffusion characteristics of exhaust flow in wake[D]. Chang'an University, 2015. [Google Scholar]
  5. Murena F., Favale G., Vardoulakis S., et al. Modelling dispersion of traffic pollution in a deep street canyon: Application of CFD and operational models[J]. Atmospheric Environment, 2009, 43: 2303-2311. [CrossRef] [Google Scholar]
  6. Chang C. H., Meroney R. N. Numerical and physical modeling of bluff body flow and dispersion in urban street canyons[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2001, 89(14-15):1325-1334. [CrossRef] [Google Scholar]
  7. Yassin M. F., R. Kellnerová, Z. Janour. Impact of street intersections on air quality in an urban environment[J]. Atmospheric Environment, 2008, 42(20): 4948-4963. [CrossRef] [Google Scholar]
  8. Wen H., Malki-Epshtein L. A parametric study of the effect of roof height and morphology on air pollution dispersion in street canyons[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2018, 175: 328-341. [CrossRef] [Google Scholar]
  9. Ming T., Peng C., Gong T., et al. Pollutant Dispersion in Built Environment [M]. Springer Nature, 2016. [Google Scholar]
  10. Li Lei, Hu Fei, Cheng Xueling, et al. An application of Fluent on the study of the atmospheric environment in urban streets[J]. Journal of the Graduate School of the Chinese Academy of Sciences, 2004, 21(4): 476-480. [Google Scholar]
  11. Zhang Zhao. Numerical simulation of wind and the motor mobile CO pollutant concentration fields inside street canyon[D]. Southwest Jiaotong University, 2008. [Google Scholar]
  12. Xu Weijia, Yu Zhi, Cai Ming, et al. Numerical modeling of pollutant dispersion from different lanes in urban street canyons[J]. Research of Environmental Sciences, 2010(08):32-37. [Google Scholar]
  13. Zhu Zhongwei. Numerical analysis of reactive pollutant dispersion in an urban street canyon[D]. Shanghai Jiao Tong University, 2013. [Google Scholar]
  14. Wang Le, Zhang Yunwei, Gu Zhaolin. The numerical simulation of pollutant dispersion in street canyons under dynamic wind field and traffic flux[J]. China Environmental Science, 2012, 32(12): 2161-2167. [CrossRef] [Google Scholar]
  15. Wang Jiwu, Wang Wei. Space from and pollutant distribution in urban street canyons: A case study of Hangzhou zhongshan road[J]. City Planning Review, 2010, 34(12): 57-63. [Google Scholar]
  16. Zhan Naiyan, Zhang Shuai, Gao Zheng, et al. Influence of urban building layouts on traffic pollutant diffusion characteristics in the street canyon[J]. Environmental Science & Technology, 2019, 42(12): 105-111. [Google Scholar]
  17. Yu Haijun. Numerical simulation of air pollution in an urban community of city underlying surface with WRF-CMAQ-CFD multi-scale coupled method[D]. Zhejiang University, 2016. [Google Scholar]
  18. Jacobsen N. G., Fuhrman D. R., Frens E. J. A wave generation toolbox for the open-source CFD library: OpenFOAM[J]. International Journal for Numerical Methods in Fluids, 2012, 70(9): 1073-1088. [CrossRef] [Google Scholar]
  19. https://www.openfoam.com/documentation/user-guide/1-introduction [Google Scholar]
  20. Chen Cunyang, Zhu Yongbing, Chen Chongcheng, et al. Simulation of toxic gas diffusion in complex urban blocks based on OpenFOAM[J]. Research of Environmental Sciences, 2015, 28(5): 697-703. [Google Scholar]
  21. Jeanjean A. P. R., Buccolieri R., Eddy J., et al. Air quality affected by trees in real street canyons: The case of Marylebone neighbourhood in central London[J]. Urban Forestry & Urban Greening, 2017, 22: 41-53. [CrossRef] [Google Scholar]
  22. Buccolieri R., Jeanjean A. P. R., Gatto E., et al. The impact of trees on street ventilation, NOx and PM2. 5 concentrations across heights in Marylebone Rd street canyon, central London[J]. Sustainable Cities and Society, 2018, 41: 227-241. [Google Scholar]
  23. Chatzimichailidis A. E., Argyropoulos C. D., Assael M. J., et al. Qualitative and quantitative investigation of multiple large eddy simulation aspects for pollutant dispersion in street canyons using OpenFOAM[J]. Atmosphere, 2019, 10(1): 17. [CrossRef] [Google Scholar]
  24. Tewari M., Kusaka H., Fei C., et al. Impact of coupling a microscale computational fluid dynamics model with a mesoscale model on urban scale contaminant transport and dispersion[J]. Atmospheric Research, 2010, 96(4): 656-664. [CrossRef] [Google Scholar]
  25. Zheng Y., Miao Y., Liu S., et al. Simulating Flow and Dispersion by Using WRF-CFD Coupled Model in a Built-Up Area of Shenyang, China[J]. Advances in Meteorology, 2015, 2015: 1-15. [CrossRef] [Google Scholar]
  26. Miao Y., Liu S., Chen B., et al. Simulating urban flow and dispersion in Beijing by coupling a CFD model with the WRF model[J]. Advances in atmospheric sciences, 2013, 30(6): 1663-1678. [CrossRef] [Google Scholar]
  27. Liu Y., Poh H. J. Urban Flow and Pollutant Dispersion Simulation with Multi-scale coupling of Meteorological Model with Computational Fluid Dynamic Analysis[C]//APS Division of Fluid Dynamics Meeting Abstracts. 2014: M23. 007. [Google Scholar]
  28. Li Qing. Experimental and CFD study on the dispersion of vehicle exhaust pollutants[D]. Shenzhen University, 2019. [Google Scholar]
  29. Banglin D., Qing L., Yangyang C., et al. The effect of air/fuel ratio on the CO and NOx emissions for a twin-spark motorcycle gasoline engine under wide range of operating conditions[J]. Energy, 2018, 169(113): 1202-1213. [Google Scholar]
  30. Tan Libin, Yuan Yuejin, Huang Can, et al. Computational fluid dynamics simulation and analysis of vehicle air-conditioning system based on STAR-CCM+[J]. Science Technology and Engineering, 2020, 20(27): 11353-11358. [Google Scholar]
  31. Tan Libin, Yuan Yuejin, Xu Yingying et al. Numerical simulation analysis of radiator for a low speed electrical vehicle based on STAR-CCM+[J]. Journal of Shaanxi University of Science & Technology, 2020, 038(003): 145-152. [Google Scholar]
  32. Zhu Fawang, Zhang Dan, Xu Xinjie. Fuel Filling Analysis Based on STAR-CCM+[C]. 2019 Academic AnnualConference of Automotive Aerodynamic Committee. [Google Scholar]
  33. Liu Yang, Xu Chuntie, Zan Jianming, et al. Comparison of vehicle aerodynamic noise source based on FLUENT and STAR-CCM +[J]. Computer Aided Engineering, 2016, 25(5): 22-28. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.