Asian Journal of Atmospheric Environment

Korean Society for Atmospheric Environment (한국대기환경학회)
권호 표지
DOI QR코드

DOI QR Code

A CFD Study of Near-field Odor Dispersion around a Cubic Building from Rooftop Emissions

  • Jeong, Sang Jin (Department of Energy and Environmental Engineering, Kyonggi University)
  • Received : 2017.01.17
  • Accepted : 2017.06.14
  • Published : 2017.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Odor dispersion around a cubic building from rooftop odor emissions was investigated using computational fluid dynamics (CFD). The Shear Stress Transport (here after SST) $k-{\omega}$ model in FLUENT CFD code was used to simulate the flow and odor dispersion around a cubic building. The CFD simulations were performed for three different configurations of cubic buildings comprised of one building, two buildings or three buildings. Five test emission rates were assumed as 1000 OU/s, 2000 OU/s, 3000 OU/s, 4000 OU/s and 5000 OU/s, respectively. Experimental data from wind tunnels obtained by previous studies are used to validate the numerical result of an isolated cubic building. The simulated flow and concentration results of neutral stability condition were compared with the wind tunnel experiments. The profile of streamline velocity and concentration simulation results show a reasonable level of agreement with wind tunnel data. In case of a two-building configuration, the result of emission rate 1000 OU/s illustrates the same plume behavior as a one-building configuration. However, the plume tends to the cover rooftop surface and windward facet of a downstream building as the emission rate increases. In case of a three-building configuration, low emission rates (<4000 OU/s) form a similar plume zone to that of a two-building configuration. However, the addition of a third building, with an emission rate of 5000 OU/s, creates a much greater odorous plume zone on the surface of second building in comparison with a two-building configuration.

Keywords

References

  1. Blocken, B. (2015) Computational Fluid Dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations. Building and Environment 91, 219-245. https://doi.org/10.1016/j.buildenv.2015.02.015
  2. Brancher, M., Griffiths, K.D., Franco, D., Lisboa, H.M. (2017) A review of odour impact criteria in selected countries around the world. Chemosphere 168, 1531-1570. https://doi.org/10.1016/j.chemosphere.2016.11.160
  3. Chavez, M., Hajra, B., Stathopoulos, T., Bahloul, A. (2011) Near-field pollutant dispersion in the built environment by CFD and wind tunnel simulations. Journal of Wind Engineering and Industrial Aerodynamics 99, 330-339. https://doi.org/10.1016/j.jweia.2011.01.003
  4. Dourado, H., Santos, J.M., Reis, N.C. Jr., Mavroidis, I. (2014) Development of a fluctuating plume model for odour dispersion around buildings. Atmospheric Environment 89, 148-157. https://doi.org/10.1016/j.atmosenv.2014.02.053
  5. FLUENT ver.14 (2012) User's Guide.
  6. Franke, J., Hellsten, A., Schlunzen, H., Carissimo, B. (2007) Best practice guideline for the CFD simulation of flows in the urban environment. COST Action 732.
  7. Franke, J., Hirsch, C., Jensen, A.G., Krus, H.W., Schatzmann, M., Westbury, P.S., Miles, S.D., Wisse, J.A., Wright, N.G. (2004) Recommendations on the use of CFD in wind engineering. In: van Beeck, J.P.A.J. (Ed.), Proceedings of the International Conference on Urban Wind Engineering and Building Aerodynamics, COST Action C14, Impact of Wind and Storm on City Life Built Environment. von Karman Institute, Sint-Genesius-Rode, Belgium. 5-7 May 2004.
  8. Gromke, C., Blocken, B. (2015) Influence of avenue-trees on air quality at the urban neighborhood scale. Part I: Quality assurance studies and turbulent Schmidt number analysis for RANS CFD simulations. Environmental Pollution 196, 214-223. https://doi.org/10.1016/j.envpol.2014.10.016
  9. Kim, A., Jeong, S.J. (2015) A study on the performance of a SST k-${\omega}$ model for near field dispersion of odor from rooftop emission. Journal of Odor and Indoor Environment 14(2), 150-156.
  10. Kim, K.H. (2016) The need for practical input data for modeling odor nuisance effects due to a municipal solid waste landfill in the surrounding environment. Environment International 87, 116-117. https://doi.org/10.1016/j.envint.2015.11.004
  11. Kim, K.J., Han, J.S., Gong, B.J., Jeong, S.J. (2014) Odor dispersion simulation around an isolated building using SST k-${\omega}$ model. Journal of Odor and Indoor Environment 14(4), 263-269.
  12. Li, W., Meroney, R.M. (1983) Gas dispersion near a cubical model building - Part I. Mean concentration measurements. Journal of Wind Engineering and Industrial Aerodynamics 12, 15-33. https://doi.org/10.1016/0167-6105(83)90078-8
  13. Lin, X.J., Barrington, S., Choiniere, D., Prasher, S. (2007) Simulation of the effect of windbreaks on odour dispersion using the CFD SST k-${\omega}$ model. Biosystems Engineering 98, 347-363. https://doi.org/10.1016/j.biosystemseng.2007.07.010
  14. Lin, X.J., Barrington, S., Choiniere, D., Prasher, S. (2009) Effect of weather conditions on windbreak odour dispersion. Journal of Wind Engineering and Industrial Aerodynamics 97, 487-496. https://doi.org/10.1016/j.jweia.2009.06.012
  15. Maizi, A., Dhaouadi, H., Bournot, P., Mhiri, H. (2010) CFD prediction of odorous compound dispersion: Case study examining a full scale waste water treatment plant. BIOSYSTEMS ENGINEERING 106, 68-78. https://doi.org/10.1016/j.biosystemseng.2010.02.005
  16. Menter, F.R., Kuntz, M., Langtry, R. (2003) Ten years ofindustrial experience with the SST turbulence model.In: Hanjalic, K., Nagano, Y., Tummers, M. (Eds.), Turbulence, Heat and Mass Transfer 4. Begell House Inc.,Redding, CT, USA, pp. 625-632.
  17. Pettarin, N., Campolo, M., Soldati, A. (2015) Urban air pollution by odor sources: Short time prediction. Atmospheric Environment 122, 74-82. https://doi.org/10.1016/j.atmosenv.2015.09.037
  18. Pieterse, J.E., Harms, T.M. (2013) CFD investigation of the atmospheric boundary layer under different thermal stability conditions. Journal of Wind Engineering and Industrial Aerodynamics 121, 82-97. https://doi.org/10.1016/j.jweia.2013.07.014
  19. Ramponi, R., Blocken, B. (2012a) CFD simulation of cross-ventilation for a generic isolated building: Impact of computational parameters. Building and Environments 53, 34-48. https://doi.org/10.1016/j.buildenv.2012.01.004
  20. Ramponi, R., Blocken, B. (2012b) CFD simulation of cross-ventilation for different isolated building configurations: Validation with wind tunnel measurements and analysis of physical and numerical diffusion effects. Journal of Wind Engineering and Industrial Aerodynamics 104-106, 408-418. https://doi.org/10.1016/j.jweia.2012.02.005
  21. Riddle, A., Carruthers, D., Sharpe, A., McHugh, C., Stocker, J. (2004) Comparisons between FLUENT and ADMS for atmospheric dispersion modelling. Atmospheric Environment 38(7), 1029-1038. https://doi.org/10.1016/j.atmosenv.2003.10.052
  22. Tominaga, Y., Mochida, A., Yoshie, R., Kataoka, H., Nozu, T., Yoshikawa, M., Shirasawa, T. (2008) AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics 96, 1749-1761. https://doi.org/10.1016/j.jweia.2008.02.058
  23. Tominaga, Y., Stathopoulos, T. (2009) Numerical simulation of dispersion around an isolated cubic building: Comparison of various types of k-${\varepsilon}$ models. Atmospheric Environment 43, 3200-3210. https://doi.org/10.1016/j.atmosenv.2009.03.038
  24. Tominaga, Y., Stathopoulos, T. (2010) Numerical simulation of dispersion around an isolated cubic building: Model evaluation of RANS and LES. Building and Environment 45, 2231-2239. https://doi.org/10.1016/j.buildenv.2010.04.004
  25. Tominaga, Y., Stathopoulos, T. (2013) CFD simulation of near-field pollutant dispersion in the urban environment: A review of current modeling techniques. Atmospheric Environment 79, 716-730. https://doi.org/10.1016/j.atmosenv.2013.07.028
  26. Tominaga, Y., Stathopoulos, T. (2016) Ten questions concerning modeling of near-field pollutant dispersion in the built environment. Building and Environment 105, 390-402. https://doi.org/10.1016/j.buildenv.2016.06.027
  27. Yassin, M.F. (2013) A wind tunnel study on the effect of thermal stability on flow and dispersion of rooftop stack emissions in the near wake of a building. Atmospheric Environment 65, 89-100. https://doi.org/10.1016/j.atmosenv.2012.10.013

Cited by

  1. CFD Study on the Influence of Atmospheric Stability on Near-field Pollutant Dispersion from Rooftop Emissions vol.12, pp.1, 2018, https://doi.org/10.5572/ajae.2018.12.1.047
  2. A CFD Study on Odor Dispersion around Building Array under Different Atmospheric Stability Conditions vol.37, pp.1, 2017, https://doi.org/10.5572/kosae.2021.37.1.001