THERMAL SCIENCE

International Scientific Journal

Thermal Science - Online First

Authors of this Paper

External Links

online first only

Estimation of pollutant dispersion around a building within non-isothermal boundary layer using detached eddy simulation

ABSTRACT
The paper presents the numerical results of modelling pollutant transport from a low source behind a bluff-body imitating a building within a non-isothermal boundary layer. The main goal of the study is to estimate the tracer gas dispersion in a complex turbulent separated flow behind a building in the presence of interference of the atmospheric boundary layer and local flows. In the fist part of the study we compare numerical approaches URANS and IDDES for turbulent flow prediction on a configuration for which experimental data are available. It is shown that Detached Eddy Simulation approach predicts correctly the main separated flow features and demonstrates a reliable correlation with the experimental data on mean velocity, pollutant concentration and temperature fields. In the second part of the study, the influence of unstable thermal stratified flow on the tracer gas transport around a building is analyzed using IDDES method. The unstable thermal flow regime considered in the study affects the distribution of the pollutant concentration in the recirculation zone behind the building. The presence of additional buoyancy effects leads to an increase in the gas concentration on the leeward wall of the body and gas transport from a ground region to a height greater than in the case with the neutral boundary layer.
KEYWORDS
PAPER SUBMITTED: 2021-11-23
PAPER REVISED: 2022-03-04
PAPER ACCEPTED: 2022-03-14
PUBLISHED ONLINE: 2022-04-09
DOI REFERENCE: https://doi.org/10.2298/TSCI211123046V
REFERENCES
  1. WHO global air quality guidelines. Particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. World Health Organization, Geneva, 2021
  2. Abbafati, C., et. al., Global Burden of 87 Risk Factors in 204 Countries and Territories, 1990-2019: A Systematic Analysis for the Global Burden of Disease Study, Lancet, 396 (2020), pp. 1223-1249
  3. Karagulian, F., et al., Contributions to Cities' Ambient Particulate Matter (PM): A Systematic Review of Local Source Contributions at Global Level, Atmos. Environ., 120 (2015), pp. 475-483
  4. Wang, Y., et al., Spatiotemporal Variation and Source Analysis of Air Pollutants in The Harbin-Changchun (HC) Region of China During 2014-2020, Environ. Sci. Ecotechnology, 8 (2021), p.100126
  5. Kim, Y., et al., Multi Isotope Systematics of Precipitation to Trace the Sources of Air Pollutants in Seoul, Korea, Environ. Pollut., 286 (2021), p. 117548
  6. Cheng, K., et al., Understanding the Emission Pattern and Source Contribution of Hazardous Air Pollutants from Open Burning of Municipal Solid Waste in China, Environ. Pollut., 263 (2020), p.114417
  7. Miñarro, M. D., et al., A Multi-pollutant Methodology to Locate a Single Air Quality Monitoring Station in Small and Medium-size Urban Areas, Environ. Pollut., 266 (2020), p. 115279
  8. Mašić, A., et al., Experimental Study of Temperature Inversions Above Urban Area Using Unmanned Aerial Vehicle, Therm. Sci., 23 (2018), pp. 3327-3338
  9. Vujić, B. B., et al., Air Quality Monitoring and Modeling Near Coal Fired Power Plant, Therm. Sci., 23 (2019), pp. 4055-4065
  10. Gromke, C., Ruck, B., Pollutant Concentrations in Street Canyons of Different Aspect Ratio with Avenues of Trees for Various Wind Directions, Boundary-Layer Meteorol., 144 (2012), pp. 41-64
  11. Wind Tunnel Experimental Database of Air Pollution around a Building: Database on Indoor / Outdoor Air Pollution, Tokyo Polytechnic University, www.wind.arch.t-kougei.ac.jp/info_center/pollution/Non-Isothermal_Flow.html
  12. Urban Microclimate, ETH Zurich, carmeliet.ethz.ch/research/urban-microclimate.html
  13. Tsalicoglou, C., et al., Non-isothermal Flow Between Heated Building Models, J. Wind Eng. Ind. Aerodyn., 204 (2020), p.104248
  14. Zhao, Y., et al., Buoyancy Effects on The Flows Around Flat and Steep Street Canyons in Simplified Urban Settings Subject to a Neutral Approaching Boundary Layer: Wind Tunnel PIV Measurements, Sci. Total Environ., 797 (2021), p. 149067
  15. Zhao, Y., et al., Isothermal and Non-isothermal Flow in Street Canyons: A Review from Theoretical, Experimental and Numerical Perspectives, Build. Environ., 184 (2020), p. 107163
  16. Franke J., et al., Best Practice Guideline for the CFD Simulation of Flows in the Urban Environment, COST Action 732, 2007
  17. Tominaga, Y., et al., AIJ Guidelines for Practical Applications of CFD to Pedestrian Wind Environment Around Buildings, J. Wind Eng. Ind. Aerodyn., 96 (2008), pp. 1749-1761
  18. Blocken, B., 50 Years of Computational Wind Engineering: Past, Present and Future, J. Wind Eng. Ind. Aerodyn., 129 (2014), pp. 69-102
  19. Toparlar, Y., et al., A Review on the CFD Analysis of Urban Microclimate, Renew. Sustain. Energy Rev., 80 (2017), 1613-1640
  20. Liu, J., Niu, J. CFD Simulation of the Wind Environment Around an Isolated High-rise Building: An Evaluation of SRANS, LES and DES Models, Build. Environ., 96 (2016), pp. 91-106
  21. Valger, S. A., On Numerical Modeling of Aerodynamics of Urban Developments on Unstructured Computational Grids, Thermophys. Aeromechanics, 28 (2021), pp. 541-556
  22. Valger, S. A., et al., Structure of Turbulent Separated Flow in the Neighborhood of a Plate-mounted Prism of Square Section, Thermophys. Aeromechanics, 22 (2015), pp. 29-41
  23. Yoshie, R., et al., Cooperative Project for CFD Prediction of Pedestrian Wind Environment in the Architectural Institute of Japan, J. Wind Eng. Ind. Aerodyn., 95 (2007), pp. 1551-1578
  24. Tominaga, Y., Flow Around a High-rise Building Using Steady and Unsteady RANS CFD: Effect of Large-scale Fluctuations on The Velocity Statistics, J. Wind Eng. Ind. Aerodyn., 142 (2015), pp. 93-103
  25. Menter, F. R., et al., Ten Years of Industrial Experience with the SST Turbulence Model Turbulence Heat and Mass transfer, Heat Mass Transf., 4 (2003), pp. 625-632
  26. Shur, M. L., et al., A Hybrid RANS-LES Approach with Delayed-DES and Wall-modelled LES Capabilities, Int. J. Heat Fluid Flow, 29 (2008), pp.1638-1649
  27. Strelets, M., Detached Eddy Simulation of Massively Separated Flows, Conference Paper, 39th AIAA Aerospace Sciences, Reno, NV, USA, pp. 1-18
  28. Travin, A., et al., Physical and Numerical Upgrades in the Detached-Eddy Simulation of Complex Turbulent Flows, Fluid Mech. its Appl., 65 (2004), pp. 239-254
  29. Ansys Fluent Theory Guide, ANSYS Inc., USA, 2021
  30. Ramponi, R., Blocken, B., CFD Simulation of Cross-Ventilation for a Generic Isolated Building: Impact of Computational Parameters, Build. Environ., 53 (2012), pp. 34-48
  31. Karava, P., et al., Airflow Assessment in Cross-ventilated Buildings with Operable Façade Elements, Build. Environ., 46 (2011), pp. 266-279
  32. Spalart, P. R., et al., A New Version of Detached-eddy Simulation, Resistant to Ambiguous Grid Densities, Theor. Comput. Fluid Dyn., 20 (2006), pp. 181-195
  33. Shur, M. L., et al., Synthetic Turbulence Generators for RANS-LES Interfaces in Zonal Simulations of Aerodynamic and Aeroacoustic Problems, Flow Turbulence and Combustion, 93 (2014), pp. 63- 92
  34. Tominaga, Y., Stathopoulos, T., Turbulent Schmidt Numbers for CFD Analysis with Various Types of Flowfield, Atmos. Environ., 41 (2007), pp. 8091-8099
  35. Lavruk, S. A., Valger, S. A., The Effect of Barrier Location on Characteristics of Gas Pollutant Transfer in the Vicinity of Highway, Thermophys. Aeromechanics, 28 (2021), pp. 369-381