Numerical studies on issues of Re-independence for indoor airflow and pollutant dispersion within an isolated building

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Abstract

This study conducted the numerical models validated by wind-tunnel experiments to investigate the issues of Re-independence of indoor airflow and pollutant dispersion within an isolated building. The window Reynolds number (Rew) was specified to characterize the indoor flow and dispersion. The indicators of RRC (ratio of relative change) or DR (K_DR) (difference ratio of dimensionless concentration) ? 5% were applied to quantitatively determine the critical Rew for indoor flow and turbulent diffusion. The results show that the critical Re (Recrit) value is position-dependent, and Recrit at the most unfavorable position should be suggested as the optimal value within the whole areas of interest. Thus ReH,crit = 27,000 is recommended for the outdoor flows; while Rew,crit = 15,000 is determined for the indoor flows due to the lower part below the window showing the most unfavorable. The suggested Rew,crit (=15,000) for indoor airflow and cross ventilation is independence of the window size. Moreover, taking K_DR ? 5% as the indicator, the suggested Rew,crit for ensuring indoor pollutant diffusion enter the Re-independence regime should also be 15,000, indicating that indoor passive diffusion is completely determined by the flow structures. The contours of dimensionless velocity (U/U0) and concentration (K) against the increasing Rew further confirmed this critical value. This study further reveals the Re-independence issues for indoor flow and dispersion to ensure the reliability of the data obtained by reduced-scale numerical or wind-tunnel models.

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References

Ai ZT, Mak CM (2014a). Potential use of reduced-scale models in CFD simulations to save numerical resources: Theoretical analysis and case study of flow around an isolated building. Journal of Wind Engineering and Industrial Aerodynamics, 134: 25?29.
Google Scholar?
Ai ZT, Mak CM (2014b). Modeling of coupled urban wind flow and indoor air flow on a high-density near-wall mesh: Sensitivity analyses and case study for single-sided ventilation. Environmental Modelling & Software, 60: 57?68.
Google Scholar?
Calautit JK, Hughes BR (2016). A passive cooling wind catcher with heat pipe technology: CFD, wind tunnel and field-test analysis. Applied Energy, 162: 460?471.
Google Scholar?
Castro IP, Robins AG (1977). The flow around a surface-mounted cube in uniform and turbulent streams. Journal of Fluid Mechanics, 79: 307?335.
Google Scholar?
Cherry NJ, Hillier R, Latour MEMP (1984). Unsteady measurements in a separated and reattaching flow. Journal of Fluid Mechanics, 144: 13?46.
Google Scholar?
Chow WK, Gao Y, Wang JL, et al. (2014). Effects of wind, buoyancy and thermal expansion on a room fire with natural ventilation. Building and Environment, 82: 420?430.
Google Scholar?
Cui P-Y, Li Z, Tao W-Q (2014). Investigation of Re-independence of turbulent flow and pollutant dispersion in urban street canyon using numerical wind tunnel (NWT) models. International Journal of Heat and Mass Transfer, 79: 176?188.
Google Scholar?
Cui P-Y, Li Z, Tao W-Q (2017). Numerical investigations on Reindependence for the turbulent flow and pollutant dispersion under the urban boundary layer with some experimental validations. International Journal of Heat and Mass Transfer, 106: 422?436.
Google Scholar?
Dai Y, Mak CM, Ai Z (2019). Flow and dispersion in coupled outdoor and indoor environments: Issue of Reynolds number independence. Building and Environment, 150: 119?134.
Google Scholar?
Djilali N, Gartshore IS (1991). Turbulent flow around a bluff rectangular plate. Part I: experimental investigation. Journal of Fluids Engineering, 113: 51?59.
Google Scholar?
Dong L, Zhang X, Xiao Y, et al. (2019). Investigation on Reindependence of air flow and pollutant concentration field in the basement space of an underground sewage treatment plant. Building and Environment, 163: 106327.
Google Scholar?
Franke J, Hellsten A, Schl?nzen H, et al. (2007). Best Practice Guideline for the CFD Simulation of Flows in the Urban Environment. Brussels: COST Office.
Gilani S, Montazeri H, Blocken B (2016). CFD simulation of stratified indoor environment in displacement ventilation: Validation and sensitivity analysis. Building and Environment, 95: 299?313.
Google Scholar?
Gousseau P, Blocken B, Stathopoulos T, et al. (2011). CFD simulation of near-field pollutant dispersion on a high-resolution grid: A case study by LES and RANS for a building group in downtown Montreal. Atmospheric Environment, 45: 428?438.
Google Scholar?
Gromke C, Buccolieri R, di Sabatino S, et al. (2008). Dispersion study in a street canyon with tree planting by means of wind tunnel and numerical investigations-Evaluation of CFD data with experimental data. Atmospheric Environment, 42: 8640?8650.
Google Scholar?
Gromke C (2011). A vegetation modeling concept for Building and Environmental Aerodynamics wind tunnel tests and its application in pollutant dispersion studies. Environmental Pollution, 159: 2094?2099.
Google Scholar?
Gromke C, Ruck B (2012). Pollutant concentrations in street canyons of different aspect ratio with avenues of trees for various wind directions. Boundary-Layer Meteorology, 144: 41?64.
Google Scholar?
Gupta A, Stathopoulos T, Saathoff P (2012). Wind tunnel investigation of the downwash effect of a rooftop structure on plume dispersion. Atmospheric Environment, 46: 496?507.
Google Scholar?
Huang Y-d, Li M-z, Ren S-q, et al. (2019). Impacts of tree-planting pattern and trunk height on the airflow and pollutant dispersion inside a street canyon. Building and Environment, 165: 106385.
Google Scholar?
Ikegaya N, Hasegawa S, Hagishima A (2019). Time-resolved particle image velocimetry for cross-ventilation flow of generic block sheltered by urban-like block arrays. Building and Environment, 147: 132?145.
Google Scholar?
Jayaweera M, Perera H, Gunawardana B, et al. (2020). Transmission of COVID-19 virus by droplets and aerosols: A critical review on the unresolved dichotomy. Environmental Research, 188: 109819.
Google Scholar?
Jiru TE, Bitsuamlak GT (2010). Application of CFD in modelling wind-induced natural ventilation of buildings-A review. International Journal of Ventilation, 9: 131?147.
Google Scholar?
Jones AP (1999). Indoor air quality and health. Atmospheric Environment, 33: 4535?4564.
Google Scholar?
Kosutova K, van Hooff T, Vanderwel C, et al. (2019). Crossventilation in a generic isolated building equipped with louvers: Wind-tunnel experiments and CFD simulations. Building and Environment, 154: 263?280.
Google Scholar?
Launder BE, Spalding DB (1974). The numerical computation of turbulent flows. Computer Methods in Applied Mechanics and Engineering, 3: 269?289.
MATH? Google Scholar?
Lim HC, Castro IP, Hoxey RP (2007). Bluff bodies in deep turbulent boundary layers: Reynolds-number issues. Journal of Fluid Mechanics, 571: 97?118.
MATH? Google Scholar?
Meroney RN (1987). Guidelines for fluid modeling of dense gas cloud dispersion. Journal of Hazardous Materials, 17: 23?46.
Google Scholar?
Mochida A, Murakami S, Kato S (1994). The similarity requirements for wind tunnel model studies of gas diffusion. Wind Engineers, JAWE, 1994(59): 23?28.
Google Scholar?
Ohba M (1989). Experimental studies for effects of separated flow on gaseous diffusion around two model buildings: Effects of flow conditions of oncoming flow. Journal of Architecture Planning and Environmental Engineering (Transactions of AIJ), 406: 21?30. (in Japanese)
Google Scholar?
Omrani S, Garcia-Hansen V, Capra BR, et al. (2017). Effect of natural ventilation mode on thermal comfort and ventilation performance: Full-scale measurement. Energy and Buildings, 156: 1?16.
Google Scholar?
Park J, Sun X, Choi JI, et al. (2017). Effect of wind and buoyancy interaction on single-sided ventilation in a building. Journal of Wind Engineering and Industrial Aerodynamics, 171: 380?389.
Google Scholar?
Patankar SV (1980). Numerical Heat Transfer and Fluid Flow. New York: McGraw-Hill.
MATH? Google Scholar?
Ramponi R, Blocken B (2012). CFD simulation of cross-ventilation for a generic isolated building: Impact of computational parameters. Building and Environment, 53: 34?48.
Google Scholar?
Per?n JI, van Hooff T, Leite BCC, et al. (2015). CFD analysis of cross-ventilation of a generic isolated building with asymmetric opening positions: Impact of roof angle and opening location. Building and Environment, 85: 263?276.
Google Scholar?
Robinson J, Nelson WC (1995). National Human Activity Pattern Survey Data Base. Research Triangle Park, NC, USA: United States Environmental Protection Agency.
Google Scholar?
Saathof PJ, Stathopoulos T, Dobrescu M (1995). Effects of model scale in estimating pollutant dispersion near buildings. Journal of Wind Engineering and Industrial Aerodynamics, 54-55: 549?559.
Google Scholar?
Saathoff P, Gupta A, Stathopoulos T, et al. (2009). Contamination of fresh air intakes due to downwash from a rooftop structure. Journal of the Air & Waste Management Association, 59: 343?353.
Google Scholar?
Shirzadi M, Mirzaei PA, Naghashzadegan M, et al. (2018). Modelling enhancement of cross-ventilation in sheltered buildings using stochastic optimization. International Journal of Heat and Mass Transfer, 118: 758?772.
Google Scholar?
Shirzadi M, Tominaga Y, Mirzaei PA (2020). Experimental and steady-RANS CFD modelling of cross-ventilation in moderatelydense urban areas. Sustainable Cities and Society, 52: 101849.
Google Scholar?
Shu C, Wang LL, Mortezazadeh M (2020). Dimensional analysis of Reynolds independence and regional critical Reynolds numbers for urban aerodynamics. Journal of Wind Engineering and Industrial Aerodynamics, 203: 104232.
Google Scholar?
Snyder WH (1972). Similarity criteria for the application of fluid models to the study of air pollution meteorology. Boundary- Layer Meteorology, 3: 113?134.
Google Scholar?
Snyder WH (1981). Guideline for Fluid Modeling of Atmospheric Diffusion. Research Triangle Park, NC, USA: United States Environmental Protection Agency.
Google Scholar?
Tao W-Q (2001). Numerical Heat Transfer. Xi?an, China: Xi?an Jiaotong University Press. (in Chinese)
Google Scholar?
Tominaga Y, Mochida A, Yoshie R, et al. (2008). AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics, 96: 1749?1761.
Google Scholar?
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.
Google Scholar?
Townsend AA (1956). The Structure of Turbulent Shear Flow. Cambridge, UK: Cambridge University Press.
MATH? Google Scholar?
Uehara K, Wakamatsu S, Ooka R (2003). Studies on critical Reynolds number indices for wind-tunnel experiments on flow within urban areas. Boundary-Layer Meteorology, 107: 353?370.
Google Scholar?
van Hooff T, Blocken B (2010a). Coupled urban wind flow and indoor natural ventilation modelling on a high-resolution grid: a case study for the Amsterdam ArenA stadium. Environmental Modelling & Software, 25: 51?65.
Google Scholar?
van Hooff T, Blocken B (2010b). On the effect of wind direction and urban surroundings on natural ventilation of a large semienclosed stadium. Computers & Fluids, 39: 1146?1155.
MATH? Google Scholar?
van Hooff T, Blocken B, Tominaga Y (2017). On the accuracy of CFD simulations of cross-ventilation flows for a generic isolated building: Comparison of RANS, LES and experiments. Building and Environment, 114: 148?165.
Google Scholar?
Wilson N, Corbett S, Tovey E (2020). Airborne transmission of COVID-19. BMJ, 370: m3206.
Google Scholar?
Yakhot V, Orszag SA (1986). Renormalization group analysis of turbulence. I. Basic theory. Journal of Scientific Computing, 1: 3?51.
MathSciNet? MATH? Google Scholar?
Yee E, Gailis RM, Hill A, et al. (2006). Comparison of wind-tunnel and water-channel simulations of plume dispersion through a large array of obstacles with a scaled field experiment. Boundary-Layer Meteorology, 121: 389?432.
Google Scholar?

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Acknowledgements

This work was supported by Shanghai Sailing Program (No. 18YF1417600), Scientific and Innovative Action Plan of Shanghai (No. 20dz1204008) and the National Natural Science Foundation of China (No. 51536006). Wind-tunnel experiments were conducted in the EWT Lab of USST.

Author informationAffiliations

College of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
Peng-Yi Cui,?Wei-Qiu Chen,?Jia-Qi Wang,?Jin-Hao Zhang?&?Yuan-Dong Huang
Key Laboratory of Thermo-Fluid Science and Engineering of MOE, School of Energy and Power Engineering, Xi?an Jiaotong University, Xi?an, China
Wen-Quan Tao

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Wei-Qiu ChenView author publications
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Jia-Qi WangView author publications
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Jin-Hao ZhangView author publications
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Yuan-Dong HuangView author publications
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Wen-Quan TaoView author publications
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Correspondence to Yuan-Dong Huang.

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Cui, PY., Chen, WQ., Wang, JQ. et al. Numerical studies on issues of Re-independence for indoor airflow and pollutant dispersion within an isolated building. Build. Simul. 15, 1259?1276 (2022). https://doi.org/10.1007/s12273-021-0846-z

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