Towards developing an idealised city model with realistic aerodynamic features

Authors

  • E. Reda Department of Mechanical Engineering, Alexandria University, Alexandria, Egypt
  • R. Zulkifli Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM Bangi, 43600, Selangor, Malaysia
  • Z. Harun Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM Bangi, 43600, Selangor, Malaysia

DOI:

https://doi.org/10.15282/jmes.11.4.2017.2.0268

Keywords:

CFD, LES, Air flow, Actual city, Idealised model, Uneven building layout

Abstract

Many concerns related to natural ventilation in urban areas have been deduced from experimental or computational fluid dynamics simulations on idealised models. However, it is not definite that the flow through these idealised models presents similar characteristics to actual urban areas. The objective of this research is to suggest an approach to close the gap between idealised models and genuine cities; i.e., predict actual urban flow characteristics from the ready data of idealised models. The flow was simulated by large-eddy simulation through both the actual city model and a group of idealised models of different structures but the same average dimensions and buildingpacking-density as the actual city. The numerical setup was validated by comparison with wind tunnel measurements from the literature. It was found that an equivalent to the average velocity profile throughout an idealised model can be achieved by a mix of the “five-point spatial average” and the “four-point spatial average”. The vertical profiles of mean and turbulent windward velocities of the idealised models manifest a general similarity to those of the actual model. On the other hand, the cross-wind and wall-normal components show large discrepancies. In all cases, the idealised models exhibit very narrow atmospheric surface layer heights compared to the actual model. IM-RAN (which represents a structure of semi-random configuration) displayed the closest results to the actual model but condensed in half the actual model surface layer height. A correction formula was devised to close the gap between the two models. The results confirm the ability to utilise idealised models to deliver recommendations regarding urban environment planning; though, attention should be paid to the selection of the idealised model and corrections may be needed.

References

Tahseen TA, Rahman MM, Ishak M. Effect of tube spacing, fin density and Reynolds number on overall heat transfer rate for in-line configuration. International Journal of Automotive and Mechanical Engineering. 2015;12:3065-75.

Al-Faruk A, Sharifian AS. Effects of flow parameters on the performance of vertical axis swirling type Savonius wind turbine. International Journal of Automotive and Mechanical Engineering. 2015;12:2929-43.

Wahhad AM, Adam NM, Sapuan SM. Comparison of numerical simulation and experimental study on indoor air quality of air-conditioned office building in desert climate. International Journal of Automotive and Mechanical Engineering. 2015;12:3109-24.

Baha NZ, Osman SA. Extreme Wind Effects on Roof Structures of Low Rise Buildings. Jurnal Kejuruteraan. 2017;2017:31-6.

Rahman MAA, Thiagarajan KP. Experiments on vortex-induced vibration of a vertical cylindrical structure: effect of low aspect ratio. International Journal of Automotive and Mechanical Engineering. 2015;11:2515-30.

Lotfy ER, Harun Z. Effect of atmospheric boundary layer stability on the inclination angle of turbulence coherent structures. Environmental Fluid Mechanics.1-23.

Flores F, Garreaud R, Muñoz RC. CFD simulations of turbulent buoyant atmospheric flows over complex geometry: Solver development in Open FOAM. Computers & Fluids. 2013;82:1-13.

Kakosimos KE, Assael MJ. Application of Detached Eddy Simulation to neighbourhood scale gases atmospheric dispersion modelling. Journal of Hazardous Materials. 2013;261:653-68.

Kikumoto H, Ooka R. A numerical study of air pollutant dispersion with bimolecular chemical reactions in an urban street canyon using large-eddy simulation. Atmospheric Environment. 2012;54:456-64.

Liu J, Srebric J, Yu N. Numerical simulation of convective heat transfer coefficients at the external surfaces of building arrays immersed in a turbulent boundary layer. International Journal of Heat and Mass Transfer. 2013;61:209-25.

Mavroidis I, Andronopoulos S, Bartzis JG. Computational simulation of the residence of air pollutants in the wake of a 3-dimensional cubical building. The effect of atmospheric stability. Atmospheric Environment. 2012;63:189-202.

Moonen P, Dorer V, Carmeliet J. Effect of flow unsteadiness on the mean wind flow pattern in an idealized urban environment. Journal of Wind Engineering and Industrial Aerodynamics. 2012;104:389-96.

Rusdin A. Computation of turbulent flow around a square block with standard and modified k-ε turbulence models. International Journal of Automotive & Mechanical Engineering. 2017;14:3938-53.

Kono T, Tamura T, Ashie Y. Numerical investigations of mean winds within canopies of regularly arrayed cubical buildings under neutral stability conditions. Boundary-Layer Meteorology. 2010;134:131-55.

Takahashi K, Yoshida H, Tanaka Y, Aotake N, Wang F. Measurement of thermal environment in Kyoto city and its prediction by CFD simulation. Energy and Buildings. 2004;36:771-9.

Nozu T, Tamura T, Okuda Y, Sanada S. LES of the flow and building wall pressures in the center of Tokyo. Journal of Wind Engineering and Industrial Aerodynamics. 2008;96:1762-73.

Xie Z-T, Castro IP. Large-eddy simulation for flow and dispersion in urban streets. Atmospheric Environment. 2009;43:2174-85.

Gousseau P, Blocken B, Stathopoulos T, Van Heijst GJF. 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. 2011;45:428-38.

Liu YS, Cui GX, Wang ZS, Zhang ZS. Large eddy simulation of wind field and pollutant dispersion in downtown Macao. Atmospheric Environment. 2011;45:2849-59.

Wyszogrodzki AA, Miao S, Chen F. Evaluation of the coupling between mesoscale-WRF and LES-EULAG models for simulating fine-scale urban dispersion. Atmospheric Research. 2012;118:324-45.

Liu YS, Miao SG, Zhang CL, Cui GX, Zhang ZS. Study on micro-atmospheric environment by coupling large eddy simulation with mesoscale model. Journal of Wind Engineering and Industrial Aerodynamics. 2012;107:106-17.

Harun Z, Reda E, Abdullah S. Large eddy simulation of the air flow through Kuala Lumpur City Center. Proceedings of the 1st Thermal and Fluids Engineering Summer Conference, TFESC-12015.

Castro IP, Cheng H, Reynolds R. Turbulence over urban-type roughness: deductions from wind-tunnel measurements. Boundary-Layer Meteorology. 2006;118:109-31.

Hang J, Li Y, Sandberg M, Buccolieri R, Di Sabatino S. The influence of building height variability on pollutant dispersion and pedestrian ventilation in idealized high-rise urban areas. Building and Environment. 2012;56:346-60.

Cheng H, Castro IP. Near wall flow over urban-like roughness. Boundary-Layer Meteorology. 2002;104:229-59.

Sun L, Nottrott A, Kleissl J. Effect of hilly urban morphology on dispersion in the urban boundary layer. Building and Environment. 2012;48:195-205.

Stull RB. An introduction to boundary layer meteorology: Springer Science & Business Media; 1988.

Meneveau C, Lund TS, Cabot WH. A Lagrangian dynamic subgrid-scale model of turbulence. Journal of Fluid Mechanics. 1996;319:353-85.

Zhou B, Chow FK. Turbulence modeling for the stable atmospheric boundary layer and implications for wind energy. Flow, Turbulence and Combustion. 2012;88:255-77.

Pieterse JE, Harms TM. CFD investigation of the atmospheric boundary layer under different thermal stability conditions. Journal of Wind Engineering and Industrial Aerodynamics. 2013;121:82-97.

Qu Y, Milliez M, Musson-Genon L, Carissimo B. Numerical study of the thermal effects of buildings on low-speed airflow taking into account 3D atmospheric radiation in urban canopy. Journal of Wind Engineering and Industrial Aerodynamics. 2012;104:474-83.

Kastner-Klein P, Rotach MW. Mean flow and turbulence characteristics in an urban roughness sublayer. Boundary-Layer Meteorology. 2004;111:55-84.

Franke J, Hellsten A, Schlünzen H, Carissimo B. Best practice guideline for the CFD simulation of flows in the urban environment. COST Action 732. Quality Assurance And Improvement of Microscale Meteorological Models; 2007.

Razak AA, Hagishima A, Ikegaya N, Tanimoto J. Analysis of airflow over building arrays for assessment of urban wind environment. Building and Environment. 2013;59:56-65.

Harun Z, Reda E, Zulkifli R. Buoyancy effect on atmospheric surface layer: measurements from the East Coast of Malaysia. The 15th Asian Congress of Fluid Mechanics; 2016.

Latif MT, Dominick D, Ahamad F, Khan MF, Juneng L, Hamzah FM, et al. Long term assessment of air quality from a background station on the Malaysian Peninsula. Science of the total environment. 2014;482:336-48.

Coceal O, Thomas TG, Castro IP, Belcher SE. Mean flow and turbulence statistics over groups of urban-like cubical obstacles. Boundary-Layer Meteorology. 2006;121:491-519.

Cheng H, Castro IP. Near wall flow over urban-like roughness. Boundary-Layer Meteorology. 2002;104:229-59.

Macdonald RW. Modelling the mean velocity profile in the urban canopy layer. Boundary-Layer Meteorology. 2000;97:25-45.

Zhang Y, Gu Z, Wang Z, Cheng Y, Lee FSC. Advances in the fine scale simulation of urban wind environment. Indoor and Built Environment. 2013;22:332-6.

Kitous S, Bensalem R, Adolphe L. Airflow patterns within a complex urban topography under hot and dry

Downloads

Published

2017-12-31

How to Cite

[1]
E. Reda, R. Zulkifli, and Z. Harun, “Towards developing an idealised city model with realistic aerodynamic features”, J. Mech. Eng. Sci., vol. 11, no. 4, pp. 2979–2992, Dec. 2017.

Similar Articles

<< < 24 25 26 27 28 29 30 31 32 33 > >> 

You may also start an advanced similarity search for this article.