Building porosity for better urban ventilation in high-density cities – A computational parametric study

Abstract Shape-edged buildings impose large frictional drag on the flow in the urban boundary layer. In the sub-tropics, especially during hot and humid summers, compact building blocks create stagnant air that worsens outdoor urban thermal comfort. The current study adapts the κ–ω SST turbulence model to simulate air flow in urban areas. The accuracy of the κ–ω SST turbulence model in detecting air flow around a rectangular block is validated by comparing it with the data from the wind tunnel experiment. In the computational parametric study, wind speed classification is derived based on Physiological Equivalent Temperature (PET) to evaluate the effect of wind speed on outdoor thermal comfort. Numerical analysis compares the effects of different building morphology modifications on pedestrian-level natural ventilation. Critical design issues are also identified. From both the accuracy and practical points of view, the current study allows city planners and architects to improve building porosity efficiently for better pedestrian-level urban ventilation, without losing land use efficacy.

[1]  M. Letzel,et al.  High resolution urban large-eddy simulation studies from street canyon to neighbourhood scale , 2008 .

[2]  Bert Blocken,et al.  CFD evaluation of wind speed conditions in passages between parallel buildings : effect of wall-function roughness modifications for the atmospheric boundary layer flow , 2007 .

[3]  Edward Ng,et al.  Thermal Comfort in Urban Open Spaces for Hong Kong , 2006 .

[4]  Jörg Franke,et al.  Recommendations of the COST action C14 on the use of CFD in predicting pedestrian wind environment , 2006 .

[5]  Yoshihide Tominaga,et al.  Comparison of various k-ε models and DSM applied to flow around a high-rise building - report on AIJ cooperative project for CFD prediction of wind environment - , 2002 .

[6]  E. Ng Policies and technical guidelines for urban planning of high-density cities – air ventilation assessment (AVA) of Hong Kong , 2008, Building and Environment.

[7]  Ryozo Ooka,et al.  CFD analysis of mesoscale climate in the Greater Tokyo area , 1997 .

[8]  Alexis K.H. Lau,et al.  Air ventilation impacts of the "wall effect" resulting from the alignment of high-rise buildings , 2009 .

[9]  Edward Ng,et al.  Comfort Temperatures for Naturally Ventilated Buildings in Hong Kong , 2006 .

[10]  Yasunobu Ashie,et al.  Effects of sea breeze on thermal environment as a measure against Tokyo's urban heat island , 2009 .

[11]  A. Arnfield Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island , 2003 .

[12]  P. Höppe,et al.  The physiological equivalent temperature – a universal index for the biometeorological assessment of the thermal environment , 1999, International journal of biometeorology.

[13]  Reginald Storms,et al.  Wind environmental conditions in passages between buildings , 1986 .

[14]  J. Monteith,et al.  Boundary Layer Climates. , 1979 .

[15]  Charles Meneveau,et al.  Field Experimental Study of Dynamic Smagorinsky Models in the Atmospheric Surface Layer. , 2004 .

[16]  C. Meneveau,et al.  Scale-Invariance and Turbulence Models for Large-Eddy Simulation , 2000 .

[17]  T. Oke,et al.  SITING AND EXPOSURE OF METEOROLOGICAL INSTRUMENTS AT URBAN SITES , 2004 .

[18]  Edward Ng,et al.  Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong , 2011, Landscape and Urban Planning.

[19]  Edward Ng,et al.  Outdoor thermal comfort study in a sub-tropical climate: a longitudinal study based in Hong Kong , 2011, International Journal of Biometeorology.

[20]  Kit Ming Lam,et al.  Evaluation of pedestrian-level wind environment around a row of tall buildings using a quartile-level wind speed descripter , 1995 .

[21]  Alexis K.H. Lau,et al.  Mesoscale Simulation of Year-to-Year Variation of Wind Power Potential over Southern China , 2009 .

[22]  Shuzo Murakami,et al.  Environmental design of outdoor climate based on CFD , 2006 .

[23]  Shuzo Murakami,et al.  New criteria for wind effects on pedestrians , 1981 .

[24]  Edward Ng,et al.  Climate Information for Improved Planning and Management of Mega Cities (Needs Perspective) , 2010 .

[25]  Yoshihide Tominaga,et al.  AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings , 2008 .

[26]  B. E. Lee,et al.  A wind tunnel study of the mean pressure forces acting on large groups of low-rise buildings , 1980 .

[27]  F. Kuznik,et al.  A RSM MODEL FOR THE PREDICTION OF HEAT AND MASS TRANSFER IN A VENTILATED ROOM , 2007 .

[28]  P. Taylor Turbulent Wakes in the Atmospheric Boundary Layer , 1988 .

[29]  Hiroaki Kondo,et al.  Numerical analysis of diffusion around a suspended expressway by a multi-scale CFD model , 2005 .

[30]  E. Ng,et al.  Towards planning and practical understanding of the need for meteorological and climatic information in the design of high‐density cities: A case‐based study of Hong Kong , 2012 .

[31]  Mathias W. Rotach,et al.  A wind tunnel study of organised and turbulent air motions in urban street canyons , 2001 .

[32]  Marcel Bottema,et al.  Roughness parameters over regular rough surfaces: Experimental requirements and model validation , 1996 .

[33]  Baruch Givoni,et al.  Climate considerations in building and urban design , 1998 .

[34]  F. Menter,et al.  Ten Years of Industrial Experience with the SST Turbulence Model , 2003 .

[35]  Timothy R. Oke,et al.  Aerodynamic Properties of Urban Areas Derived from Analysis of Surface Form , 1999 .

[36]  P. Kastner-Kleina,et al.  A wind tunnel study of organised and turbulent air motions in urban street canyons , 2001 .