Effects of lift-up design on pedestrian level wind comfort in different building configurations under three wind directions

Abstract The pedestrian level wind environment is seriously deteriorated by moderated local wind flow in a densely built-up subtropical city like Hong Kong. In order to improve the weak wind condition, the lift-up design has been used for some time. However, there is a lack of understanding and quantitative assessment of its modification on the pedestrian level wind comfort around different building configurations under different wind directions. This paper aims to study the effects of lift-up design in four common building configurations on the wind comfort via computational fluid dynamics (CFD) simulations. The turbulence model and numerical method are firstly validated by comparing the simulated wind flow data with the wind tunnel test results. The validated model is then utilized to simulate the four building configurations, including the “─”, “L”, “U” and “□” shaped buildings. The mean wind velocity ratio ( MVR ) and mean wind velocity change ratio ( Δ MVR ) are employed to identify the wind comfort and to quantitatively evaluate the improvements due to the lift-up design. Results show that the lift-up design can improve the wind comfort in building surroundings and its influence is highly dependent on the incident wind direction. Specifically, the wind comfort is better under the oblique wind direction than the other two wind directions. These findings can provide us a better understanding of the lift-up design and will be helpful in better precinct planning.

[1]  Jianlei Niu,et al.  CFD simulation of the wind environment around an isolated high-rise building: An evaluation of SRANS, LES and DES models , 2016 .

[2]  Cheuk Ming Mak,et al.  Analysis of fluctuating characteristics of wind-induced airflow through a single opening using LES modeling and the tracer gas technique , 2014 .

[3]  Shinsuke Kato,et al.  Towards the application of indoor ventilation efficiency indices to evaluate the air quality of urban areas , 2008 .

[4]  Bje Bert Blocken,et al.  Pedestrian-level wind conditions around buildings: Review of wind-tunnel and CFD techniques and their accuracy for wind comfort assessment , 2016 .

[5]  Akashi Mochida,et al.  Prediction of wind environment and thermal comfort at pedestrian level in urban area , 2006 .

[6]  A. Mochida,et al.  Wind tunnel tests on the relationship between building density and pedestrian-level wind velocity: Development of guidelines for realizing acceptable wind environment in residential neighborhoods , 2008 .

[7]  Cheuk Ming Mak,et al.  CFD simulation of flow and dispersion around an isolated building: Effect of inhomogeneous ABL and near-wall treatment , 2013 .

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

[9]  Mats Sandberg,et al.  Age of air and air exchange efficiency in idealized city models , 2009 .

[10]  Kenny C. S Kwok,et al.  Effects of building lift-up design on the wind environment for pedestrians , 2017 .

[11]  Kenny C. S Kwok,et al.  Wind tunnel study of pedestrian level wind environment around tall buildings: Effects of building dimensions, separation and podium , 2012 .

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

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

[14]  Yuguo Li,et al.  Experimental and numerical studies of flows through and within high-rise building arrays and their link to ventilation strategy , 2011 .

[15]  Y. Tominaga,et al.  Numerical simulation of dispersion around an isolated cubic building: Model evaluation of RANS and LES , 2010 .

[16]  Yi Jiang,et al.  Study of natural ventilation in buildings with large eddy simulation , 2001 .

[17]  Jianlei Niu,et al.  Combining measured thermal parameters and simulated wind velocity to predict outdoor thermal comfort , 2016 .

[18]  Tzu-Ping Lin,et al.  Thermal perception, adaptation and attendance in a public square in hot and humid regions , 2009 .

[19]  Z T Ai,et al.  Numerical investigation of wind-induced airflow and interunit dispersion characteristics in multistory residential buildings. , 2013, Indoor air.

[20]  V. Cheng,et al.  Urban human thermal comfort in hot and humid Hong Kong , 2012 .

[21]  Dominique Marchio,et al.  Numerical simulation of single-sided ventilation using RANS and LES and comparison with full-scale experiments , 2012 .

[22]  Fazia Ali-Toudert,et al.  Outdoor thermal comfort in the old desert city of Beni-Isguen, Algeria , 2005 .

[23]  Yoshihide Tominaga,et al.  Cooperative project for CFD prediction of pedestrian wind environment in the Architectural Institute of Japan , 2007 .

[24]  Kenny C. S Kwok,et al.  A new method to assess spatial variations of outdoor thermal comfort: Onsite monitoring results and implications for precinct planning , 2015 .

[25]  Yasushi Uematsu,et al.  Effects of the corner shape of high-rise buildings on the pedestrian-level wind environment with consideration for mean and fluctuating wind speeds , 1992 .

[26]  Bje Bert Blocken,et al.  3D CFD simulations of wind flow and wind-driven rain shelter in sports stadia: Influence of stadium geometry , 2011 .

[27]  Lina Yang,et al.  City ventilation of Hong Kong at no-wind conditions , 2009 .

[28]  A. Chan,et al.  Strategic guidelines for street canyon geometry to achieve sustainable street air quality—part II: multiple canopies and canyons , 2003 .

[29]  Bje Bert Blocken,et al.  Pedestrian wind comfort around buildings : comparison of wind comfort criteria based on whole-flow field data for a complex case study , 2013 .

[30]  Kenny C. S Kwok,et al.  CFD simulation of the effect of an upstream building on the inter-unit dispersion in a multi-story building in two wind directions , 2016, Journal of Wind Engineering and Industrial Aerodynamics.

[31]  Yoshihide Tominaga,et al.  Numerical simulation of dispersion around an isolated cubic building: Comparison of various types of k–ɛ models , 2009 .

[32]  M. Nikolopoulou,et al.  Thermal comfort in outdoor urban spaces: Analysis across different European countries , 2006 .

[33]  P. Spalart,et al.  A New Version of Detached-eddy Simulation, Resistant to Ambiguous Grid Densities , 2006 .

[34]  Cheuk Ming Mak,et al.  From street canyon microclimate to indoor environmental quality in naturally ventilated urban buildings: Issues and possibilities for improvement , 2015, Building and Environment.

[35]  Mats Sandberg,et al.  Wind conditions and ventilation in high-rise long street models , 2010 .