Investigation on Wind Environments of Surrounding Open Spaces Around a Public Building

The purpose of this study is to highlight the effectiveness and necessity of the computational methods applications for architecture conceptual designs and improve the use of advanced simulation tools in urban planning. The results can provide the urban designers, planners and other decision makers with useful design information for assessing human wind comfort of the surrounding open spaces of public buildings in an urban area. Among different kinds of public buildings, museum architecture is of significant social value and importance for the augmentation of urban image. Using the Guggenheim Museum Bilbao for the case study, this investigation performed CFD simulations of the airflow over the museum to characterize the wind environments around the buildings. The predicted wind speed distributions were used to determine the wind comfort level of the featured spots around the museum for evaluating the suitability allowing visitors to sit or stand at the pedestrian plane for extended periods.

[1]  An-Shik Yang,et al.  Myth of ecological architecture designs: Comparison between design concept and computational analysis results of natural-ventilation for Tjibaou Cultural Center in New Caledonia , 2011 .

[2]  Yoshihide Tominaga,et al.  Visualization of city breathability based on CFD technique: case study for urban blocks in Niigata City , 2012, Journal of Visualization.

[3]  Shenq-Yuh Jaw,et al.  Parallel Computation of Turbulent Flows Using Equation Decomposition Scheme , 1998 .

[4]  S. Acharya,et al.  Comparison of the Piso, Simpler, and Simplec Algorithms for the Treatment of the Pressure-Velocity Coupling in Steady Flow Problems , 1986 .

[5]  Parham A. Mirzaei,et al.  A procedure to quantify the impact of mitigation techniques on the urban ventilation , 2012 .

[6]  Javier Cenicacelaya Marijuan,et al.  Bilbao 1300-2000: hiri ikuspegia = una visión urbana = an urban vision , 2001 .

[7]  Bert Blocken,et al.  CFD simulation for pedestrian wind comfort and wind safety in urban areas: General decision framework and case study for the Eindhoven University campus , 2012, Environ. Model. Softw..

[8]  Edward Ng,et al.  Building porosity for better urban ventilation in high-density cities – A computational parametric study , 2011, Building and Environment.

[9]  Heinz Herwig,et al.  Asymptotic analysis of the near-wall region of turbulent natural convection flows , 2005, Journal of Fluid Mechanics.

[10]  Roy M. Harrison,et al.  Understanding our environment : an introduction to environmental chemistry and pollution , 1992 .

[11]  A. D. Penwarden Acceptable wind speeds in towns , 1973 .

[12]  P. Linden,et al.  The effectiveness of an air curtain in the doorway of a ventilated building , 2014, Journal of Fluid Mechanics.

[13]  van Taj Twan Hooff,et al.  Computational analysis of the performance of a venturi-shaped roof for natural ventilation : venturi-effect versus wind-blocking effect , 2011 .

[14]  Jan Carmeliet,et al.  Pedestrian wind conditions at outdoor platforms in a high-rise apartment building: generic sub-configuration validation, wind comfort assessment and uncertainty issues , 2008 .

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

[16]  Nicolas G. Wright,et al.  On the use of the k–ε model in commercial CFD software to model the neutral atmospheric boundary layer , 2007 .

[17]  Amir Babak Ansari,et al.  Numerical Study of Combined Radiation and Turbulent Mixed Convection Heat Transfer in a Compartment Containing Participating Media , 2015 .

[18]  Eddy Willemsen,et al.  Design for wind comfort in The Netherlands: Procedures, criteria and open research issues , 2007 .

[19]  J. P. V. Doormaal,et al.  ENHANCEMENTS OF THE SIMPLE METHOD FOR PREDICTING INCOMPRESSIBLE FLUID FLOWS , 1984 .

[20]  Qingyan Chen,et al.  Using computational tools to factor wind into architectural environment design , 2004 .

[21]  P. Richards,et al.  Appropriate boundary conditions for computational wind engineering models using the k-ε turbulence model , 1993 .

[22]  Jon Wieringa,et al.  Updating the Davenport roughness classification , 1992 .

[23]  C. P. Caulfield,et al.  Time-dependent ventilation flows driven by opposing wind and buoyancy , 2008, Journal of Fluid Mechanics.

[24]  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.

[25]  Ying Ming Su,et al.  Wind Simulations for Studying Ecological Influences of Existing Guggenheim Museum Bilbao on the Urban Surroundings , 2013 .

[26]  Nuno R. Martins,et al.  Thermal and airflow simulation of a naturally ventilated shopping mall , 2012 .

[27]  Min-Chie Chiu,et al.  Optimization of Rectangular Multi-Chamber Plenums Equipped with Multiple Extended Tubes Using the BEM, Neural Networks, and the Genetic Algorithm , 2014 .

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

[29]  W. J. Saucier,et al.  Principles of meteorological analysis , 1955 .

[30]  Wai-Fah Chen,et al.  Handbook of Structural Engineering , 1997 .

[31]  Catharine Ward Thompson,et al.  Urban open space in the 21st century , 2002 .

[32]  Bje Bert Blocken,et al.  Pedestrian wind comfort around a large football stadium in an urban environment: CFD simulation, validation and application of the new Dutch wind nuisance standard , 2009 .

[33]  An-Shik Yang,et al.  Using the central ventilation shaft design within public buildings for natural aeration enhancement , 2014 .

[34]  Stefano Leonardi,et al.  Channel flow over large cube roughness: a direct numerical simulation study , 2010, Journal of Fluid Mechanics.