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

Published online by Cambridge University Press:  03 June 2016

A.-S. Yang ,
Y.-H. Juan ,
C.-Y. Wen ,
Y.-M. Su  and
Y.-C. Wu
A.-S. Yang
Affiliation:
Department of Energy and Refrigerating Air-Conditioning EngineeringNational Taipei University of TechnologyTaipei, Taiwan
Y.-H. Juan
Affiliation:
Department of Energy and Refrigerating Air-Conditioning EngineeringNational Taipei University of TechnologyTaipei, Taiwan
C.-Y. Wen*
Affiliation:
Department of Mechanical EngineeringThe Hong Kong Polytechnic UniversityKowloon, Hong Kong
Y.-M. Su
Affiliation:
Department of ArchitectureNational Taipei University of TechnologyTaipei, Taiwan
Y.-C. Wu
Affiliation:
Department of ArchitectureNational Taipei University of TechnologyTaipei, Taiwan
*
*Corresponding author ([email protected])
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Abstract

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.

Keywords

Public buildingsCFD simulationsWind field
Type
Research Article
Information
Journal of Mechanics , Volume 33 , Issue 1 , February 2017 , pp. 101 - 113
Copyright
Copyright © The Society of Theoretical and Applied Mechanics 2017 

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References

1. Frank, D. and Linden, P. F., “The Effectiveness of an Air Curtain in the Doorway of a Ventilated Building,” Journal of Fluid Mechanics, 756, pp. 130–64 (2014).CrossRefGoogle Scholar
2. Coomaraswamy, I. A. and Caulfield, C. P., “Time-Dependent Ventilation Flows Driven by Opposing Wind and Buoyancy,” Journal of Fluid Mechanics, 672, pp. 33–59 (2011).CrossRefGoogle Scholar
3. Leonardi, S. and Castro, I. P., “Channel Flow over Large Cube Roughness: A Direct Numerical Simulation Study,” Journal of Fluid Mechanics, 651, pp. 519–39 (2010).Google Scholar
4. Holling, M. and Herwig, H., “Asymptotic Analysis of the Near-Wall Region of Turbulent Natural Convection Flows,” Journal of Fluid Mechanics, 541, pp. 383–97 (2005).CrossRefGoogle Scholar
5. Asghari, A., Gandjalikhan Nassab, S. A. and Ansari, A. B., “Numerical Study of Combined Radiation and Turbulent Mixed Convection Heat Transfer in a Compartment Containing Participating Media,” Journal of Mechanics, doi: 10.1017/jmech.2015.24. (2015).CrossRefGoogle Scholar
6. Chang, Y. C. and Chiu, M. C., “Optimization of Rectangular Multi-Chamber Plenums Equipped with Multiple Extended Tubes Using the BEM, Neural Networks, and the Genetic Algorithm,” Journal of Mechanics, 30, pp. 571–584 (2014).CrossRefGoogle Scholar
7. Thompson, C. W., “Urban Open Space in the 21st Century,” Landscape and Urban Planning, 60, pp. 59–72 (2002).Google Scholar
8. Lee, D., “Bilbao, 10 Years Later,” http://travel.nytimes.com/2007/09/23/travel/23bilbao.html?pagewanted=all;%202007&_r=0/ (2007).Google Scholar
9. Johnson, P., “The Guggenheim Museum in Bilbao is the greatest building of our times,” http://jdoming.wordpress.ncsu.edu/category/bgm/ (2012).Google Scholar
10. Chen, Q., “Using Computational Tools to Factor Wind Into Architectural Environment Design,” Energy and Buildings, 36, pp. 1197–1209 (2004).CrossRefGoogle Scholar
11. Blocken, B., van Hooff, T., Aanen, L. and Bronsema, B., “Computational Analysis of the Performance of a Venturi-Shaped Roof for Natural Ventilation: Venturi-Effect Versus Wind-Blocking Effect,” Computers & Fluids, 48, pp. 202–213 (2011).Google Scholar
12. van Hooff, T., Blocken, B. and van Harten, M., “3D CFD Simulations of Wind Flow and Wind-Driven Rain Shelter in Sports Stadia: Influence of Stadium Geometry,” Building and Environment, 46, pp. 22–37 (2011).CrossRefGoogle Scholar
13. Tominaga, Y., “Visualization of City Breathability Based on CFD Technique: Case Study for Urban Blocks in Niigata City,” Journal of Visualization, 15, pp. 269–276 (2012).Google Scholar
14. Yuan, C. and Ng, E., “Building Porosity for Better Urban Ventilation in High-Density Cities—A Computational Parametric Study,” Building and Environment, 50, pp. 176–189 (2012).CrossRefGoogle Scholar
15. Tominaga, Y., Mochida, A., Yoshie, R., Kataoka, H., Nozu, T. and Yoshikawa, M., “AIJ Guidelines for Practical Applications of CFD to Pedestrian Wind Environment Around Buildings,” Journal of Wind Engineering and Industrial Aerodynamics, 96, pp. 1749–1761 (2008).CrossRefGoogle Scholar
16. Blocken, B. and Carmeliet, J., “Pedestrian Wind Conditions at Outdoor Platforms in a High-Rise Apartment Building: Generic Sub-Configuration Validation, Wind Comfort Assessment and Uncertainty Issues,” Wind and Structures, 11, pp. 51–70 (2008).Google Scholar
17. Blocken, B. and Persoon, J., “Pedestrian Wind Comfort Around a Large Football Stadium in an Urban Environment: CFD Simulation, Validation and Application of the New Dutch Wind Nuisance Standard,” Journal of Wind Engineering and Industrial Aerodynamics, 97, pp. 255–270 (2009).Google Scholar
18. Ng, E., Yuan, C., Chen, L., Ren, C. and Fung, J. C. H., “Improving the Wind Environment in High-Density Cities by Understanding Urban Morphology and Surface Roughness: A Study in Hong Kong,” Landscape and Urban Planning, 101, pp. 59–74 (2011).CrossRefGoogle ScholarPubMed
19. Mirzaei, P. A. and Haghighat, F., “A Procedure to Quantify the Impact of Mitigation Techniques on the Urban Ventilation,” Building and Environment, 47, pp. 410–420 (2012).Google Scholar
20. Blocken, B., Janssen, W. D. and van Hooff, T., “CFD Simulation for Pedestrian Wind Comfort and Wind Safety in Urban Areas: General Decision Framework and Case Study for the Eindhoven University Campus,” Environmental Modelling and Software, 30, pp. 15–34 (2012).Google Scholar
21. Penwarden, A. D., Acceptable Wind Speeds in Towns, Building Research Establishment, Department of the Environment, Garston, pp. 259–267 (1974).Google Scholar
22. Saucier, W. J., Principles of Meteorological Analysis, University of Chicago, Chicago (1955).Google Scholar
23. Willemsen, E. and Wisse, J. A., “Design for Wind Comfort in the Netherlands: Procedures, Criteria and Open Research Issues,” Journal of Wind Engineering and Industrial Aerodynamics, 95, pp. 1541–1550 (2007).CrossRefGoogle Scholar
24. Graça, G. C. D., Martins, N. R. and Horta, C. S., “Thermal and Airflow Simulation of a Naturally Ventilated Shopping Mall,” Energy and Buildings, 50, pp. 177–188 (2012).Google Scholar
25. NEN-8100, Wind Comfort and Wind Danger in the Built Environment, NEN 8100 Dutch Standard, Dutch (2006).Google Scholar
26. Su, Y. M., Wu, Y. C., Yang, A. S. and Juan, Y. H., “Wind Simulations for Studying Ecological Influences of Existing Guggenheim Museum Bilbao on the Urban Surroundings,” Advanced Science Letters, 19, pp. 2884–2890 (2013).Google Scholar
27. Tyrnauer, M., “Architecture in the Age of Gehry,” http://www.vanityfair.com/culture/features/2010/08/architecture-survey-201008?currentPage=all;%202010 (2010).Google Scholar
28. Bruggen, C. V. and Gehry, F. O., Guggenheim Museum Bilbao, Hatje Cantz Verlag, German (1997).Google Scholar
29. Nero, I. and Weingarden, L. S., “Computers, Cladding, and Curves the Techno-Morphism of Frank Gehry's Guggenheim Museum in Bilbao, Spain,” Ph.D. Dissertations, Department of Art History, Florida State University, U.S.A. (2004).Google Scholar
30. Guggenheim Bilbao Museoa, http://www.guggenheim-bilbao.es/en/thebuilding/ (2012).Google Scholar
31. Cenicacelaya, J., Román, A. and Saloña, I., Bilbao 1300-2000: Hiri Ikuspegia/Una Visión Urbana/An Urban Vision, Bilbao: Colegio Oficial de Arquitectos Vasco-Navarro, Spain (2001).Google Scholar
32. ANSYS, ANSYS FLUENT 15.0 User's Guide, ANSYS, Inc., United States (2013).Google Scholar
33. Harrison, R. M., Understanding Our Environment: an Introduction to Environmental Chemistry and Pollution, Royal Society of Chemistry, Cambridge, UK (1992).Google Scholar
34. “Weather Information for Bilbao,” World Meteorological Organization, http://Worldweather.Wmo.Int/083/C01233.Htm (2014).Google Scholar
35. Richards, P. and Hoxey, R., “Appropriate Boundary Conditions for Computational Wind Engineering Models Using the K-Turbulence Model,” Journal of Wind Engineering and Industrial Aerodynamics, 46-47, pp. 145–153 (1993).CrossRefGoogle Scholar
36. Richards, P. J., Computational Modelling of Wind Flows Around Low Rise Buildings Using PHOENIX, Report for the ARFC Institute of Engineering Research Wrest Park, Silsoe Research Institute, Bedfordshire, UK, pp. 93–112 (1989).Google Scholar
37. Wieringa, J., “Updating the Davenport Roughness Classification,” Journal of Wind Engineering and Industrial Aerodynamics, 41, pp. 357–368 (1992).Google Scholar
38. Chen, W. F., Handbook of Structural Engineering. CRC Press, Boca Raton (1997).Google Scholar
39. Hargreaves, D. M. and Wright, N. G., “On the Use of the K-Ε Model in Commercial CFD Software to Model the Neutral Atmospheric Boundary Layer,” Journal of Wind Engineering and Industrial Aerodynamics, 95, pp. 355–369 (2007).Google Scholar
40. Van Doormaal, J. P. and Raithby, G. D., “Enhancements of the SIMPLE Method for Predicting Incompressible Fluid Flows,” Numerical Heat Transfer, 7, pp. 147–163 (1984).Google Scholar
41. Jang, D. S., Jetli, R. and Acharya, S., “Comparison of the PISO, SIMPLER, and SIMPLEC Algorithms for the Treatment of the Pressure-Velocity Coupling in Steady Flow Problems,” Numerical Heat Transfer, 10, pp. 209–228 (1986).Google Scholar
42. Jaw, S. Y. and Wang, A. Y., “Parallel Computation of Turbulent Flows Using Equation Decomposition Scheme,” Journal of Mechanics, 14, pp. 137–144 (1998).Google Scholar
43. Wu, Y. C., Yang, A. S., Tseng, L. Y. and Liu, C. L., “Myth of Ecological Architecture Designs: Comparison Between Design Concept and Computational Analysis Results of Natural-Ventilation for Tjibaou Cultural Center in New Caledonia,” Energy and Buildings, 43, pp. 2788–2797 (2011).CrossRefGoogle Scholar
44. Casey, M. and Wintergerste, T., ERCOFTAC Best Practice Guidelines: ERCOFTAC Special Interest Group on Quality and Trust in Industrial CFD, ERCOFTAC, Brussels (2000).Google Scholar
45. Yang, A. S., Wen, C. Y., Juan, Y. H., Su, Y. M. and Wu, J. H., “Using the Central Ventilation Shaft Design Within Public Buildings for Natural Aeration Enhancement,” Applied Thermal Engineering, 70, pp. 219–230 (2014).Google Scholar
46. Yang, A. S., Wen, C. Y., Juan, Y. H., Su, Y. M. and Chang, C. J., (in press). “Analysis of the Cooling Effects by Vegetation for Improving the Outdoor Thermal Environment in Public Park in Subtropical Taipei Taiwan,” Urban Forestry & Urban Greening (in press).Google Scholar
47. Museo Guggenheim Bilbao, Google Maps, https://goo.gl/maps/s2TU3Ec6baG2 (2016).Google Scholar