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Computational Wind Engineering: Theory and Applications

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Environmental Wind Engineering and Design of Wind Energy Structures

Part of the book series: CISM Courses and Lectures ((CISM,volume 531))

Abstract

Computational Wind Engineering (CWE) is the application of computational methods to Wind Engineering problems. While CWE is more than Computational Fluid Dynamics (CFD) alone, CFD has so far constituted the major part of CWE.

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References to Literature

  • AIAA. 1998. AIAA Guide for the verification and validation of Computational Fluid Dynamics simulations. American Institute of Aeronautics and Astronautics Staf. (AIAA G-077-1998).

    Google Scholar 

  • ASHRAE. (1999). Building air intake and exhaust design. Applications Handbook. Chapter 43.

    Google Scholar 

  • ASHRAE. (2003). Building air intake and exhaust design. ASHRAE Application Handbook. Chapter 44.

    Google Scholar 

  • ASHRAE. (2007). Building air intake and exhaust design. Applications Handbook. Chapter

    Google Scholar 

  • Baetke, F., Werner, H., and Wengle, H. (1990). Numerical simulation of turbulent flow over surface-mounted obstacles with sharp edges and corners. Journal of Wind Engineering and Industrial Aerodynamics 35(1–3): 129–147.

    Google Scholar 

  • Baik, J. J., and Kim, J. J. (2002). On the escape of pollutants from urban street canyons. Atmospheric Environment 36(3): 527–536.

    Google Scholar 

  • Baik, J. J., Kim, J. J., and Fernando, H. J. S. (2003). A CFD model for simulating urban flow and dispersion. Journal of Applied Meteorology 42(11): 1636–1648.

    Google Scholar 

  • Baik, J. J., Park, S. B., and Kim, J. J. (2009). Urban flow and dispersion simulation using a CFD model coupled to a mesoscale model. Journal of Applied Meteorology and Climatology 48(8): 1667–1681.

    Google Scholar 

  • Barad, M. L. (1958). Project prairie grass. A field program in diffusion. Geophysical Research Paper, No. 59, vols. I and II, Report AFCRC-TR-58-235. Air Force Cambridge Research Center, Bedford, MA.

    Google Scholar 

  • Bartzis, J. G., Vlachogiannis, D., and Sfetsos, A. (2004). Thematic area 5: Best practice advice for environmental flows. The QNET-CFD Network Newsletter 2(4): 34–39.

    Google Scholar 

  • Baskaran, A., and Kashef, A. (1996). Investigation of air flow around buildings using computational fluid dynamics techniques. Engineering Structures 18(11): 861–873.

    Google Scholar 

  • Baskaran, A., and Stathopoulos, T. (1989). Computational evaluation of wind effects on buildings. Building and Environment 24(4): 325–333.

    Google Scholar 

  • Baskaran, A., and Stathopoulos, T. (1992). Influence of computational parameters on the evaluation of wind effects on the building envelope. Building and Environment 27(1): 39–49.

    Google Scholar 

  • Bejan, A. (2004). Convection heat transfer. 3rd Ed., Wiley.

    Google Scholar 

  • Beranek, W. J. (1982). Beperken van windhinder om gebouwen, deel 2, Stichting Bouwresearch no. 90, Kluwer Technische Boeken BV, Deventer (in Dutch).

    Google Scholar 

  • Beranek, W. J. (1984). Wind environment around single buildings of rectangular shape. Heron 29(1): 4–31.

    Google Scholar 

  • Beranek, W. J., and Van Koten, H. (1979). Beperken van windhinder om gebouwen, deel 1, Stichting Bouwresearch no. 65, Kluwer Technische Boeken BV, Deventer (in Dutch).

    Google Scholar 

  • Blocken, B., and Carmeliet, J. (2004a). Pedestrian wind environment around buildings: Literature review and practical examples. Journal of Thermal Envelope and Building Science 28(2): 107–159.

    Google Scholar 

  • Blocken, B., and Carmeliet, J. (2004b). A review of wind-driven rain research in building science. Journal of Wind Engineering and Industrial Aerodynamics 92(13): 1079–1130.

    Google Scholar 

  • Blocken, B., Roels, S., and Carmeliet, J. (2004). Modification of pedestrian wind comfort in the Silvertop Tower passages by an automatic control system. Journal of Wind Engineering and Industrial Aerodynamics 92(10): 849–873.

    Google Scholar 

  • Blocken, B., and Carmeliet, J. (2006). The influence of the wind-blocking effect by a building on its wind-driven rain exposure. Journal of Wind Engineering and Industrial Aerodynamics 94(2): 101–127.

    Google Scholar 

  • Blocken, B., Stathopoulos, T., and Carmeliet, J. (2007a). CFD simulation of the atmospheric boundary layer: wall function problems. Atmospheric Environment 41(2): 238–252.

    Google Scholar 

  • Blocken, B., Carmeliet, J., and Stathopoulos, T. (2007b). CFD evaluation of wind speed conditions in passages between parallel buildings—effect of wall-function roughness modifications for the atmospheric boundary layer flow. Journal of Wind Engineering and Industrial Aerodynamics 95(9–11): 941–962.

    Google Scholar 

  • Blocken, B., and Carmeliet, J. (2008). 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(1): 51–70.

    Google Scholar 

  • Blocken, B., Moonen, P., Stathopoulos, T., and Carmeliet, J. (2008a). A numerical study on the existence of the Venturi-effect in passages between perpendicular buildings. Journal of Engineering Mechanics — ASCE 134(12): 1021–1028.

    Google Scholar 

  • Blocken, B., Stathopoulos, T., Saathoff, P., and Wang, X. (2008b). Numerical evaluation of pollutant dispersion in the built environment: comparisons between models and experiments. Journal of Wind Engineering and Industrial Aerodynamics 96(10–11): 1817–1831.

    Google Scholar 

  • Blocken, B., and Persoon, J. (2009). 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(5–6): 255–270.

    Google Scholar 

  • Blocken, B., Deszö, G., van Beeck, J., and Carmeliet, J. (2010). Comparison of calculation methods for wind-driven rain deposition on building facades. Atmospheric Environment 44(14): 1714–1725.

    Google Scholar 

  • Bottema, M. (1993). Wind climate and urban geometry. PhD thesis, Eindhoven University of Technology, 212p.

    Google Scholar 

  • Briggen, P. M., Blocken, B., Schellen, H. L. (2009). Wind-driven rain on the facade of a monumental tower: numerical simulation, full-scale validation and sensitivity analysis. Building and Environment 44(8): 1675–1690.

    Google Scholar 

  • Brunekreef, B., and Holgate, S. T., (2002). Air pollution and health. Lancet, 360(9341): 1233–1242.

    Google Scholar 

  • Buccolieri, R., Gromke, C., Di Sabatino, S., and Ruck, B. (2009). Aerodynamic effects of trees on pollutant concentration in street canyons. Science of the Total Environment 407(19): 5247–5256.

    Google Scholar 

  • Casey, M., and Wintergerste, T. (2000). Best Practice Guidelines, ERCOFTAC Special Interest Group on Quality and Trust in Industrial CFD, ERCOFTAC, Brussels.

    Google Scholar 

  • Chan, T. L, Dong, G., Leung, C. W., Cheung, C. S., Hung, T. W. (2002). Validation of a two-dimensional pollutant dispersion model in an isolated street canyon. Atmospheric Environment 36(5): 861–872.

    Google Scholar 

  • Cheng, W. C., Liu, C. H., and Leung, D. Y. C. (2009). On the correlation of air and pollutant exchange for street canyons in combined wind-buoyancy-driven flow. Atmospheric Environment 43(24): 3682–3690.

    Google Scholar 

  • Choi, E. C. C. (1993). Simulation of wind-driven rain around a building. Journal of Wind Engineering and Industrial Aerodynamics 46&47: 721–729.

    Google Scholar 

  • Choi, E. C. C. (1994). Determination of wind-driven-rain intensity on building faces. Journal of Wind Engineering and Industrial Aerodynamics 51: 55–69.

    Google Scholar 

  • Cowan, I. R., Castro, I. P., and Robins, A. G. (1997). Numerical considerations for simulations of flow and dispersion around buildings, Journal of Wind Engineering and Industrial Aerodynamics 67 & 68: 535–545.

    Google Scholar 

  • Davidson, C. I., Tang, W., Finger, S., Etyemezian, V., Striegel, M. F., and Sherwood, S. I. (2000). Soiling patterns on a tall limestone building: changes over 60 years, Environmental Science and Technology 34(4): 560–565.

    Google Scholar 

  • Di Sabatino, S., Buccolieri, R., Pulvirenti, B., and Britter, R. E. (2008). Flow and pollutant dispersion in street canyons using FLUENT and ADMS-Urban. Environmental Modeling & Assessment 13(3): 369–381.

    Google Scholar 

  • Drivas, P. J., and Shair, F.H. (1974). Probing the air flow within the wake downwind of a building by means of a tracer technique. Atmospheric Environment 8: 1165–1175.

    Google Scholar 

  • Ferreira, A. D., Sousa, A. C. M., and Viegas, D. X. (2002). Prediction of building interference effects on pedestrian level comfort. Journal of Wind Engineering and Industrial Aerodynamics 90(4–5): 305–319.

    Google Scholar 

  • Ferziger, J. H., and Peric, M. (1996). Computational methods for fluid dynamics. Springer Berlin, 356p.

    MATH  Google Scholar 

  • Franke, J., Hirsch, C., Jensen, A. G., Krüs, H. W., Schatzmann, M., Westbury, P. S., Miles, S. D., Wisse, J. A., and Wright, N. G. (2004). Recommendations on the use of CFD in wind engineering. In: van Beeck, J. P. A. J. (Ed.), Proceedings of the International Conference on Urban Wind Engineering and Building Aerodynamics. COST Action C14, Impact of Wind and Storm on City Life Built Environment. Von Karman Institute, Sint-Genesius-Rode, Belgium, 5–7 May 2004.

    Google Scholar 

  • Franke, J., and Frank, W. (2005). Numerical simulation of the flow across an asymmetric street intersection. In: Proceedings of the Fourth European and African Conference on Wind Engineering (4EACWE), 11–15 July 2005, Prague, Czech Republic.

    Google Scholar 

  • Franke, J., Hellsten, A., Schlünzen, H., and Carissimo, B. (Eds.), (2007). Best practice guideline for the CFD simulation of flows in the urban environment. COST Office Brussels.

    Google Scholar 

  • Franke J., and Frank, W. (2008). Application of generalized Richardson extrapolation to the computation of the flow across an asymmetric street intersection. Journal of Wind Engineering and Industrial Aerodynamics 96(10–11): 1616–1628.

    Google Scholar 

  • Gadilhe, A., Janvier, L., and Barnaud, G. (1993). Numerical and experimental modelling of the three-dimensional turbulent wind flow through an urban square. Journal of Wind Engineering and Industrial Aerodynamics 46–47: 755–763.

    Google Scholar 

  • Gibson, M. M., and Launder, B. E. (1978). Ground effects on pressure fluctuations in the atmospheric boundary layer. Journal of Fluid Mechanics 86: 491–511.

    MATH  Google Scholar 

  • Gorlé, C., van Beeck, J., Rambaud, P., and Van Tendeloo, G. (2009). CFD modelling of small particle dispersion: the influence of the turbulence kinetic energy in the atmospheric boundary layer. Atmospheric Environment 43(3): 673–681.

    Google Scholar 

  • Gromke, C., Buccolieri, R., Di Sabatino, S., and Ruck, B. (2008). Dispersion study in a street canyon with tree planting by means of wind tunnel and numerical investigations — Evaluation of CFD data with experimental data. Atmospheric Environment 42(37): 8640–8650.

    Google Scholar 

  • Halitsky, J. (1963). Gas diffusion near buildings. ASHRAE Transactions 69: 464–485.

    Google Scholar 

  • Hall, R. C. (Ed.) (1997). Evaluation of modelling uncertainty. CFD modelling of near-field atmospheric dispersion. Project EMU final report, European Commission Directorate-General XII Science, Research and Development Contract EV5V-CT94-0531, WS Atkins Consultants Ltd., Surrey.

    Google Scholar 

  • Hangan, H. (1999). Wind-driven rain studies. A C-FD-E approach. Journal of Wind Engineering and Industrial Aerodynamics 81: 323–331.

    Google Scholar 

  • Hanna, S. R. (1989). Plume dispersion and concentration fluctuations in the atmosphere. Encyclopedia of Environmental Control Technology. In: Air Pollution Control, Vol. 2. Gulf Publishing Company, Houston, TX, 547–582.

    Google Scholar 

  • Hanna, S. R., Brown, M. J., Camelli, F. E., Chan, S. T., Coirier, W. J., Hansen, O. R., Huber, A. H., Kim, S., Reynolds, R. M. (2006). Detailed simulations of atmospheric flow and dispersion in downtown Manhattan: An application of five computational fluid dynamics models. Bulletin of the American Meteorological Society 87(12): 1713+.

    Google Scholar 

  • Hanson, T., Summers D. M., and Wilson, C.B. (1986). Validation of a computer simulation of wind flow over a building model. Building and Environment 21: 97–111.

    Google Scholar 

  • Hargreaves, D.M., and Wright, N.G. (2007). 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(5): 355–369.

    Google Scholar 

  • He, J., and Song, C.C.S. (1999). Evaluation of pedestrian winds in urban area by numerical approach. Journal of Wind Engineering and Industrial Aerodynamics 81, 295–309.

    Google Scholar 

  • Hirsch, C., Bouffioux, V., and Wilquem, F. (2002). CFD simulation of the impact of new buildings on wind comfort in an urban area. Workshop Proceedings, Cost Action C14, Impact of Wind and Storm on City Life and Built Environment, Nantes, France.

    Google Scholar 

  • Huang, H., Ooka, R., Chen, H., Kato, S., Takahashi, T., and Watanabe, T. (2008). CFD analysis on traffic-induced air pollutant dispersion under non-isothermal condition in a complex urban area in winter. Journal of Wind Engineering and Industrial Aerodynamics 96(10–11): 1774–1788.

    Google Scholar 

  • Huber, A.H., and Snyder, W.H. (1982). Wind tunnel investigation of the effects of a rectangular shaped building on dispersion of effluent from short adjacent stacks. Atmospheric Environment 16(12): 2837–2848.

    Google Scholar 

  • Jiang, Y., and Chen, Q. (2003). Buoyancy-driven single-sided natural ventilation in buildings with large openings. International Journal of Heat and Mass Transfer 46(6): 973–988.

    Google Scholar 

  • Jones, W. P., and Launder, B. E. (1972). The prediction of laminarization with a 2-equation model of turbulence. International Journal of Heat and Mass Transfer 15: 301.

    Google Scholar 

  • Kato, M., and Launder, B. E., (1993). The modelling of turbulent flow around stationary and vibrating square cylinders. In: 9th Symposium on Turbulent Shear Flows, pp. 10–14.

    Google Scholar 

  • Kim J. J., and Baik J.J. (2004). A numerical study of the effects of ambient wind direction on flow and dispersion in urban street canyons using the RNG k-( turbulence model. Atmospheric Environment 38(19): 3039–3048.

    Google Scholar 

  • Koeltzsch, K. (2000). The height dependence of the turbulent Schmidt number within the boundary layer. Atmospheric Environment 34: 1147–1151.

    Google Scholar 

  • Launder, B. E., Reece, G. J., and Rodi, W. (1975). Progress in the development of a Reynolds-stress turbulence closure. Journal of Fluid Mechanics 68(3): 537–566.

    MATH  Google Scholar 

  • Launder, B. E. (1989). Second-moment closure and its use in modeling turbulent industrial flows. International Journal for Numerical Methods in Fluids 9: 963–985.

    MathSciNet  Google Scholar 

  • Launder, B. E, and Spalding, D.B. (1974). The numerical computation of turbulent flows. Computer Methods in Applied Mechanics and Engineering 3:269–89.

    MATH  Google Scholar 

  • Lawson, T. V., and Penwarden, A.D. (1975). The effects of wind on people in the vicinity of buildings. 4 th Int. Conf. Wind Effects on Buildings and Structures, Heathrow.

    Google Scholar 

  • Lazure, L., Saathoff, P., and Stathopoulos, T. (2002). Air intake contamination by building exhausts: tracer gas investigation of atmospheric dispersion models in the urban environment. Journal of the Air Waste Management Association 52: 160–166.

    Google Scholar 

  • Leitl, B. M., Kastner-Klein, P., Rau, M., and Meroney, R.N. (1997). Concentration and flow distributions in the vicinity of U-shaped buildings: wind-tunnel and computational data. Journal of Wind Engineering and Industrial Aerodynamics 67&68: 745–755.

    Google Scholar 

  • Leitl, B. M., and Meroney, R. (1997). Car exhaust dispersion in a street canyon. Numerical critique of a wind tunnel experiment. Journal of Wind Engineering and Industrial Aerodynamics 67–68: 293–304.

    Google Scholar 

  • Leonard, B. P. (1979). A stable and accurate convection modelling procedure based on quadratic upstream interpolation. Computer Methods in Applied Mechanics and Engineering 19: 59–98.

    MATH  Google Scholar 

  • Li, W., and Meroney, R.N. (1983). Gas dispersion near a cubical model building. Part I. Mean concentration measurements. Journal of Wind Engineering and Industrial Aerodynamics 12(1): 15–33.

    Google Scholar 

  • Li, Y., and Stathopoulos, T. (1997). Numerical evaluation of wind-induced dispersion of pollutants around a building. Journal of Wind Engineering and Industrial Aerodynamics 67&68: 757–766.

    Google Scholar 

  • Livesey, F., Inculet, D., Isyumov, N., and Davenport, A.G. (1990). A Scour technique for evaluation of pedestrian winds, Journal of Wind Engineering and Industrial Aerodynamics 36: 779–789.

    Google Scholar 

  • Löhner, R., Cebral, J. R., Camelli, F. E., Appanaboyina, S., Baum, J. D., Mestreau, E. L., and Soto, O.A. (2008). Adaptive embedded and immersed unstructured grid techniques. Computer Methods in Applied Mechanics and Engineering 197(25–28): 2173–2197.

    MathSciNet  MATH  Google Scholar 

  • Menter, F. (1997). Eddy viscosity transport equations and their relation to the k-( model. Journal of Fluids Engineering 119: 876–884.

    Google Scholar 

  • Menter, F., Hemstrom, B., Henrikkson, M., Karlsson, R., Latrobe, A., Martin, A., Muhlbauer, P., Scheuerer, M., Smith, B., Takacs, T., and Willemsen, S. (2002). CFD Best Practice Guidelines for CFD Code Validation for Reactor-Safety Applications, Report EVOLECORA-D01, Contract No. FIKS-CT-2001-00154.

    Google Scholar 

  • Meroney, R. N., Leitl, B. M., Rafailidis, S., and Schatzmann, M. (1999). Wind-tunnel and numerical modeling of flow and dispersion about several building shapes. Journal of Wind Engineering and Industrial Aerodynamics 81: 333–345.

    Google Scholar 

  • Miles, S. D., and Westbury, P. S. (2002). Assessing CFD as a tool for practical wind engineering applications. Proc. Fifth UK Conf. Wind Engineering, September.

    Google Scholar 

  • Mittal, R., and Iaccarino, G. (2005). Immersed boundary methods. Annual Review of Fluid Mechanics 37: 239–261.

    MathSciNet  Google Scholar 

  • Murakami, S., Mochida, A., and Hibi, K. (1987). Three-dimensional numerical simulation of airflow around a cubic model by means of large eddy simulation. Journal of Wind Engineering and Industrial Aerodynamics 25:291–305.

    Google Scholar 

  • Murakami, S., and Mochida, A. (1988). 3-D numerical simulation of airflow around a cubic model by means of the k-ε model. Journal of Wind Engineering and Industrial Aerodynamics 31(2—3): 283–303.

    Google Scholar 

  • Murakami, S., and Mochida, A. (1989). Three-dimensional numerical simulation of turbulent flow around buildings using the k-ε turbulence model. Building and Environment 24(1): 51–64.

    Google Scholar 

  • Murakami, S. (1990a). Computational wind engineering. Journal of Wind Engineering and Industrial Aerodynamics 36(1): 517–538.

    Google Scholar 

  • Murakami, S. (1990b). Numerical simulation of turbulent flowfield around cubic model: current status and applications of k-e model and LES. Journal of Wind Engineering and Industrial Aerodynamics 33(1–2): 139–152.

    Google Scholar 

  • Murakami, S., Mochida, A., and Hayashi, Y. (1990). Examining the k-ε model by means of a wind tunnel test and large-eddy simulation of the turbulence structure around a cube. Journal of Wind Engineering and Industrial Aerodynamics 35: 87–100.

    Google Scholar 

  • Murakami, S., Mochida, A., Hayashi, Y., and Sakamoto, S. (1992). Numerical study on velocity-pressure field and wind forces for bluff bodies by k-ε, ASM and LES. Journal of Wind Engineering and Industrial Aerodynamics 44(1–3): 2841–2852

    Google Scholar 

  • Murakami, S. (1993). Comparison of various turbulence models applied to a bluff body. Journal of Wind Engineering and Industrial Aerodynamics 46 & 47: 21–36.

    Google Scholar 

  • Mochida, A., Murakami, S., Shoji, M., and Ishida, Y. (1993). Numerical Simulation of flow field around Texas Tech Building by Large Eddy Simulation. Journal of Wind Engineering and Industrial Aerodynamics 46–47: 455–460.

    Google Scholar 

  • Mochida, A., Tominaga, Y., Murakami, S., Yoshie, R., Ishihara, T., and Ooka, R. (2002). 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. Wind and Structures 5 (2–4): 227–244.

    Google Scholar 

  • Mochida, A., and Lun, I. Y. F. (2008). Prediction of wind environment and thermal comfort at pedestrian level in urban area. Journal of Wind Engineering and Industrial Aerodynamics 96(10–11): 1498–1527.

    Google Scholar 

  • NASA 2004. www.grc.nasa.gov/WWW/wind/valid/tutorial/glossary.html#verification Retrieved from the internet on March 6, 2004.

    Google Scholar 

  • NEN. (2006). Wind comfort and wind danger in the built environment, NEN 8100 (in Dutch) Dutch Standard.

    Google Scholar 

  • Norton, T., Grant, J., Fallon, R., and Sun, D. W., (2010). Assessing the ventilation performance of a naturally ventilated livestock building with different eave opening conditions. Computers and Electronics in Agriculture 71(1): 7–21.

    Google Scholar 

  • Oberkampf, W. L., Trucano, T. G., and Hirsch, C. (2004). Verification, validation, and predictive capability in computational engineering and physics. Applied Mechanics Reviews 57(5): 345–384.

    Google Scholar 

  • Pasquill, F., and Smith, F. B. (1983). Atmospheric Diffusion, 3rd Ed. Ellis Horwood Ltd., Chichester, England.

    Google Scholar 

  • Paterson, D. A., and Apelt C. J. (1986). Computation of wind flows over three-dimensional buildings. Journal of Wind Engineering and Industrial Aerodynamics 24: 192–213.

    Google Scholar 

  • Paterson, D. A., and Apelt, C. J. (1989). Simulation of wind flow around three-dimensional buildings. Building and Environment 24: 39–50.

    Google Scholar 

  • Paterson, D. A., and Apelt, C.J. (1990). Simulation of flow past a cube in a turbulent boundary layer. Journal of Wind Engineering and Industrial Aerodynamics 35: 149–176.

    Google Scholar 

  • Patnaik, G., Boris, J. P., Young, T. R., and Grinstein, F. F. (2007). Large scale urban contaminant transport simulations with MILES. Journal of Fluids Engineering 129(12): 1524–1532.

    Google Scholar 

  • Richards, P. J., and Hoxey, R. P. (1993). Appropriate boundary conditions for computational wind engineering models using the k-É› turbulence model. Journal of Wind Engineering and Industrial Aerodynamics 46&47: 145–153.

    Google Scholar 

  • Richards, P. J., Mallison, G. D., McMillan, D., and Li, Y.F. (2002). Pedestrian level wind speeds in downtown Auckland. Wind and Structures 5(2–4): 151–164.

    Google Scholar 

  • Richards, P. J. Hoxey, R. P., Connell, B. D., and Lander, D. P. (2007). Wind-tunnel modelling of the Silsoe Cube, Journal of Wind Engineering and Industrial Aerodynamics 95(9–11): 1384–1399.

    Google Scholar 

  • Saathoff, P. J., Stathopoulos, T., and Dobrescu, M., (1995). Effects of model scale in estimating pollutant dispersion near buildings. Journal of Wind Engineering and Industrial Aerodynamics 54&55: 549–559.

    Google Scholar 

  • Saathoff, P., Stathopoulos, T., and Wu, H. (1998). The influence of freestream turbulence on nearfield dilution of exhaust from building vents. Journal of Wind Engineering and Industrial Aerodynamics 77–78: 741–752.

    Google Scholar 

  • Sasaki, R., Uematsu, Y., Yamada, M., and Saeki, H. (1997). Application of infrared thermography and a knowledge-based system to the evaluation of the pedestrian-level wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics 67–68: 873–883.

    Google Scholar 

  • Scaperdas, A., and Gilham, S. (2004). Thematic Area 4: Best practice advice for civil construction and HVAC, The QNET-CFD Network Newsletter 2(4): 28–33.

    Google Scholar 

  • Selvam, R. P. (1997). Numerical simulation of pollutant dispersion around a building using FEM. Journal of Wind Engineering and Industrial Aerodynamics 67&68: 805–814.

    Google Scholar 

  • Shih, T. H., Liou, W. W., Shabbir, A., and Zhu, J. (1995). A new k-e eddy-viscosity model for high Reynolds number turbulent flows: model development and validation. Computers & Fluids 24(3): 227–238.

    MATH  Google Scholar 

  • Smeaton, W. H., Lepage, M. F., and Schuyler, G.D. (1991). Using wind tunnel data and other criteria to judge acceptability of exhaust stacks. ASHRAE Transactions 97(2): 583–588.

    Google Scholar 

  • Spalart, P., and Allmaras, S. (1992). A one-equation turbulence model for aerodynamic flows. Technical Report AIAA-92-0439, American Institute of Aeronautics and Astronautics.

    Google Scholar 

  • Spalart, P., Jou, W. H., Strelets, M., and Allmaras, S. (1997). Comments on the feasibility of LES for wings and on the hybrid RANS/LES approach, Advances in DNS/LES, 1st AFOSR Int. Conf. on DNS/LES, Greden Press, 1997.

    Google Scholar 

  • Stathopoulos, T., and Baskaran, A. (1990). Boundary treatment for the computation of 3D turbulent conditions around buildings. Journal of Wind Engineering and Industrial Aerodynamics 35: 177–200.

    Google Scholar 

  • Stathopoulos, T., and Baskaran, A. (1996). Computer simulation of wind environmental conditions around buildings. Engineering Structures 18(11): 876–885.

    Google Scholar 

  • Stathopoulos, T., Lazure, L., Saathoff, P., and Wei, X. (2002). Dilution of exhaust from a rooftop stack on a cubical building in an urban environment. Atmospheric Environment 36: 4577–4591.

    Google Scholar 

  • Stathopoulos, T., Lazure, L., Saathoff, P., and Gupta, A. (2004). The effect of stack height, stack location and rooftop structures on air intake contamination: a laboratory and full-scale study, Report R-392, IRSST, Quebec.

    Google Scholar 

  • Takakura, S., Suyama, Y., and Aoyama, M. (1993). Numerical simulation of flowfield around buildings in an urban area. Journal of Wind Engineering and Industrial Aerodynamics 46–47: 765–771.

    Google Scholar 

  • Tamura, T., Nozawa, K., and Kondo, K. (2008). AIJ guide for numerical prediction of wind loads on buildings. Journal of Wind Engineering and Industrial Aerodynamics 96(10–11): 1974–1984.

    Google Scholar 

  • Tamura, T. (2008). Towards practical use of LES in wind engineering. Journal of Wind Engineering and Industrial Aerodynamics 96(10–11): 1451–1471.

    Google Scholar 

  • Tang, W., and Davidson, C. I. (2004). Erosion of limestone building surfaces caused by wind-driven rain. 2. Numerical modelling. Atmospheric Environment 38(33): 5601–5609.

    Google Scholar 

  • Tominaga, Y., Murakami, S., and Mochida, A. (1997). CFD prediction of gaseous diffusion around a cubic model using a dynamic mixed SGS model based on composite grid technique. Journal of Wind Engineering and Industrial Aerodynamics 67–68: 827–841.

    Google Scholar 

  • Tominaga, Y., Mochida, A., Yoshie, R., Kataoka, H., Nozu, T., Yoshikawa, M., and Shirasawa, T. (2008a). AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics 96(10–11): 1749–1761.

    Google Scholar 

  • Tominaga, Y., Mochida, A., Murakami, S., and Sawaki, S. (2008b). Comparison of various revised k- models and LES applied to flow around a high-rise building model with 1:1:2 shape placed within the surface boundary layer. Journal of Wind Engineering and Industrial Aerodynamics 96(4): 389–411.

    Google Scholar 

  • Tominaga, Y., and Stathopoulos, T. (2007a). Numerical simulation of dispersion around an isolated cubic building — influence of turbulence models and turbulent Schmidt number. Proc. 12 th Int. Conf. Wind Engineering, Cairns, Australia.

    Google Scholar 

  • Tominaga, Y., and Stathopoulos, T. (2007b). Turbulent Schmidt numbers for CFD analysis with various types of flowfield. Atmospheric Environment 41(37): 8091–8099.

    Google Scholar 

  • Tominaga, Y., and Stathopoulos, T. (2008). Numerical simulation of plume dispersion around an isolated cubic buildings: comparisons between RANS and LES computations. BBAA VI International Colloquium on: Bluff Bodies Aerodynamics & Applications, Milano, Italy.

    Google Scholar 

  • Tominaga, Y., and Stathopoulos, T. (2009). Numerical simulation of dispersion around an isolated cubic building: Comparison of various types of k-É› models. Atmospheric Environment 43(20): 3200–3210.

    Google Scholar 

  • Turner, D.B. (1970). Workbook of atmospheric dispersion estimates. Environmental Protection Agency, Environmental Health Series Air Pollution, 84.

    Google Scholar 

  • van Hooff, T., and Blocken, B. (2010). Coupled urban wind flow and indoor natural ventilation modelling on a high-resolution grid: A case study for the Amsterdam ArenA stadium. Environmental Modelling & Software 25(1): 51–65.

    Google Scholar 

  • Vasilic-Melling, D. (1977). Three dimensional turbulent flow past rectangular bluff bodies, Ph.D. Thesis, Imperial College of Science and Technology, London.

    Google Scholar 

  • Wang, X. (2006). Numerical simulation of wind-induced dispersion of emissions from rooftop stacks. M.A.Sc Thesis, Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Canada.

    Google Scholar 

  • Westbury, P. S., Miles, S. D., and Stathopoulos, T. (2002). CFD application on the evaluation of pedestrian-level winds. Workshop on Impact of Wind and Storm on City Life and Built Environment, Cost Action C14, CSTB, June 3–4, Nantes, France.

    Google Scholar 

  • Wilcox, D. C. (2004). Turbulence modelling for CFD, 2nd Ed., DCW Industries, Inc.

    Google Scholar 

  • Willemsen, E., and Wisse, J.A. (2007). Design for wind comfort in The Netherlands: Procedures, criteria and open research issues. Journal of Wind Engineering and Industrial Aerodynamics 95(9–11): 1541–1550.

    Google Scholar 

  • Wilson, D. J., and Lamb, B. (1994). Dispersion of exhaust gases from roof level stacks and vents on a laboratory building. Atmospheric Environment 28(19): 3099–3111.

    Google Scholar 

  • Wise, A. F. E. (1970). Wind effects due to groups of buildings. Royal Society Symposium Architectural Aerodynamics, London.

    Google Scholar 

  • Wu, H. Q., and Stathopoulos, T. (1997). Application of infrared thermography for pedestrian wind evaluation, Journal of Engineering Mechanics — ASCE 123(10): 978–985.

    Google Scholar 

  • Xie, X. M., Liu, C. H., and Leung, D.Y.C. (2007). Impact of building facades and ground heating on wind flow and pollutant transport in street canyons. Atmospheric Environment 41(39): 9030–9049.

    Google Scholar 

  • Yakhot, V., and Orszag, S.A. (1986). Renormalization group analysis of turbulence. Journal of Scientific Computing 1(1): 3–51.

    MathSciNet  MATH  Google Scholar 

  • Yamada, M., Uematsu, Y., and Sasaki, R. (1996). A visual technique for the evaluation of the pedestrian-level wind environment around buildings by using infrared thermography. Journal of Wind Engineering and Industrial Aerodynamics 65(1–3): 261–271.

    Google Scholar 

  • Yang, Y., Gu, M., Chen, S., and Jin, X. (2009). New inflow boundary conditions for modelling the neutral equilibrium atmospheric boundary layer in computational wind engineering. Journal of Wind Engineering and Industrial Aerodynamics 97(2): 88–95.

    Google Scholar 

  • Yoshie, R., Mochida, A., Tominaga, Y., Kataoka, H., Harimoto, K., Nozu, T., and Shirasawa, T. (2007). Cooperative project for CFD prediction of pedestrian wind environment in the Architectural Institute of Japan. Journal of Wind Engineering and Industrial Aerodynamics 95(9–11): 1551–1578.

    Google Scholar 

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Authors and Affiliations

  1. Building Physics and Systems, Eindhoven University of Technology, Eindhoven, the Netherlands

    Bert Blocken

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  1. Bert Blocken
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  1. Aristotle University of Thessaloniki, Greece

    Charalambos C. Baniotopoulos

  2. University of Florence, Firenze, Italy

    Claudio Borri

  3. Concordia University, Montreal, Canada

    Theodore Stathopoulos

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Blocken, B. (2011). Computational Wind Engineering: Theory and Applications. In: Baniotopoulos, C.C., Borri, C., Stathopoulos, T. (eds) Environmental Wind Engineering and Design of Wind Energy Structures. CISM Courses and Lectures, vol 531. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0953-3_3

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  • DOI: https://doi.org/10.1007/978-3-7091-0953-3_3

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