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Visualization and metrics analysis of wind environments of typical high-rise residential building cluster configurations using CFD and image processing

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Abstract

In previous wind environmental studies, the consideration of newly built high-rise residential building clusters and comparison of influences of different architectural parameters were relatively primitive. This study aimed to visualize and analyse wind environments of typical high-rise residential building clusters in developing regions. It investigated the influences of unit numbers, transverse distances, longitudinal distances and staggered distances of building clusters. A methodology integrated by parametric modelling, CFD simulation and image processing was developed to evaluate 39 representative scattered configuration cases. The findings can be summarized as follows: (1) For building clusters with relatively large numbers of building units, the increase in longitudinal distance has relatively limited ventilation promotion effect. (2) It was recommended to increase transverse distance for ventilation promotion in building clusters with numerous units. (3) Though an increase in staggered distance can promote wind flow among building units, the total influence and the low-velocity area on the leeward side increase at the same time. (4) Low-velocity area in the wake is directly proportional to the windward projective area of the entire building cluster. The study contributes original knowledge to urban wind environments and benefits sustainable design of high-rise residential communities.

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References

  • Ai ZT, Mak CM, Niu JL (2014) Numerical investigation of wind-induced airflow and interunit dispersion characteristics in multistory residential buildings. Indoor Air 23(5):417–429

    Article  Google Scholar 

  • Aynsley RM (1989) Politics of pedestrian level urban wind control. Build Environ 24(4):291–295

    Article  Google Scholar 

  • Aynsley RM (1999) Shape and flow: the essence of architectural aerodynamics. Archit Sci Rev 42(2):69–74

    Article  Google Scholar 

  • Bentham T, Britter R (2003) Spatially averaged flow within obstacle arrays. Atmos Environ 37(15):2037–2043

    Article  Google Scholar 

  • Bhatnagar A (2006) Environmental cardiology: studying mechanistic links between pollution and heart disease. Circ Res 99(7):692–705

    Article  Google Scholar 

  • Blocken B, Carmeliet J (2004) Pedestrian wind environment around buildings: literature review and practical examples. J Building Phys 280402(107):1097–1963

    Google Scholar 

  • Blocken B, Stathopoulos T, Carmeliet J (2007) CFD simulation of the atmospheric boundary layer: wall function problems. Atmos Environ 41(2):238–252. https://doi.org/10.1016/j.atmosenv.2006.08.019

    Article  Google Scholar 

  • Brown MJ, Lawson RE, Decroix DS, Lee RL (2001) Comparison of centerline velocity measurement obtained around 2D and 3D building array in a wind tunnel. In: Proceeding of the 2001 international symposium on environmental hydraulics

  • Buccolieri R, Sandberg M, Sabatino SD (2010) City breathability and its link to pollutant concentration distribution within urban-like geometries. Atmos Environ 44(2010):1894–1903

    Article  Google Scholar 

  • Chang JC, Hanna SR (2004) Air quality model performance evaluation. Meteorol Atmos Phys 87(1–3):167–196

    Google Scholar 

  • Cheung JOP, Liu CH (2011) CFD simulations of natural ventilation behaviour in high-rise buildings in regular and staggered arrangements at various spacings. Energy Build 43(5):1149–1158

    Article  Google Scholar 

  • Cochran L (2004) Design features to change and/or ameliorate pedestrian wind conditions. In: Structures 2004: building on the past, securing the future, Nashville, Tennessee, ASCE/SEI Structure Congress. p 1–8.

  • Du YX, Mak CM, Tang BS (2018) Effects of building height and porosity on pedestrian level wind comfort in a high-density urban built environment. Build Simul 11(6):1215–1228

    Article  Google Scholar 

  • Efthimiou G, Santiago J, Martilli A (2011) Cost 732 in practice: the must model evaluation exercise

  • Franke J, Hellsten A, Schlünzen H, Carissimo B (2007) Best Practice Guideline for the CFD Simulation of Flows in the Urban Environment. COST Office, Hamburg

    Google Scholar 

  • Freitas JS, Cronemberger J, Soares RM, Amorim CND (2020) Modeling and assessing BIPV envelopes using parametric Rhinoceros plugins Grasshopper and Ladybug. Renew Energy 160:1468–1479. https://doi.org/10.1016/j.renene.2020.05.137

    Article  Google Scholar 

  • Hang J, Li Y (2011) Age of air and air exchange efficiency in high-rise urban areas and its link to pollutant dilution. Atmos Environ 45(31):5572–5585

    Article  Google Scholar 

  • He Y, Schnabel MA, Mei Y (2019) A novel methodology for architectural wind environment study by integrating CFD simulation, multiple parametric tools and evaluation criteria. Build Simul 8:1–17. https://doi.org/10.1007/s12273-019-0591-8

    Article  Google Scholar 

  • He Y, Schnabel MA, Chen R Wang N (2017) A parametric analysis process for daylight illuminance-the influence of perforated facade panels on the indoor illuminance. Janssen P, Raonic P Loh A, Schnabel MA (eds) Protocols, Flows, and Glitches-Proceedings of the 22nd CAADRIA Conference. Xi'an Jiaotong-Liverpool University, Suzhou, China, p 417–424. https://doi.org/10.52842/conf.caadria.2017.417

  • Iqbal QMZ, Chan ALS (2016) Pedestrian level wind environment assessment around group of high-rise cross-shaped buildings: effect of building shape, separation and orientation. Build Environ 101(5):45–63

    Article  Google Scholar 

  • Krishan A, Baker N, Yannas S, Szokolay S (2001) Climate Responsive Architecture: a design handbook for energy efficient buildings. Tata McGraw-Hill Pub. Com Limited, Mumbai

    Google Scholar 

  • Kubota T, Miura M, Tominaga Y, Mochida A (2008) 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. Build Environ 43(10):1699–1708. https://doi.org/10.1016/j.buildenv.2007.10.015

    Article  Google Scholar 

  • Lam CKG, Bremhorst K (1981) A modified form of the k-epsilon model for predicting wall turbulence. ASME J Fluids Eng 1034(3):456–460. https://doi.org/10.1115/1.3240815

    Article  Google Scholar 

  • Launder BE, Spalding DB (1974) The numerical computation of turbulent flows. Comput Methods Appl Mech Eng 3:269–289

    Article  MATH  Google Scholar 

  • Luo W, Dong Z, Qian G, Lu J (2012) Wind tunnel simulation of the three-dimensional airflow patterns behind cuboid obstacles at different angles of wind incidence, and their significance for the formation of sand shadows. Geomorphology 139–140:258–270. https://doi.org/10.1016/j.geomorph.2011.10.027

    Article  Google Scholar 

  • Mavroidis I, Griffiths RF (2001) Local characteristics of atmospheric dispersion within building arrays. Atmos Environ 35(16):2941–2954. https://doi.org/10.1016/s1352-2310(00)00456-8

    Article  Google Scholar 

  • Mei S, Hu J, Liu D, Zhao F, Li Y, Wang Y, Wang H (2017) Wind driven natural ventilation in the idealized building block arrays with multiple urban morphologies and unique package building density. Energy and Build 155:324–338

    Article  Google Scholar 

  • Middel A, Häb K, Brazel AJ, Martin CA, Guhathakurta S (2014) Impact of urban form and design on mid-afternoon microclimate in phoenix local climate zones. Landsc Urban Plan 122:16–28

    Article  Google Scholar 

  • Rhinoceros 3D (2018) 1993–2022 Robert McNeel & Associates. Available from https://www.rhino3d.com/

  • Richardson LF (1911) The approximate arithmetical solution by finite differences of physical problems involving differential equations, with an application to the stresses in a masonry dam. Philos Trans R Soc London Series A Contain Pap Math Phys Character 210:307–357

    MATH  Google Scholar 

  • Richards PJ, Hoxey RP (1993) Appropriate boundary conditions for computational wind engineering models using the k-ε turbulence model. J Wind Eng Indus Aerodyn 46:145–153

    Article  Google Scholar 

  • Roache PJ (1994) Perspective: a method for uniform reporting of grid refinement studies. Trans ASME J Fluids Eng 116(3):405–413

    Article  Google Scholar 

  • Schneider CA, Rasband WS, Eliceiri KW (2012) NIH image to ImageJ: 25 years of image analysis. Nat Methods 9(7):671–675

    Article  Google Scholar 

  • Sobachkin A, Dumnov G (2014) Numerical Basis of CAD-Embedded CFD White Paper

  • Stathopoulos T, Baskaran BA (1996) Computer simulation of wind environmental conditions around buildings. Eng Struct 18(11):876–885

    Article  Google Scholar 

  • Toparlar Y, Blocken B, Maiheu B, Van Heijst GJF (2017) A review on the CFD analysis of urban microclimate. Renew Sustain Energy Rev 80:1613–1640

    Article  Google Scholar 

  • Tsang CW, Kwok KCS, Hitchcock PA (2012) Wind tunnel study of pedestrian level wind environment around tall buildings: effects of building dimensions, separation and podium. Build Environ 49:167–181. https://doi.org/10.1016/j.buildenv.2011.08.014

    Article  Google Scholar 

  • Vinchurkar S, Longest PW (2008) Evaluation of hexahedral, prismatic and hybrid mesh styles for simulating respiratory aerosol dynamics. Comput Fluids 37(3):317–331

    Article  MATH  Google Scholar 

  • Wilks D (2006) Statistical Methods in the Atmospheric Sciences, 2nd edn. Academic Press, Cambridge

    Google Scholar 

  • Zhu CL, Wei HY, Long H (2011) Design Theories of Residential Architecture. China Architecture & Building Press, Beijing

    Google Scholar 

Download references

Acknowledgements

The authors would gratefully acknowledge the financial supports of the Natural Science Foundation of China (NSFC Grant No. 52078264).

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Authors and Affiliations

  1. School of Architecture, Tsinghua University, Beijing, China

    Yi He, Yingnan Chu, Yehao Song, Mengjia Liu, Shaohang Shi, Xinxing Chen & Weizhi Gao

  2. Key Laboratory of Urban-Rural Eco Planning and Green Building, Ministry of Education, Beijing, China

    Yi He, Yingnan Chu, Yehao Song, Mengjia Liu, Shaohang Shi, Xinxing Chen & Weizhi Gao

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  1. Yi He
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  2. Yingnan Chu
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  7. Weizhi Gao
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Correspondence to Yehao Song.

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He, Y., Chu, Y., Song, Y. et al. Visualization and metrics analysis of wind environments of typical high-rise residential building cluster configurations using CFD and image processing. J Vis 26, 1211–1232 (2023). https://doi.org/10.1007/s12650-023-00931-5

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