Parametric analysis of influence of courtyard microclimate on diminution of convective heat transfer through building’s envelope

  • Aysan ForouzandehEmail author
Research Article Building Thermal, Lighting, and Acoustics Modeling


The growing trend of using glass facade and the low thermal resistance of this material, has increased the importance of environmental loads on heat loss through the building’s envelope. In this regards, creating microclimate spaces between buildings acts as a shelter against wind and sun, and thus convective and radiative heat transfer. In this research, computational fluid dynamics microclimate software ENVI-met has been used to consider the relationship between optimum courtyard forms in decreasing the convective heat transfer coefficient (CHTC). A simple linear correlation was used to calculate the hc (W·m−2·K−1) based on the wind speed (WS) near the facade within the courtyard. The outcome of the research reveals that the microclimate of the courtyard, particularly for the strong ambient winds (U10), can diminish the CHTC in comparison with exposed surfaces. Moreover, among various design alternatives, the aspect ratio has a significant impact on WS and CHTC. It was observed that, for U10 = 2.3 (m·s−1), as aspect ratio (H/W) increases from 0.67 to 3.67, the average surface WS, up to the middle floor, on the windward and leeward facade inside the courtyard, located in Hanover, reduces by about 75%. This suggests that an appropriate selection of the courtyard geometry will help passively reduce cooling load and let designers use less thickly insulated walls.


courtyard microclimate holistic microclimate simulation wind speed near the facade exterior convective heat transfer coefficient 


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  1. Al-Hafith O, Satish BK, Bradbury S, de Wilde P (2017). The Impact of Courtyard parameters on its shading level An experimental study in Baghdad, Iraq. Energy Procedia, 134: 99–109.CrossRefGoogle Scholar
  2. Allegrini J, Dorer V, Defraeye T, Carmeliet J (2012). An adaptive temperature wall function for mixed convective flows at exterior surfaces of buildings in street canyons. Building and Environment, 49: 55–66.CrossRefGoogle Scholar
  3. Almhafdy A, Ibrahim N, Ahmad SS, Yahya J (2015). Thermal performance analysis of courtyards in a hot humid climate using computational fluid dynamics CFD method. Procedia — Social and Behavioral Sciences, 170: 474–483.CrossRefGoogle Scholar
  4. Alvarez S, Sanchez F, Molina JL (1998). Air flow pattern at courtyards. In: Proceedings of PLEA’98, Environmentally Friendly Cities, Lisbon, Portugal, pp. 503–506.Google Scholar
  5. Assimakopoulos VD, ApSimon HM, Moussiopoulos N (2003). A numerical study of atmospheric pollutant dispersion in different two-dimensional street canyon configurations. Atmospheric Environment, 37: 4037–4049.CrossRefGoogle Scholar
  6. Azizi MM, Javanmardi K (2017). The effects of urban block forms on the patterns of wind and natural ventilation. Procedia Engineering, 180: 541–549.CrossRefGoogle Scholar
  7. Badas MG, Ferrari S, Garau M, Querzoli G (2017). On the effect of gable roof on natural ventilation in two-dimensional urban canyons. Journal of Wind Engineering and Industrial Aerodynamics, 162: 24–34.CrossRefGoogle Scholar
  8. Baldwin B, Lomax H (1978). Thin-layer approximation and algebraic model for separated turbulentflows. In: Proceedings of the 16th Aerospace Sciences Meeting. American Institute of Aeronautics and Astronautics.Google Scholar
  9. Battista G (2017). Analysis of convective heat transfer at building facades in street canyons. Energy Procedia, 113: 166–173.CrossRefGoogle Scholar
  10. Berkovic S, Yezioro A, Bitan A (2012). Study of thermal comfort in courtyards in a hot arid climate. Solar Energy, 86: 1173–1186.CrossRefGoogle Scholar
  11. Blocken B, Defraeye T, Derome D, Carmeliet J (2009). High-resolution CFD simulations for forced convective heat transfer coefficients at the facade of a low-rise building. Building and Environment, 44: 2396–2412.CrossRefGoogle Scholar
  12. Bornstein RD, Johnson DS (1977). Urban-rural wind velocity differences. Atmospheric Environment, 11: 597–604.CrossRefGoogle Scholar
  13. Bouyer J, Inard C, Musy M (2011). Microclimatic coupling as a solution to improve building energy simulation in an urban context. Energy and Buildings, 43: 1549–1559.CrossRefGoogle Scholar
  14. Bruse M (1999). Die Auswirkungen kleinskaliger Umweltgestaltung auf das Mikroklima. PhD Thesis, Ruhr-University Bochum, Germany.Google Scholar
  15. Bruse M (2004). ENVI-met Documentation.Google Scholar
  16. Bruse M (2016). ENVI_met. A holistic microclimate model. Available at Accessed 1 Sept 2016.
  17. Cermak JE (1996). Thermal effects on flow and dispersion over urban areas: Capabilities for prediction by physical modeling. Atmospheric Environment, 30: 393–401.CrossRefGoogle Scholar
  18. Chew LW, Nazarian N, Norford L (2017). Pedestrian-level urban wind flow enhancement with wind catchers. Atmosphere, 8: 159.CrossRefGoogle Scholar
  19. Colucci C, Mauri L, Grignaffini S, Romagna M, Cedola L, Kanna R (2017). Influence of the facades convective heat transfer coefficients on the thermal energy demand for an urban street canyon building. Energy Procedia, 126: 10–17.CrossRefGoogle Scholar
  20. Davies MG (2004). Building Heat Transfer. Chichester, UK: John Wiley & Sons.CrossRefGoogle Scholar
  21. de la Flor FS, Domínguez SA (2004). Modelling microclimate in urban environments and assessing its influence on the performance of surrounding buildings. Energy and Buildings, 36: 403–413.CrossRefGoogle Scholar
  22. De Ridder K, Acero JA, Lauwaet D, Lefebvre W, Maiheu B, Mendizabal M (2014). WP 4: Climate change scenarios for urban agglomerations D4. 1: Validation of agglomeration-scale climate projections. RAMSES — Science for cities in transition.Google Scholar
  23. Defraeye T, Blocken B, Carmeliet J (2010). CFD analysis of convective heat transfer at the surfaces of a cube immersed in a turbulent boundary layer. International Journal of Heat and Mass Transfer, 53: 297–308.CrossRefzbMATHGoogle Scholar
  24. Defraeye T, Blocken B, Carmeliet J (2011). Convective heat transfer coefficients for exterior building surfaces: Existing correlations and CFD modelling. Energy Conversion and Management, 52: 512–522.CrossRefGoogle Scholar
  25. Defraeye T, Carmeliet J (2010). A methodology to assess the influence of local wind conditions and building orientation on the convective heat transfer at building surfaces. Environmental Modelling & Software, 25: 1813–1824.CrossRefGoogle Scholar
  26. DIN (2003). DIN 4108-2. Berlin: Deutsches Institut für Normung e. V.Google Scholar
  27. DIN (2015). DIN EN ISO 6946. Berlin.Google Scholar
  28. Doty S, Turner WC (2013). Energy Management Handbook, 8th edn. The Fairmont Press.Google Scholar
  29. Dumitrescu L, Baran I, Pescaru RA (2017). The influence of thermal bridges in the process of buildings thermal rehabilitation. Procedia Engineering, 181: 682–689.CrossRefGoogle Scholar
  30. Eliasson I, Offerle B, Grimmond CSB, Lindqvist S (2006). Wind fields and turbulence statistics in an urban street canyon. Atmospheric Environment, 40: 1–16.CrossRefGoogle Scholar
  31. Emmel MG, Abadie MO, Mendes N (2007). New external convective heat transfer coefficient correlations for isolated low-rise buildings. Energy and Buildings, 39: 335–342.CrossRefGoogle Scholar
  32. Erell E, Pearlmutter D, Williamson T (2012). urban microclimate: Designing the spaces between buildings. Abingdon UK: Taylor & Francis.CrossRefGoogle Scholar
  33. Forouzandeh A (2018). Numerical modeling validation for the microclimate thermal condition of semi-closed courtyard spaces between buildings. Sustainable Cities and Society, 36: 327–345.CrossRefGoogle Scholar
  34. Franke J, Hellsten A, Schlünzen H, Carissimo B (2007). Best Practice Guideline for the CFD Simulation of Flows in the Urban Environment. Brussel, Belgium.Google Scholar
  35. Ghaffarianhoseini A, Berardi U, Ghaffarianhoseini A (2015). Thermal performance characteristics of unshaded courtyards in hot and humid climates. Building and Environment, 87: 154–168.CrossRefGoogle Scholar
  36. Grobman YJ, Elimelech Y (2016). Microclimate on building envelopes: testing geometry manipulations as an approach for increasing building envelopes’ thermal performance. Architectural Science Review, 59: 269–278.CrossRefGoogle Scholar
  37. Hagishima A, Tanimoto J (2003). Field measurements for estimating the convective heat transfer coefficient at building surfaces. Building and Environment, 38: 873–881.CrossRefGoogle Scholar
  38. Hagishima A, Tanimoto J, Narita KI (2005). Intercomparisons of experimental convective heat transfer coefficients and mass transfer coefficients of urban surfaces. Boundary-Layer Meteorology, 117: 551–576.CrossRefGoogle Scholar
  39. Hall DJ, Walker S, Spanton AM (1999). Dispersion from courtyards and other enclosed spaces. Atmospheric Environment, 33: 1187–1203.CrossRefGoogle Scholar
  40. He Y, Monahan AH, McFarlane NA (2013). Diurnal variations of land surface wind speed probability distributions under clear-sky and low-cloud conditions. Geophysical Research Letters, 40: 3308–3314.CrossRefGoogle Scholar
  41. Hu Z-X, Cui G-X, Zhang Z-S (2018). Numerical study of mixed convective heat transfer coefficients for building cluster. Journal of Wind Engineering and Industrial Aerodynamics, 172: 170–180.CrossRefGoogle Scholar
  42. Huttner S (2012). Further development and application of the 3D microclimate simulation ENVI-met. PhD Thesis, Johannes Gutenberg University Mainz, Germany.Google Scholar
  43. Ince NZ, Launder BE (1995). Three-dimensional and heat-loss effects on turbulent flow in a nominally two-dimensional cavity. International Journal of Heat and Fluid Flow, 16: 171–177.CrossRefGoogle Scholar
  44. IMUK (2016). Weather & Climate > Measurement Data. Available at Accessed 1 Jan 2017.
  45. Kottek M, Grieser J, Beck C, Rudolf B, Rubel F (2006). World Map of the Köppen-Geiger climate classification updated. Meteorologische Zeitschrift, 15: 259–263.CrossRefGoogle Scholar
  46. Krüger EL, Minella FO, Rasia F (2011). Impact of urban geometry on outdoor thermal comfort and air quality from field measurements in Curitiba, Brazil. Building and Environment, 46: 621–634.CrossRefGoogle Scholar
  47. Launder BE, Spalding DB (1974). The numerical computation of turbulent flows. Computer Methods in Applied Mechanics and Engineering, 3: 269–289.CrossRefzbMATHGoogle Scholar
  48. Liu J, Chen JM, Black TA, Novak MD (1996). E-ε modelling of turbulent air flow downwind of a model forest edge. Boundary-Layer Meteorology, 77: 21–44.CrossRefGoogle Scholar
  49. Liu Y, Harris DJ (2007). Full-scale measurements of convective coefficient on external surface of a low-rise building in sheltered conditions. Building and Environment, 42: 2718–2736.CrossRefGoogle Scholar
  50. Liu J, Heidarinejad M, Gracik S, Srebric J (2015). The impact of exterior surface convective heat transfer coefficients on the building energy consumption in urban neighborhoods with different plan area densities. Energy and Buildings, 86: 449–463.CrossRefGoogle Scholar
  51. Long L, Ye H (2016). The roles of thermal insulation and heat storage in the energy performance of the wall materials: A simulation study. Scientific Reports, 6: 24181.CrossRefGoogle Scholar
  52. Louka P, Belcher SE, Harrison RG (1998). Modified street canyon flow. Journal of Wind Engineering and Industrial Aerodynamics, 74–76: 485–493.CrossRefGoogle Scholar
  53. Louka P, Belcher SE, Harrison RG (2000). Coupling between air flow in streets and the well-developed boundary layer aloft. Atmospheric Environment, 34: 2613–2621.CrossRefGoogle Scholar
  54. Loukaidou K, Michopoulos A, Zachariadis T (2017). Nearly-zero energy buildings: cost-optimal analysis of building envelope characteristics. Procedia Environmental Sciences, 38: 20–27.CrossRefGoogle Scholar
  55. Loveday DL, Taki AH (1998). Outside surface resistance: Proposed new value for building design. Building Services Engineering Research and Technology, 19: 23–29.CrossRefGoogle Scholar
  56. Mauree D, Coccolo S, Kaempf J, Scartezzini J-L (2017). Multi-scale modelling to evaluate building energy consumption at the neighbourhood scale. PLoS ONE, 12(9): e0183437.CrossRefGoogle Scholar
  57. Mellor GL, Yamada T (1974). A hierarchy of turbulence closure models for planetary boundary layers. Journal of the Atmospheric Sciences, 31: 1791–1806.CrossRefGoogle Scholar
  58. Micallef D, Buhagiar V, Borg SP (2016). Cross-ventilation of a room in a courtyard building. Energy and Buildings, 133: 658–669.CrossRefGoogle Scholar
  59. Mirsadeghi M, Cóstola D, Blocken B, Hensen JLM (2013). Review of external convective heat transfer coefficient models in building energy simulation programs: Implementation and uncertainty. Applied Thermal Engineering, 56: 134–151.CrossRefGoogle Scholar
  60. Montavon M (2010). Optimisation of urban form by the evaluation of the solar potentia. PhD Thesis, EPFL, switzerland.Google Scholar
  61. Montazeri H, Blocken B (2017). New generalized expressions for forced convective heat transfer coefficients at building facades and roofs. Building and Environment, 119: 153–168.CrossRefGoogle Scholar
  62. Moonen P, Dorer V, Carmeliet J (2011). Evaluation of the ventilation potential of courtyards and urban street canyons using RANS and LES. Journal of Wind Engineering and Industrial Aerodynamics, 99: 414–423.CrossRefGoogle Scholar
  63. Muhaisen AS, Gadi MB (2006). Effect of courtyard proportions on solar heat gain and energy requirement in the temperate climate of Rome. Building and Environment, 41: 245–253.CrossRefGoogle Scholar
  64. Murakami S (1990). Computational wind engineering. Journal of Wind Engineering and Industrial Aerodynamics, 36: 517–538.CrossRefGoogle Scholar
  65. Nunez M, Oke TR (1977). The energy balance of an urban canyon. Journal of Applied Meteorology, 16: 11–19.CrossRefGoogle Scholar
  66. Palyvos JA (2008). A survey of wind convection coefficient correlations for building envelope energy systems’ modeling. Applied Thermal Engineering, 28: 801–808.CrossRefGoogle Scholar
  67. Rafailidis S (1997). Influence of building areal density and roof shape on the wind characteristics above a town. Boundary-Layer Meteorology, 85: 255–271.CrossRefGoogle Scholar
  68. Rajapaksha I, Nagai H, Okumiya M (2003). A ventilated courtyard as a passive cooling strategy in the warm humid tropics. Renewable Energy, 28: 1755–1778.CrossRefGoogle Scholar
  69. Rodríguez-Algeciras J, Tablada A, Chaos-Yeras M, de la Paz G, Matzarakis A (2018). Influence of aspect ratio and orientation on large courtyard thermal conditions in the historical centre of Camagüey-Cuba. Renewable Energy, 125: 840–856.CrossRefGoogle Scholar
  70. Rojas JM, Galán-Marín C, Fernández-Nieto ED (2012). Parametric study of thermodynamics in the mediterranean courtyard as a tool for the design of eco-efficient buildings. Energies, 5: 2381–2403.CrossRefGoogle Scholar
  71. Salim SM, Buccolieri R, Chan A, di Sabatino S (2011). Numerical simulation of atmospheric pollutant dispersion in an urban street canyon: Comparison between RANS and LES. Journal of Wind Engineering and Industrial Aerodynamics, 99: 103–113.CrossRefGoogle Scholar
  72. Sanyal P, Dalui SK (2018). Effects of courtyard and opening on a rectangular plan shaped tall building under wind load. International Journal of Advanced Structural Engineering, 10: 169–188.CrossRefGoogle Scholar
  73. Sharples S (1984). Full-scale measurements of convective energy losses from exterior building surfaces. Building and Environment, 19: 31–39.CrossRefGoogle Scholar
  74. Simon H (2016). Modeling urban microclimate: Development, implementation and evaluation of new and improved calculation methods for the urban microclimate model ENVI-met. PhD Thesis, Johannes Gutenberg University Mainz, Germany.Google Scholar
  75. Sini JF, Anquetin S, Mestayer PG (1996). Pollutant dispersion and thermal effects in urban street canyons. Atmospheric Environment, 30: 2659–2677.CrossRefGoogle Scholar
  76. Soflaei F, Shokouhian M, Abraveshdar H, Alipour A (2017). The impact of courtyard design variants on shading performance in hot-arid climates of Iran. Energy and Buildings, 143: 71–83.CrossRefGoogle Scholar
  77. Srivanit M, Hokao K (2013). Evaluating the cooling effects of greening for improving the outdoor thermal environment at an institutional campus in the summer. Building and Environment, 66: 158–172.CrossRefGoogle Scholar
  78. Straube J (2011). BSD-011: Thermal Control in Buildings. Building Science Corporation. Available at
  79. Tablada A, Blocken B, Carmeliet J, Troyer FDE, Verschure H (2005). Geometry of building’s courtyards to favour natural ventilation: comparison between wind tunnel experiment and numerical simulation. In: Proceedings of World Sustainable Building Conference, Tokyo, Japan.Google Scholar
  80. Taleghani M, Tenpierik M, van den Dobbelsteen A, Sailor DJ (2014). Heat in courtyards: A validated and calibrated parametric study of heat mitigation strategies for urban courtyards in the Netherlands. Solar Energy, 103: 108–124.CrossRefGoogle Scholar
  81. TERI (2004). Sustainable Building — Design Manual: Sustainable Building Design Practices. New Delhi, India: Energy and Resources Institute.Google Scholar
  82. Terjung WH, O’Rourke PA (1980). Simulating the causal elements of urban heat islands. Boundary-Layer Meteorology, 19: 93–118.CrossRefGoogle Scholar
  83. Tominaga Y, Mochida A, Yoshie R, Kataoka H, Nozu T, Yoshikawa M, Shirasawa T (2008). AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics, 96: 1749–1761.CrossRefGoogle Scholar
  84. Toparlar Y, Blocken B, Maiheu B, van Heijst GJF (2017). A review on the CFD analysis of urban microclimate. Renewable and Sustainable Energy Reviews, 80: 1613–1640.CrossRefGoogle Scholar
  85. Toudert FA (2005). Dependence of Outdoor Thermal Comfort on Street Design in Hot and Dry Climate. Berichte des Meteorologischen Institutes der Universität Freibur, Nr. 15.Google Scholar
  86. Wang F, Liu Y (2002). Thermal environment of the courtyard style cave dwelling in winter. Energy and Buildings, 34: 985–1001.CrossRefGoogle Scholar
  87. Wilson JD (1988). A second-order closure model for flow through vegetation. Boundary-Layer Meteorology, 42: 371–392.MathSciNetCrossRefGoogle Scholar
  88. Wong NH, Feriadi H, Tham KW, Sekhar C, Cheong KW (2000). Natural ventilation characteristics of courtyard buildings in Singapore. In: Proceedings of the 7th International Conference on Air Distribution in Rooms (ROOMVENT 2000), pp. 1213–1218.Google Scholar
  89. Xie X, Huang Z, Wang J, Xie Z (2005). The impact of solar radiation and street layout on pollutant dispersion in street canyon. Building and Environment, 40: 201–212.CrossRefGoogle Scholar
  90. Xie J, Cui Y, Liu J, Wang J, Zhang H (2018). Study on convective heat transfer coefficient on vertical external surface of island-reef building based on naphthalene sublimation method. Energy and Buildings, 158: 300–309.CrossRefGoogle Scholar
  91. Yang W, Zhu X, Liu J (2017). Annual experimental research on convective heat transfer coefficient of exterior surface of building external wall. Energy and Buildings, 155: 207–214.CrossRefGoogle Scholar
  92. Yassin MF (2011). Impact of height and shape of building roof on air quality in urban street canyons. Atmospheric Environment, 45: 5220–5229.CrossRefGoogle Scholar
  93. Yoshie R, Mochida A, Tominaga Y, Kataoka H, Harimoto K, Nozu T, 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: 1551–1578.CrossRefGoogle Scholar
  94. Zhang L, Zhang N, Zhao F, Chen Y (2004). A genetic-algorithm-based experimental technique for determining heat transfer coefficient of exterior wall surface. Applied Thermal Engineering, 24: 339–349.CrossRefGoogle Scholar

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© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Civil Engineering and Geodetic Science, Institute for Building PhysicsLeibniz UniversityHannoverGermany

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