Skip to main content
Log in

Numerical analysis of convective heat transfer coefficients at the facades of two cubical buildings in tandem and staggered configurations

  • Original Article
  • Published:
Heat and Mass Transfer Aims and scope Submit manuscript

Abstract

Although there are several correlations for estimating the convective heat transfer coefficient (CHTC) of standalone buildings, the heat transfer properties of buildings arranged in tandem, staggered, or disorderly are not fully understood. In the current study, the CHTC of cubical buildings in several tandem and staggered configurations were studied in detail, using RANS numerical simulations. The simulations were performed for 60 different configurations, containing 5 different backward distances (B), 4 lateral distances (L), and 3 incident wind velocities (U10). Simulation results showed that the CHTC of the rear building increased with its distance from the front building when there was no lateral distance between the two buildings. For the staggered configuration, however, the CHTC of the rear building was affected by the wake structure of the front building. The simulation results also showed that the CHTC averaged on all facades of the rear building was proportional to \({U}_{10}^{0.911}\) for all the studied cases. Based on the presented numerical results, a correlation to estimate the average CHTC of the rear building as a function of the backward distance, lateral distance, and wind velocity was developed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Similar content being viewed by others

References

  1. Sabek S, Tiss F, Chouikh R, Guizani A (2018) Numerical investigation of heat and mass transfer in partially blocked membrane based heat exchanger: Effects of obstacles forms. Appl Therm Eng 130:211–220. https://doi.org/10.1016/j.applthermaleng.2017.11.019

    Article  Google Scholar 

  2. Garoosi F, Rashidi MM (2017) Two phase flow simulation of conjugate natural convection of the nanofluid in a partitioned heat exchanger containing several conducting obstacles. Int J Mech Sci 130:282–306. https://doi.org/10.1016/j.ijmecsci.2017.06.020

    Article  Google Scholar 

  3. Popovac M, Hanjalić K (2009) Vortices and heat flux around a wall-mounted cube cooled simultaneously by a jet and a crossflow. Int J Heat Mass Transf 52:4047–4062. https://doi.org/10.1016/j.ijheatmasstransfer.2009.03.042

    Article  Google Scholar 

  4. Masip Y, Campo A, Nuñez SM (2020) Experimental analysis of the thermal performance on electronic cooling by a combination of cross-flow and an impinging air jet. Appl Therm Eng 167:114779. https://doi.org/10.1016/j.applthermaleng.2019.114779

    Article  Google Scholar 

  5. Ali E, Park J, Choi J, Han C, Park H (2022) Enhanced thermal performance of vortex generating liquid heat sink for the application of cooling high voltage direct current devices. Heat Mass Transf. https://doi.org/10.1007/s00231-021-03168-w

    Article  Google Scholar 

  6. Murmu SC, Bhattacharyya S, Chattopadhyay H, Biswas R (2020) Analysis of heat transfer around bluff bodies with variable inlet turbulent intensity: A numerical simulation. Int Commun Heat Mass Transf 117:104779. https://doi.org/10.1016/j.icheatmasstransfer.2020.104779

    Article  Google Scholar 

  7. Nanjundappa M (2021) Nusselt number and friction factor correlations for the solar air heater duct furnished with artificial cube shaped roughness elements on the absorber plate. Heat Mass Transf 57:1997–2013. https://doi.org/10.1007/s00231-021-03067-0

    Article  Google Scholar 

  8. Solnař S, Dostál M (2021) Thermal enhancement factors for 3D printed elements in square tube. Heat Mass Transf. https://doi.org/10.1007/s00231-021-03133-7

    Article  Google Scholar 

  9. Jia H, Chong A (2021) eplusr: A framework for integrating building energy simulation and data-driven analytics. Energy Build 237:110757. https://doi.org/10.1016/j.enbuild.2021.110757

    Article  Google Scholar 

  10. Ascione F, Bianco N, Iovane T, Mastellone M, Mauro GM (2021) Conceptualization, development and validation of EMAR: A user-friendly tool for accurate energy simulations of residential buildings via few numerical inputs. J Build Eng 44:102647. https://doi.org/10.1016/j.jobe.2021.102647

    Article  Google Scholar 

  11. Obyn S, van Moeseke G (2015) Variability and impact of internal surfaces convective heat transfer coefficients in the thermal evaluation of office buildings. Appl Therm Eng 87:258–272. https://doi.org/10.1016/j.applthermaleng.2015.05.030

    Article  Google Scholar 

  12. Gonçalves JE, Montazeri H, van Hooff T, Saelens D (2021) Performance of building integrated photovoltaic facades: Impact of exterior convective heat transfer. Appl Energy 287:116538. https://doi.org/10.1016/j.apenergy.2021.116538

    Article  Google Scholar 

  13. Goverde H, Goossens D, Govaerts J, Dubey V, Catthoor F, Baert K, Poortmans J, Driesen J (2015) Spatial and temporal analysis of wind effects on PV module temperature and performance. Sustain Energy Technol Assessments 11:36–41. https://doi.org/10.1016/j.seta.2015.05.003

    Article  Google Scholar 

  14. Karava P, Jubayer CM, Savory E (2011) Numerical modelling of forced convective heat transfer from the inclined windward roof of an isolated low-rise building with application to photovoltaic/thermal systems. Appl Therm Eng 31:1950–1963. https://doi.org/10.1016/j.applthermaleng.2011.02.042

    Article  Google Scholar 

  15. 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. Appl Therm Eng 56:134–151. https://doi.org/10.1016/j.applthermaleng.2013.03.003

    Article  Google Scholar 

  16. Iousef S, Montazeri H, Blocken B, van Wesemael P (2019) Impact of exterior convective heat transfer coefficient models on the energy demand prediction of buildings with different geometry. Build Simul 12:797–816. https://doi.org/10.1007/s12273-019-0531-7

    Article  Google Scholar 

  17. Kahsay MT, Bitsuamlak G, Tariku F (2020) Effect of localized exterior convective heat transfer on high-rise building energy consumption. Build Simul 13:127–139. https://doi.org/10.1007/s12273-019-0568-7

    Article  Google Scholar 

  18. Crawley DB, Hand JW, Kummert M, Griffith BT (2008) Contrasting the capabilities of building energy performance simulation programs. Build Environ 43:661–673. https://doi.org/10.1016/j.buildenv.2006.10.027

    Article  Google Scholar 

  19. Palyvos JA (2008) A survey of wind convection coefficient correlations for building envelope energy systems’ modeling. Appl Therm Eng 28:801–808. https://doi.org/10.1016/j.applthermaleng.2007.12.005

    Article  Google Scholar 

  20. Hens H (2012) Building Physics - Heat, Air and Moisture: Fundamentals and Engineering Methods with Examples and Exercises. John Wiley & Sons, United States. https://doi.org/10.1002/9783433601297

    Book  Google Scholar 

  21. Künzel HM, Kiessl K (1996) Calculation of heat and moisture transfer in exposed building components. Int J Heat Mass Transf 40:159–167. https://doi.org/10.1016/S0017-9310(96)00084-1

    Article  Google Scholar 

  22. Janssen H, Blocken B, Carmeliet J (2007) Conservative modelling of the moisture and heat transfer in building components under atmospheric excitation. Int J Heat Mass Transf 50:1128–1140. https://doi.org/10.1016/j.ijheatmasstransfer.2006.06.048

    Article  MATH  Google Scholar 

  23. Jayamaha SEG, Wijeysundera NE, Chou SK (1996) Measurement of the heat transfer coefficient for walls. Build Environ 31:399–407. https://doi.org/10.1016/0360-1323(96)00014-5

    Article  Google Scholar 

  24. Liu Y, Harris DJ (2007) Full-scale measurements of convective coefficient on external surface of a low-rise building in sheltered conditions. Build Environ 42:2718–2736. https://doi.org/10.1016/j.buildenv.2006.07.013

    Article  Google Scholar 

  25. Sparrow EM, Ramsey JW, Mass EA (1979) Effect of finite width on heat transfer and fluid flow about an inclined rectangular plate. J Heat Transf 101:199–204. https://doi.org/10.1115/1.3450946

    Article  Google Scholar 

  26. Nakamura H, Igarashi T, Tsutsui T (2001) Local heat transfer around a wall-mounted cube in the turbulent boundary layer. Int J Heat Mass Transf 44:3385–3395. https://doi.org/10.1016/S0017-9310(01)00009-6

    Article  Google Scholar 

  27. Natarajan V, Chyu MK (1994) Effect of flow angle-of-attack on the local heat/mass transfer from a wall-mounted cube. J Heat Transf 116:552–560. https://doi.org/10.1115/1.2910906

    Article  Google Scholar 

  28. Cliyn MK, Natarajan V (1991) Local heat/iass transfer distributions on the surface of a wall-mounted cube. J Heat Transf 113:851–857. https://doi.org/10.1115/1.2911213

    Article  Google Scholar 

  29. Meinders ER, Hanjalic K, Martinuzzi RJ (1999) Experimental study of the local convection heat transfer from a wall-mounted cube in turbulent channel flow. J Heat Transf 121:564–573. https://doi.org/10.1115/1.2826017

    Article  Google Scholar 

  30. Defraeye T, Blocken B, Carmeliet J (2011) Convective heat transfer coefficients for exterior building surfaces: Existing correlations and CFD modelling. Energy Convers Manag 52:512–522. https://doi.org/10.1016/j.enconman.2010.07.026

    Article  Google Scholar 

  31. Emmel MG, Abadie MO, Mendes N (2007) New external convective heat transfer coefficient correlations for isolated low-rise buildings. Energy Build 39:335–342. https://doi.org/10.1016/j.enbuild.2006.08.001

    Article  Google Scholar 

  32. 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. Build Environ 44:2396–2412. https://doi.org/10.1016/j.buildenv.2009.04.004

    Article  Google Scholar 

  33. 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. Int J Heat Mass Transf 53:297–308. https://doi.org/10.1016/j.ijheatmasstransfer.2009.09.029

    Article  MATH  Google Scholar 

  34. Montazeri H, Blocken B (2017) New generalized expressions for forced convective heat transfer coefficients at building facades and roofs. Build Environ 119:153–168. https://doi.org/10.1016/j.buildenv.2017.04.012

    Article  Google Scholar 

  35. Montazeri H, Blocken B (2018) Extension of generalized forced convective heat transfer coefficient expressions for isolated buildings taking into account oblique wind directions. Build Environ 140:194–208. https://doi.org/10.1016/j.buildenv.2018.05.027

    Article  Google Scholar 

  36. Liu S, Pan W, Zhao X, Zhang H, Cheng X, Long Z, Chen Q (2018) Influence of surrounding buildings on wind flow around a building predicted by CFD simulations. Build Environ 140:1–10. https://doi.org/10.1016/j.buildenv.2018.05.011

    Article  Google Scholar 

  37. Liu J, Srebric J, Yu N (2013) Numerical simulation of convective heat transfer coefficients at the external surfaces of building arrays immersed in a turbulent boundary layer. Int J Heat Mass Transf 61:209–225. https://doi.org/10.1016/j.ijheatmasstransfer.2013.02.005

    Article  Google Scholar 

  38. Awol A, Bitsuamlak GT, Tariku F (2020) Numerical estimation of the external convective heat transfer coefficient for buildings in an urban-like setting. Build Environ 169:106557. https://doi.org/10.1016/j.buildenv.2019.106557

    Article  Google Scholar 

  39. Zu G, Lam KM (2018) LES and wind tunnel test of flow around two tall buildings in staggered arrangement. Computation 6:28. https://doi.org/10.3390/computation6020028

    Article  Google Scholar 

  40. Meinders ER (1998) Experimental study of heat transfer in turbulent flows over wall-mounted cubes. Delft University of Technology

    Google Scholar 

  41. Meinders ER, van der Meer TH, Hanjalić K, Lasance CJM (1997) Application of infrared thermography to the evaluation of local convective heat transfer on arrays of cubical protrusions. Int J Heat Fluid Flow 18:152–159. https://doi.org/10.1016/S0142-727X(96)00139-7

    Article  Google Scholar 

  42. Montazeri H, Blocken B, Derome D, Carmeliet J, Hensen JLM (2015) CFD analysis of forced convective heat transfer coefficients at windward building facades: Influence of building geometry. J Wind Eng Ind Aerodyn 146:102–116. https://doi.org/10.1016/j.jweia.2015.07.007

    Article  Google Scholar 

  43. Buechner T, Urbanitz D (1980) Pro-Kontra: Immuntherapie Der Akuten Leukamie. Argumente Fur Eine Immuntherapie Internist 21:362–366

    Google Scholar 

  44. 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. J Wind Eng Ind Aerodyn 96:1749–1761. https://doi.org/10.1016/j.jweia.2008.02.058

    Article  Google Scholar 

  45. Blocken B (2015) Computational Fluid Dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations. Build Environ 91:219–245. https://doi.org/10.1016/j.buildenv.2015.02.015

    Article  Google Scholar 

  46. Blocken B, Carmeliet J, Stathopoulos T (2007) CFD evaluation of wind speed conditions in passages between parallel buildings-effect of wall-function roughness modifications for the atmospheric boundary layer flow. J Wind Eng Ind Aerodyn 95:941–962. https://doi.org/10.1016/j.jweia.2007.01.013

    Article  Google Scholar 

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

    Article  Google Scholar 

  48. Goldberg U, Peroomian O, Chakravarthy S (1998) A wall-distance-free K-ϵ model with enhanced near-wall treatment. J Fluids Eng Trans ASME 120:457–462. https://doi.org/10.1115/1.2820684

    Article  Google Scholar 

  49. Janna WS (2009) Introduction to Fluid Mechanics. John Wiley & Sons. https://doi.org/10.1201/9781420085259

    Book  Google Scholar 

  50. Niranjan RS, Singh O, Ramkumar J (2022) Numerical study on thermal analysis of square micro pin fins under forced convection. Heat Mass Transf 58:263–281. https://doi.org/10.1007/s00231-021-03105-x

    Article  Google Scholar 

  51. Shah S, Parwani AK (2021) Estimation of local heat flux with CFD and enhanced conjugate gradient method for laminar and turbulent flow in a helical coil tube heat exchanger. Heat Mass Transf. https://doi.org/10.1007/s00231-021-03138-2

    Article  Google Scholar 

  52. Wolfshtein M (1969) The velocity and temperature distribution in one-dimensional flow with turbulence augmentation and pressure gradient. Int J Heat Mass Transf 12:301–318. https://doi.org/10.1016/0017-9310(69)90012-X

    Article  Google Scholar 

  53. Richards PJ, Hoxey RP (1993) Appropriate boundary conditions for computational wind engineering models using the k-ϵ turbulence model. J Wind Eng Ind Aerodyn 46–47:145–153. https://doi.org/10.1016/0167-6105(93)90124-7

    Article  Google Scholar 

  54. Wieringa J (1992) Updating the Davenport roughness classification. J Wind Eng Ind Aerodyn 41:357–368. https://doi.org/10.1016/0167-6105(92)90434-C

    Article  Google Scholar 

  55. Balogh M, Parente A, Benocci C (2012) RANS simulation of ABL flow over complex terrains applying an Enhanced k-ε model and wall function formulation: Implementation and comparison for fluent and OpenFOAM. J Wind Eng Ind Aerodyn 104–106:360–368. https://doi.org/10.1016/j.jweia.2012.02.023

    Article  Google Scholar 

Download references

Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: [Morteza Anbarsooz], Methodology: [Morteza Anbarsooz], Formal analysis and investigation: [Morteza Anbarsooz, Hadi Mirian], Writing–original draft preparation: [Morteza Anbarsooz, Goodarz Ahmadi]; Resources: [Morteza Anbarsooz, Hadi Mirian], Supervision: [Morteza Anbarsooz, Goodarz Ahmadi].

Corresponding author

Correspondence to M. Anbarsooz.

Ethics declarations

Competing interests

The authors have no relevant financial or non-financial interests to disclose.

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Anbarsooz, M., Mirian, H. & Ahmadi, G. Numerical analysis of convective heat transfer coefficients at the facades of two cubical buildings in tandem and staggered configurations. Heat Mass Transfer 58, 1979–1996 (2022). https://doi.org/10.1007/s00231-022-03226-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00231-022-03226-x

Navigation