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Investigating the Effect of Different Parameters on CHTC Using Wind-Tunnel Measurement and Computational Fluid Dynamics (CFD) to Develop CHTC Correlations for Mixed CHTCS

Published online by Cambridge University Press:  28 October 2020

Hamed Agabalaie Fakhim Open the ORCID record for Hamed Agabalaie Fakhim [Opens in a new window] ,
Kamiar Zamzamian  and
Masoud Hanifi
Hamed Agabalaie Fakhim
Affiliation:
Department of Mechanical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Kamiar Zamzamian*
Affiliation:
Department of Mechanical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Masoud Hanifi
Affiliation:
Department of Mechanical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
*
*Corresponding author (Zamzamian@iaut.ac.ir)
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Abstract

Convective Heat Transfer Coefficient (CHTC) is a determining factor in building energy simulation (BES) tools for building thermal calculations. The accuracy of CHTC calculation has a direct effect on building energy analysis.This study aims to assess the impact of multiple parameters, namely temperature difference, wind speed, and wind direction on CHTC of building exterior surfaces. Then the overall high accuracy correlation based on these parameters for CHTC is provided. According to the specified values for temperature and velocity, Richardson’s number range from 0.1 to 10, representing a mixed heat transfer. The simulated results are compared with a wind tunnel experiment for validation. The standard k-epsilon model is used for turbulence simulation. Several cases are numerically simulated, considering various velocities, wind directions, and temperature differences. Results indicate that the studied parameters could be ranked as velocity, building orientation, and temperature difference in the order of effectiveness. All of the correlations used in EnergyPlus software for the exterior surface of the building are compared with the presented correlation and simulated data. The comparison shows that the proposed expression could predict CHTC for various angles, velocities, and temperature differences with an error of below 3%.

Keywords

Mixed Convection Heat TransferNumerical and Experimental AnalysesBuilding Simulation OptimizationExterior Surface

Information

Type
Research Article
Information
Journal of Mechanics , Volume 36 , Issue 6 , December 2020 , pp. 915 - 932
Copyright
Copyright © 2020 The Society of Theoretical and Applied Mechanics

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References

REFERENCES

Chandra, R., Goel, V.K., Raychaudhuri, B.C, “Universal curves for natural convection heat transfer coefficientsin flat-plate solar-energy collectors,” Applied Energy, 13(2), pp. 101–107 (1983).10.1016/0306-2619(83)90003-XCrossRefGoogle Scholar
Jothirathinam, S., Parasumanna, Krishnamurthy N., Somchai, W., El-Sayed, El-A., Ravishankar, S., “Experimental study on the thermal performance and heat transfer characteristics of solar parabolic trough collector using Al2O3 nanofluids,” Environmental Progress & Sustainable Energy, 37(3), pp. 1149-1159 (2017).Google Scholar
Iacovides, H., Launder, B.E., “Computational fluid dynamics applied to internal gasturbine blade cooling: a review,” International Journal of Heat and Fluid Flow, 16(6), pp. 454–470 (1995).10.1016/0142-727X(95)00072-XCrossRefGoogle Scholar
Namgial, D., Rajan, A., Vishavjeet, H., Arun, K. “Evaluation of thermal performance of single pass earth–air heat exchanger in heating mode”, Environmental Progress & Sustainable Energy, 36(4), pp. 1253-1261 (2017).Google Scholar
Montazeri, H., Blocken, B., M.Hensen, J.L., “Evaporative cooling by water spray systems: CFD simulation, experimental validation and sensitivity analysis,” Building and Environment, 83, pp. 129-141 (2015).10.1016/j.buildenv.2014.03.022CrossRefGoogle Scholar
Montazeri, H., Blocken, B., M.Hensen, J.L., “CFD analysis of the impact of physical parameters on evaporative cooling by a mist spray system,” Applied Thermal Engineering, 75, pp. 608-622 (2015).10.1016/j.applthermaleng.2014.09.078CrossRefGoogle Scholar
Iousef., S., Montazeri., H., Blocken., B., Wesemael., P., “Impact of exterior convective heat transfer coefficient models on the energy demand prediction of buildings with different geometry,” Building Simulation, 12, pp. 797-816 (2019)10.1007/s12273-019-0531-7CrossRefGoogle Scholar
Nakamura, H., Igarashi, T., Tsutsui, , “Local heat transfer around a wall-mounted cube in the turbulent boundary layer,” International Journal of Heat and Mass Transfer, 44(18), pp. 3385-3395 (2001).10.1016/S0017-9310(01)00009-6CrossRefGoogle Scholar
Nakamura, H., Igarashi, T., Tsutsui, T., “Local heat transfer around a wall-mounted cube at 45° to flow in a turbulent boundary layer,” International Journal of Heat and Fluid Flow, 24(6), pp. 807-815 (2003).10.1016/S0142-727X(03)00087-0CrossRefGoogle Scholar
Sparrow, E.M., Ramsey, J.W., Mass, E.A., “Effect of Finite Width on Heat Transfer and Fluid Flow about an Inclined Rectangular Plate,” Journal of Heat Transfer, 101(2), pp. 199-204 (1979).10.1115/1.3450946CrossRefGoogle Scholar
Liu, Y., Harris, D.J., “Full-scale measurements of convective coefficient on external surface of a low-rise building in sheltered conditions,” Building and Environment, 42(7), pp. 2718-2736 (2007).10.1016/j.buildenv.2006.07.013CrossRefGoogle Scholar
Shao, J., Liu, J., Zhao, J., “Field measurement of the convective heat transfer coefficient on vertical external building surfaces using naphthalene sublimation method,” Journal of Building Physics, 33(4), pp. 307-326 (2010).10.1177/1744259109357585CrossRefGoogle Scholar
Emmel, M.G., Abadie, M.O., Mendes, N., “New external convective heat transfer coefficient correlations for isolated low-rise buildings,” Energy and Buildings, 39(3), pp. 335-342 (2007).10.1016/j.enbuild.2006.08.001CrossRefGoogle Scholar
Blocken, B., Defraeye, T., Derome, D., et al., “High-resolution CFD simulations for forced convective heat transfer coefficients at the facade of a low-rise building,” Building and Environment, 44(12), pp. 2396-2412 (2009).10.1016/j.buildenv.2009.04.004CrossRefGoogle Scholar
Defraeye, T., Blocken, B., Carmeliet, J., “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(1), pp. 297-308 (2010).10.1016/j.ijheatmasstransfer.2009.09.029CrossRefGoogle Scholar
Montazeri, H., Blocken, B., Derome, D., “CFD analysis of forced convective heat transfer coefficients at windward building facades: Influence of building geometry,” Journal of Wind Engineering and Industrial Aerodynamics, 146, pp. 102-116 (2015).CrossRefGoogle Scholar
Zheng., X., Montazeri, H., Blocken, B., “CFD simulations of wind flow and mean surface pressure for buildings with balconies: Comparison of RANS and LES,” Building and Environment, 173, 2020,10.1016/j.buildenv.2020.106747CrossRefGoogle Scholar
Montazeri, H., Blocken, B., “New generalized expressions for forced convective heat transfer coefficients at building facades and roofs,” Building and Environment, 119, pp. 153-168 (2017).10.1016/j.buildenv.2017.04.012CrossRefGoogle Scholar
Loveday, D.L., Taki, A.H., “Convective heat transfer coefficients at a plane surface on a full-scale building facade,” International Journal of Heat and Mass Transfer, 39, pp. 1729–1742 (1996).10.1016/0017-9310(95)00268-5CrossRefGoogle Scholar
Vollaro, A.D.L., Galli, G., Vallati, A., “CFD Analysis of Convective Heat Transfer Coefficient on External Surfaces of Buildings,” Sustainability, 7, pp. 9088-9099 (2015).CrossRefGoogle Scholar
Ze-Xi, Hu, Gui-Xiang, Cui, Zhao-Shun, Zhang, “Numerical study of mixed convective heat transfer coefficients for building cluster,” Journal of Wind Engineering & Industrial Aerodynamics, 172, pp. 170-180 (2018).Google Scholar
Defraeye, T., Blocken, B., Carmeliet, J., “Convective heat transfer coefficients for exterior building surfaces: Existing correlations and CFD modeling,” Energy Conversion and Management, 52(1), pp. 512-522 (2011).10.1016/j.enconman.2010.07.026CrossRefGoogle Scholar
Yazdanian, M., Klems, J.H., “Measurement of the exterior convective film coefficient for Window in low-rise buildings,” ASHRAE Transact., 100 (Part 1), pp. 1087–1096 (1994).Google Scholar
McAdams, W.H., Heat Transmission, third ed., Y, New York-London.: M CGraw Hill N., (1954).Google Scholar
Guide Book, A, Section A3, Chartered Institute of Building Services (CIBS), CIBS., London, (1979).Google Scholar
Palyvos, J.A., “A survey of wind convection coefficient correlations for building envelope energy systems’ modeling,” Applied Thermal Engineering, 28, pp. 801–808, (2008).CrossRefGoogle Scholar
Chyu, M.K., Natarajan, V., “Local heat mass-transfer distributions on the surface of a wall-mounted cube,” Journal of Heat Transfer ASME, 113, pp. 851–857 (1991).10.1115/1.2911213CrossRefGoogle Scholar
Natarajan, V., Chyu, M.K., “Effect of flow angle-of-attack on the local heat/mass transfer from a wall-mounted cube, Trans,” Journal of Heat Transfer ASME, 116, pp. 552–560 (1994).10.1115/1.2910906CrossRefGoogle Scholar
Meinders, E.R., Van Der Meer, T.H., Hanjalic, K., “Local convective heat transfer from an array of wall-mounted cubes,” International Journal of Heat and Mass Transfer, 41, pp. 335–346 (1998).CrossRefGoogle Scholar
Meinders, E.R., Hanjalic, K., Martinuzzi, R., “Experimental study of the local convection heat transfer from a wall-mounted cube in turbulent channel flow, Trans,” Journal of Heat Transfer ASME, 121, pp. 564–573 (1999).CrossRefGoogle Scholar
Meinders, E.R., Hanjalic, K., “Vortex structure and heat transfer in turbulent flowover a wall-mounted matrix of cubes,” International Journal of Heat and Mass Transfer, 20, pp. 255–267 (1999).Google Scholar
Meinders, E.R., Hanjalic, K., “Experimental study of the convective heat transfer from in-line and staggered configurations of two wall-mounted cubes,” International Journal of Heat and Mass Transfer, 45, pp. 465–482 (2002).10.1016/S0017-9310(01)00180-6CrossRefGoogle Scholar
Yaghoubi, M., Velayati, E., “Undeveloped convective heat transfer from an array of cubes in cross-stream direction,” International Journal of Thermal Sciences, 44, pp. 756–765 (2005).10.1016/j.ijthermalsci.2005.02.003CrossRefGoogle Scholar
Wang, K.-C., Chiou, R.T., “Local mass/heat transfer from a wall-mounted block in rectangular channel flow,” Heat and Mass Transfer., 42, pp. 660–670 (2006).CrossRefGoogle Scholar
Allegrini, J., Dorer, V., Carmelit, J., “Analysis of convective heat transfer at building façades in street canyons and its influence on the predictions of space cooling demand in buildings,” Journal of Wind Engineering & Industrial Aerodynamics, 104, pp. 464–473 (2012).10.1016/j.jweia.2012.02.003CrossRefGoogle Scholar
Liuab, J., Heidarinejad, M., Gracik, S., Srebric, J., “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, pp. 449–463 (2015).Google Scholar
Blocken, B., Montazeri, H., “Extension of generalized forced convective heat transfer coefficient expressions for isolated buildings taking into account oblique wind directions,” Building and Environment, 140, pp. 194-208 (2018).Google Scholar
Koubogiannis, D.G., Athanasiadis, A.N., Giannakoglou., K.C., “One-and two-equation turbulence models for the prediction of complex cascade flows using unstructured grids”, Computers & Fluids, 32, pp.403-430 (2001).10.1016/S0045-7930(01)00086-XCrossRefGoogle Scholar
Birch., K., “Measurement Good Practice Guide Estimating Uncertainties in Testing,” British Measurement and Testing Association, 36, (2001).Google Scholar
Franke, J., Hellsten, A., Schlünzen, H., Carissimo, B., “Best practice guideline for the CFD simulation of flows in the urban environment. COSTaction 732: quality assurance and improvement of microscale meteorological models,” (2007).Google Scholar
Richards, P.J., Hoxey, R.P., “Appropriate boundary conditions for computational wind engineering models using the k-ε turbulence model,” Computational Wind Engineering 1, 46, pp. 145-153 (1993).CrossRefGoogle Scholar
Wieringa, J. “Updating the Davenport roughness classification,” Journal of Wind Engineering and Industrial Aerodynamics, 41, pp. 357-368 (1992).10.1016/0167-6105(92)90434-CCrossRefGoogle Scholar
Celik, I., Ghia, U., Roache, P.J., Freitas, C.J., Coloman, H., Raad, P. E., “Procedure of Estimation and Reporting of Uncertainty Due to Discretization in CFD Applications,” Journal of Fluids Engineering, 130(7): 078001, DOI: 10.1115/1.2960953 (2008).Google Scholar
EnergyPlus Version 8.9.0 Documentation Engineering Reference, U.S. Department of Energy, (2018).Google Scholar