AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (968.7 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Impact of exterior convective heat transfer coefficient models on the energy demand prediction of buildings with different geometry

Samy Iousef1( )Hamid Montazeri1,2Bert Blocken1,2Pieter van Wesemael1
Department of the Built Environment, Eindhoven University of Technology, P.O. Box 513, 5600, Eindhoven, The Netherlands
Department of Civil Engineering, KU Leuven, Kasteelpark Arenberg 40 - Bus 2447, 3001, Leuven, Belgium
Show Author Information

Abstract

Accurate models for exterior convective heat transfer coefficients (CHTC) are important for predicting building energy demand. A detailed review of the literature indicates that existing CHTC models take into account the impact of building geometry either incompletely, or not at all. To the best of our knowledge, research on the impact of exterior CHTC models on the predicted energy performance of buildings with different geometry has not yet been performed. This paper, therefore, investigates the influence of CHTC models on the calculated energy demand of buildings with varying geometry. Building energy simulations are performed for three groups: buildings with Hb (building height) > Wb (building width), buildings with Hb < Wb and buildings with Hb = Wb. Six commonly used CHTC models and a new generalized CHTC model are considered. The generalized CHTC model is expressed as a function of Hb and Wb. The simulations are performed for low and high thermal resistances of the building envelope. The results show that the different CHTC models provide significantly different predictions for the building energy demand. While for annual heating demand, deviations of -14.5% are found, for the annual cooling demand a maximum deviation of +42.0% is obtained, compared to the generalized CHTC model. This study underlines the need for the CHTC models to consider building geometry in their expressions, especially for high-rise buildings. For low-rise builgings, the observed deviations between the existing and the generalized CHTC model are less pronounced.

References

 
J Allegrini, J Carmeliet (2017). Coupled CFD and building energy simulations for studying the impacts of building height topology and buoyancy on local urban microclimates. Urban Climate, 21: 278-305.
 
J Allegrini, V Dorer, J Carmeliet (2012). 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 and Industrial Aerodynamics, 104: 464-473.
 
N Antoniou, H Montazeri, H Wigo, MK-A Neophytou, B Blocken, M Sandberg (2017). CFD and wind-tunnel analysis of outdoor ventilation in a real compact heterogeneous urban area: Evaluation using “air delay”. Building and Environment, 126: 355-372.
 
ASHRAE (1981). ASHRAE Handbook-Fundamentals. Atlanta, GA, USA: American Society of Heating Refrigerating and Air-Conditioning Engineers.
 
ASHRAE (2005). ASHRAE Handbook-Fundamentals. Atlanta, GA, USA: American Society of Heating Refrigerating and Air-Conditioning Engineers.
 
I Beausoleil-Morrison (2000). The adaptive coupling of heat and air flow modelling within dynamic whole-building simulation. PhD Thesis, University of Strathclyde, UK.
 
B Blocken, J Carmeliet (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: 101-127.
 
B Blocken, P Moonen, T Stathopoulos, J Carmeliet (2008a). Numerical study on the existence of the Venturi effect in passages between perpendicular buildings. Journal of Engineering Mechanics, 134: 1021-1028.
 
B Blocken, T Stathopoulos, J Carmeliet (2008b). Wind environmental conditions in passages between two long narrow perpendicular buildings. Journal of Aerospace Engineering, 21: 280-287.
 
B Blocken, T Defraeye, D Derome, J Carmeliet (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.
 
B Blocken (2014). 50 years of Computational Wind Engineering: Past, present and future. Journal of Wind Engineering and Industrial Aerodynamics, 129: 69-102.
 
B Blocken (2015). Computational Fluid Dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations. Building and Environment, 91: 219-245.
 
(2012). Bouwbesluit Nederland. Available at http://www.bouwbesluitonline.nl/. Accessed 5 Sep 2017.
 
I Chand, PK Bhargava, NLV Krishak (1998). Effect of balconies on ventilation inducing aeromotive force on low-rise buildings. Building and Environment, 33: 385-396.
 
JA Clarke (2001). Energy Simulation in Building Design. Oxford, England: Butterworth-Heinemann.
 
RD Clear, L Gartland, FC Winkelmann (2003). An empirical correlation for the outside convective air-film coefficient for horizontal roofs. Energy and Buildings, 35: 797-811.
 
RJ Cole, NS Sturrock (1977). The convective heat exchange at the external surface of buildings. Building and Environment, 12: 207-214.
 
T Defraeye, B Blocken, J Carmeliet (2011). Convective heat transfer coefficients for exterior building surfaces: Existing correlations and CFD modelling. Energy Conversion and Management, 52: 512-522.
 
T Defraeye, B Blocken, J Carmeliet (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.
 
P Depecker, C Menezo, J Virgone, S Lepers (2001). Design of buildings shape and energetic consumption. Building and Environment, 36: 627-635.
 
Y Ding, Q Zhang, T Yuan, F Yang (2018). Effect of input variables on cooling load prediction accuracy of an office building. Applied Thermal Engineering, 128: 225-234.
 
MG Emmel, MO Abadie, N Mendes (2007). New external convective heat transfer coefficient correlations for isolated low-rise buildings. Energy and Buildings, 39: 335-342.
 
L Evangelisti, C Guattari, P Gori, F Bianchi (2017). Heat transfer study of external convective and radiative coefficients for building applications. Energy and Buildings, 151: 429-438.
 
DE Fisher, CO Pedersen (1997). Convective heat transfer in building energy and thermal load calculations. ASHRAE Transactions, 103(2): 137-148.
 
A Hagishima, J Tanimoto (2003). Field measurements for estimating the convective heat transfer coefficient at building surfaces. Building and Environment, 38: 873-881.
 
SR Hanna, MJ Brown, FE Camelli, ST Chan, WJ Coirier, OR Hansen, AH Huber, S Kim, RM Reynolds (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: 1713-1726.
 
JLM Hensen, R Lamberts (2011). Building Performance Simulation for Design and Operation. London: Spon Press.
 
Z-X Hu, G-X Cui, Z-S Zhang (2018). Numerical study of mixed convective heat transfer coefficients for building cluster. Journal of Wind Engineering and Industrial Aerodynamics, 172: 170-180.
 
S Iousef, H Montazeri, B Blocken, PJV van Wesemael (2017). On the use of non-conformal grids for economic LES of wind flow and convective heat transfer for a wall-mounted cube. Building and Environment, 119: 44-61.
 
ISSO (2011). Publicatie 32: Uitgangspunten temperatuursimulatieberekeningen. Rotterdam, the Netherlands: Stichting ISSO.
 
SEG Jayamaha, NE Wijeysundera, SK Chou (1996). Measurement of the heat transfer coefficient for walls. Building and Environment, 31: 399-407.
 
R Judkoff, J Neymark (1995). International Energy Agency building energy simulation test (BESTEST) and diagnostic method. Golden, CO, USA: National Renewable Energy Laboratory.
 
P Karava, CM Jubayer, E Savory (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. Applied Thermal Engineering, 31: 1950-1963.
 
KNMI (2015). Koninklijk Nederlands Meteorologisch Instituut (KNMI). Available at http://www.knmi.nl. Accessed 15 Sep 2017.
 
JC Lam, KKW Wan, CL Tsang, L Yang (2008). Building energy efficiency in different climates. Energy Conversion and Management, 49: 2354-2366.
 
IV JH Lienhard, V JH Lienhard (2008). A Heat Transfer Textbook, 3rd edn. Cambridge, MA, USA: Phlogiston Press.
 
J Liu, M Heidarinejad, S Gracik, J Srebric (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.
 
J Liu, J Srebric, N Yu (2013). Numerical simulation of convective heat transfer coefficients at the external surfaces of building arrays immersed in a turbulent boundary layer. International Journal of Heat and Mass Transfer, 61: 209-225.
 
Y Liu, DJ Harris (2007). Full-scale measurements of convective coefficient on external surface of a low-rise building in sheltered conditions. Building and Environment, 42: 2718-2736.
 
DL Loveday, AH Taki (1996). Convective heat transfer coefficients at a plane surface on a full-scale building facade. International Journal of Heat and Mass Transfer, 39: 1729-1742.
 
AM Malkawi, G Augenbroe (2003). Advanced Building Simulation. New York, USA: Spon Press.
 
W McAdams (1954). Heat transmission. Tokyo, Japan: McGraw-Hill Kogakusha.
 
ER Meinders (1998). Experimental study of heat transfer in turbulent flows over wall-mounted cubes. PhD Thesis, Technische Universiteit Delft, the Netherlands.
 
ER Meinders, K Hanjalić, RJ Martinuzzi (1999). Experimental study of the local convection heat transfer from a wall-mounted cube in turbulent channel flow. Journal of Heat Transfer-Transactions of the ASME, 121: 564-573.
 
RN Meroney (1978). Studying the convective heat transfer from a building model with infrared camera techniques. In: Proceedings of ASME Winter Annual Meeting, ASME Paper 78-WA/HT-58, San Francisco, California, USA.
 
Ministerie van Binnenlandse Zaken en Koninkrijksrelaties (2016). Cijfers over wonen en bouwen. Den Haag, the Netherlands.
 
Ministerie van VROM (2009). Energiegedrag in De Woning. Den Haag, the Netherlands.
 
M Mirsadeghi, D Cóstola, B Blocken, JLM Hensen (2013). Review of external convective heat transfer coefficient models in building energy simulation programs: Implementation and uncertainty. Applied Thermal Engineering, 56: 134-151.
 
JW Mitchell (1976). Heat transfer from spheres and other animal forms. Biophysical Journal, 16: 561-569.
 
A Mochida, S Murakami, T Ojima, S Kim, R Ooka, H Sugiyama (1997). CFD analysis of mesoscale climate in the Greater Tokyo area. Journal of Wind Engineering and Industrial Aerodynamics, 67-68: 459-477.
 
H Montazeri, B Blocken (2013). CFD simulation of wind-induced pressure coefficients on buildings with and without balconies: Validation and sensitivity analysis. Building and Environment, 60: 137-149.
 
H Montazeri, B Blocken (2017). New generalized expressions for forced convective heat transfer coefficients at building facades and roofs. Building and Environment, 119: 153-168.
 
H Montazeri, B Blocken (2018). Extension of generalized forced convective heat transfer coefficient expressions for isolated buildings taking into account oblique wind directions. Building and Environment, 140: 194-208.
 
H Montazeri, B Blocken, WD Janssen, T van Hooff (2013). CFD evaluation of new second-skin facade concept for wind comfort on building balconies: Case study for the Park Tower in Antwerp. Building and Environment, 68: 179-192.
 
H Montazeri, B Blocken, D Derome, J Carmeliet, JLM Hensen (2015). CFD analysis of forced convective heat transfer coefficients at windward building facades: Influence of building geometry. Journal of Wind Engineering and Industrial Aerodynamics, 146: 102-116.
 
H Montazeri, F Montazeri (2018). CFD simulation of cross-ventilation in buildings using rooftop wind-catchers: Impact of outlet openings. Renewable Energy, 118: 502-520.
 
S Murakami (1990). Computational wind engineering. Journal of Wind Engineering and Industrial Aerodynamics, 36: 517-538.
 
K Nicol (1977). The energy balance of an exterior window surface, Inuvik, N.W.T., Canada. Building and Environment, 12: 215-219.
 
NNI (2011). NEN 7120. Energy performance of buildings—Determination method. Delft, the Netherlands: Nederlands Normalisatie-Instituut.
 
W Nusselt, W Jürges (1922). The cooling of a flat wall by an airstream (Die Kühlung einer ebenen wand durch einen Luftstrom). Gesundh-Ing, 52: 641-642.
 
S Obyn, G van Moeseke (2015). Variability and impact of internal surfaces convective heat transfer coefficients in the thermal evaluation of office buildings. Applied Thermal Engineering, 87: 258-272.
 
MV Oliphant (1980). Measurement of wind speed distributions across a solar collector. Solar Energy, 24: 403-405.
 
JA Palyvos (2008). A survey of wind convection coefficient correlations for building envelope energy systems’ modeling. Applied Thermal Engineering, 28: 801-808.
 
W Rodi (1997). Comparison of LES and RANS calculations of the flow around bluff bodies. Journal of Wind Engineering and Industrial Aerodynamics, 69-71: 55-75.
 
E Rodriguez-Ubinas, C Montero, M Porteros, S Vega, I Navarro, M Castillo-Cagigal, E Matallanas, A Gutiérrez (2014). Passive design strategies and performance of Net Energy Plus Houses. Energy and Buildings, 83: 10-22.
 
M Santamouris (2014). Cooling the cities—A review of reflective and green roof mitigation technologies to fight heat island and improve comfort in urban environments. Solar Energy, 103: 682-703.
 
S Sharples (1984). Full-scale measurements of convective energy losses from exterior building surfaces. Building and Environment, 19: 31-39.
 
T-H Shih, WW Liou, A Shabbir, Z Yang, J Zhu (1995). A new k-ε eddy viscosity model for high Reynolds number turbulent flows. Computers & Fluids, 24: 227-238.
 
R Siegel, EM Sparrow (1960). Comparison of turbulent heat-transfer results for uniform wall heat flux and uniform wall temperature. Journal of Heat Transfer, 82: 152-153.
 
EM Sparrow, JW Ramsey, EA Mass (1979). Effect of finite width on heat transfer and fluid flow about an inclined rectangular plate. Journal of Heat Transfer, 101: 199-204.
 
T Stathopoulos, X Zhu (1988). Wind pressures on building with appurtenances. Journal of Wind Engineering and Industrial Aerodynamics, 31: 265-281.
 
US Department of Energy (2016). EnergyPlus engineering reference. Available at https://energyplus.net/sites/all/modules/custom/nrel_custom/pdfs/pdfs_v8.5.0/EngineeringReference.pdf.Accessed 15 Sep 2017.
 
T van Hooff, B Blocken, JLM Hensen, HJP Timmermans (2015). Reprint of: On the predicted effectiveness of climate adaptation measures for residential buildings. Building and Environment, 83: 142-158.
 
T van Hooff, B Blocken, HJP Timmermans, JLM Hensen (2016). Analysis of the predicted effect of passive climate adaptation measures on energy demand for cooling and heating in a residential building. Energy, 94: 811-820.
 
R Vasaturo, T van Hooff, I Kalkman, B Blocken, P van Wesemael (2018). Impact of passive climate adaptation measures and building orientation on the energy demand of a detached lightweight semi-portable building. Building Simulation, 11: 1163-1177.
 
GN Walton (1983). Thermal Analysis Research Program Reference Manual. Washington, DC, USA: US Department of Commerce, National Bureau of Standards.
 
M Wolfshtein (1969). The velocity and temperature distribution in one-dimensional flow with turbulence augmentation and pressure gradient. International Journal of Heat and Mass Transfer, 12: 301-318.
 
M Yazdanian, JH Klems (1994). Measurement of the exterior convective film coefficient for windows in low-rise buildings. ASHRAE Transactions, 100(1): 1087-1096.
 
R Zhang, KP Lam, S Yao, Y Zhang (2013). Coupled EnergyPlus and computational fluid dynamics simulation for natural ventilation. Building and Environment, 68: 100-113.
Building Simulation
Pages 797-816
Cite this article:
Iousef S, Montazeri H, Blocken B, et al. Impact of exterior convective heat transfer coefficient models on the energy demand prediction of buildings with different geometry. Building Simulation, 2019, 12(5): 797-816. https://doi.org/10.1007/s12273-019-0531-7

545

Views

16

Downloads

19

Crossref

N/A

Web of Science

23

Scopus

3

CSCD

Altmetrics

Received: 11 September 2018
Revised: 17 January 2019
Accepted: 20 February 2019
Published: 04 April 2019
© The Author(s) 2019.

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit http:// creativecommons.org/licenses/by/4.0/.

Return