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Research Article

Improvement of thermal performance through window surface with interior blind by analyzing detailed heat transfer

Kapchun Yoon, Gyeong Yun, Kang Soo Kim( )
Department of Architecture, Korea University, 5-1 Anam-dong, Seongbuk-gu, 136-713, R. O. Korea
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Abstract

Generally, the cooling loads of buildings with interior blinds are greater than those of buildings with exterior blinds. This is caused by convective and infrared heat gain from the blind and the air gap between the blind and the window’s inner surface. The aim of this study is to determine the optimum thermal properties of an interior blind that can generate the minimum window heat gain. Therefore, we analyzed the detailed window heat gain with several variables of window blinds. In addition, we found the best performance case in terms of the combination of the solar reflectance and the infrared emissivity that has the minimum window heat gain according to the different slat angles. We used the EnergyPlus software V.8.1 verified according to the ANSI/ASHRAE standard 140-2011 to analyze the detailed window heat gain. The results of this study informed the following conclusions. Increasing the solar reflectance of both sides of the blind slat is advantageous to reduce the window heat gain with the interior blind, regardless of the blind slat angle. Moreover, increasing the infrared emissivity of both sides of the blind slat is the best way to reduce the window heat gain in the case of the blind slat angle of 0°. However, in other cases, the best way to reduce the window heat gain is to increase the infrared emissivity of the front side of the blind slat and decrease the infrared emissivity of the back side of the blind slat.

Keywords

EnergyPlusthermal performanceheat transferwindow blind

References

 
ANSI/ASHRAE (2011). Standard 140-2011. Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs. Atlanta: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
 
DK Arasteh, MS Reilly, MD Rubin (1989). A versatile procedure for calculating heat transfer through windows. ASHRAE Transactions, 95(2): 755-765.
Google Scholar
 
A Atzeri, F Cappelletti, A Gasparella (2014). Internal versus external shading devices performance in office buildings. Energy Procedia, 45: 463-472.
Crossref Google Scholar
 
T Avedissian, D Naylor (2008). Free convective heat transfer in an enclosure with an internal louvered blind. International Journal of Heat and Mass Transfer, 51: 283-293.
Crossref Google Scholar
 
D Bastien, AK Athienitis (2012). A control algorithm for optimal energy performance of a solarium/greenhouse with combined interior and exterior motorized shading. Energy Procedia, 30: 995-1005.
Crossref Google Scholar
 
J Breitenbach, S Lart, I Längle, JLJ Rosenfeld (2001). Optical and thermal performance of glazing with integral venetian blinds. Energy and Buildings, 33: 433-442.
Crossref Google Scholar
 
AJ Chapman (1984). Heat Transfer, 4th edn. New York: Macmillan Publishing Company.
 
J Clark, L Peeters, A Novoselac (2013). Experimental study of convective heat transfer from windows with Venetian Blinds. Building and Environment, 59: 690-700.
Crossref Google Scholar
 
M Collins (2004). Convective heat transfer coefficients from an internal window surface and adjacent sunlit Venetian Blind. Energy and Buildings, 36: 309-318.
Crossref Google Scholar
 
DB Crawley, LK Lawrie, FC Winkelmann, WF Buhl, YJ Huang, CO Pedersen, RK Strand, RJ Liesen, DE Fisher, MJ Witte, J Glazer (2001). EnergyPlus: Creating a new-generation building energy simulation program. Energy and Buildings, 33: 319-331.
Crossref Google Scholar
 
MC Dubois (2001). Solar Shading for Low Energy Use and Daylight Quality in Offices. Department of Construction and Architecture, Division of Energy and Building, Lund University, Sweden.
 
M Wall, H Bülow-Hübe (2003). Solar Protection in Buildings Part 2: 2000-2002. Department of Construction and Architecture, Division of Energy and Building, Lund University, Sweden.
 
EU Finlayson, DK Arasteh, C Huizenga, MD Rubin, MS Reilly (1993). WINDOW 4.0: Documentation of calculation procedures. Technical Report LBL-33943, TA-309. Lawrence Berkeley National Laboratory, USA.
Crossref
 
GM Gomes, AJ Santos, MA Rodrigues (2014). Solar and visible optical properties of glazing systems with venetian blinds: Numerical, experimental and blind control study. Building and Environment, 71: 47-59.
Crossref Google Scholar
 
E Gratia, AD Herde (2007). The most efficient position of shading devices in a double-skin facade. Energy and Buildings, 39: 364-373.
Crossref Google Scholar
 
B Hellström, H BKvist, H Håkansson, H Bülow-Hübe (2007). Description of ParaSol v3.0 and comparison with measurements. Energy and Buildings, 39: 279-283.
Crossref Google Scholar
 
RH Henninger, MJ Witte (2013). EnergyPlus Testing with Building Thermal Envelope and Fabric Load Tests from ANSI/ASHRAE Standard 140-2011. U.S. Department of Energy.
 
ISO (2006). ISO 13790:2006, Thermal Performance of Buildings-calculation of Energy Use for Space Heating and Cooling. International Organization for Standardization.
 
EE Lee, DL DiBartolomeo, SE Selkowitz (1998). Thermal and daylighting performance of an automated venetian blind and lighting system in a full-scale private office. Energy and Buildings, 29: 47-63.
Crossref Google Scholar
 
JH Lienhard (1981). A Heat Transfer Textbook. Englewood Cliffs, NJ, USA: Prentice-Hall.
 
PG Loutzenhiser, H Heinrich Manz, S Carl, H Simmler, GM Maxwell (2008). Empirical validations of solar gain models for a glazing unit with exterior and interior blind assemblies. Energy and Buildings, 40: 330-340.
Crossref Google Scholar
 
J Meijer (1980). Reduction of heat losses from greenhouses by means of internal blinds with low thermal emissivity. Journal of Agricultural Engineering Research, 25: 381-390.
Crossref Google Scholar
 
S Olbina, J Hu (2012). Daylighting and thermal performance of automated split-controlled blinds. Building and Environment, 56: 127-138.
Crossref Google Scholar
 
T Rosencrantz (2005). Performance of Energy Efficient Windows and Solar Shading Devices. Department of Construction and Architecture, Division of Energy and Building, Lund University, Sweden.
 
DOE (2013a). EnergyPlus Input Output Reference. The Encyclopedic Reference to EnergyPlus Input and Output. U.S. Department of Energy.
 
DOE (2013b). EnergyPlus Testing with Building Thermal Envelope and Fabric Load Tests from ANSI/ASHRAE Standard 140-2011. U.S. Department of Energy.
 
MK Urbikain, JM Sala (2012). Heat transfer through a double-glazed unit with an internal louvered blind: Determination of the thermal transmittance using a biquadratic equation. International Journal of Heat and Mass Transfer, 55: 1226-1235.
Crossref Google Scholar
 
MJ Witte (2012). Energy Simulation Software Helpdesk. EnergyPlus. Available at http://energyplus.helpserve.com/. Accessed 15 Jun. 2014.
 
J Yao (2014a). An investigation into the impact of movable solar shades on energy, indoor thermal and visual comfort improvements. Building and Environment, 71: 24-32.
Crossref Google Scholar
 
J Yao (2014b). Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis. Applied Energy, 127: 64-80.
Crossref Google Scholar
 
J Yao, DHC Chow, R-Y Zheng, C-W Yan (2015). Occupants' impact on indoor thermal comfort: A co-simulation study on stochastic control of solar shades. Journal of Building Performance Simulation, doi: .
Crossref Google Scholar
 
YK Yi, AM Malkawi (2009). Thermal efficiency of the window shade. In: Proceedings of 11th International IBPSA Building Simulation Conference, Glasgow, UK, pp.1693-1698.
 
YB Yoon, DS Kim, KH Lee (2014). Detailed heat balance analysis of the thermal load variations depending on the blind location and glazing type. Energy and Buildings, 75: 84-95.
Crossref Google Scholar
 
D Zhu, H Hong, D Yan, C Wang (2013). A detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE-2.1E. Building Simulation, 6: 323-335.
Crossref Google Scholar
Building Simulation
Volume 9 Issue 2,
April 2016
Pages 127-139
DOI: 10.1007/s12273-015-0264-1
Cite this article:
Yoon K, Yun G, Soo Kim K. Improvement of thermal performance through window surface with interior blind by analyzing detailed heat transfer. Building Simulation, 2016, 9(2): 127-139. https://doi.org/10.1007/s12273-015-0264-1

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Received: 27 July 2015
Revised: 09 November 2015
Accepted: 13 November 2015
Published: 03 December 2015
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2015
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