Abstract
Solar shading devices are an integral part of any building enclosure that impacts the building efficiency and indoor environment especially in the hot and humid climates like Florida. In order to design an energy efficient structure, the solar transmittance of the window-shade system needs to be determined in order to calculate how much total solar radiation they transmit. This paper presents the findings of a comparative study for evaluating the effects of different solar shading devices on the solar transmittance properties of windows with different orientations in the city of Miami, Florida. A rectangular office block was modeled and rotated clockwise in 60° interval from North to South to study the variations in the transmission properties of windows. Commercially available shading products were analyzed under three broad categories, i.e. external, interpane and internal and each type was simulated with six different orientations: North (N), Northeast (NE), Southeast (SE), South (S), Southwest (SW), Northwest (NW). The climatic data file was produced by the software METEONORM. The simulation results were compared to determine a performance metric for the primary and the total solar transmittance of each window-shade system. After selecting the most efficient solar devices, a thermal analysis was performed to estimate the reduction in cooling loads generated by improving the internal operative environment.
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References
Apte J, Arasteh D, Huang YJ (2003). Future advanced windows for zero-energy homes. ASHRAE Transactions, 109(2): 871–882.
ASHRAE (2010). Thermal Environmental Conditions for Human Occupancy. ASHRAE Standard 55. Atlanta, GA, USA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
Athienitis AK, Santamouris M (2002). Thermal Analysis and Design of Passive Solar Buildings. London: The Cromwell Press.
Croiset M (1976). Humedad y Temperatura en los Edificios. Barcelona, Spain: Editores Técnicos Asociados. (in Spain)
Deru M, Field K, Studer D, Benne K, Griffith B, Torcellini P (2011). U.S. Department of Energy Commercial Reference Building Models of the National Building Stock. Technical report. NREL/TP-5500-46861, National Renewable Energy Laboratory, USA.
Dubois MC (1997). Solar Shading and Building Energy Use: A Literature Review. Part I. Report TABK—97/3049, Lund Institute of Technology, Sweden.
El-Refaie M (1987). Performance analysis of external shading devices. Building and Environment, 22: 269–284.
Etzion Y (1992). An improved solar shading design tool. Building and Environment, 27: 297–303.
FSEC (2007). Florida Solar Energy Center (FSEC), Available: http://www.fsec.ucf.edu/en/research/buildings/fenestration/index.htm, Accessed 16 Feb. 2012.
FSEC Fenestration Research Program (2007). Florida Solar Energy Center, Fenestration research program. Available: http://www.fsec.ucf.edu/en/research/buildings/fenestration/research.htm. Accessed 25 Apr. 2012.
Givoni B (1981). Man, Climate and Architecture. London: Applied Science Publisher.
Griffith B, Long N, Torcellini P, Judkoff R, Crawley D, Ryan J (2007). Assessment of the Technical Potential for Achieving Net Zero-Energy Buildings in the Commercial Sector. NREL/TP-550-41957, National Renewable Energy Laboratory, USA.
Gupta R, Ralegaonkar R (2006). New static sunshade design for energy-efficient buildings. Journal of Energy Engineering, 132: 27–36.
Haves P, Hitchcock R, Xu P (2007). Assessment of Building Control Systems: Expected Performance Benefits of Integrated Control. Internal LBNL Report, Lawrence Berkeley National Laboratory, USA.
Hiller M, Beckman A, Mitchell W (2000). TRANSHD—A program for shading and insolation calculations. Building and Environment, 35: 633–644.
Hong T, Selkowitz S (2010). Assessment of energy performance of window technologies for commercial buildings. In: Proceedings of ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, USA, pp. 141–153.
Huang M, Yazdanian M (2007). Analysis of Window Energy Savings in Commercial Buildings in the Pacific Northwest. LBNL-60379, Lawrence Berkeley National Laboratory, USA.
ISO 7730 (2005). Ergonomics of the Thermal Environment—Analytical Determination and Interpretation of Thermal Comfort Using Calculation of the PMV and PPD Indices and Local Thermal comfort criteria. Available: http://ntm.ru/UserFiles/File/document/Microklimat/Norm/ISO_7730_2005.pdf. Accessed 25 Apr. 2011.
Kabre C (1999). WINSHADE: A computer design tool for solar control. Building and Environment, 34: 263–274.
Karlsson J, Roos A (2000). Modeling the angular behavior of the total solar energy transmittance of windows. Solar Energy, 69: 321–329.
Lee S, Zhou L, Yazdanian M, Inkarojrit V, Slack J, Rubin M, Selkowitz S (2004). The Energy Savings Potential of Electrochromic Windows in the US Commercial Buildings Sector. LBNL-54966, Lawrence Berkeley National Laboratory, USA.
Noël J (2004). Development of numerical shading device models for the use in building thermal simulation. Report-0402, Lyon, France.
Olgyay V, Olgyay A (1957). Solar Control and Shading Fevices. Princeton, USA: Princeton University Press, 1957.
Parker DS, Fairey PW, Mcllvaine JER (1997). Energy efficient office building design for Florida’s hot and humid climate. ASHRAE Journal, 39(4): 49–57.
PASSYS II (1994). Final report, Commission of the European Communities (CEC).
Wall M, Bülow-Hübe H (2001). Solar Protection in Buildings. Report TABK-01/3060, Lund Institute of Technology, Sweden.
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Raheem, A.A., Issa, R.R. & Olbina, S. Solar transmittance analysis of different types of sunshades in the Florida climate. Build. Simul. 7, 3–11 (2014). https://doi.org/10.1007/s12273-013-0137-4
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DOI: https://doi.org/10.1007/s12273-013-0137-4