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Review of simulation modeling for shading devices in buildings

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  • Kirimtat, Ayca
  • Koyunbaba, Basak Kundakci
  • Chatzikonstantinou, Ioannis
  • Sariyildiz, Sevil

Abstract

Many countries around the world are confronted with the challenge of decreasing energy consumption, while the use of electrical appliances is continuously increasing in buildings. The requirement to minimize the energy consumption can be fulfilled by revaluating architectural aspects. One of these aspects is related to overheating problems, caused by facades with large, glazed portions. In such designs, shading elements must carefully be integrated and considered at an early-design stage in the design process. Shading of buildings is crucial especially in climates with hot summer. It is significant to protect the window from solar radiation in summer while allowing maximum solar radiation in winter. For this reason, precise figures of their performance are needed. As such, simulation tools are often used for identifying the most suitable shading element that suits the building.

Suggested Citation

  • Kirimtat, Ayca & Koyunbaba, Basak Kundakci & Chatzikonstantinou, Ioannis & Sariyildiz, Sevil, 2016. "Review of simulation modeling for shading devices in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 23-49.
  • Handle: RePEc:eee:rensus:v:53:y:2016:i:c:p:23-49
    DOI: 10.1016/j.rser.2015.08.020
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    References listed on IDEAS

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    1. Tian, Cheng & Chen, Tingyao & Chung, Tse-ming, 2014. "Experimental and simulating examination of computer tools, Radlink and DOE2, for daylighting and energy simulation with venetian blinds," Applied Energy, Elsevier, vol. 124(C), pages 130-139.
    2. Palmero-Marrero, Ana I. & Oliveira, Armando C., 2010. "Effect of louver shading devices on building energy requirements," Applied Energy, Elsevier, vol. 87(6), pages 2040-2049, June.
    3. Cho, Sung-Hwan & Shin, Kee-Shik & Zaheer-Uddin, M., 1995. "The effect of slat angle of windows with venetian blinds on heating and cooling loads of buildings in South Korea," Energy, Elsevier, vol. 20(12), pages 1225-1236.
    4. Florides, G.A & Kalogirou, S.A & Tassou, S.A & Wrobel, L.C, 2000. "Modeling of the modern houses of Cyprus and energy consumption analysis," Energy, Elsevier, vol. 25(10), pages 915-937.
    5. Datta, Gouri, 2001. "Effect of fixed horizontal louver shading devices on thermal perfomance of building by TRNSYS simulation," Renewable Energy, Elsevier, vol. 23(3), pages 497-507.
    6. tim johnson & Glenn Adelson & Bouffard A, 2014. "My Title," Working Paper 185881, Harvard University OpenScholar.
    7. Liu, Mingzhe & Wittchen, Kim Bjarne & Heiselberg, Per Kvols, 2015. "Control strategies for intelligent glazed façade and their influence on energy and comfort performance of office buildings in Denmark," Applied Energy, Elsevier, vol. 145(C), pages 43-51.
    8. Loutzenhiser, Peter G. & Maxwell, Gregory M. & Manz, Heinrich, 2007. "An empirical validation of the daylighting algorithms and associated interactions in building energy simulation programs using various shading devices and windows," Energy, Elsevier, vol. 32(10), pages 1855-1870.
    Full references (including those not matched with items on IDEAS)

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