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Effect of internal woven roller shade and glazing on the energy and daylighting performances of an office building in the cold climate of Shillong

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  • Singh, Ramkishore
  • Lazarus, I.J.
  • Kishore, V.V.N.

Abstract

The energy and visual performances of the façades are defined by many parameters including façade size, properties of glazings and shadings, and their arrangements as well as control strategies. In this study, a number of combinations of internal woven roller shades and four double glazings have been proposed and assessed in integrated manner in order to improve the energy efficiency and visual comfort in new or existing office buildings. Office rooms facing south, east, north and west have been simulated for cold climate, by varying glazed areas and proposed glazing and shading alternatives. Results have been calculated, compared and analyzed in terms of the energy consumptions, energy saving potentials, daylight autonomy, useful daylight illuminance and discomfort glare free time, for each of the combinations. Simulation results show that the choice of glazing and shading alternatives can have substantial impact on energy and visual performances of the office space. Regardless of façade orientation, the maximum energy saving is achieved for a window-to-wall ratio (WWR) of 30%. Saving potential decreases significantly for larger glazed area and for each façade orientation. For all façade orientations and glazed areas (except for 30% WWR in the north wall), a bare low-e coated double glazing (U=1.616W/m2K, SHGC=0.209, τv=0.301) is found to be the most energy efficient choice. For 30% north glazing, the energy efficiency can be maximized with a different bare low-e coated double glazing (U=1.628W/m2K, SHGC=0.370, τv=0.581). Moreover, glare affected time, daylight autonomy and useful daylight illuminance in the office spaces with these glazing choices are estimated ⩾50%, between 46% and 99% and in the range of 53–88% respectively. Also, the visual comfort can further be improved just by deploying even a highly transparent fabric (50% transmittance, 20% reflectance, 45% average openness) as an interior roller shade with these glazing choices.

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  • Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2015. "Effect of internal woven roller shade and glazing on the energy and daylighting performances of an office building in the cold climate of Shillong," Applied Energy, Elsevier, vol. 159(C), pages 317-333.
  • Handle: RePEc:eee:appene:v:159:y:2015:i:c:p:317-333
    DOI: 10.1016/j.apenergy.2015.09.009
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    1. Acosta, Ignacio & Munoz, Carmen & Campano, Miguel Angel & Navarro, Jaime, 2015. "Analysis of daylight factors and energy saving allowed by windows under overcast sky conditions," Renewable Energy, Elsevier, vol. 77(C), pages 194-207.
    2. Omar, E. A. & Al-Ragom, F., 2002. "On the effect of glazing and code compliance," Applied Energy, Elsevier, vol. 71(2), pages 75-86, February.
    3. 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.
    4. Goia, Francesco & Haase, Matthias & Perino, Marco, 2013. "Optimizing the configuration of a façade module for office buildings by means of integrated thermal and lighting simulations in a total energy perspective," Applied Energy, Elsevier, vol. 108(C), pages 515-527.
    5. Ramos, Greici & Ghisi, Enedir, 2010. "Analysis of daylight calculated using the EnergyPlus programme," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1948-1958, September.
    6. Aboulnaga, Mohsen M., 2006. "Towards green buildings: Glass as a building element—the use and misuse in the gulf region," Renewable Energy, Elsevier, vol. 31(5), pages 631-653.
    7. Hee, W.J. & Alghoul, M.A. & Bakhtyar, B. & Elayeb, OmKalthum & Shameri, M.A. & Alrubaih, M.S. & Sopian, K., 2015. "The role of window glazing on daylighting and energy saving in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 323-343.
    8. Li, Danny H.W. & Cheung, K.L. & Wong, S.L. & Lam, Tony N.T., 2010. "An analysis of energy-efficient light fittings and lighting controls," Applied Energy, Elsevier, vol. 87(2), pages 558-567, February.
    9. Yao, Jian, 2014. "Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis," Applied Energy, Elsevier, vol. 127(C), pages 64-80.
    10. 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.
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    Cited by:

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    3. Sun, Yanyi & Liang, Runqi & Wu, Yupeng & Wilson, Robin & Rutherford, Peter, 2017. "Development of a comprehensive method to analyse glazing systems with Parallel Slat Transparent Insulation material (PS-TIM)," Applied Energy, Elsevier, vol. 205(C), pages 951-963.
    4. Kunwar, Niraj & Cetin, Kristen S. & Passe, Ulrike & Zhou, Xiaohui & Li, Yunhua, 2020. "Energy savings and daylighting evaluation of dynamic venetian blinds and lighting through full-scale experimental testing," Energy, Elsevier, vol. 197(C).
    5. Ramkishore Singh & Dharam Buddhi & Samar Thapa & Chander Prakash & Rajesh Singh & Atul Sharma & Shane Sheoran & Kuldeep Kumar Saxena, 2022. "Sensitivity Analysis for Decisive Design Parameters for Energy and Indoor Visual Performances of a Glazed Façade Office Building," Sustainability, MDPI, vol. 14(21), pages 1-27, October.
    6. Xue, Peng & Li, Qian & Xie, Jingchao & Zhao, Mengjing & Liu, Jiaping, 2019. "Optimization of window-to-wall ratio with sunshades in China low latitude region considering daylighting and energy saving requirements," Applied Energy, Elsevier, vol. 233, pages 62-70.
    7. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2016. "Uncertainty and sensitivity analyses of energy and visual performances of office building with external venetian blind shading in hot-dry climate," Applied Energy, Elsevier, vol. 184(C), pages 155-170.

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