Optimization of Windows for Daylighting and Energy Consumption for South Facade in Office Building in Hot and Dry Climate of India

  • Nikhil BhandariEmail author
  • A. Meenatchi Sundaram
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 134)


The windows have a great influence on daylighting in the interior of the building and are considered as an important element for energy-efficient buildings. The size of the opening area, its orientation, and shading device affect the inside illumination. This study assesses the relation between heating, cooling, and daylighting and provides solutions for opening in an office building. The study focuses on the effect of changing Window Wall Ratio (WWR), sill level, window height, number of windows, glazing materials, and shading device on daylight in the built environment. The consequences of the two objectives, i.e., daylight and energy consumption are contradictory in terms of openings. Therefore, optimizing the window area is essential in low-energy buildings. Optimization has been done for the south facade by computer-generated models and simulations. This study covers the essential factors of daylight and energy, i.e., daylight autonomy, useful daylight illuminance, daylight uniformity, total load, and optimization of fenestration design.


Window Wall Ratio (WWR) Sill level Window height Number of windows Glazing material Shading device Optimization Daylight autonomy Useful daylight illuminance Daylight uniformity Total load Fenestration design 


  1. 1.
    Lechner, N.: Heating, Cooling, Lighting Sustainable Design Methods for Architects. Wiley, Hoboken, New Jersey (2015)Google Scholar
  2. 2.
    Omari, D.K.A.: The impact of daylight on occupant’s satisfaction: In the Residential apartments of Amman, Jordan. IJAES 11(2), 551–557 (2013)Google Scholar
  3. 3.
    Ministry of Statistics and Programme Implementation:, visited on 2 Aug 2017
  4. 4.
    Centre for Science and Environment:, visited on 30 Aug 2017
  5. 5.
    Ochoa, C.E., Aries, M.B., van Loenen, E.J., Hensen, J.L.: Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort. Appl. Energy 95, 238–245 (2012)CrossRefGoogle Scholar
  6. 6.
    Marino, C., Nucara, A., Pietrafesa, M.: Does window-to-wall ratio have a significant effect on the energy consumption of buildings? A parametric analysis in Italian climate conditions. J. Build. Eng. 13, 169–183 (2017)CrossRefGoogle Scholar
  7. 7.
    Bokel, R.: The effect of window position and window size on the energy demand for heating, cooling and electric lighting. In: IBPSA, The Netherlands (2007)Google Scholar
  8. 8.
    Caldas, L.G., Norford, L.K.: A design optimization tool based on a genetic algorithm. Autom. Constr. 11(2), 173–184 (2002)CrossRefGoogle Scholar
  9. 9.

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.National Institute of TechnologyTiruchirappalliIndia

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