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Window design in architecture: Analysis of energy savings for lighting and visual comfort in residential spaces

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  • Acosta, Ignacio
  • Campano, Miguel Ángel
  • Molina, Juan Francisco

Abstract

Window design is decisive in providing appropriate visual comfort for occupants and sufficient energy savings in electric lighting. In daylighting, visual comfort is dependent on the maximum daylight autonomy. Moreover, energy consumption in electric lighting relies on daylight autonomy. The aim of this research is to quantify these metrics in a residential room for different window models and analyze the results obtained. The surface reflectance and the geometry of the window are variable. DaySim 3.2 lighting program provides the simulations of the room model according to different orientations and weather conditions. Following the trials, it was concluded that daylight autonomy is proportional to the glass surface and reflectance of surfaces at the back of the room, while its influence near the façade is negligible. However, energy consumption does not depend on window shape. It is also concluded that windows located higher up result in higher illuminance at the back of the room than those in centered locations. The conclusions of this research are contrasted with the analysis of daylight metrics for different locations and orientations of the window.

Suggested Citation

  • Acosta, Ignacio & Campano, Miguel Ángel & Molina, Juan Francisco, 2016. "Window design in architecture: Analysis of energy savings for lighting and visual comfort in residential spaces," Applied Energy, Elsevier, vol. 168(C), pages 493-506.
  • Handle: RePEc:eee:appene:v:168:y:2016:i:c:p:493-506
    DOI: 10.1016/j.apenergy.2016.02.005
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    References listed on IDEAS

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    13. Chen, Qian & Oh, Seung Jin & Burhan, Muhammad, 2020. "Design and optimization of a novel electrowetting-driven solar-indoor lighting system," Applied Energy, Elsevier, vol. 269(C).
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    17. Yangjie Shi & Xiaobo Xi & Yifu Zhang & Haiyang Xu & Jianfeng Zhang & Ruihong Zhang, 2021. "Prediction and Analysis of the Thermal Performance of Composite Vacuum Glazing," Energies, MDPI, vol. 14(18), pages 1-15, September.
    18. Simeng Li & Yanqiu Cui & Nerija Banaitienė & Chunlu Liu & Mark B. Luther, 2021. "Sensitivity Analysis for Carbon Emissions of Prefabricated Residential Buildings with Window Design Elements," Energies, MDPI, vol. 14(19), pages 1-25, October.
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