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Energy efficiency and lighting design in courtyards and atriums: A predictive method for daylight factors

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  • Acosta, Ignacio
  • Varela, Carmen
  • Molina, Juan Francisco
  • Navarro, Jaime
  • Sendra, Juan José

Abstract

The proper design of courtyards and atriums is key in providing sufficient daylight inside buildings as well as major energy savings in electric lighting. Although a suitable design requires calculations using lighting simulation software or complex algorithms, architects lack a quick and precise procedure to determine proper design. The aim of this research is therefore to offer a fast accurate method for determining the daylight factor for different points on a rectangular courtyard or the central space of an atrium, based on the variable geometry and reflectance of the inner surfaces. Firstly, daylight factors are defined using measurements in scale models in an artificial sky and values obtained in real courtyards under real overcast skies. The sky component is subsequently defined based on earlier studies and Tregenza algorithms in order to quantify the reflected component. Following the curve fitting process, a predictive method of daylight factors is defined and compared with the previous measures. The comparison demonstrates that the predictive method offers an average accuracy of over 90% based on a quick and easy calculation. Finally, the energy saving in electric lighting is quantified following the predictive method established.

Suggested Citation

  • Acosta, Ignacio & Varela, Carmen & Molina, Juan Francisco & Navarro, Jaime & Sendra, Juan José, 2018. "Energy efficiency and lighting design in courtyards and atriums: A predictive method for daylight factors," Applied Energy, Elsevier, vol. 211(C), pages 1216-1228.
    • Handle: RePEc:eee:appene:v:211:y:2018:i:c:p:1216-1228
    DOI: 10.1016/j.apenergy.2017.11.104
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    References listed on IDEAS

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    1. Acosta, Ignacio & Navarro, Jaime & Sendra, Juan José, 2014. "Lighting design in courtyards: Predictive method of daylight factors under overcast sky conditions," Renewable Energy, Elsevier, vol. 71(C), pages 243-254.
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    7. Chow, Stanley K.H. & Li, Danny H.W. & Lee, Eric W.M. & Lam, Joseph C., 2013. "Analysis and prediction of daylighting and energy performance in atrium spaces using daylight-linked lighting controls," Applied Energy, Elsevier, vol. 112(C), pages 1016-1024.
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    Cited by:

    1. Yibing Xue & Wenhan Liu, 2022. "A Study on Parametric Design Method for Optimization of Daylight in Commercial Building’s Atrium in Cold Regions," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
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    3. Alejandra Susa-Páez & María Beatriz Piderit-Moreno, 2020. "Geometric Optimization of Atriums with Natural Lighting Potential for Detached High-Rise Buildings," Sustainability, MDPI, vol. 12(16), pages 1-40, August.

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