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Comparison of radiosity and ray-tracing techniques with a practical design procedure for the prediction of daylight levels in atria

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  • Tsangrassoulis, Aris
  • Bourdakis, Vassilis

Abstract

Designers are often facing prescribed requirements concerning daylight in atria. For the accurate prediction of the illuminances the designers should employ either computer simulations or apply empirical equations. This study compares results obtained by a practical design procedure and simulated results using Radiance and Lightscape 3.2.

Suggested Citation

  • Tsangrassoulis, Aris & Bourdakis, Vassilis, 2003. "Comparison of radiosity and ray-tracing techniques with a practical design procedure for the prediction of daylight levels in atria," Renewable Energy, Elsevier, vol. 28(13), pages 2157-2162.
    • Handle: RePEc:eee:renene:v:28:y:2003:i:13:p:2157-2162
    DOI: 10.1016/S0960-1481(03)00078-8
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    Citations

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    Cited by:

    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.
    2. 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.
    3. Gago, E.J. & Muneer, T. & Knez, M. & Köster, H., 2015. "Natural light controls and guides in buildings. Energy saving for electrical lighting, reduction of cooling load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1-13.
    4. Sun, Yanyi & Wu, Yupeng & Wilson, Robin, 2018. "A review of thermal and optical characterisation of complex window systems and their building performance prediction," Applied Energy, Elsevier, vol. 222(C), pages 729-747.
    5. Yeo Beom Yoon & Woo Ram Jeong & Kwang Ho Lee, 2014. "Window Material Daylighting Performance Assessment Algorithm: Comparing Radiosity and Split-Flux Methods," Energies, MDPI, vol. 7(4), pages 1-15, April.
    6. Yeo Beom Yoon & Rashmi Manandhar & Kwang Ho Lee, 2014. "Comparative Study of Two Daylighting Analysis Methods with Regard to Window Orientation and Interior Wall Reflectance," Energies, MDPI, vol. 7(9), pages 1-22, September.
    7. Bustamante, Waldo & Uribe, Daniel & Vera, Sergio & Molina, Germán, 2017. "An integrated thermal and lighting simulation tool to support the design process of complex fenestration systems for office buildings," Applied Energy, Elsevier, vol. 198(C), pages 36-48.
    8. Freewan, Ahmed A. & Shao, Li & Riffat, Saffa, 2009. "Interactions between louvers and ceiling geometry for maximum daylighting performance," Renewable Energy, Elsevier, vol. 34(1), pages 223-232.

    More about this item

    Keywords

    Daylight; Algorithms; Atria;
    All these keywords.

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