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Lighting design in courtyards: Predictive method of daylight factors under overcast sky conditions

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  • Acosta, Ignacio
  • Navarro, Jaime
  • Sendra, Juan José

Abstract

The main aim of this article is to offer a quick and precise predictive method for calculating the daylight factor for different points on the floor of square courtyards under overcast sky conditions. First, the calculation of the predictive method of the sky component is established based on earlier studies and Tregenza algorithms. Subsequently a simulation of the daylight factors on the floor of a courtyard of variable size and reflectance is carried out using two lighting computer programs based on different calculation algorithms. Once the daylight factors are calculated, the reflected component, produced by the reflectance of light on the interior surfaces of the venue, is quantified. Finally, a predictive method of the internally reflected component is established, based on the theory of the integrating sphere. Predictive methods of sky and reflected components are used to determine daylight factors in a courtyard.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:71:y:2014:i:c:p:243-254
    DOI: 10.1016/j.renene.2014.05.020
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    References listed on IDEAS

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    1. Ignacio Acosta & Jaime Navarro & Juan J. Sendra, 2011. "Towards an Analysis of Daylighting Simulation Software," Energies, MDPI, vol. 4(7), pages 1-15, June.
    2. 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.
    3. Li, Danny H. W. & Lau, Chris C. S. & Lam, Joseph C., 2001. "Evaluation of overcast-sky luminance models against measured Hong Kong data," Applied Energy, Elsevier, vol. 70(4), pages 321-331, December.
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    1. 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.
    2. Suk-jin Jung & Seong-hwan Yoon, 2018. "Study on the Prediction and Improvement of Indoor Natural Light and Outdoor Comfort in Apartment Complexes Using Daylight Factor and Physiologically Equivalent Temperature Indices," Energies, MDPI, vol. 11(7), pages 1-19, July.
    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.
    4. 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.
    5. Zamani, Zahra & Heidari, Shahin & Hanachi, Pirouz, 2018. "Reviewing the thermal and microclimatic function of courtyards," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 580-595.
    6. Nasrollahi, Nazanin & Shokri, Elham, 2016. "Daylight illuminance in urban environments for visual comfort and energy performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 861-874.

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