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INLUX-DBR – A calculation code to calculate indoor natural illuminance inside buildings under various sky conditions

Author

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  • Ferraro, V.
  • Igawa, N.
  • Marinelli, V.

Abstract

A calculation code, named INLUX-DBR, is presented, which is a modified version of INLUX code, able to predict the illuminance distribution on the inside surfaces of a room with six walls and a window, and on the work plane. At each desired instant the code solves the system of the illuminance equations of each surface element, characterized by the latter’s reflection coefficient and its view factors toward the other elements. In the model implemented in the code, the sky-diffuse luminance distribution, the sun beam light and the light reflected from the ground toward the room are considered.

Suggested Citation

  • Ferraro, V. & Igawa, N. & Marinelli, V., 2010. "INLUX-DBR – A calculation code to calculate indoor natural illuminance inside buildings under various sky conditions," Energy, Elsevier, vol. 35(9), pages 3722-3730.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:9:p:3722-3730
    DOI: 10.1016/j.energy.2010.05.021
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    References listed on IDEAS

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    1. Chirarattananon, Surapong & Chaiwiwatworakul, Pipat, 2007. "Distributions of sky luminance and radiance of North Bangkok under standard distributions," Renewable Energy, Elsevier, vol. 32(8), pages 1328-1345.
    2. De Rosa, A. & Ferraro, V. & Kaliakatsos, D. & Marinelli, V., 2010. "Calculating indoor natural illuminance in overcast sky conditions," Applied Energy, Elsevier, vol. 87(3), pages 806-813, March.
    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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    Cited by:

    1. Ferraro, V. & Mele, M. & Marinelli, V., 2012. "Analysis of sky luminance experimental data and comparison with calculation methods," Energy, Elsevier, vol. 37(1), pages 287-298.
    2. Das, Aparna & Paul, Saikat Kumar, 2015. "Artificial illumination during daytime in residential buildings: Factors, energy implications and future predictions," Applied Energy, Elsevier, vol. 158(C), pages 65-85.

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