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Calculating indoor natural illuminance in overcast sky conditions

Author

Listed:
  • De Rosa, A.
  • Ferraro, V.
  • Kaliakatsos, D.
  • Marinelli, V.

Abstract

The work shows how natural illuminance values inside buildings depend on the calculation method of the sky luminance distribution implemented in the computer code which, for a room of fixed geometry and characteristics, transforms the outdoor meteorological data into indoor illuminance data. By means of the INLUX calculation code, experimentally validated, 12 different calculation methods of sky luminance distribution were compared, sometimes obtaining strong differences among the calculated values of indoor illuminance. The choice of some methods instead of others depends on the meteorological data available in the place considered. Comparing the calculated illuminances with the experimental values measured inside a scale model (1:5), located outdoors in Osaka (Japan), and exposed to daylight, the best calculation methods, among those considered, of sky luminance under overcast sky conditions were identified.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:3:p:806-813
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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. 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.
    3. Soler, A & Gopinathan, K.K & Claros, S.T, 2001. "A study on zenith luminance on Madrid overcast skies," Renewable Energy, Elsevier, vol. 23(1), pages 49-55.
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    Cited by:

    1. Janjai, Serm & Plaon, Piyanuch, 2011. "Estimation of sky luminance in the tropics using artificial neural networks: Modeling and performance comparison with the CIE model," Applied Energy, Elsevier, vol. 88(3), pages 840-847, March.
    2. Chel, Arvind & Tiwari, G.N. & Singh, H.N., 2010. "A modified model for estimation of daylight factor for skylight integrated with dome roof structure of mud-house in New Delhi (India)," Applied Energy, Elsevier, vol. 87(10), pages 3037-3050, October.
    3. 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.
    4. 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.
    5. 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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