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Predicting daylight illuminance on inclined surfaces using sky luminance data

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  • Li, Danny H.W.
  • Lau, Chris C.S.
  • Lam, Joseph C.

Abstract

Daylight illuminance, particularly on vertical surfaces, plays a major role in determining and evaluating the daylighting performance of a building. In many parts of the world, however, the basic daylight illuminance data for various vertical planes are not always readily available. The usual method to obtain diffuse illuminance on tilted planes would be based on inclined surfaces models using data from the horizontal measurements. Alternatively, the diffuse illuminance on a sloping plane can be computed by integrating the luminance distribution of the sky ‘seen’ by the plane. This paper presents an approach to estimate the vertical outdoor illuminance from sky luminance data and solar geometry. Sky luminance data recorded from January 1999 to December 2001 in Hong Kong and generated by two well-known sky luminance models (Kittler and Perez) were used to compute the outdoor illuminance for the four principal vertical planes (N, E, S and W). The performance of this approach was evaluated against data measured in the same period. Statistical analysis indicated that using sky luminance distributions to predict outdoor illuminance can give reasonably good agreement with measured data for all vertical surfaces. The findings provide an accurate alternative to determine the amount of daylight on vertical as well as other inclined surfaces when sky luminance data are available.

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  • Li, Danny H.W. & Lau, Chris C.S. & Lam, Joseph C., 2005. "Predicting daylight illuminance on inclined surfaces using sky luminance data," Energy, Elsevier, vol. 30(9), pages 1649-1665.
    • Handle: RePEc:eee:energy:v:30:y:2005:i:9:p:1649-1665
    DOI: 10.1016/j.energy.2004.04.038
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    References listed on IDEAS

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    1. Li, D.H.W & Lam, J.C & Wong, S.L, 2002. "Daylighting and its implications to overall thermal transfer value (OTTV) determinations," Energy, Elsevier, vol. 27(11), pages 991-1008.
    2. Vartiainen, Eero, 2000. "A new approach to estimating the diffuse irradiance on inclined surfaces," Renewable Energy, Elsevier, vol. 20(1), pages 45-64.
    3. Li, Danny H.W & Lam, Joseph C, 2000. "Measurements of solar radiation and illuminance on vertical surfaces and daylighting implications," Renewable Energy, Elsevier, vol. 20(4), pages 389-404.
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    1. Li, Danny H.W. & Lou, Siwei, 2018. "Review of solar irradiance and daylight illuminance modeling and sky classification," Renewable Energy, Elsevier, vol. 126(C), pages 445-453.
    2. Singh, M.C. & Garg, S.N., 2010. "Illuminance estimation and daylighting energy savings for Indian regions," Renewable Energy, Elsevier, vol. 35(3), pages 703-711.
    3. Kocifaj, Miroslav & Kómar, Ladislav, 2016. "Modeling diffuse irradiance under arbitrary and homogeneous skies: Comparison and validation," Applied Energy, Elsevier, vol. 166(C), pages 117-127.
    4. Li, Danny H.W. & Lou, Siwei & Lam, Joseph C. & Wu, Ronald H.T., 2016. "Determining solar irradiance on inclined planes from classified CIE (International Commission on Illumination) standard skies," Energy, Elsevier, vol. 101(C), pages 462-470.
    5. Su-In Yun & Kang-Soo Kim, 2018. "Sky Luminance Measurements Using CCD Camera and Comparisons with Calculation Models for Predicting Indoor Illuminance," Sustainability, MDPI, vol. 10(5), pages 1-29, May.
    6. Li, Danny H.W. & Lam, Tony N.T. & Chan, Wilco W.H. & Mak, Ada H.L., 2009. "Energy and cost analysis of semi-transparent photovoltaic in office buildings," Applied Energy, Elsevier, vol. 86(5), pages 722-729, May.
    7. Li, Danny H.W., 2010. "A review of daylight illuminance determinations and energy implications," Applied Energy, Elsevier, vol. 87(7), pages 2109-2118, July.
    8. Li, Danny H.W. & Lam, Tony N.T. & Cheung, K.L. & Tang, H.L., 2008. "An analysis of luminous efficacies under the CIE standard skies," Renewable Energy, Elsevier, vol. 33(11), pages 2357-2365.
    9. Cuce, Erdem & Riffat, Saffa B., 2015. "A state-of-the-art review on innovative glazing technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 695-714.
    10. Mavromatidis, Lazaros Elias & Marsault, Xavier & Lequay, Hervé, 2014. "Daylight factor estimation at an early design stage to reduce buildings' energy consumption due to artificial lighting: A numerical approach based on Doehlert and Box–Behnken designs," Energy, Elsevier, vol. 65(C), pages 488-502.
    11. Notton, Gilles & Paoli, Christophe & Vasileva, Siyana & Nivet, Marie Laure & Canaletti, Jean-Louis & Cristofari, Christian, 2012. "Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks," Energy, Elsevier, vol. 39(1), pages 166-179.
    12. Dahmani, Kahina & Dizene, Rabah & Notton, Gilles & Paoli, Christophe & Voyant, Cyril & Nivet, Marie Laure, 2014. "Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model," Energy, Elsevier, vol. 70(C), pages 374-381.
    13. Ma, Zhenjun & Wang, Shengwei, 2009. "Building energy research in Hong Kong: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1870-1883, October.
    14. Li, Danny H.W. & Chau, T.C. & Wan, Kevin K.W., 2014. "A review of the CIE general sky classification approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 563-574.
    15. Li, Danny H.W. & Chau, Natalie T.C. & Wan, Kevin K.W., 2013. "Predicting daylight illuminance and solar irradiance on vertical surfaces based on classified standard skies," Energy, Elsevier, vol. 53(C), pages 252-258.
    16. 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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