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An all-sky luminance and radiance distribution model for built environment studies

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Listed:
  • Lou, Siwei
  • Li, Danny H.W.
  • Alshaibani, Khalid A.
  • Xing, Haowei
  • Li, Zhengrong
  • Huang, Yu
  • Xia, Dawei

Abstract

The diffuse radiance and luminance can be anisotropic over the skydome, which is important to the daylight and thermal environments of buildings and the urban areas. This paper proposes a model that can estimate the luminance and radiance distributions over the skydome by the basic global and diffuse irradiance, and the solar altitude measurements/data that are readily accessible for many places over the world. The radiance and luminance are normalized by the horizontal irradiance and illuminance instead of the uncommon zenith radiance and luminance. The approach is developed and tested by the mid-to long-term (a few months to two years) field measurements of several locations with various climates/latitudes, showing a good accuracy when compared to the reference models.

Suggested Citation

  • Lou, Siwei & Li, Danny H.W. & Alshaibani, Khalid A. & Xing, Haowei & Li, Zhengrong & Huang, Yu & Xia, Dawei, 2022. "An all-sky luminance and radiance distribution model for built environment studies," Renewable Energy, Elsevier, vol. 190(C), pages 822-835.
    • Handle: RePEc:eee:renene:v:190:y:2022:i:c:p:822-835
    DOI: 10.1016/j.renene.2022.03.105
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    References listed on IDEAS

    as
    1. Lou, Siwei & Huang, Yu & Li, Danny H.W. & Xia, Dawei & Zhou, Xiaoqing & Zhao, Yang, 2020. "A novel method for fast sky conditions identification from global solar radiation measurements," Renewable Energy, Elsevier, vol. 161(C), pages 77-90.
    2. Petržala, J. & Kómar, L. & Kocifaj, M., 2017. "An advanced clear-sky model for more accurate irradiance and illuminance predictions for arbitrarily oriented inclined surfaces," Renewable Energy, Elsevier, vol. 106(C), pages 212-221.
    3. Kittler, Richard & Darula, Stanislav, 2016. "Scattered sunlight determining sky luminance patterns," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 575-584.
    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. 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. Chul-Ho Kim & Kang-Soo Kim, 2019. "Development of Sky Luminance and Daylight Illuminance Prediction Methods for Lighting Energy Saving in Office Buildings," Energies, MDPI, vol. 12(4), pages 1-37, February.
    7. Lou, Siwei & Li, Danny H.W. & Lam, Joseph C. & Chan, Wilco W.H., 2016. "Prediction of diffuse solar irradiance using machine learning and multivariable regression," Applied Energy, Elsevier, vol. 181(C), pages 367-374.
    8. Younes, S. & Claywell, R. & Muneer, T., 2005. "Quality control of solar radiation data: Present status and proposed new approaches," Energy, Elsevier, vol. 30(9), pages 1533-1549.
    9. Lou, Siwei & Li, Danny.H.W. & Chen, Wenqiang, 2019. "Identifying overcast, partly cloudy and clear skies by illuminance fluctuations," Renewable Energy, Elsevier, vol. 138(C), pages 198-211.
    10. Lou, Siwei & Li, Danny H.W. & Lam, Joseph C., 2017. "CIE Standard Sky classification by accessible climatic indices," Renewable Energy, Elsevier, vol. 113(C), pages 347-356.
    11. Khalid Alshaibani & Danny Li & Emmanuel Aghimien, 2020. "Sky Luminance Distribution Models: A Comparison with Measurements from a Maritime Desert Region," Energies, MDPI, vol. 13(20), pages 1-12, October.
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