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Scattered sunlight determining sky luminance patterns

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  • Kittler, Richard
  • Darula, Stanislav

Abstract

During the first daylight photometry studies in the 18th Century three fundamental source types of daylight were characterised as direct sunlight, clear sky luminance distribution and overcast sky luminance uniformity. For minimum illumination and simplicity the last became the basic state to determine computational methods and practical graphical tools to evaluate daylight distribution especially in poorly naturally lit interiors. The simultaneously present sunlight and skylight under cloudless or cloudy conditions attracted the research of sky luminance distributions caused by the scattering of sunbeams within the atmosphere. The arbitrary real sky luminance patterns influenced by air molecule and aerosol turbidity as well as cloudiness were studied and measured to determine the relatively complex their changes. The historical search after the interrelated definition and mathematical expression of gradation and scattering indicatrix functions is explained in the gradually evolving progress in this paper.

Suggested Citation

  • Kittler, Richard & Darula, Stanislav, 2016. "Scattered sunlight determining sky luminance patterns," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 575-584.
    • Handle: RePEc:eee:rensus:v:62:y:2016:i:c:p:575-584
    DOI: 10.1016/j.rser.2016.05.012
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    Cited by:

    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. 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.
    3. Zhang, Kai & Yu, Jihua & Ren, Yan, 2022. "Research on the size optimization of photovoltaic panels and integrated application with Chinese solar greenhouses," Renewable Energy, Elsevier, vol. 182(C), pages 536-551.
    4. 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.

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