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Sky Luminance Distribution Models: A Comparison with Measurements from a Maritime Desert Region

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  • Khalid Alshaibani

    (College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia)

  • Danny Li

    (Building Energy Research Group, Department of Architecture and Civil Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China)

  • Emmanuel Aghimien

    (Building Energy Research Group, Department of Architecture and Civil Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China)

Abstract

The effective use of daylight is a function of the luminance of the sky exposed to the glazing system. Therefore, accurate data about the luminance distribution of the sky are necessary for the optimum use of daylight. This paper compares seven models for estimating the angular sky luminance distribution. They were selected based on the ability to be used with all sky conditions and to determine the luminance of the sky from solar radiation. Measurements of solar radiation, sky luminance, and sky radiance were taken in a “maritime desert region” in Saudi Arabia. The results showed that the “Perez 93” model performed better than the other models tested, but there is a need for more studies to identify more accurate models for use in similar climatic conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5455-:d:431168
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    References listed on IDEAS

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    1. Alshaibani, K.A., 2017. "Classification Standard Skies: The use of horizontal sky illuminance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 387-392.
    2. Vincenzo Costanzo & Gianpiero Evola & Luigi Marletta & Fabiana Pistone Nascone, 2018. "Application of Climate Based Daylight Modelling to the Refurbishment of a School Building in Sicily," Sustainability, MDPI, vol. 10(8), pages 1-19, July.
    3. Alshaibani, Khalid, 2001. "Potentiality of daylighting in a maritime desert climate: the Eastern coast of Saudi Arabia," Renewable Energy, Elsevier, vol. 23(2), pages 325-331.
    4. Noorian, Ali Mohammad & Moradi, Isaac & Kamali, Gholam Ali, 2008. "Evaluation of 12 models to estimate hourly diffuse irradiation on inclined surfaces," Renewable Energy, Elsevier, vol. 33(6), pages 1406-1412.
    5. 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.
    6. de Simón-Martín, Miguel & Alonso-Tristán, Cristina & Díez-Mediavilla, Montserrat, 2017. "Diffuse solar irradiance estimation on building's façades: Review, classification and benchmarking of 30 models under all sky conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 783-802.
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    Cited by:

    1. Yisen Niu & Ying Su & Ping Tang & Qian Wang & Yong Sun & Jifeng Song, 2025. "Estimation of Solar Irradiance Under Cloudy Weather Based on Solar Radiation Model and Ground-Based Cloud Image," Energies, MDPI, vol. 18(3), pages 1-21, February.
    2. 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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