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Determining solar irradiance on inclined planes from classified CIE (International Commission on Illumination) standard skies

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  • Li, Danny H.W.
  • Lou, Siwei
  • Lam, Joseph C.
  • Wu, Ronald H.T.

Abstract

Solar irradiance data particularly on inclined planes are crucial to solar energy applications and energy-efficient building designs. However, the basic solar data for the planes of interest are not always readily available. Recently, the CIE (International Commission on Illumination) adopted a range of 15 standard skies which provide a good overall framework for representing the actual sky conditions. Each sky represents a unique sky-diffuse distribution. Upon the classification of the standard skies, the solar irradiance data at the plane of interest can be computed. This paper presents a method to estimate the solar irradiance on inclined plane based on the CIE Standard Skies. Data recorded in Hong Kong from the end of February to early June in 2015 were used to validate the calculation procedures. The results show that the approach can accurately estimate solar irradiance on inclined planes.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:101:y:2016:i:c:p:462-470
    DOI: 10.1016/j.energy.2016.02.054
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Mosavi, Amir & Faghan, Yaser & Ghamisi, Pedram & Duan, Puhong & Ardabili, Sina Faizollahzadeh & Hassan, Salwana & Band, Shahab S., 2020. "Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics," OSF Preprints jrc58, Center for Open Science.
    3. 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.

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