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CIE Standard Sky classification by accessible climatic indices

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

Abstract

Solar irradiance and daylight illuminance are essential for solar energy and daylighting designs. Recently, the International Commission of Illuminance (CIE) adopted 15 Standard Skies to represent the possible sky-diffuse luminance and radiance distributions. Such distributions would improve the solar irradiance and daylight illuminance estimations for the building envelope and photovoltaic panels in any directions. The important issue is whether the sky conditions could be correctly identified by the available variables. Previously, many climatic parameters including sky luminance distributions, vertical diffuse irradiance and illuminance were proposed for identifying sky conditions. However, such data may not always be available from the routine measurements of a weather station. This paper proposes an approach to interpreting the sky conditions using the variables that are readily accessible from meteorological stations for many years. The approach appropriately identified 83.2% of the 3 typical overcast, partly cloudy and clear skies, and further 62.7% of the 15 individual CIE Standard Skies for Hong Kong. The %RMSE of the vertical solar irradiance and daylight illuminance estimated by the approach was found less than 23%. The results show that the proposed approach would be reliable for sky classification.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:347-356
    DOI: 10.1016/j.renene.2017.06.013
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    References listed on IDEAS

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    1. 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.
    2. Lima, Francisco J.L. & Martins, Fernando R. & Pereira, Enio B. & Lorenz, Elke & Heinemann, Detlev, 2016. "Forecast for surface solar irradiance at the Brazilian Northeastern region using NWP model and artificial neural networks," Renewable Energy, Elsevier, vol. 87(P1), pages 807-818.
    3. Kittler, R. & Darula, S., 2002. "Parametric definition of the daylight climate," Renewable Energy, Elsevier, vol. 26(2), pages 177-187.
    4. 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.
    5. 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.
    6. Li, Danny H.W. & Lam, Joseph C. & Lau, Chris C.S., 2002. "A new approach for predicting vertical global solar irradiance," Renewable Energy, Elsevier, vol. 25(4), pages 591-606.
    7. Li, Danny H.W. & Cheung, K.L. & Wong, S.L. & Lam, Tony N.T., 2010. "An analysis of energy-efficient light fittings and lighting controls," Applied Energy, Elsevier, vol. 87(2), pages 558-567, February.
    8. 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.
    9. מחקר - ביטוח לאומי, 2006. "Summary for 2005," Working Papers 29, National Insurance Institute of Israel.
    10. Appelbaum, J., 2016. "Bifacial photovoltaic panels field," Renewable Energy, Elsevier, vol. 85(C), pages 338-343.
    11. Ridley, Barbara & Boland, John & Lauret, Philippe, 2010. "Modelling of diffuse solar fraction with multiple predictors," Renewable Energy, Elsevier, vol. 35(2), pages 478-483.
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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. 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.
    3. 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.
    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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