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Estimation of daily diffuse solar radiation in China

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  • Jin, Zhou
  • Yezheng, Wu
  • Gang, Yan

Abstract

Applying the measured global and diffuse solar radiation data from 78 meteorological stations in China, a countrywide general correlation model for calculating the daily diffuse radiation was derived on the basis of Liu and Jordan method. Two widely used statistics: root mean square error and mean bias error were used to assess the performance of the correlation. And the correlation shows good behavior when applied to most of the stations. Subsequently, with the measured data from the 78 stations, an analysis of geographical distribution of solar energy resource in China was also presented in the form of clearness index (the ratio of global solar radiation to extraterrestrial radiation) percentage frequency, and results show that the solar energy resource in western and northern China is relatively abundant.

Suggested Citation

  • Jin, Zhou & Yezheng, Wu & Gang, Yan, 2004. "Estimation of daily diffuse solar radiation in China," Renewable Energy, Elsevier, vol. 29(9), pages 1537-1548.
    • Handle: RePEc:eee:renene:v:29:y:2004:i:9:p:1537-1548
    DOI: 10.1016/j.renene.2004.01.014
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    References listed on IDEAS

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    1. Gopinathan, K.K. & Soler, Alfonso, 1995. "Diffuse radiation models and monthly-average, daily, diffuse data for a wide latitude range," Energy, Elsevier, vol. 20(7), pages 657-667.
    2. Junfeng, Li & Wan, Yih-huei & Ohi, James M., 1997. "Renewable energy development in China: Resource assessment, technology status, and greenhouse gas mitigation potential," Applied Energy, Elsevier, vol. 56(3-4), pages 381-394, March.
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    Cited by:

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    2. Yin, Kaili & Zhang, Xiaojing & Xie, Jingchao & Hao, Ziyang & Xiao, Guofeng & Liu, Jiaping, 2023. "Modeling hourly solar diffuse fraction on a horizontal surface based on sky conditions clustering," Energy, Elsevier, vol. 272(C).
    3. Zhou, Jin & Wu, Yezheng & Yan, Gang, 2006. "Generation of typical solar radiation year for China," Renewable Energy, Elsevier, vol. 31(12), pages 1972-1985.
    4. Jamil, Basharat & Akhtar, Naiem, 2017. "Comparison of empirical models to estimate monthly mean diffuse solar radiation from measured data: Case study for humid-subtropical climatic region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1326-1342.
    5. Jamil, Basharat & Akhtar, Naiem, 2017. "Comparative analysis of diffuse solar radiation models based on sky-clearness index and sunshine period for humid-subtropical climatic region of India: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 329-355.
    6. Chen, Ji-Long & He, Lei & Chen, Qiao & Lv, Ming-Quan & Zhu, Hong-Lin & Wen, Zhao-Fei & Wu, Sheng-Jun, 2019. "Study of monthly mean daily diffuse and direct beam radiation estimation with MODIS atmospheric product," Renewable Energy, Elsevier, vol. 132(C), pages 221-232.
    7. Pucar, Mila & Despic, Aleksandar, 2005. "The effect of diffuse/indirect light on the energy gain of solar thermal collectors," Renewable Energy, Elsevier, vol. 30(11), pages 1749-1758.

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