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A new anisotropic solar radiation model based on the principle of photothermal integration

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Listed:
  • Yao, Wanxiang
  • Song, Mengjia
  • Huang, Yu
  • Xu, Puyan
  • Li, Xianli
  • Su, Gang
  • Gao, Weijun

Abstract

The distribution of solar radiation on the sky is a research difficulty in the field of solar energy. In this paper, based on the CIE standard and the principle of photothermal integration, a new anisotropic solar radiation model is established, which can estimate the solar radiation received by the horizontal surface and the inclined surface at different inclination angles. First, a system of 15 sky types describing the radiation distribution is proposed according to the CIE standard, and the results show that the proportions of overcast days, cloudy days and sunny days for 28.14%, 34.24% and 37.62%, respectively. Second, the relative solar radiation and relative sky luminance are categorized according to the classified sky types, and the polynomial function relationship between them is established. Combined with the CIE sky luminance model, a new anisotropic solar radiation model (CIE-NASR model) under different sky types was established. Finally, the CIE-NASR model and the existing models were compared. The results show that the CIE-NASR model outperforms the existing model in terms of model accuracy at 30°, 45° and 60°. The results of this research provide a more theoretical for the method application of solar photovoltaics.

Suggested Citation

  • Yao, Wanxiang & Song, Mengjia & Huang, Yu & Xu, Puyan & Li, Xianli & Su, Gang & Gao, Weijun, 2024. "A new anisotropic solar radiation model based on the principle of photothermal integration," Renewable Energy, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:renene:v:226:y:2024:i:c:s0960148124005019
    DOI: 10.1016/j.renene.2024.120436
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    References listed on IDEAS

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    1. Khalil, Hafiz Bilal & Zaidi, Syed Jawad Hussain, 2014. "Energy crisis and potential of solar energy in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 194-201.
    2. Mettanant, Vichuda & Chaiwiwatworakul, Pipat & Chirarattananon, Surapong, 2017. "A model of Thai’s sky luminance distribution based on reduced CIE standard sky types," Renewable Energy, Elsevier, vol. 103(C), pages 739-749.
    3. Elagib, N.a. & Alvi, S.H. & Mansell, M.G., 1999. "Correlationships between clearness index and relative sunshine duration for Sudan," Renewable Energy, Elsevier, vol. 17(4), pages 473-498.
    4. Zhao, Qun & Yao, Wanxiang & Zhang, Chunxiao & Wang, Xiao & Wang, Yan, 2019. "Study on the influence of fog and haze on solar radiation based on scattering-weakening effect," Renewable Energy, Elsevier, vol. 134(C), pages 178-185.
    5. Hay, John E., 1993. "Calculating solar radiation for inclined surfaces: Practical approaches," Renewable Energy, Elsevier, vol. 3(4), pages 373-380.
    6. Yao, Wanxiang & Zhang, Chunxiao & Hao, Haodong & Wang, Xiao & Li, Xianli, 2018. "A support vector machine approach to estimate global solar radiation with the influence of fog and haze," Renewable Energy, Elsevier, vol. 128(PA), pages 155-162.
    7. Kocifaj, Miroslav & Kómar, Ladislav, 2016. "Modeling diffuse irradiance under arbitrary and homogeneous skies: Comparison and validation," Applied Energy, Elsevier, vol. 166(C), pages 117-127.
    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. Yao, Wanxiang & Zhang, Kang & Cao, Weixue & Li, Xianli & Wang, Yan & Wang, Xiao, 2022. "Research on the correlation between solar radiation and sky luminance based on the principle of photothermal integration," Renewable Energy, Elsevier, vol. 194(C), pages 1326-1342.
    10. Islam, Md. Shafiqul & Al-Amin, Abul Quasem & Sarkar, Md. Sujahangir Kabir, 2021. "Energy crisis in Bangladesh: Challenges, progress, and prospects for alternative energy resources," Utilities Policy, Elsevier, vol. 71(C).
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