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Solar constant values for estimating solar radiation

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  • Li, Huashan
  • Lian, Yongwang
  • Wang, Xianlong
  • Ma, Weibin
  • Zhao, Liang

Abstract

There are many solar constant values given and adopted by researchers, leading to confusion in estimating solar radiation. In this study, some solar constant values collected from literature for estimating solar radiation with the Ångström–Prescott correlation are tested in China using the measured data between 1971 and 2000. According to the ranking method based on the t-statistic, a strategy to select the best solar constant value for estimating the monthly average daily global solar radiation with the Ångström–Prescott correlation is proposed.

Suggested Citation

  • Li, Huashan & Lian, Yongwang & Wang, Xianlong & Ma, Weibin & Zhao, Liang, 2011. "Solar constant values for estimating solar radiation," Energy, Elsevier, vol. 36(3), pages 1785-1789.
  • Handle: RePEc:eee:energy:v:36:y:2011:i:3:p:1785-1789
    DOI: 10.1016/j.energy.2010.12.050
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    1. Bakirci, Kadir, 2009. "Correlations for estimation of daily global solar radiation with hours of bright sunshine in Turkey," Energy, Elsevier, vol. 34(4), pages 485-501.
    2. Jiang, Yingni, 2009. "Estimation of monthly mean daily diffuse radiation in China," Applied Energy, Elsevier, vol. 86(9), pages 1458-1464, September.
    3. Wan, Kevin K.W. & Tang, H.L. & Yang, Liu & Lam, Joseph C., 2008. "An analysis of thermal and solar zone radiation models using an Angstrom–Prescott equation and artificial neural networks," Energy, Elsevier, vol. 33(7), pages 1115-1127.
    4. Lam, Joseph C. & Wan, Kevin K.W. & Lau, Chris C.S. & Yang, Liu, 2008. "Climatic influences on solar modelling in China," Renewable Energy, Elsevier, vol. 33(7), pages 1591-1604.
    5. Akinoǧlu, B.G., 1991. "A review of sunshine-based models used to estimate monthly average global solar radiation," Renewable Energy, Elsevier, vol. 1(3), pages 479-497.
    6. Moradi, Isaac, 2009. "Quality control of global solar radiation using sunshine duration hours," Energy, Elsevier, vol. 34(1), pages 1-6.
    7. El-Sebaii, A.A. & Al-Hazmi, F.S. & Al-Ghamdi, A.A. & Yaghmour, S.J., 2010. "Global, direct and diffuse solar radiation on horizontal and tilted surfaces in Jeddah, Saudi Arabia," Applied Energy, Elsevier, vol. 87(2), pages 568-576, February.
    8. Tadros, M.T.Y., 2000. "Uses of sunshine duration to estimate the global solar radiation over eight meteorological stations in Egypt," Renewable Energy, Elsevier, vol. 21(2), pages 231-246.
    9. Jacovides, C. P. & Kontoyiannis, H., 1995. "Statistical procedures for the evaluation of evapotranspiration computing models," Agricultural Water Management, Elsevier, vol. 27(3-4), pages 365-371, July.
    10. Pandey, Chanchal Kumar & Katiyar, A.K., 2009. "A note on diffuse solar radiation on a tilted surface," Energy, Elsevier, vol. 34(11), pages 1764-1769.
    11. Sabziparvar, Ali A., 2008. "A simple formula for estimating global solar radiation in central arid deserts of Iran," Renewable Energy, Elsevier, vol. 33(5), pages 1002-1010.
    12. Pandey, Chanchal Kumar & Katiyar, A.K., 2009. "A comparative study to estimate daily diffuse solar radiation over India," Energy, Elsevier, vol. 34(11), pages 1792-1796.
    13. Jiang, Yingni, 2009. "Computation of monthly mean daily global solar radiation in China using artificial neural networks and comparison with other empirical models," Energy, Elsevier, vol. 34(9), pages 1276-1283.
    14. Benghanem, Mohamed & Mellit, Adel, 2010. "Radial Basis Function Network-based prediction of global solar radiation data: Application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia," Energy, Elsevier, vol. 35(9), pages 3751-3762.
    15. Chineke, Theo Chidiezie, 2008. "Equations for estimating global solar radiation in data sparse regions," Renewable Energy, Elsevier, vol. 33(4), pages 827-831.
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