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Technical note

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  • Hussain, M.
  • Rahman, Lutfor
  • Rahman, Md Mohibur

Abstract

Data for 42 stations in different parts of the world in the northern hemisphere have been employed to partition monthly averaged daily global radiation H̄ and sunshine duration n̄ in a bid to obtain improved fits to Angstroms correlation. It has been found that regression fits to the correlation using data for biannual groups of months from March–August (months 3–8) and September–February (months 9–2), or March–September (months 3–9) and October–February (months 10–2), give an improvement in the rms error over the year, which is 25% or higher than the errors for annual fits for half of the cases. In no case is there an increase in rms error from the partitioning.

Suggested Citation

  • Hussain, M. & Rahman, Lutfor & Rahman, Md Mohibur, 1999. "Technical note," Renewable Energy, Elsevier, vol. 18(2), pages 263-275.
    • Handle: RePEc:eee:renene:v:18:y:1999:i:2:p:263-275
    DOI: 10.1016/S0960-1481(98)00772-1
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    References listed on IDEAS

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    1. 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.
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