Climatic influences on solar modelling in China

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

27 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1591-1604
Journal / PublicationRenewable Energy
Volume33
Issue number7
Publication statusPublished - Jul 2008

Abstract

Correlation between clearness index and sunshine duration is useful to the estimation of the solar radiation for areas where measured solar radiation data are not available. Regression techniques were used to investigate the correlations between daily global solar radiation and sunshine duration for different climates in China. Measurements made during the 30-year period (1971-2000) from 40 measuring stations covering major thermal and solar climatic zones across China have been gathered and analysed. The correlations were developed for each individual station as well as for each of the major climates. It was found that the Angstrom-Prescott equation tended to give a good estimation of global solar radiation based on the corresponding measured sunshine hours. A simple two-parameter linear regression equation was proposed for each of the major thermal and solar climatic zones. © 2007 Elsevier Ltd. All rights reserved.

Research Area(s)

  • China, Climatic zones, Solar modelling, Sunshine hours

Citation Format(s)

Climatic influences on solar modelling in China. / Lam, Joseph C.; Wan, Kevin K.W.; Lau, Chris C.S.; Yang, Liu.

In: Renewable Energy, Vol. 33, No. 7, 07.2008, p. 1591-1604.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review