A Comparative Study Of Various Sunshine Based Models For Estimating Global Solar Radiation In Zaria, NorthWestern, Nigeria
[Full Text]
AUTHOR(S)
D. O. Akpootu, H. T. Sulu
KEYWORDS
Keywords: global solar radiation, sunshine hours, statistical test, Angstrom model, ZariaNigeria.
ABSTRACT
ABSTRACT: Solar radiation is a primary driver of many physical, chemical and biological processes on the earths surface. In solar applications, one of the most important parameters needed is the long term average daily global solar radiation. For locations where no actual measured values are available, a common practice is to estimate average daily global solar radiation using appropriate empirical correlations based on available measured meteorological data at that location. In this regard, twelve (12) different empirical models based on AngstromPrescott model were selected to estimate the monthly average daily global solar radiation on a horizontal surface for Zaria, Kaduna State, NorthWestern, Nigeria (Latitude 11.060N, Longitude 07.410E and altitude 110.9 m above sea level) during the period of thirty one years (1980 2010) using the measured global solar radiation and sunshine hour. The twelve (12) selected models were compared on the basis of the statistical error tests; Mean Bias Error (MBE), Root Mean Square Error (RMSE), Mean Percentage Error (MPE), t test, and coefficient of correlation (R). Based on the MBE and t test equation 16 is extremely recommended. Based on RMSE equation 15 is extremely recommended and based on MPE equation 13 is extremely recommended. The newly developed regression equations (16, 15 and 13) for estimating global solar radiation in ZariaNigeria are based on the modified sunshine based models of the Ampratwum and Dorvlo, Newland and Ogelman et al. models and are also applicable in estimating global solar radiation in regions with similar climatic information where solar radiation data are not available.
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