Abstract

Six empirical correlations have been employed to predict monthly mean global solar radiation on a horizontal surface from relative duration of bright sunshine hours for Jaipur (26.92° N, 75.87° E). These correlations are Angstrom-Prescott linear correlation and modified functions such as quadratic, cubic, exponential, logarithmic and power function of relative duration of sunshine hours. Predicted values of monthly mean global solar radiation were compared with observed values using statistical parameters coefficient of determination R 2 , mean bias error MBE and root mean square error RMSE. The cubic correlation has been found to be the best while logarithmic correlation is proved worst for Jaipur. The proposed power correlation shows the values of statistical parameters close to cubic correlation and has a simpler form.

Highlights

  • Knowledge of solar radiation is necessary to decide Intensity of global solar radiation in ranging between 6the design and installation parameters of any solar 6.4 KWH/m2/day in about half of Rajasthan, but literature energy systems at particular place

  • Since solar radiation survey reveals that very few studies have been done measuring instruments have high cost, high maintenance about solar radiation correlations for this region except for and calibration requirement, only scant solar radiation Jodhpur (26.30oN,73.02oE) which is situated in west data is available in India

  • Several radiation (19.42 MJ/m2/day) which is comparable to such attempts have been made earlier e.g. Kasten and annual average of mean daily global solar radiation at Czeplak (1980) have correlated monthly mean global Jodhpur (19.97 MJ/m2/day)

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Summary

Quadratic Cubic Exponential Logarithmic Power

These correlations would be applicable for a number of states receiving high solar potential, in underdeveloped and developing countries having same meteorological and geographical conditions

Data In this study data have been supplied by India
Findings
Logarithmic Power
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