Quoted from: Akinolu B G , Ecevit A . A further comparison and discussion of sunshine-based models to estimate global solar radiation[J]. Energy, 1990, 15(10):865-872.https://www.sci-hub.ren/10.1016/0360-5442(90)90068-d
In this paper, five sunshine-based correlations, namely, Benson et al, Gopinathan, gelman et al, Zabara and our new quadratic correlation are evaluated in terms of predictive accuracy. The data for 67 stations, ranging in altitude between 3 and 2210 m and in latitude between 20.15 °S and 53.30 °N, have been used. The new solar constant 1367 W m 2 is used in the analysis. The overall results show that the correlations of Benson et al and Gopinathan fall in the second rank and that the difference in estimation errors for the other three is negligibly small. Use of the new quadratic correlation is proposed because of its relatively wider spectrum of values for a and b.
INTRODUCTION
Estimation of the monthly-average, daily, global solar radiation is important for solar-energy applications. Using this radiation, we may calculate the amount of radiation on a daily or hourly basis on tilted surfaces when the long-term performance of a solar system is to be evaluated. For these estimations, sunshine-based models seem to yield relatively good estimates.
A new quadratic correlation for estimation of the monthly-average, daily, global solar radiation has been developed by us and compared16 with the correlations of Rietveld, Benson et al, Ggelman et al,and Gopinathan. lo The overall results show that our new quadratic correlation and the quadratic correlation of dgelman et all4 are superior in terms of global applicability.
In this paper, the best five sunshine-based models are compared with a new data set, which is obtained by combining some data from the data set of Ref. with data found in the literature. The altitude and latitude variations of the data set refer to 3-2210m and 20.15°S-53.3°N,respectively.
Akinoğlu and Ecevit suggested the secondorder polynomials to estimate the global solar radiation for Turkey:
\( H/H_0 =0.145+0.845S/S_0 −0.280(S/S0) ^2. \)