Identifying the Best Global Solar Radiation Model for Hutat Suder, Saudi Arabia

Authors: H. Al-Sholigom, Z. Al-Mostafa

Abstract:

Many associations and experimental models have been developed to estimate solar radiation around the world. The duration of sunshine is the most commonly used parameter for estimating global solar radiation because it can be easily and reliably measured. To estimate the global monthly solar average on horizontal surfaces, we used 52 models with widely available data in Hutat Suder, Saudi Arabia. After testing the models, some were not suitable for use in this area, while others differed in performance. The best models have been identified.

Keywords: Earth, Global solar radiation, Hutat Suder, Saudi Arabia, sunshine, measured data.

References:

[1] Angstrom A. Solar and terrestrial radiation. Quart J Roy Met Soc 1924;50:121–5.
[2] Duzen H, Aydin H. Sunshine-based estimation of global solar radiation on horizontal surface at Lake Van region (Turkey). Energy Convers Manage 2012;58:35–46.
[3] Gopinathan KK. A general formula for computing the coefficients of the correlations connecting global solar radiation to sunshine duration. Sol Energy 1988;41:499–502.
[4] Bakirci K. Models of solar radiation with hours of bright sunshine: a review. Renew Sustain Energy Rev 2009;13:2580–8.
[5] Al-Mostafa ZA, Maghrabi AH, Alshehri SM. Assessment of sunshine-based global radiation models using data measured in Riyadh, Saudi Arabia. J Energy Inst 2012;85:114–21.
[6] Bakirci K. Models of solar radiation with hours of bright sunshine: a review. Renew Sustain Energy Rev 2009;13:2580–8.
[7] Tahran S, Sar A. Model selection for global and diffuse radiation over the Central Black Sea (CBS) region of Turkey. Energy Convers Manage 2005;46:605–13.
[8] Aras H, Balli O, Hepbasli A. Global solar radiation potential. Part 1. Model development. Energy Sources B 2006;1:303–15.
[9] Ahmad F, Ulfat I. Empirical models for the correlation of monthly average daily global solar radiation with hours of sunshine on a horizontal surface at Karachi, Pakistan. Turk J Phys 2004;28:301–7.
[10] Almorox J, Hontoria C. Global solar radiation estimation using sunshine duration in Spain. Energy Convers Manage 2004;45:1529–35.
[11] Ulgen K, Hepbasli A. Solar radiation models. Part 2: Comparison and developing new models. Energy Sources 2004;26:521–30.
[12] Akpabio LE, Etuk SE. Relationship between global solar radiation and sunshine duration for Onne, Nigeria. Turk J Phys 2003;27:161–7.
[13] Togrul IT, Togrul H. Global solar radiation over Turkey: comparison of predicted and measured data. Renew Energy 2002;25:55–67.
[14] Ulgen K, Hepbasli A. Comparison of solar radiation correlations for Izmir, Turkey. Int J Energy Res 2002;26:413–30.
[15] Chegaar M, Chibani A. Global solar radiation estimation in Algeria. Energy Convers Manage 2001;42:967–73.
[16] Ertekin C, Yaldiz O. Comparison of some existing models for estimating global solar radiation for Antalya (Turkey). Energy Convers Manage 2000;41:311–30.
[17] Ulgen K, Ozbalta N. Measured and estimated global radiation on horizontal surface for Bornova, Izmir. In: Proceedings of the XIIth national thermal science and technical congress. Izmit, Turkey; 2000, p. 113–18 (in Turkish).
[18] Said R, Mansor M, Abuain T. Estimation of global and diffuse radiation at Tripoli. Renew Energy 1998;14:221–7.
[19] Aksoy B. Estimated monthly average global radiation for Turkey and its comparison with observations. Renew Energy 1997;10:625–33.
[20] Tiris M, Tiris C, Ture IE. Correlations of monthly-average daily global, diffuse and beam radiations with hours of bright sunshine in Gebze, Turkey. Energy Convers Manage 1996;37:1417–21.
[21] Veeran PK, Kumar S. Analysis of monthly average daily global radiation and monthly average sunshine duration at two tropical locations. Renew Energy 1993;3:935–9.
[22] Gopinathan KK, Soler A. A sunshine dependent global insolation model for latitudes between 60N and 70N. Renew Energy 1992;2:401–4.
[23] Lewis G. An empirical relation for estimating global irradiation for Tennessee, USA. Energy Convers Manage 1992;33:1097–9.
[24] Tasdemiroglu E, Sever R. An improved correlation for estimating solar radiation from bright sunshine data for Turkey. Energy Convers Manage 1991;31:599–600.
[25] Samuel TDMA. Estimation of global radiation for Sri Lanka. Sol Energy 1991;47:333–7.
[26] Jain PC. A model for diffuse and global irradiation on horizontal surface. Sol Energy 1990;45:301–8.
[27] Raja IA, Twidell JW. Distribution of global insolation over Pakistan. Sol Energy 1990;44:63–71.
[28] Raja IA, Twidell JW. Diurnal variation of global insolation over ve locations in Pakistan. Sol Energy 1990;44:73–6.
[29] Luhanga PVC, Andringa J. Characteristic of solar radiation at Sebele, Gaborone, Botswana. Sol Energy 1990;44:71–81.
[30] Jain S, Jain PC. A comparison of the Angstrm-type correlations and the estimation of monthly average daily global irradiation. Sol Energy 1988;40:93–8.
[31] Ogelman H, Ecevit A, Tasdemiroglu E. A new method for estimating solar radiation from bright sunshine data. Sol Energy 1984;33:619–25.
[32] Benson RB, Paris MV, Sherry JE, Justus CG. Estimation of daily and monthly direct diffuse and global solar radiation from sunshine duration measurements. Sol Energy 1984;32:523–35.
[33] Kholagi A, Ramadan MRI, Ali ZEH, Fattah YA. Global and diffuse solar irradiance in Yemen (Y.A.R). Sol Energy 1983;31:55–62.
[34] Saudi Arabian National Center for Science and Technology (SANCST). Saudi Arabian Solar Radiation Atlas; 1983.
[35] Ulgen K, Hepbasli A. Diffuse solar radiation estimation models for Turkeys big cities. Energy Convers Manage 2009;50:149–56.
[36] Stone RJ. Improved statistical procedure for the evaluation of solar radiation estimation models. Sol Energy 1993;514:288–91.
[37] Elagib NA, Alvi SH, Mansell MG. Correlations between clearness index and relative sunshine duration for Sudan. Renew Energy 1999;7:473–98.
[38] Willmott, Cort J.; Matsuura, Kenji (December 19, 2005). "Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance". Climate Research. 30: 79–82.