American Journal of Renewable and Sustainable Energy
Articles Information
American Journal of Renewable and Sustainable Energy, Vol.3, No.2, Mar. 2017, Pub. Date: Aug. 8, 2017
Estimation of Global Solar Radiation Using Sunshine and Temperature Based Models for Oko Town in Anambra State, Nigeria
Pages: 8-14 Views: 1714 Downloads: 510
Authors
[01] H. O. Nnabuenyi, Department of Science Laboratory, Federal Polytechniques, Oko, Anambra State, Nigeria.
[02] L. N. Okoli, Department of Industrial Physics, Legacy University Okija, Ihiala, Nigeria.
[03] F. C. Nwosu, Department of Electrical/ Electronics Engineering, Federal Polytechniques, Oko, Anambra State, Nigeria.
[04] G. Ibe, Department of Science Laboratory, Federal Polytechniques, Oko, Anambra State, Nigeria.
Abstract
This study used monthly mean daily values of global solar radiation, sunshine duration, maximum temperature, minimum temperature, average temperature of Oko, Nigeria with latitude and longitude (6.05 ͦ N and 7.05 ͦ E) gotten from the archive National Aeronautic Space Administration (NASA). These data were used to develop empirical correlation equations for the estimation of global solar radiation at the site mentioned above. This research presents the comparison between the observed and the predicted values under different geographical and varied meteorological conditions. The comparisons are made using standard statistical tests, namely mean bias error (MBE), root mean square error (RMSE), mean percentage error (MPE) and coefficient of residual mass (CRM). From the result of the statistical analysis, the sunshine and temperature based models proposed for Oko town correlate well with the measured value of the global solar radiation from NASA.
Keywords
Solar Energy, Relative Sunshine Duration, Temperature, Clearness Index, Regression Constants
References
[01] Banjade D., Poudyal K. N., Daponte P., Rapuano S. and Vito L. di, (2010), Estimation of Global Solar Radiation using Empirical Models at Benevento, Italy, National Seminar on Power and Communication Sectors Development (PCSD), Kathmandu, Nepal, 41-44.
[02] Mandalia H. C., Jain V. K. and Pattanaik B. N., (2012), Application of Super-molecules in solar energy conversion, A Review, Res. J. Chem. Sci., 2(1), 89-102.
[03] Falayi, E. O. and Rabiu, A. B., (2011), Estimation of Global Solar Radiation using Cloud Cover and Surface Temperature in some Selected Cities in Nigeria, Archives of Physics Research, 2 (3), pp. 99–109.
[04] Iqbal M., (1983), An introduction to solar radiation, Academic Press New York.
[05] Shears R. D., Flocchini R. G. and Hatfield J. L., (1981), Technical note on correlation of total, diffuse and direct solar radiation with percentage of possible sunshine for Davis, Journal of Solar Energy, 27(4), 357-360.
[06] Babatunde E. B. and Aro T. O., (1990), Characteristics variation of total solar radiation at a llorin, Nigerian Journal of Solar Energy, 9, 157-173.
[07] Page, J. K., (1964), The estimation of monthly mean valuesof daily total short – wave radiation on vertical and inclined surfaces from sunshine records. Proceeding of the UN Conference on New Sources of Energy, page 98.
[08] Angstrom, A., (1924), Solar and Terrestrial Radiation, J. Meteor. Soc., 50: 121-126.
[09] Trabea, A. A. and Shaltout M. A., (2000), Correlation of global solar-radiation with meteorological parameters over Egypt. Renew. Energ., 21: 297-308.
[10] Falayi, E. O. and A. B. Rabiu, (2005), Modelling global solar radiation using sunshine duration data. Nigeria Journal of Physics, Vol. 17, pp. 181-186.
[11] Augustine C. and Nnabuchi M. N. (2009), “Relationship Between Global Solar Radiation and sunshine hours for Calabar, Port Harcourt and Enugu, Nigeria”, International Journal of Physical Sciences, 4(4), pp. 182-188.
[12] Awachie, I. R. N and Okeke, C. E. (1990). New empirical solar model and its use in predicting global solar irradiation. Nigerian J. Solar Energy, 9, 143-156.
[13] Prescott, J. A., (1940), Evaporation from a Water Surface in Relation to Solar Radiation. Trans Roy Soc Aust 64, 114–48.
[14] Page, J. K., (1961), The Estimation of Monthly Mean Values of Daily Total Short Wave Radiation on Vertical and Inclined Surface from Sunshine Records for Latitude 40 ͦN – 40 ͦS, Proceedings of UN Conference on New Sources of Energy, 4(598), 378–390.
[15] Duffie, J. A. and Beckman, W. A (2006). Solar Engineering of Thermal Processes, 3rd Edn., John Wiley and Sons, New York.
[16] Tiwari, G. N and Sange eta, S. S (1977), Solar Thermal Engineering System, Narosa Publishing House, New Delhi, India.
[17] Frere E. T., (1980), Estimation and prediction of global solar radiation over Greece, Solar Energy, 24: 63-70.
[18] Hargreaves, G. H. and Samani Z. A. (1982), Estimating Potential Evapotranspiration. Journal of Irrig. and Drain Engr., ASCE, 108(IR3): 223-230.
[19] Hargreaves, G. H. (1994), Simplified coefficients for estimating monthly solar radiation in North America and Europe." Departmental Paper, Dept. of Biol. And Irrig. Engrg., Utah State University, Logan, Utah.
[20] El – Sebaii A. A. and Trabea A. A., (2005), Estimation of Global Solar Radiation on Horizontal Surface over Egypt, Egypt Journals of Solids, Vol. 28, N0. 1, pp. 163–175.
[21] Ezekoye B. A., Ezekoye V. A., Ike P. O., and Nwanya A. C., (2011), Estimating Monthly Solar Radiation of Nsukka Using Some Temperature Based Radiation Models, Nigeria Journal of Solar Energy, Vol. 22, pp. 67–70.
[22] Akpabio, L. E. and Etuk, S. E. (2003), Relationship Between Global Solar Radiation and Sunshine Duration for Onne, Nigeria. Turk J. Phys, 27: 161–167.
[23] Almorox, J., Benito, M. and Hontoria, C. (2005), Estimating of Monthly Angstrom-Prescott equation Coefficients from measured daily data in Toledo, Spain. Ren. Energy J. 30: 931 - 936.
[24] Che, H. Z., Shi, G. Y., Zhang, X. Y., Zhao, J. Q. and Li Y. (2007), Analysis of Sky Condition using 40 years records of solar radiation data in China, Theor. Appl. Climatol., 89: 83–94.
[25] Bandyopadhyay A., Bhadra A., Raghuwanshi N. S., and Singh R., (2008), Estimation of Monthly Solar Radiation from Measured Air Temperature Extremes, Agricultural and forest meteorology, Vol. 148 (Issues 11), pp. 1707–1718.
600 ATLANTIC AVE, BOSTON,
MA 02210, USA
+001-6179630233
AIS is an academia-oriented and non-commercial institute aiming at providing users with a way to quickly and easily get the academic and scientific information.
Copyright © 2014 - American Institute of Science except certain content provided by third parties.