Empirical models for predicting global solar radiation using meteorological parameters for Sokoto, Nigeria
-
2019-07-22 https://doi.org/10.14419/ijpr.v7i2.29160 -
Global Solar Radiation, Multivariate Models, Sokoto, Sunshine Based Model, Temperature Based Models. -
Abstract
The performances of sunshine, temperature and multivariate models for the estimation of global solar radiation for Sokoto (Latitude 13.020N, Longitude 05.250E and 350.8 m asl) located in the Sahelian region in Nigeria were evaluated using measured monthly average daily global solar radiation, maximum and minimum temperatures, sunshine hours, rainfall, wind speed, cloud cover and relative humidity meteorological data during the period of thirty one years (1980-2010). The comparison assessment of the models was carried out using statistical indices of coefficient of determination (R2), Mean Bias Error (MBE), Root Mean Square Error (RMSE), Mean Percentage Error (MPE), t – test, Nash – Sutcliffe Equation (NSE) and Index of Agreement (IA). For the sunshine based models, a total of ten (10) models were developed, nine (9) existing and one author’s sunshine based model. For the temperature based models, a total of four (4) models were developed, three (3) existing and one author’s temperature based model. The results of the existing and newly developed author’s sunshine and temperature based models were compared and the best empirical model was identified and recommended. The results indicated that the author’s quadratic sunshine based model involving the latitude and the exponent temperature based models are found more suitable for global solar radiation estimation in Sokoto. The evaluated existing Ångström type sunshine based model for the location was compared with those available in literature from other studies and was found more suitable for estimating global solar radiation. Comparing the most suitable sunshine and temperature based models revealed that the temperature based models is more appropriate in the location. The developed multivariate regression models are found suitable as evaluation depends on the available combination of the meteorological parameters based on two to six variable correlations. The recommended models are found suitable for estimating global solar radiation in Sokoto and regions with similar climatic information with higher accuracy and climatic variability.
Â
Â
Â
-
References
[1] E. O. Ogolo, Evaluating the performance of some predictive models for estimating global solar radiation across varying climatic conditions in Nigeria. Indian Journal of Radio & space Physics, 39 (2010) 121-131.
[2] B. Viorel, Modeling solar radiation at the earth's surface: Recent advances. Springer. (2008)
[3] M. S. Dresselhaus, I. L. Thomas, Alternative Energy Technologies. Nature, 414 6861 (2001) 332-337.
[4] A. Kassem, A. Aboukarima, N. El Ashmawy, Development of Neural Network Model to Estimate Hourly Total and Diffuse Solar Radiation on Horizontal Surface at Alexandria City (Egypt), Journal of Applied Sciences Research, 5, 11 (2009) 2006-2015.
[5] M. Alam, S. Saha, M. Chowdhury, M. Rahman, Simulation of Solar Radiation System, Am. J. Appl. Sci, 2,4 (2005) 751 – 758.
[6] A. Al-Salihi, M. Kadum, A. Mohammed, Estimation of Global Solar Radiation on Horizontal Surface Using Meteorological Measurement for different Cities in Iraq, Asian J. Sci. Res, 3, 4 (2010) 240 – 248.
[7] A. Ångström, Solar and terrestrial radiation. Quarterly Journal of the Royal Meteorological society, 50 (1924) 121-125.
[8] J. K. Page, The estimation of monthly mean values of daily total short – wave radiation on vertical and inclined surfaces from sunshine records for latitude - . Proceeding of the UN Conference on New Sources of Energy, Rome, 4 (1964) 378 – 390.
[9] B. I. Tijjani, Comparison between first and second order Ångström type models for sunshine hours at Katisna, Nigeria. Bayero Journal of Pure and Applied Sciences, 4 (2011) 24-27.
[10] A. Muhammad, T. H. Darma, Estimation of Global Solar Radiation for Kano State Nigeria Based on Meteorological Data, IOSR Journal of Applied Physics, 6, 1 (2014) 19 – 23.
[11] G. I. Olatona, A. E. Adeleke, Estimation of Solar Radiation over Ibadan from Routine Meteorological Parameters, The International Journal Of Engineering And Science (IJES), 4, 3 (2015) 44 – 51.
[12] S. G. Abdu, A. S. Abdullateef, Empirical Model for the Estimation of Monthly Global Solar Radiation in Zaria, Nigeria. International Journal of Physics and Mathematical Sciences, 6, 4 (2016) 57 – 62.
[13] G. M. Argungu, K. Dabai, Application of Linear Models for Estimation of Global Solar Radiation using Available Meteorological Parameters for Sokoto, Nigeria. International Journal of Advances in Scientific Research and Engineering (ijasre), 3, 11 (2017) 76 – 83.
[14] D. N. Girma, Estimation of Monthly Average Daily Solar Radiation from Meteorological Parameters: Sunshine Hours and Measured Temperature in Tepi, Ethiopia. International Journal of Energy and Environmental Science. Vol. 3, No. 1 (2018) 19-26.
[15] WMO, A Note on Climatological Normal. Technical Note. World Meteorological Organization, Geneva, Switzerland. (1967).
[16] O. S. Ojo, B. Adeyemi, Estimation of Solar Radiation using Air Temperature and Geographical Coordinate over Nigeria, The Pacific Journal of Science and Technology, 15, 2 (2014) 78 – 88.
[17] M. Iqbal, An introduction to solar radiation, first ed. Academic Press, New York. (1983)
[18] S. Zekai, Solar energy fundamentals and modeling techniques: atmosphere, Environment, climate change and renewable energy, first ed. Springer, London. (2008)
[19] E. O. Falayi, A. B. Rabiu, R. O. Teliat, Correlations to estimate monthly mean of daily diffuse solar radiation in some selected cities in Nigeria, Pelagia Research Library, 2, 4 (2011) 480-490.
[20] J.A. Prescott, Transactions of the Royal Society of Australia 48 (1940) 114-8.
[21] H. Ogelman, A. Ecevit, E. Tasdemiroglu, A new method for estimating solar radiation from bright sunshine data, Solar Energy, 33 (1984) 619 – 25.
[22] T. D. M. A. Samuel, Estimation of global radiation for Sri Lanka, Solar Energy, 47 (1991) 333-337.
[23] F. J. Newland, A study of solar radiation models for the coastal regions of South China, Solar Energy, 31 (1988) 227 – 235.
[24] D. B. Ampratwum, A. S. S Dorvlo, Estimation of solar radiation from the number sunshine hours, Applied Energy, 63 (1999) 161 – 167.
[25] K. Bakirci, Correlations for estimation of daily global solar radiation with hours of bright sunshine in Turkey, Energy, 34 (2009) 485 – 501.
[26] J. Almorox, C. Hontoria, Global solar radiation estimation using sunshine duration in Spain, Energy Conversion and Management, 45 (2004) 1529 – 1535.
[27] A. Louche, G. Notton, P. Poggi, G. Simonnot, Correlations for direct and Global horizontal irradiation on a French Mediterranean site, Solar Energy, 46 (1991) 261 – 6.
[28] R. Chen, K. Ersi, J. Yang, S. Lu, W. Zhao, Validation of five global radiation Models with measured daily data in China. Energy Conversion and Management, 45 (2004) 1759-1769.
[29] G. Hargreaves, Z. Samani, Estimating potential evapotranspiration. Journal of Irrigation and Drainage Engineering. ASCE, 108 (1982) 225-230.
[30] J. V. Garcia, Principios F’isicos de la Climatolog’ia. Ediciones UNALM (Universidad Nacional Agraria La Molina: Lima, Peru) (1994)
[31] A. El-Sebaii, A. Trabea, Estimation of Global Solar Radiation on Horizontal Surfaces Over Egypt, Egypt. J. Solids, 28, 1 (2005) 163-175.
[32] P. R. Bevington, Data reduction and error analysis for the physical sciences, first ed. McGraw Hill Book Co., New York (1969)
[33] H. O. Merges, C. Ertekin, M. H. Sonmete, Evaluation of global solar radiation Models for Konya, Turkey. Energy Conversion and Management, 47 (2006) 3149-3173.
[34] M. B. Abdullahi, S. B. Sharafa, Multivariable Empirical Equation for Estimation of Global Solar Radiation in Sokoto Nigeria. ATBU, Journal of Science, Technology & Education (JOSTE); Vol. 5, 3 (2017) 187 – 192.
[35] O. O. Ajayi, O. D. Ohijeagbon, C. E Nwadialo, O. Olasope, New Model to Estimate Daily Global Solar Radiation over Nigeria. Sustainable Energy Technologies and Assessments, 5 (2014) 28 – 36.
[36] L. Huashan, C. Fei, W. Xianlong, M. Weibin, A Temperature-Based Model for Estimating Monthly Average Daily Global Solar Radiation in China. Hindawi Publishing Corporation. The Scientific World Journal, Volume 2014 (2014) 1 – 9. http://dx.doi.org/10.1155/2014/128754.
-
Downloads
Additional Files
-
How to Cite
O. Akpootu, D., I. Tijjani, B., & M. Gana, U. (2019). Empirical models for predicting global solar radiation using meteorological parameters for Sokoto, Nigeria. International Journal of Physical Research, 7(2), 48-60. https://doi.org/10.14419/ijpr.v7i2.29160Received date: 2019-05-03
Accepted date: 2019-07-06
Published date: 2019-07-22