Analysis of Solar Radiation data From Satellite and Nigeria Meteorolocical Station

Life largely depends on the radiation from the sun. This is mainly because virtually all physical, chemical and biological processes occurring near the ground or in the atmosphere involves energy transformation. The solar radiation data at ground level and in the atmosphere are an important feature in solar energy applications such as photovoltaic systems for electricity generation, solar collectors for heating and passive solar devices. In this paper a comparison of solar radiation data measured with the satellite and the ground measurement radiation was analyse. The Kolmogorov-Smirnov test which is use in assessing statistical similarity between the two sets of data was applied to global horizontal daily radiation data value from Gun-Bellani Pyranometer collected at Nigeria Meteorological Agency Oshodi, Lagos and Satellite data from National Aeronautics and Space Administration (NASA). The result affirm that the new parameters contribute valuable information to the comparison of the data sets complimenting those that are found with Mean Bias and Root Mean Square difference

Keywords:

Mean Bias difference, Root Mean Square difference Solar radiation, Kolmogorov-Smirnov test.,

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Argiriou, A., Lykoudis, S., Kontoyiannidis, S., Balaras, C.A., Asimakopoulos, D., Petradis, M., Kassomenos, “Comparison of methodologies for TMY generation using 20 years data for Athens, Greece,” Solar Energy 66, 33-45. 1999.
Davies, J.A., McKay, D.C., Luciani, G., Abdel-Wahab, M.,”.Validations of models estimating solar radiation on horizontal surfaces”. Task IX Final Report to the solar Heating and Cooling Programme of the International Energy Agency 1988
Dc Miguel, A., Bilbao, J., Aguiar, R., Kambezidis, II., Negro, E., “Diffuse solar irradiation model evaluation in the north Mediterranean belt area”. Solar Energy 70, 143- 153, 2001.
Djemma, B., and Delorme, C.,”A comparison of one year daily global irradiation from ground-based measurements versus Meteosat images from seven locations in Tunisia. ” Solar Energy 48, 325-333, 1992.
Drews, A, Lorenz, E., Hammer, A., Heinemann, D., Long-term accuracy assessment of satellite-derived global irradiance time series with respect to solar energy applications. Theoretical and Applied Climatology (submitted for publication), 2008.
Gueymard, C., 2003. ”Direct solar transmittance and irradiance predictions with broadband models. Part II: validation with high-quality measurements”, Solar Energy 74, 381-395.
Hammer, A., Heinemann, D., Hoyer, C., Kuhlemann, R.,Lorennz, E.,Mueller, R.W., Beyer, H.G., (2003}. ”Solar energy assessment using remote sensing Technologies”, Remote Sensing of Environment 86, 423- 432.
Illera, P., Fernandez, A., Perez, A., (1995). ”A simple model for the calculation of global solar radiation using geostationary satellite data”, Atmospheric Research 39, 79-90.
Kudish, A.I., Lyubansky, V., Evseev, E.G.,lanetz, A.,.” Inter-comparison of the solar UVB, UVA and global radiation clearness and UV indices for Beer Sheva and Neve Zohar (Dead Sea) ”, Isreal. Energy 30, 1623-1641, 2005.
Lefevre, M., Wald, L.,”Using reduced data sets ISCCP- B2 from the Meteosat satellites to assess surface solar irradiance”, Solar Energy 81, 240-253, 2007.
Lopez, G.,Batlles, F.J.,”Estimate of the atmospheric turbidity from three broad-band solar radiation algorithms.Acomparative study”, Annales Geophysicae 22, 2657-2668, 2004.
Lopez, G., Rubio, M.A.,Martinez, M., Battles, F.J.,”Estimation of hourly global photosynthetically active radiation using artificial neural network models”, Agricultural and forest Meteorology 107, 279-291, 2001.
Massey Jr., F.J.,.”The Kolmogorov-smirnov test for goodness of fit”, Journal of the American statistical Association 46, 68-78, 1993.
Noia, M., Ratto, C.F., Festa, R., ”Solar irradiance estimation from geostationary satellite data: I. Statistical models”, Solar Energy 51, 449-456, 1993.
Pereira, E.B., Abreu, S.L., Stuhlmann, R., Rieland, M., Colie, S., ”Survey of the incident solar radiation in Brazil by the use of Meteosat satellite data”, Solar Energy 57, 125-132, 1996.
Pereira, E.B., Martins, F.R., Abreu S.L.,Beyer, H.G., Colle, S., Perez, R., Heinemann, D., ”Cross validation of satellite radiation mode during SWERA project in Brazil. In: Proceedings of the ISES Solar World Congress. Goteborg (Sweden) ”, CD-ROM, paper 06 23. June 14- 19, 2003.
Perez, R., Ineichen, P., Maxwell, E., Seals, R., Zelenka, A.”Dynamic global-to-direct conversation models. ASHRAE Transactions”, Research series 1992, 354-369, 1992.
Perez, R., Seals, R., Zelenka, A.”Comparing satellite remote sensing and ground Network measurements for the production for site/time specific irradiance data”, Solar Energy 60, 89-96, 1997.
Polo, J., Zarzelejo, L.F., Ramirez, L., Espinar, B.,” Iterative filtering of ground data for qualifying statistical models for solar radiance estimation from satellite data”, Solar Energy 80, 240-247, 2006.
Press, W.H., Fannery, B.P., Teukolsky, S.A., Vetterling, W.T. ,Numerical Recipes in C. The art of scientific Computing. Cambridge University Press, 1988.
Ramirez, L.”Radiacion solar a partir de imagines de satellite.aplication al dimensionado de instalciones solares de fotocatalisis. Serie: Coleccion Documentos CIEMAT. Ed. CIEMAT”, Madrid (Spain), 2000.
Rubio, M.A., Lopez, G., Tovar, J., Pozo, D., Batlles, F.J.”The use of satellite measurements to estimate photosynthetically active radiation”, Physics and Chemistry of the Earth 30, 159-164, 2005.
Schillings, C., Meyer, R., Mannstein, H.” Validation of a method for deriving high resolution direct normal irradiance from satellite data and application for the Arabian Peninsula”, Solar Energy 76, 485-497. 2003
Zarzelejo, L.F.”Irradiancia solar global horaria a partir de imagines de satellite”, Serie: Coleccion Documents CIEMAT, Ed, CIEMAT. Madrid (spain), 2006
Zelenka, A., Perez, R., Seals, R., Renne, D.”Effective accuracy of satellite-derived hourly irradiances”, Theoretical and Applied Climato-logy 62, 199-207,1999