Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO
Science Journal of Energy Engineering
Volume 5, Issue 3, June 2017, Pages: 58-62
Received: Jun. 30, 2017;
Accepted: Jul. 13, 2017;
Published: Oct. 19, 2017
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Komi Apélété Amou, Solar Energy Laboratory, Department of Physics, Faculty of Sciences, University of Lomé, Lomé, Togo
Koffi Sagna, Solar Energy Laboratory, Department of Physics, Faculty of Sciences, University of Lomé, Lomé, Togo
Yendoubé Lare, Solar Energy Laboratory, Department of Physics, Faculty of Sciences, University of Lomé, Lomé, Togo
Kossi Napo, Solar Energy Laboratory, Department of Physics, Faculty of Sciences, University of Lomé, Lomé, Togo
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In this paper, we investigate the solar potential of three different cities in TOGO (Lomé, Atakpamé and Mango) in order to determine the empirical relationships allowing us to calculate the monthly global sunshine from the relative humidity RH, the mean temperature T, and monthly average values of the non-atmospheric sunlight H0 according to appropriate models. The models that have been chosen are those for which the availability of data necessary for their validation poses no difficulty. On the basis of the Mean Absolute Errors (MAE), the Mean Bias Error (MBE) and the Root Mean Square Error (RMSE) we were able to identify for each city the appropriate model. The advantage of this work is to present, through the determination of the MAE, MBE and RMSE parameters, the importance of the appropriate model in order to determine the photovoltaic potential estimation of a city.
Solar Potential, Models, Mean Absolute Error, Mean Bias Error, Root Mean Square Error
To cite this article
Komi Apélété Amou,
Modeling of the Solar Potential of Lomé, Atakpamé and Mango from Weather Data in TOGO, Science Journal of Energy Engineering.
Vol. 5, No. 3,
2017, pp. 58-62.
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
William C. Burger, Perfect Planet, clever species-How unique are we? P 24, 34, 2003.
David Suzuki, l’équilibre sacré - Redécouvrir sa place dans la nature, trad. Jean Chapdelaine Gagnon, Boréal, p. 115, 2007.
Skeiker K. Correlation of global solar irradiation with common geographical and meteorological parameters for Damascus province, Syria, Energy conversion and Management, 47, (4) 331-345, 2006.
Carper Jean, Food, Your miracle medicine, Harper Perennial, New York 1994.
The Natural pharmacy, Health concerns: seasonal Affective Disorder, www.gnc.com/wellness/napharm/concern/seasonnal_Affective_Disorder.html
Groom KN, O’Connor ME, Relation of light and exercise to seasonal depressive symptoms: preliminary development of a scale. Percept Mot Skills; 83: 379-83, 1996.
Dorota A. Chwieduk, Recommendation on modeling of solar energy incidenton a building envelope, Elsevier, Renewable Energy 34, 736-741, 2009.
Petela R., Energy analysis of the solar cylindrical parabolic cooker, Solar Energy, 79, (3), 221-233, 2005.
Qiu, K. and Hayden, A. C. S. Development of a silicon concentrator solar cell based TPV power system, Energy Conversion and Management, 47, (4), 365-376, 2006.
Angstrom A., Solar and terrestrial radiation. Q. J. R. Meteorol. Soc. 50, 121–126, 1924.
Nadir A. E. New empirical models for global solar radiation over Bahrain, Energy Conversion and Management Vol. 39 No 8 pp. 827-835, 1998.
Ododo JC. Sulaiman AT. Aidan J. Yguda MM. Ogbu FA. The importance of maximum air temperature in the parameterization of solar radiation in Nigeria. Renewable Energy; 6: 775-63, 1995.
Glower J. McGulloch JSG. The empirical relation between solar radiation and hours of sunshine. Quart J R Met Soc 1958: 84: 172.
Ojosu JO. Komolafe LK. Modeels for estimating solar radiation abailability in South Western Nigeria. Nig J Solar Energy; 6: 69-77, 1987.
C. Ertekin, O. Yaldiz, Comparison of some existing models for estimating global solar radiation for Antalya (Turkey) Energy Conversion and Management 41, 311-330, Pergamon, 2000.