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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Authors
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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Abstract
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.
Keywords
Solar Potential, Models, Mean Absolute Error, Mean Bias Error, Root Mean Square Error
To cite this article
Komi Apélété Amou, Koffi Sagna, Yendoubé Lare, Kossi Napo, 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. doi: 10.11648/j.sjee.20170503.11
Copyright
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.
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