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Performance assessment of Hargreaves and Samani Model in estimati | 53153
Journal of Fundamentals of Renewable Energy and Applications

Journal of Fundamentals of Renewable Energy and Applications
Open Access

ISSN: 2090-4541

+44 1300 500008

Performance assessment of Hargreaves & Samani Model in estimating global solar radiation in Central and Western Africa: Case study of some localities of Cameroon and Senegal


World Bioenergy Congress and Expo

June 13-14, 2016 Rome, Italy

Edouard Mboumboue

University of Yaound�?© 1, Cameroon

Posters & Accepted Abstracts: J Fundam Renewable Energy Appl

Abstract :

Renewable sources of energy acquire growing importance due to its enormous consumption and exhaustion of fossil fuel. Renewable energy is abundant, free, sustainable, clean and can be harnessed from different sources in the form of wind, solar, tidal, hydro, geothermal and biomass. The knowledge of the availability of solar radiation at any given location is important for the design and performance evaluation of solar equipment. However, for the efficient functioning and better performance of renewable energy devices, the information of solar radiation and its components at particular location is very essential for designing the solar energy devices. In developing countries like ours, the number of observing stations is inadequate. Therefore, it is essential that some reliable mathematical models be developed to estimate the solar radiation for places where measurements are not carried out and for places where measurement records are not available. Thus, over the years, several empirical correlations have been developed by different authors in order to estimate the more appropriate solar radiation around the world. We presents in this paper a review of Hargreaves & Samani model in order to estimate the solar distribution in four sites in Cameroon and Senegal, and we discussed about its performance. The proposed model was simulated using Matlab software environment. Statistical parameters like root mean square error, t-statistic and coefficient of determination were calculated in order to assess the performance of our models.

Biography :

Email: edomboue@gmail.com

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