Innovation and Interdisciplinary Solutions for Underserved Areas. First International Conference, InterSol 2017 and Sixth Collogue National sur la Recherche en Informatique et ses Applications, CNRIA 2017, Dakar, Senegal, April 11–12, 2017, Proceedings

Research Article

A Multivariate Regression Model for the Assessment of Solar Radiation in the Senegalese Territories

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  • @INPROCEEDINGS{10.1007/978-3-319-72965-7_1,
        author={Ousmane Wane and A. Navarro and L. Ram\^{\i}rez and R. Valenzuela and Jos\^{e} Vindel and F. Ferrera Cobos and Cheikh K\^{e}b\^{e} and L. Zarzalejo},
        title={A Multivariate Regression Model for the Assessment of Solar Radiation in the Senegalese Territories},
        proceedings={Innovation and Interdisciplinary Solutions for Underserved Areas. First International Conference, InterSol 2017 and Sixth Collogue National sur la Recherche en Informatique et ses Applications, CNRIA 2017, Dakar, Senegal, April 11--12, 2017, Proceedings},
        proceedings_a={INTERSOL \& CNRIA},
        year={2018},
        month={2},
        keywords={Solar radiation Global horizontal irradiation Multivariate regression model Satellites database},
        doi={10.1007/978-3-319-72965-7_1}
    }
    
  • Ousmane Wane
    A. Navarro
    L. Ramírez
    R. Valenzuela
    José Vindel
    F. Ferrera Cobos
    Cheikh Kébé
    L. Zarzalejo
    Year: 2018
    A Multivariate Regression Model for the Assessment of Solar Radiation in the Senegalese Territories
    INTERSOL & CNRIA
    Springer
    DOI: 10.1007/978-3-319-72965-7_1
Ousmane Wane1,*, A. Navarro2, L. Ramírez2, R. Valenzuela2, José Vindel2, F. Ferrera Cobos2, Cheikh Kébé1, L. Zarzalejo2
  • 1: CIFRES, Ecole Supérieure Polytechnique - UCAD
  • 2: CIEMAT, Energy Department – Renewable Energy Division
*Contact email: pa.ousmane1@gmail.com

Abstract

Senegal has a great solar potential, so it could be used to shift from a diesel-based power generation to cheaper renewable energy resources. To exploit this inexhaustible natural resource, the global horizontal irradiation remains one of the key parameters for any solar energy project at a given location. This work establishes a multiple linear regression approach to estimate the solar radiation in the Senegalese territories using the information of the global network of weather geostationary satellites (Meteosat and GOES), satellites database and the ground measurement data available in the website of the World Radiation Data Center (WRDC) as inputs to the model. Jointly a set of multivariate regression models, a statistical analysis between Meteonorm data and outputs of different linear combinations are presented in this work, which also gives the opportunity to appreciate the precision and consistency of each solar radiation model on different locations in the study area.