Mapping and Estimation of Monthly Global Solar Irradiation in Different Zones in Souss-Massa Area, Morocco, Using Artificial Neural Networks
Joint Authors
Nait Mensour, O.
Bouaddi, S.
Abnay, B.
Hlimi, B.
Ihlal, A.
Source
International Journal of Photoenergy
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-12
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Solar radiation data play an important role in solar energy research.
However, in regions where the meteorological stations providing these data are unavailable, strong mapping and estimation models are needed.
For this reason, we have developed a model based on artificial neural network (ANN) with a multilayer perceptron (MLP) technique to estimate the monthly average global solar irradiation of the Souss-Massa area (located in the southwest of Morocco).
In this study, we have used a large database provided by NASA geosatellite database during the period from 1996 to 2005.
After testing several models, we concluded that the best model has 25 nodes in the hidden layer and results in a minimum root mean square error (RMSE) equal to 0.234.
Furthermore, almost a perfect correlation coefficient R=0.988 was found between measured and estimated values.
This developed model was used to map the monthly solar energy potential of the Souss-Massa area during a year as estimated by the ANN and designed with the Kriging interpolation technique.
By comparing the annual average solar irradiation between three selected sites in Souss-Massa, as estimated by our model, and six European locations where large solar PV plants are deployed, it is apparent that the Souss-Massa area is blessed with higher solar potential.
American Psychological Association (APA)
Nait Mensour, O.& Bouaddi, S.& Abnay, B.& Hlimi, B.& Ihlal, A.. 2017. Mapping and Estimation of Monthly Global Solar Irradiation in Different Zones in Souss-Massa Area, Morocco, Using Artificial Neural Networks. International Journal of Photoenergy،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1168526
Modern Language Association (MLA)
Nait Mensour, O.…[et al.]. Mapping and Estimation of Monthly Global Solar Irradiation in Different Zones in Souss-Massa Area, Morocco, Using Artificial Neural Networks. International Journal of Photoenergy No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1168526
American Medical Association (AMA)
Nait Mensour, O.& Bouaddi, S.& Abnay, B.& Hlimi, B.& Ihlal, A.. Mapping and Estimation of Monthly Global Solar Irradiation in Different Zones in Souss-Massa Area, Morocco, Using Artificial Neural Networks. International Journal of Photoenergy. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1168526
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168526