Prediction of daily solar radiation intensity by day of the year in twenty-four cities of Morocco
Y. El Mghouchi,
T. Ajzoul and
A. El Bouardi
Renewable and Sustainable Energy Reviews, 2016, vol. 53, issue C, 823-831
Abstract:
In this study, by using the acquired data from Meteonorm, we used two empirical models developed in literature to predict direct, diffuse and global solar radiation fluxes. Solar radiation intensity of Agadir, Al Hoceima, Beni Mellal, Casablanca, Er-Rachidia, Essaouira, Fes, Ifran, Kenitra, Larache, Marrakech, Meknes, Melilla, Nador, Ouarzazate, Oujda, Rabat, Safi, Sidi Ifni, Tangier, Taza, Midelt, Tetuan and El Aaiun cities is predicted. In order to evaluate the day by day performance of these models, a statistical analysis was performed by using several statistical indicators of mean absolute bias error, root mean square error, normal root mean square error, test statistic, standard deviation and coefficient of determination. The results obtained are acceptable and they gave a good approximation between the estimated and the measured values. The daily solar radiation intensities predicted in this study can be used in the design and estimation of the solar system performance in all Moroccan cities and in other locations of similar climate conditions.
Keywords: Solar radiation; Climatic conditions; Meteorological parameters; Renewable energy (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032115010291
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:53:y:2016:i:c:p:823-831
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic
DOI: 10.1016/j.rser.2015.09.059
Access Statistics for this article
Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski
More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().