RESEARCH ARTICLE

Smart model for accurate estimation of solar radiation

  • Lazhar ACHOUR , 1 ,
  • Malek BOUHARKAT 1 ,
  • Ouarda ASSAS 2 ,
  • Omar BEHAR 3
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  • 1. Electrical Engineering Department, University of Batna 2, Fesdis 05110, Algeria
  • 2. Laboratory Pure and Applied Mathematics (LPAM), University of M’sila, M’sila 28000, Algeria
  • 3. University of M’Hammed Bougara, UMBB, Boumerdes 35000, Algeria

Received date: 23 Dec 2016

Accepted date: 12 Mar 2017

Published date: 15 Jun 2020

Copyright

2020 Higher Education Press

Abstract

Prediction of solar radiation has drawn increasing attention in the recent years. This is because of the lack of solar radiation measurement stations. In the present work, 14 solar radiation models have been used to assess monthly global solar radiation on a horizontal surface as function of three parameters: extraterrestrial solar irradiance (G0), duration sunshine (S) and daylight hours (S0). Since it has been observed that each model is adequate for some months of the year, one model cannot be used for the prediction of the whole year. Therefore, a smart hybrid system is proposed which selects, based on the intelligent rules, the most suitable prediction model of the 14 models listed in this study. For the test and evaluation of the proposed models, Tamanrasset city, which is located in the south of Algeria, is selected for this study. The meteorological data sets of five years (2000–2004) have been collected from the Algerian National Office of Meteorology (NOM), and two spatial databases. The results indicate that the new hybrid model is capable of predicting the monthly global solar radiation, which offers an excellent measuring accuracy of R2 values ranging from 93% to 97% in this location.

Cite this article

Lazhar ACHOUR , Malek BOUHARKAT , Ouarda ASSAS , Omar BEHAR . Smart model for accurate estimation of solar radiation[J]. Frontiers in Energy, 2020 , 14(2) : 383 -399 . DOI: 10.1007/s11708-017-0505-3

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