Capability evaluation of Gene Expression Programming (GEP) in the simulation of solar radiation (Case study: Ahwaz)

Document Type : Original Article

Authors

1 Assistant professor, Agrotechnology Department, Aburaihan Campus, University of Tehran, Tehran, Iran

2 M.Sc. Student, Biosystem Mechanical Engineering, Aburaihan Campus, University of Tehran, Tehran, Iran

3 Irrigation and Drainage Department, Aburaihan Campus University of Tehran, Tehran, Iran

Abstract

Determining the amount of solar radiation reaching the ground in each location is important for many practical applications such as the use of solar energy. However, in many stations due to the high cost of installing and maintaining solar radiation measuring equipment, the direct measurement of this parameter is limited. Hence, in the past decades, some empirical equations have been developed to estimate the received solar radiation that needs to calibrate for use in any location. In this study in order to evaluate the performance of gene expression programming method for solar radiation simulation, daily meteorological data of Ahwaz synoptic station were used. For this purpose, day of the year parameter and daily data of the minimum temperature, maximum temperature and average temperature, relative humidity, sunshine hours and the extraterrestrial radiation of three consecutive years (2006-2008) in Ahwaz were selected as input for GEP models. The performance of the GEP model in comparison with experimental methods angstrom and Hargreaves-Samani were studied also. Generally the results showed that, GEP model had better performance than empirical equations for estimates of solar radiation and among of the empirical equation used in this study, the Angstrom equation was accurate compared to the Hargreaves-Samani model.

Keywords

References

 
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Journal of Renewable and New Energy
Volume 6, Issue 2 - Serial Number 12
September 2019
Pages 85-93

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History

  • Receive Date: 23 December 2018
  • Revise Date: 19 February 2019
  • Accept Date: 13 May 2019

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