HARmonic-LINear (HarLin) model for solar irradiation estimation

Yavuz Selim Güçlü*, Ismail Dabanli, Eyüp Şişman, Zekai Şen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

The solar energy has potential future effectiveness in a variety of areas and it helps to decrease the dominance of fossil fuels, which cause atmospheric pollution, global warming and climate change impacts. In the literature, there are different methodologies for its modeling, but this study suggests the harmonic analysis application to solar irradiation and sunshine duration data for more refined relevant prediction of solar irradiation. The basis of the methodology is combined application of the HARmonic and the classical LINear regression analyses, and therefore, it is referred to as the HarLin model. It isolates first the periodicity from the daily averages of records and then the linear regression analysis is applied elegantly to first order stationary data. The results are tested and compared with the Adaptive-Neuro Fuzzy Inference System (ANFIS) model based on the Sugeno fuzzy logic inference system and Angström-Prescott model in the form of a linear regression analysis. In the application, three solar irradiation sites are considered from different solar energy potential locations in Turkey, namely, at Adana, Gaziantep and Silifke cities. The predictions by the HarLin model appear more successful than ANFIS and the classical Angström-Prescott approaches.

Original languageEnglish
Pages (from-to)209-218
Number of pages10
JournalRenewable Energy
Volume81
DOIs
Publication statusPublished - 1 Sept 2015

Bibliographical note

Publisher Copyright:
© 2015 Elsevier Ltd.

Keywords

  • ANFIS model
  • Angström-Prescott equation
  • Harmonic analysis
  • Solar irradiation
  • Sunshine duration

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