International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2527

Full Length Research Paper

Evaluation of PV performance prediction model in tropical environment in Senegal

Issa Faye
  • Issa Faye
  • LCPM, UFR-ST, Assane Seck University of Ziguinchor, Senegal, BP 523 Ziguinchor, Senegal.
  • Google Scholar
Ababacar Ndiaye
  • Ababacar Ndiaye
  • LCPM, UFR-ST, Assane Seck University of Ziguinchor, Senegal, BP 523 Ziguinchor, Senegal.
  • Google Scholar
Diouma Kobor
  • Diouma Kobor
  • LCPM, UFR-ST, Assane Seck University of Ziguinchor, Senegal, BP 523 Ziguinchor, Senegal.
  • Google Scholar
Moustapha Thiame
  • Moustapha Thiame
  • LCPM, UFR-ST, Assane Seck University of Ziguinchor, Senegal, BP 523 Ziguinchor, Senegal.
  • Google Scholar


  •  Received: 30 July 2019
  •  Accepted: 07 November 2019
  •  Published: 30 April 2021

Abstract

Many authors in the literature have worked on models for producing PV module performance, but the question of a climate-specific model is problematic. Some studies have shown more appropriate models for any PV module technology, while others have highlighted models that are more appropriate for a given climate. The aim of this work is to evaluate our model which is based on the I-V characteristic and their accuracy was assessed versus one-year of ground measurement from a system of PV module at different time resolutions. To predict the performance of PV modules in crystalline silicon in a sahelian climate in Senegal, the results obtained experimentally and those of the model were compared. The monthly nRMSE is 17.33% during the rainy season and 17.46% in dry season. There was a good correlation of the model, with a coefficient of 0.88 in January and 0.94 in September.

Key words: PV module, short-circuit current, open circuit-voltage, maximum power output, I-V curve.