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Evaluation of PV performance prediction model in tropical environment in Senegal
Author(s) -
Faye Issa,
Ndiaye Ababacar,
Diouma Kobor,
Thiame Moustapha
Publication year - 2021
Publication title -
international journal of the physical sciences
Language(s) - English
Resource type - Journals
ISSN - 1992-1950
DOI - 10.5897/ijps2019.4836
Subject(s) - photovoltaic system , tropical climate , dry season , environmental science , maximum power principle , correlation coefficient , voltage , mathematics , statistics , engineering , geography , electrical engineering , cartography , archaeology
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.

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