Enhancing Solar Energy Production: A Comprehensive Model for Fixed-Panel Systems Applied to the Solar Power Plant in Diass, Senegal

The study presented in the article focuses on modeling the fixed-panel solar power plant in Diass. Initially, a mathematical model was developed and validated. This model incorporates various environmental and operational parameters to accurately predict solar electricity production. Validation results showed a correlation coefficient of 0.999 and an average annual production increase of 0.0289 GWh when applying the model. Additionally, energy production losses were evaluated for each month, revealing variations ranging from 0.016% in August to 0.091% in October. Subsequently, solar power plant production was assessed considering different configurations, namely a single-axis and dual-axis tracking system. All these findings confirm the model's precision in optimizing the design, management, and performance of the solar power plant, thereby contributing to the advancement of sustainable solar energy.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/pvsc59419.2025.11132696
Primary Topic
Photovoltaic Systems and Sustainability
Type
article
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article

Enhancing Solar Energy Production: A Comprehensive Model for Fixed-Panel Systems Applied to the Solar Power Plant in Diass, Senegal

Adama Sarr, Diatta Sène
Photovoltaic Systems and Sustainability
article

Enhancing Solar Energy Production: A Comprehensive Model for Fixed-Panel Systems Applied to the Solar Power Plant in Diass, Senegal

Adama Sarr, Diatta Sène
article en

Abstract

The study presented in the article focuses on modeling the fixed-panel solar power plant in Diass. Initially, a mathematical model was developed and validated. This model incorporates various environmental and operational parameters to accurately predict solar electricity production. Validation results showed a correlation coefficient of 0.999 and an average annual production increase of 0.0289 GWh when applying the model. Additionally, energy production losses were evaluated for each month, revealing variations ranging from 0.016% in August to 0.091% in October. Subsequently, solar power plant production was assessed considering different configurations, namely a single-axis and dual-axis tracking system. All these findings confirm the model's precision in optimizing the design, management, and performance of the solar power plant, thereby contributing to the advancement of sustainable solar energy.

Cheikh Anta Diop University (SN)
Affordable and clean energy
Openalex Percentile: Top 79%
Photovoltaic Systems and Sustainability
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