Seasonal Performance Analysis of Monocrystalline and Polycrystalline Photovoltaic Solar Panels Under Dust Deposition in Niamey, Niger

ABSTRACT This paper investigates the impact of dust accumulation and temperature on the performance of monocrystalline and polycrystalline photovoltaic (PV) panels under the climatic conditions of Niamey, Niger, with a focus on seasonal variations. High‐resolution performance data were collected across the rainy, Harmattan, and hot seasons to evaluate power output losses. During the rainy season, natural cleaning by rainfall limited power and energy losses to 0.33% and 1.55% for monocrystalline, 5.98% and 6.67% for polycrystalline panels, respectively. In contrast, the Harmattan season showed the most severe reductions, with power and energy losses reaching, respectively, 66.46% and 65.55% for monocrystalline, 57.96% and 57.50% for polycrystalline, due to intense dust accumulation and atmospheric scattering. During the hot season, elevated temperatures and soiling combined to reduce performance by 54.6% and 52.31% for monocrystalline, 43.22% and 42.61% for polycrystalline, respectively. While monocrystalline panels perform better under clean conditions, they are more susceptible to environmental stressors than polycrystalline panels, which demonstrate greater resilience to dust and temperature effects. These findings highlight the importance of regular cleaning, antisoiling technologies, and climate‐adaptive PV system design to sustain performance in dusty and high‐temperature environments, such as the Sahel.

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Publication Details

Journal
Energy Science & Engineering
Published
2026-01-29
DOI
https://doi.org/10.1002/ese3.70447
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Seasonal Performance Analysis of Monocrystalline and Polycrystalline Photovoltaic Solar Panels Under Dust Deposition in Niamey, Niger

Stefanie Meilinger, I. Halidou, B Korgo, Falmata Abdoulaye Moussa
Energy Science & Engineering
Photovoltaic System Optimization Techniques
article

Seasonal Performance Analysis of Monocrystalline and Polycrystalline Photovoltaic Solar Panels Under Dust Deposition in Niamey, Niger

Stefanie Meilinger, I. Halidou, B Korgo, Falmata Abdoulaye Moussa
article en

Abstract

ABSTRACT This paper investigates the impact of dust accumulation and temperature on the performance of monocrystalline and polycrystalline photovoltaic (PV) panels under the climatic conditions of Niamey, Niger, with a focus on seasonal variations. High‐resolution performance data were collected across the rainy, Harmattan, and hot seasons to evaluate power output losses. During the rainy season, natural cleaning by rainfall limited power and energy losses to 0.33% and 1.55% for monocrystalline, 5.98% and 6.67% for polycrystalline panels, respectively. In contrast, the Harmattan season showed the most severe reductions, with power and energy losses reaching, respectively, 66.46% and 65.55% for monocrystalline, 57.96% and 57.50% for polycrystalline, due to intense dust accumulation and atmospheric scattering. During the hot season, elevated temperatures and soiling combined to reduce performance by 54.6% and 52.31% for monocrystalline, 43.22% and 42.61% for polycrystalline, respectively. While monocrystalline panels perform better under clean conditions, they are more susceptible to environmental stressors than polycrystalline panels, which demonstrate greater resilience to dust and temperature effects. These findings highlight the importance of regular cleaning, antisoiling technologies, and climate‐adaptive PV system design to sustain performance in dusty and high‐temperature environments, such as the Sahel.

Energy Science & Engineering
Université Joseph Ki-Zerbo (BF), Université Abdou Moumouni (NE), Hochschule Bonn-Rhein-Sieg (DE), West African Science Service Centre on Climate Change and Adapted Land Use (GH)
Bundesministerium für Bildung und Forschung, West African Science Service Centre on Climate Change and Adapted Land Use
Openalex Percentile: Top 75%
Photovoltaic System Optimization Techniques
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