Assessing Environmental Dynamics and Angular Influence on PV Soiling: Employing ANFIS to Mitigate Power Losses

The performance of solar photovoltaic systems is impacted by dust accumulation, raising maintenance concerns and discouraging wider adoption to accelerate decarbonization pathways. This research investigates the influence of environmental dynamics on dust accumulation based on several locations, considering weather conditions, seasonality, and angular installation variations, over a three-month period. Low-iron glass coupons were employed to collect on-site soiling from four different locations: agricultural, residential, industrial, and desert. The samples collected were characterized using scanning electron microscopy (SEM) for morphology, X-ray diffraction (XRD) for mineralogy, energy-dispersive X-ray spectroscopy (EDX) for elemental analysis, spectrophotometry for optical properties, and I–V tracing for efficiency analysis. The data were processed using ANFIS techniques to extract the maximum power point (MPP) and reduce the power losses. The results showed significant differences in the dust properties across the sites, influenced by the topography, weather conditions, and human activity. The measurements revealed a decrease in transmittance of up to 17.98%, resulting in power losses of up to 22.66% after three months. The findings highlight the necessity for tailored maintenance strategies to mitigate the impact of human activities and site-specific factors on performance. This could be employed in developing predictive models providing valuable insights for sustaining solar energy systems.

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Publication Details

Journal
Energies
Published
2024-11-26
DOI
https://doi.org/10.3390/en17235921
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessing Environmental Dynamics and Angular Influence on PV Soiling: Employing ANFIS to Mitigate Power Losses

Yusuf N. Chanchangi, Mohammad Mohammadi, Asif Ali Tahir, Kadhim H. Hassan et al.
Energies
Photovoltaic System Optimization Techniques
article

Assessing Environmental Dynamics and Angular Influence on PV Soiling: Employing ANFIS to Mitigate Power Losses

Yusuf N. Chanchangi, Mohammad Mohammadi, Asif Ali Tahir, Kadhim H. Hassan, Mustafa Majid Rashak Al-Fartoos, Zahraa M. Rashak
article en

Abstract

The performance of solar photovoltaic systems is impacted by dust accumulation, raising maintenance concerns and discouraging wider adoption to accelerate decarbonization pathways. This research investigates the influence of environmental dynamics on dust accumulation based on several locations, considering weather conditions, seasonality, and angular installation variations, over a three-month period. Low-iron glass coupons were employed to collect on-site soiling from four different locations: agricultural, residential, industrial, and desert. The samples collected were characterized using scanning electron microscopy (SEM) for morphology, X-ray diffraction (XRD) for mineralogy, energy-dispersive X-ray spectroscopy (EDX) for elemental analysis, spectrophotometry for optical properties, and I–V tracing for efficiency analysis. The data were processed using ANFIS techniques to extract the maximum power point (MPP) and reduce the power losses. The results showed significant differences in the dust properties across the sites, influenced by the topography, weather conditions, and human activity. The measurements revealed a decrease in transmittance of up to 17.98%, resulting in power losses of up to 22.66% after three months. The findings highlight the necessity for tailored maintenance strategies to mitigate the impact of human activities and site-specific factors on performance. This could be employed in developing predictive models providing valuable insights for sustaining solar energy systems.

EnergiesVol. 17(23)
University of Exeter (GB), Southern Technical University (IQ)
Engineering and Physical Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 87%
Photovoltaic System Optimization Techniques
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