Impact of environmental factors on photovoltaic system performance degradation

The rapid expansion of photovoltaic (PV) systems underscores the need to understand environmental factors affecting their performance, degradation, and economic viability. This study comprehensively reviews 175 articles, classifying environmental factors such as atmospheric deposits (dust, sea salt, pollen), meteorological conditions (wind, temperature, humidity, rainfall, snowfall, hailstorms), shading, and solar irradiation variability. A novel multilevel classification of degradation modes is introduced, identifying failure mechanisms and their impacts. Key findings reveal performance losses of up to 60%–70% due to combined factors, while mitigation strategies, such as wind-induced cooling, can improve power output by 14.25%, and snow accumulation results in up to 12% annual energy losses. Performance metrics like Performance Loss Rate (PLR) and Degradation Rate (DR) are evaluated to quantify long-term impacts, with economic implications including potential revenue losses and maintenance costs. For instance, addressing dust accumulation in arid regions could save 20%–30% in annual cleaning costs while reducing energy inefficiencies. Recent advancements in AI-driven predictive maintenance are highlighted as pivotal for optimizing system performance and minimizing costs. This integrated analysis provides actionable insights for researchers, engineers, and policymakers, emphasizing the need for tailored strategies to enhance PV resilience and economic sustainability. By addressing the interaction of environmental factors and introducing standardized metrics, this study fills critical research gaps, offering a roadmap for improving PV system reliability, reducing operational costs, and supporting the transition to sustainable energy under diverse environmental conditions. • Wind speeds between 2.8 m/s and 10 m/s can lower module temperature by 3.5-10 °C. • Snowfall can reduce energy output by up to 90%. • Hailstorms can cause efficiency losses between 10% and 30%. • Sandstorms can lower PV efficiency by 20% within minutes. • Every degree of solar irradiance deviation reduces production by 0.08%.

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Publication Details

Journal
Energy Strategy Reviews
Published
2025-03-18
DOI
https://doi.org/10.1016/j.esr.2025.101682
Citations
28
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
10.18
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article

Impact of environmental factors on photovoltaic system performance degradation

Edgar Hernando Sepúlveda-Oviedo
28 citations
Energy Strategy Reviews
Photovoltaic System Optimization Techniques
10.18
article

Impact of environmental factors on photovoltaic system performance degradation

Edgar Hernando Sepúlveda-Oviedo
article en
28 citations

Abstract

The rapid expansion of photovoltaic (PV) systems underscores the need to understand environmental factors affecting their performance, degradation, and economic viability. This study comprehensively reviews 175 articles, classifying environmental factors such as atmospheric deposits (dust, sea salt, pollen), meteorological conditions (wind, temperature, humidity, rainfall, snowfall, hailstorms), shading, and solar irradiation variability. A novel multilevel classification of degradation modes is introduced, identifying failure mechanisms and their impacts. Key findings reveal performance losses of up to 60%–70% due to combined factors, while mitigation strategies, such as wind-induced cooling, can improve power output by 14.25%, and snow accumulation results in up to 12% annual energy losses. Performance metrics like Performance Loss Rate (PLR) and Degradation Rate (DR) are evaluated to quantify long-term impacts, with economic implications including potential revenue losses and maintenance costs. For instance, addressing dust accumulation in arid regions could save 20%–30% in annual cleaning costs while reducing energy inefficiencies. Recent advancements in AI-driven predictive maintenance are highlighted as pivotal for optimizing system performance and minimizing costs. This integrated analysis provides actionable insights for researchers, engineers, and policymakers, emphasizing the need for tailored strategies to enhance PV resilience and economic sustainability. By addressing the interaction of environmental factors and introducing standardized metrics, this study fills critical research gaps, offering a roadmap for improving PV system reliability, reducing operational costs, and supporting the transition to sustainable energy under diverse environmental conditions. • Wind speeds between 2.8 m/s and 10 m/s can lower module temperature by 3.5-10 °C. • Snowfall can reduce energy output by up to 90%. • Hailstorms can cause efficiency losses between 10% and 30%. • Sandstorms can lower PV efficiency by 20% within minutes. • Every degree of solar irradiance deviation reduces production by 0.08%.

Energy Strategy ReviewsVol. 59
Centre National de la Recherche Scientifique (FR), Université Toulouse III - Paul Sabatier (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Laboratoire d'Analyse et d'Architecture des Systèmes (FR)
Openalex Percentile: Top 1%
Photovoltaic System Optimization Techniques
10.18
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