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Friday, January 20, 2023

PV Solar Panel Soiling Losses: Site- and Region-Specific Effects of Dust and Particles on Solar Output

 

     Reduction in PV solar output due the accumulation of sand, dust, and particulate matter on solar panels is known as soiling losses. Soiling losses are both site-specific and region specific. In areas with adequate and frequent rainfall soiling losses are lower since rain washes away the dust and particles. Soiling losses on fixed tilt panels are higher than on panels that track the sun since gravity may help remove some particles as the panels change to a higher pitch angle. Time-limited regional events like wildfires can drastically increase airborne particulate matter and subsequent soiling losses. Places where precipitation is very low like desert areas and events like sandstorms are frequent, also desert areas, are likely to have very high soiling losses.

     The National Renewable Energy Laboratory (NREL) noted in the section about soiling losses in their 2016 PV Module Reliability Workshop:

 

Soiling is a complex problem that increases uncertainty and drives up LCOE through lost energy production, increased O&M costs, and higher finance rates. – Overall, soiling may be adding ¢1/kWh to LCOE in the United States (may be worse in some other parts of the world) depending on the site.”

 

     Companies and academia have developed modeling based on continuous monitoring of particulate matter and weather conditions. SolarAnywhere has developed a global soiling loss map based on their own data and that of Humboldt State University (HSU) data. Parameters used by HSU include rainfall, cleaning threshold (amount of rain needed to clean panels), tilt of panels, PM2.5 (particulate matter less than 2.5 microns), PM10 (particulate matter less than 10 microns), depositional or settling velocity of particulates, and rain accumulation period. SolarAnywhere’s modeling is based on fixed-tilt panels

     Soiling loss stations can be set up on solar farms to gather site-specific data on soiling losses. These typically involve a panel section being regularly cleaned compared to one that is left to accumulate dust.

In urban environments the composition of particulates is more likely to come from air pollution and may be much different than in deserts or other dry environments. A study using sensors in Los Angeles found that fine and coarse particulate matter accumulating on panels for several years without cleaning can be very difficult, even impossible to remove so that those soiling losses are permanent. LA is known to have high smog rates due to weather inversions.     

     A study published in 2019 by HSU researchers showed that simple modeling can accurately predict soiling losses after being compared with actual data for the local sites evaluated. They do not know if their model is applicable to other sites or all sites, but it seems reasonable to suspect that it would be close. They also noted: “The model demonstrated strong dependency on the frequency and magnitude of rain the PV system experiences.” Thus, rain is likely the biggest factor. Manually cleaning solar panels is an option but for large solar farms this would result in increased maintenance costs which could offset the gains of cleaning the panels.

     Soiling losses in the US are estimated between 0 and 7%. California and parts of the Southwest have the highest soiling losses in the US. In some parts of the world soiling losses can be as much as 50%! A 2020 study in Nature Sustainability based on a combination of “solar PV performance modelling with long-term satellite-observation-constrained surface irradiance, aerosol deposition and precipitation rates” that in Saharan and Middle East regions, which have some of the best solar resources in the world, soiling losses led to capacity factor losses greater than 30% and in some cases 50%. Of course, in those regions it would be worth it to manually clean the panels. Morning dew can make the problem worse by cementing particles together. This can make the particles stick better to the panels, requiring more energy to remove them.

     Other remediation methods include applying coatings to make particulates less likely to deposit on the panels. In the Middle East autonomous robots are deployed to clean solar panels with rotating brushes. This keeps the panels clean and prevents the cementation problems caused by morning dew. However, this solution does require frequent cleaning, which as I have mentioned would likely be worthwhile in places where soiling losses are high. An issue in very humid areas that leads to high soiling losses is fungus which may grow on the panels that requires both chemicals and hard scrubbing to remove.

 


References

 

Estimate PV soiling losses to reduce solar risk with SolarAnywhere. Akansha Bhat and Marc Perez, January 31. 2022. SolarAnywhere. Estimate PV soiling losses to reduce solar risk with SolarAnywhere - SolarAnywhere


 Soil Loss Modeling. SolarAnywhere. Soiling-loss Modeling - SolarAnywhere


 Scientists Studying Solar Try Solving a Dusty Problem. Wayne Hicks, April 1, 2021. NREL. Scientists Studying Solar Try Solving a Dusty Problem | News | NREL


 The Modeling of the Effects of Soiling, Its Mechanisms, and the Corresponding Abrasion. PV Module Reliability Workshop. NREL, February 24, 2016. NREL. The Modeling of the Effects of Soiling, Its Mechanisms, and the Corresponding Abrasion (Presentation), NREL (National Renewable Energy Laboratory)


 Simple Model for Predicting Time Series Soiling of Photovoltaic Panels. Merissa Coello and Liza Boyle. Humboldt State University. IEEE Journal of Photovoltaics. Vol. 9, Issue 5, September 2019. Simple Model for Predicting Time Series Soiling of Photovoltaic Panels | IEEE Journals & Magazine | IEEE Xplore


 Global reduction of solar power generation efficiency due to aerosols and panel soiling. Xiaoyuan Li, Denise L. Mauzerall & Mike H. Bergin. Nature Sustainability volume 3, pages720–727 (2020). Global reduction of solar power generation efficiency due to aerosols and panel soiling | Nature Sustainability

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