Soiling (solar energy)

Soiling is the accumulation of material on light-collecting surfaces in solar power systems. The accumulated material blocks or scatters incident light, which leads to a loss in power output. Typical soiling materials include mineral dust, bird droppings, fungi, lichen, pollen, engine exhaust, and agricultural emissions. Soiling affects conventional photovoltaic systems, concentrated photovoltaics, and concentrated solar (thermal) power. However, the consequences of soiling are higher for concentrating systems than for non-concentrating systems. ^[1] Note that soiling refers to both the process of accumulation and the accumulated material itself.

There are several ways to reduce the effect of soiling. The antisoiling coating ^[2] is most important solution for solar power projects. But water cleaning is the most widely used technique so far due to absence of antisoiling coatings in past. Soiling losses vary largely from region to region, and within regions. Average soiling-induced power losses can be below one percent in regions with frequent rain. ^[3] As of 2018, the estimated global average annual power loss due to soiling is 5% to 10% percent. The estimated soiling-induced revenue loss is 3 – 5 billion euros. ^[1]

Physics of soiling

Soiling is typically caused by the deposition of airborne particles, including, but not limited to, mineral dust (silica, metal oxides, salts), pollen, and soot. However, soiling also includes snow, ice, frost, various kinds of industry pollution, sulfuric acid particulates, bird droppings, falling leaves, agricultural feed dust, and the growth of algae, moss, fungi, lichen, or biofilms of bacteria. ^{[1] [4]} Which of these soiling mechanisms are most prominent depends on the location.

Soiling either blocks the light completely (hard shading), or it lets through some sunlight (soft shading). With soft shading, parts of the transmitted light is scattered. Scattering makes the light diffuse, i.e. the rays go in many different directions. While conventional photovoltaics works well with diffuse light, concentrated solar power and concentrated photovoltaics relies only on the (collimated) light coming directly from the sun. For this reason, concentrated solar power is more sensitive to soiling than conventional photovoltaics. Typical soiling-induced power losses are 8-14 times higher for concentrated solar power than for photovoltaics. ^[5]

Influence of geography and meteorology

Soiling losses vary greatly from region to region, and within regions. ^{[3] [6] [7] [8]}

The rate at which soiling deposits depends on geographical factors such as proximity to deserts, agriculture, industry, and roads, as these are likely to be sources of airborne particles. If a location is close to a source of airborne particles, the risk of soiling losses is high. ^[9]

The soiling rate (see definition below) varies from season to season and from location to location, but is typically between 0%/day and 1%/day. ^[1] However, average deposition rates as high as 2.5%/day have been observed for conventional photovoltaics in China. ^[1] For concentrated solar power, soiling rates as high 5%/day have been observed. ^[1] In regions with high soiling rates, soiling can become a significant contributor to power losses. As an extreme example, the total losses due to soiling of a photovoltaic system in the city of Helwan (Egypt) were observed to reach 66% at one point. ^[10] The soiling in Helwan was attributed to dust from a nearby desert and local industry pollution. Several initiatives to map out the soiling risk of different regions of the world exist. ^{[3] [11] [12]}

Soiling losses also depend on meteorological parameters such as rain, temperature, wind, humidity, and cloud cover. ^[13] The most important meteorological factor is the average frequency of rain, ^[9] since rain can wash soiling off of the solar panels/mirrors. If there is consistent rain throughout the whole year at a given site, the soiling losses are likely to be small. However, light rain and dew can also lead to increased particle adhesion, increasing the soiling losses. ^{[13] [14] [15]} Some climates are favorable for the growth of biological soiling, but it is not known what the decisive factors are. ^[4] The dependence of soiling on climate and weather is a complex matter. As of 2019, it is not possible to accurately predict soiling rates based on meteorological parameters. ^[1]

Quantifying soiling losses

The level of soiling in a photovoltaic system can be expressed with the soiling ratio (SR), defined in the technical standard IEC 61724-1 ^[16] as:

$${\displaystyle SR={\frac {\text{Actual power output}}{\text{Expected power output if clean}}}.}$$

Hence, if ${\displaystyle SR=1}$ there is no soiling, and if ${\displaystyle SR=0}$, there is so much soiling that there is no production in the photovoltaic system. An alternative metric is the soiling loss (SL), which is defined as ${\displaystyle SL=1-SR}$. The soiling loss represents the fraction of energy lost due to soiling.

The soiling deposition rate (or soiling rate) is the rate of change of the soiling loss, typically given in %/day. Note that most sources define the soiling rate to be positive in the case of increasing soiling losses' ^{[1] [17] [18]} but some sources use the opposite sign[NREL]. ^[3]

A procedure for measuring the soiling ratio at photovoltaic systems is given in IEC 61724-1. ^[16] This standard proposes that two photovoltaic devices are used, where one is left to accumulate soil, and the other is held clean. The soiling ratio is estimated by the ratio of the power output of the soiled device to its expected power output if it was clean. The expected power output is calculated using calibration values and the measured short-circuit current of the clean device. This setup is also referred to as a "soiling measurement station", or just "soiling station". ^{[9] [19]}

Methods that estimate soiling ratios and soiling deposition rates of photovoltaic systems without the use of dedicated soiling stations have been proposed, ^{[17] [20] [21]} including methods for systems using bifacial solar cells which introduce new variables and challenges to soiling estimation that monofacial systems don't have. ^[22] These procedures infer soiling ratios based on the performance of the photovoltaic systems. A project for mapping out the soiling losses throughout the United States was started in 2017. ^[3] This project is based on data from both soiling stations and photovoltaic systems, and uses the method proposed in ^[20] to extract soiling ratios and soiling rates.

Mitigation techniques

There are many different options for mitigating soiling losses, ranging from site selection to cleaning to electrodynamic dust removal. The optimal mitigation technique depends on soiling type, deposition rate, water availability, accessibility of the site, and system type. ^[1] For instance, conventional photovoltaics involve different concerns than concentrated solar power, large-scale systems call for different concerns than smaller rooftop systems, and systems with fixed inclination involve different concerns than systems with solar trackers. The most common mitigation techniques are:

• Site selection and system design: The effect of soiling can be mitigated by careful planning during site selection and system design. Within a region, there may be large differences in soiling deposition rates. ^[8] The local variability in soiling deposition rate is mainly decided by the proximity to roads, agriculture, and industry, as well as the prominent wind direction. ^[9] Another important factor is the inclination angle of the solar panels. ^[13] Larger inclination angles lead to less soiling accumulation and a higher likelihood of rain having a cleaning effect. This should be considered in the design phase. If the system is equipped with solar trackers, the solar panels (or mirrors, in the case of concentrated solar power) should be stowed at the maximum inclination angle (or upside down, if possible) during the night. ^[1] In summary, soiling is a concern for the system designers, not only the system operators. ^[1]
• Solar panel design: Solar panels can be designed to minimize the impact of soiling. This includes the use of smaller solar cells (e.g. half-cells), panels without frames (avoiding dirt collection at the edges), or alternative electrical configurations (e.g. more bypass diodes that allow current to pass the soiled parts of the panel). ^[1] In the future, the fraction of solar panels with half-cells and without frames are expected to increase.^{[ citation needed ]}

This means one can expect solar panels to be more resistant to soiling losses in the future.

Wet-chemically etched nanowires and a hydrophobic coating on the surface water droplets was shown to be able to remove 98% of dust particles. ^{[23] [24]}

• Cleaning: The most used approach to mitigate soiling losses is by cleaning the solar panels/mirrors. Cleaning can be manual, semi-automatic, or fully automatic. Manual cleaning involves people using brushes or mops. This requires a low capital investment, but it has a high cost of labor. Semi-automatic cleaning involves people using machines to aid the cleaning, typically a tractor equipped with a rotating brush. ^[25]

This approach requires a higher capital investment, but involves lower cost of labor than manual cleaning. Fully automatic cleaning involves the use of robots that clean the solar panels at night. ^[26]

This approach requires the highest capital cost, but involves no manual labor except for maintenance of the robots. All three methods may or may not use water. Typically, water makes the cleaning more efficient. However, if water is a scarce or expensive resource at the given site, dry cleaning may be preferred. ^[4] See Economic consequences for typical costs of cleaning.

• Anti-soiling coatings: Anti-soiling coatings are coverings that are applied to the surface of solar panels or mirrors in order to reduce the adhesion of dust and dirt. Some anti-soiling coatings are meant to enhance the self-cleaning properties, i.e. the probability that the surface will be cleaned by rain. ^[27]

The coating can be applied to the panels/mirrors during production or retrofitted after they have been installed. As of 2019, no particular anti-soiling technology had been widely adopted, mostly due to a lack of durability. ^[1]

• Electrodynamic screens: Electrodynamic screens are grids of conducting wires that are integrated in the surface of the solar panels or mirrors. Time-varying electromagnetic fields are set up by applying alternating voltages to the grid. The field interacts with the deposited particles, moving them off the surface. This technology is viable if the energy needed to remove the dust is smaller than the energy gained by lowering the soiling loss. As of 2019, this technology has been demonstrated in the lab, but it still remains to be proven in the field. ^[1]
• Electrostatic dust removal ^{[28] [29]}

Economic consequences

The cost of cleaning depends on what cleaning technique is used and the cost of labor at the given location. Furthermore, there is a difference between large-scale power station and rooftop systems. The cost of cleaning of large-scale systems vary from 0.015 euro/m² in the cheapest countries to 0.9 euro/m² in the Netherlands. ^[1] The cost of cleaning of rooftop systems have been reported to be as low as 0.06 euro/m² in China, and as high as 8 euro/m² in the Netherlands. ^[1]

Soiling leads to reduced power production in the affected solar power equipment. Whether or not money is spent on mitigating soiling losses, soiling leads to a reduced revenue for the owners of the system. The magnitude of the revenue loss depends mostly on the cost of soiling mitigation, the soiling deposition rate, and the frequency of rain at the given location. Ilse et al. estimated the global average annual soiling loss to be between 3% and 4% in 2018. ^[1] This estimate was made under the assumption that all solar power systems are cleaned with an optimal fixed frequency. Based on this estimate, the total cost of soiling (including power losses and mitigation costs) in 2018 was estimated to between 3 and 5 billion euros. ^[1] This could grow to between 4 and 7 billion euros by 2023. ^[1] A method to obtain the power loss, energy loss and economic loss due to soiling, directly from PV remote monitoring system time-series data has been discussed in ^[30] which can help the PV asset owners to timely clean the panels.

See also

• Solar Energy
• Solar power
• Photovoltaics
• Photovoltaic system
• Photovoltaic power station
• Photovoltaic system performance
• Solar tracker
• Solar panel
• Solar cell
• Concentrator photovoltaics
• Concentrated solar power
• Heliostat

References

1. Ilse K, Micheli L, Figgis BW, Lange K, Dassler D, Hanifi H, Wolfertstetter F, Naumann V, Hagendorf C, Gottschalg R, Bagdahn J (2019). "Techno-Economic Assessment of Soiling Losses and Mitigation Strategies for Solar Power Generation". Joule. 3 (10): 2303–2321. doi: 10.1016/j.joule.2019.08.019 . hdl: 11573/1625631 .
2. "Home". radsglobal.nl.
3. "Photovoltaic Module Soiling Map". National Renewable Energy Laboratory. 2017-10-11. Retrieved 2020-12-03.
4. Toth S, et al. (2018). "Soiling and cleaning: Initial observations from 5-year photovoltaic glass coating durability study". Solar Energy Materials and Solar Cells. 185: 375–384. doi:10.1016/j.solmat.2018.05.039. hdl: 11573/1625593 . OSTI   1458821. S2CID   103082921 . Retrieved 2020-12-10.
5. Bellmann P, et al. (2020). "Comparative modeling of optical soiling losses for CSP and PV energy systems". Solar Energy. 197: 229–237. Bibcode:2020SoEn..197..229B. doi:10.1016/j.solener.2019.12.045. S2CID   214380908 . Retrieved 2020-12-04.
6. Li X, Mauzerall D, Bergin M (2020). "Global reduction of solar power generation efficiency due to aerosols and panel soiling". Nature Sustainability. 3 (9): 720–727. Bibcode:2020NatSu...3..720L. doi:10.1038/s41893-020-0553-2. S2CID   219976569 . Retrieved 2020-12-04.
7. Boyle L, et al. (2017). "Regional and National Scale Spatial Variability of Photovoltaic Cover Plate Soiling and Subsequent Solar Transmission Losses". IEEE Journal of Photovoltaics. 7 (5): 1354–1361. doi: 10.1109/JPHOTOV.2017.2731939 .
8. Gostein M, et al. (2018). "Local Variability in PV Soiling Rate". 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC). pp. 3421–3425. doi:10.1109/PVSC.2018.8548049. ISBN   978-1-5386-8529-7. S2CID   54442001 . Retrieved 2020-12-04.
9. Micheli L, Muller M (2017). "An investigation of the key parameters for predicting PV soiling losses". Progress in Photovoltaics: Research and Applications. 25 (4): 291–307. doi: 10.1002/pip.2860 . hdl: 11573/1625654 .
10. Hassan A, Rahoma U, Elminir H (2005). "Effect of airborne dust concentration on the performance of PV modules". Journal of Astronomical Society Egypt. 13: 24–38.
11. Herrmann J, et al. (2014). "Modeling the soiling of glazing materials in arid regions with geographic information systems (GIS)". Energy Procedia. 48: 715–720. Bibcode:2014EnPro..48..715H. doi: 10.1016/j.egypro.2014.02.083 .
12. Ascencio-Vásquez J, et al. (2019). "Methodology of Köppen-Geiger-Photovoltaic climate classification and implications to worldwide mapping of PV system performance". Solar Energy. 191: 672–685. Bibcode:2019SoEn..191..672A. doi: 10.1016/j.solener.2019.08.072 .
13. Gupta V, et al. (2019). "Comprehensive review on effect of dust on solar photovoltaic system and mitigation techniques". Solar Energy. 191: 596–622. Bibcode:2019SoEn..191..596G. doi:10.1016/j.solener.2019.08.079. S2CID   204183366 . Retrieved 2020-12-04.
14. Figgis B, et al. (2017). "Time-of-day and Exposure Influences on PV Soiling". 2017 International Renewable and Sustainable Energy Conference (IRSEC). pp. 1–4. doi:10.1109/IRSEC.2017.8477575. ISBN   978-1-5386-2847-8. S2CID   52917434 . Retrieved 2018-10-09.
15. Ilse K, et al. (2018). "Dew as a Detrimental Influencing Factor for Soiling of PV Modules". IEEE Journal of Photovoltaics. 9 (1): 287–294. doi:10.1109/JPHOTOV.2018.2882649. S2CID   56718679 . Retrieved 2018-12-12.
16. IEC 61724-1:2017 – Photovoltaic system performance – Part 1: Monitoring (1.0 ed.). International Electrotechnical Commission (IEC). 2017.
17. Kimber A, et al. (2006). "The Effect of Soiling on Large Grid-Connected Photovoltaic Systems in California and the Southwest Region of the United States". 2006 IEEE 4th World Conference on Photovoltaic Energy Conference. Vol. 2. pp. 2391–2395. doi:10.1109/WCPEC.2006.279690. ISBN   1-4244-0016-3. S2CID   9613142 . Retrieved 2018-06-13.
18. Micheli L, et al. (2020). "Extracting and Generating PV Soiling Profiles for Analysis, Forecasting, and Cleaning Optimization". IEEE Journal of Photovoltaics. 10 (1): 197–205. doi:10.1109/JPHOTOV.2019.2943706. hdl: 11573/1625584 . OSTI   1593090. S2CID   209457861 . Retrieved 2020-12-07.
19. Gostein M, Düster T, Thuman C (2015). "Accurately measuring PV soiling losses with soiling station employing module power measurements". 2015 IEEE 42nd Photovoltaic Specialist Conference (PVSC). pp. 1–4. doi:10.1109/PVSC.2015.7355993. ISBN   978-1-4799-7944-8. S2CID   39240632 . Retrieved 2020-12-03.
20. Deceglie M, Micheli L, Muller M (2018). "Quantifying Soiling Loss Directly from PV Yield". IEEE Journal of Photovoltaics. 8 (2): 547–551. doi: 10.1109/JPHOTOV.2017.2784682 .
21. Skomedal A, Deceglie M (2020). "Combined Estimation of Degradation and Soiling Losses in Photovoltaic Systems". IEEE Journal of Photovoltaics. 10 (6): 1788–1796. doi: 10.1109/JPHOTOV.2020.3018219 . hdl: 11250/2689259 .
22. Grau-Luque, Enric; Antonanzas-Torres, Fernando; Escobar, Rodrigo (15 October 2018). "Effect of soiling in bifacial PV modules and cleaning schedule optimization". Energy Conversion and Management. 174: 615–625. Bibcode:2018ECM...174..615L. doi:10.1016/j.enconman.2018.08.065. ISSN   0196-8904.
23. American Associates, Ben-Gurion University of the Negev (9 December 2019). "Researchers develop new method to remove dust on solar panels". Ben-Gurion University of the Negev . Retrieved 3 January 2020.
24. Heckenthaler, Tabea; Sadhujan, Sumesh; Morgenstern, Yakov; Natarajan, Prakash; Bashouti, Muhammad; Kaufman, Yair (3 December 2019). "Self-Cleaning Mechanism: Why Nanotexture and Hydrophobicity Matter". Langmuir. 35 (48): 15526–15534. doi:10.1021/acs.langmuir.9b01874. ISSN   0743-7463. PMID   31469282. S2CID   201673096.
25. Jones R, et al. (2016). "Optimized Cleaning Cost and Schedule Based on Observed Soiling Conditions for Photovoltaic Plants in Central Saudi Arabia". IEEE Journal of Photovoltaics. 6 (3): 730–738. doi:10.1109/JPHOTOV.2016.2535308. S2CID   20829937 . Retrieved 2018-06-04.
26. Deb D, Brahmbhatt N (2018). "Review of yield increase of solar panels through soiling prevention, and a proposed water-free automated cleaning solution". Renewable and Sustainable Energy Reviews. 82: 3306–3313. doi:10.1016/j.rser.2017.10.014 . Retrieved 2019-06-06.
27. Midtdal K, Jelle B (2013). "Self-cleaning glazing products: A state-of-the-art review and future research pathways". Solar Energy Materials and Solar Cells. 109: 126–141. doi:10.1016/j.solmat.2012.09.034. hdl: 11250/2436345 . Retrieved 2020-12-07.
28. "Static electricity can keep desert solar panels free of dust". New Scientist. Retrieved 18 April 2022.
29. Panat, Sreedath; Varanasi, Kripa K. (11 March 2022). "Electrostatic dust removal using adsorbed moisture–assisted charge induction for sustainable operation of solar panels". Science Advances. 8 (10): eabm0078. Bibcode:2022SciA....8M..78P. doi:10.1126/sciadv.abm0078. ISSN   2375-2548. PMC   8916732 . PMID   35275728.
30. Ghosh, S.; Roy, J. N.; Chakraborty, C. (2022). "A model to determine soiling, shading and thermal losses from PV yield data". Clean Energy. 6 (2): 372–391. doi: 10.1093/ce/zkac014 .

External links

• Photovoltaic Module Soiling Map (US)