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Fabrication and characterization of transparent, self-cleaning glass covers for solar photovoltaic cells
- Source :
- Materials Letters. 277:128350
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Solar photovoltaic (SPV) cells have become ubiquitous in meeting the increasing global energy demand, but they face major challenge of performance degradation due to dust on the SPV panels. The traditional mechanical methods of cleaning are costly and time consuming. To ameliorate this problem, a “self-cleaning” superhydrophobic coating is laid on the upper glass cover of SPV array that repels water. This promotes droplet roll-off, enabling a very small amount of water to clean the surface. Herein, such a coating on glass has been developed by depositing 10–20 nm silica nanoparticles via a facile sol–gel method on glass surface and grafting a layer of fluoroalkylsilane above it. Surface roughness, wettability and durability of the fabricated coating are characterized through surface profiling, contact angle measurements and droplet impact test, respectively. The treated surface shows an attenuation of 6 ± 1.24% of the incident radiation, while the SPV voltage output is only slightly affected. Moreover, the treated surfaces show significantly better recovery in the SPV-cell performance upon cleansing with a measured quantity of water than that observed with the untreated surface.
- Subjects :
- Materials science
Mechanical Engineering
Photovoltaic system
02 engineering and technology
engineering.material
010402 general chemistry
021001 nanoscience & nanotechnology
Condensed Matter Physics
01 natural sciences
Superhydrophobic coating
0104 chemical sciences
Contact angle
Coating
Mechanics of Materials
engineering
Surface roughness
General Materials Science
Wetting
Composite material
0210 nano-technology
Layer (electronics)
Self-cleaning glass
Subjects
Details
- ISSN :
- 0167577X
- Volume :
- 277
- Database :
- OpenAIRE
- Journal :
- Materials Letters
- Accession number :
- edsair.doi...........6bdeb5e2e3c49b2daff30d93c4745ce0
- Full Text :
- https://doi.org/10.1016/j.matlet.2020.128350