2023
DOI: 10.1016/j.eswa.2023.120816
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Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques

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Cited by 6 publications
(3 citation statements)
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“…Abrasion tests were performed according to standard UNI EN 1096-2 on the Gardner Abrasion Tester equipped with a 10-mm wide felt insert with a density of 0.52 g/cm 2 . Prior to the tests, samples were washed in distilled water to remove impurities, then the tests were conducted with a weight experienced by the samples of 116 g. To assess abrasion resistance, WCA analysis was performed in 3 moments: (1) prior to the tests, (2) after 150 double strokes (back and forth), and (3) after 300 double strokes.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Abrasion tests were performed according to standard UNI EN 1096-2 on the Gardner Abrasion Tester equipped with a 10-mm wide felt insert with a density of 0.52 g/cm 2 . Prior to the tests, samples were washed in distilled water to remove impurities, then the tests were conducted with a weight experienced by the samples of 116 g. To assess abrasion resistance, WCA analysis was performed in 3 moments: (1) prior to the tests, (2) after 150 double strokes (back and forth), and (3) after 300 double strokes.…”
Section: Methodsmentioning
confidence: 99%
“…Photovoltaic (PV) capacity has reached 1 TW milestone in 2022 and is expected to double it in 2025, [1] with projections seeing the PV sector providing up to 25% of the world's energy in 2050. [2] This is due to the cost decline of PV panels with module prices having fallen 85% since 2010 and related electricity costs predicted to get cheaper by 40-50% by 2035. [3] Large PV installations are being installed in areas closer to the equator where irradiation is greater which translates into greater energy e ciencies and competitive costs.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, several researchers from different regions have investigated the soiling effect on the PV module's performance. For instance, a new approach was suggested in the work of Araujo et al 57 to evaluate the dust and dirt accumulation on PV modules via a machine learning approach to enhance power production and efficiency of PV technologies. Five different machine learning models were employed.…”
Section: Literature On Soiling Impact On Pv and Csp Performancementioning
confidence: 99%