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dc.contributor.authorSmestad, GP
dc.contributor.authorGermer, TA
dc.contributor.authorAlrashidi, H
dc.contributor.authorFernández, EF
dc.contributor.authorDey, S
dc.contributor.authorBrahma, H
dc.contributor.authorSarmah, N
dc.contributor.authorGhosh, A
dc.contributor.authorSellami, N
dc.contributor.authorHassan, IAI
dc.contributor.authorDesouky, M
dc.contributor.authorKasry, A
dc.contributor.authorPesala, B
dc.contributor.authorSundaram, S
dc.contributor.authorAlmonacid, F
dc.contributor.authorReddy, KS
dc.contributor.authorMallick, TK
dc.contributor.authorMicheli, L
dc.date.accessioned2020-09-30T14:33:50Z
dc.date.issued2020-01-09
dc.description.abstractThe accumulation of soiling on photovoltaic (PV) modules affects PV systems worldwide. Soiling consists of mineral dust, soot particles, aerosols, pollen, fungi and/or other contaminants that deposit on the surface of PV modules. Soiling absorbs, scatters, and reflects a fraction of the incoming sunlight, reducing the intensity that reaches the active part of the solar cell. Here, we report on the comparison of naturally accumulated soiling on coupons of PV glass soiled at seven locations worldwide. The spectral hemispherical transmittance was measured. It was found that natural soiling disproportionately impacts the blue and ultraviolet (UV) portions of the spectrum compared to the visible and infrared (IR). Also, the general shape of the transmittance spectra was similar at all the studied sites and could adequately be described by a modified form of the Ångström turbidity equation. In addition, the distribution of particles sizes was found to follow the IEST-STD-CC 1246E cleanliness standard. The fractional coverage of the glass surface by particles could be determined directly or indirectly and, as expected, has a linear correlation with the transmittance. It thus becomes feasible to estimate the optical consequences of the soiling of PV modules from the particle size distribution and the cleanliness value.en_GB
dc.identifier.citationVol. 10, article 58en_GB
dc.identifier.doi10.1038/s41598-019-56868-z
dc.identifier.urihttp://hdl.handle.net/10871/123042
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttps://doi.org/10.17632/2pcpmp22fxen_GB
dc.rights© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en_GB
dc.titleModelling photovoltaic soiling losses through optical characterizationen_GB
dc.typeArticleen_GB
dc.date.available2020-09-30T14:33:50Z
dc.descriptionThis is the final version. Available on open access from Nature Research via the DOI in this recorden_GB
dc.descriptionData availability; The datasets generated and analysed during the current study are available from the corresponding authors and in the Mendeley data repository, https://doi.org/10.17632/2pcpmp22fxen_GB
dc.identifier.journalScientific Reportsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-10-30
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-09-30
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-09-30T14:31:29Z
refterms.versionFCDVoR
refterms.dateFOA2020-09-30T14:33:57Z
refterms.panelBen_GB
refterms.depositExceptionpublishedGoldOA


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© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this
article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the
copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.