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Soiling monitoring modelling for photovoltaic system

dc.contributor.authorPagani, Vitor Henrique
dc.contributor.authorLos, Nelson Anthony
dc.contributor.authorMaidana, Wellington
dc.contributor.authorLeitão, Paulo
dc.contributor.authorCasaro, Marcio M.
dc.contributor.authorNascimento, Claudinor B.
dc.date.accessioned2022-01-14T10:29:55Z
dc.date.available2022-01-14T10:29:55Z
dc.date.issued2021
dc.description.abstractSoiling on photovoltaic panels is a factor that has a significant impact on the photovoltaic production. The monitoring of the soiling index appears as a relevant alternative for the maintenance of solar systems. This work proposes a soiling index modelling for photovoltaic systems based on two input variables, namely the solar radiation and the generated current, providing a simple, programmable and reliable way to check the efficiency and be able to establish the parameters for cleaning the system. The study was based on the adaptation of an existing mathematical modelling, that besides to estimate the soiling index also allows to establish an optimal point for cleaning. The proposed model is compared with the results provided by the PVSyst software aiming its validation. The achieved results show that, despite the developed system only consider two input variables, it presents a low relative error, i.e. 2.07%, when compared to the PVSyst software, allowing to conclude that the proposed modelling system is valid and presents excellent reliability, having a vast applicability in the monitoring of solar producers of any model or size.pt_PT
dc.description.sponsorshipThis work has been supported by FCT- Funda¸c˜ao para a Ciˆencia e Tecnologia within the Project Scope: UIDB/05757/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPagani, Vitor H.; Los, Nelson A.; Maidana, Wellington; Leitão, Paulo; Casaro, Marcio M.; Nascimento, Claudinor B. (2021). Soiling monitoring modelling for photovoltaic system. In CONTROLO 2020: Proceedings of the 14th APCA International Conference on Automatic Control and Soft Computing. p. 592-601. ISBN 978-3-030-58652-2pt_PT
dc.identifier.doi10.1007/978-3-030-58653-9_57pt_PT
dc.identifier.isbn978-3-030-58652-2
dc.identifier.urihttp://hdl.handle.net/10198/24648
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSoilingpt_PT
dc.subjectPhotovoltaic systemspt_PT
dc.subjectSolar panelspt_PT
dc.subjectModelingpt_PT
dc.subjectMaintenance managementpt_PT
dc.titleSoiling monitoring modelling for photovoltaic systempt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.endPage601pt_PT
oaire.citation.startPage592pt_PT
oaire.citation.volume695pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMaidana
person.familyNameLeitão
person.givenNameWellington
person.givenNamePaulo
person.identifierA-8390-2011
person.identifier.ciencia-id911B-D630-E7B0
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-5361-3850
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridD-1215-2019
person.identifier.scopus-author-id57214233736
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication54998ee3-dd67-4090-a5ab-db3d2b57f4b4
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication.latestForDiscovery54998ee3-dd67-4090-a5ab-db3d2b57f4b4
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublication.latestForDiscovery6e01ddc8-6a82-4131-bca6-84789fa234bd

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