Estimation of power output and thermodynamic analysis of standard and finned photovoltaic panels

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dc.authoriddurak, ahmet/0000-0001-7550-7795
dc.authoridAkyol, Ugur/0000-0003-3707-0929
dc.authorwosiddurak, ahmet/ABY-5871-2022
dc.contributor.authorAkyol, Ugur
dc.contributor.authorAkal, Dincer
dc.contributor.authorDurak, Ahmet
dc.date.accessioned2024-06-12T11:12:22Z
dc.date.available2024-06-12T11:12:22Z
dc.date.issued2023
dc.departmentTrakya Üniversitesien_US
dc.description.abstractThis study deals with the estimation of power output and also thermodynamic analysis of two different photovoltaic panels. One of the panels is a standard photovoltaic module without fins (SPV), and the other one is a photovoltaic module with fins (FPV). First, a multi-layer feed-forward neural network structure is designed to estimate the daily power produced by photovoltaic modules. Furthermore, energy and exergy analyses were carried out to compare the performance of SPV and FPV panels. According to the thermodynamic analysis results using the experimental data obtained for two days (July 3, 2020 and August 4, 2020), it was calculated that the energy efficiency increased by a maximum of 8.77% and the exergy efficiency increased by a maximum of 25.9% in the FPV panel compared to the SPV panel. Moreover, considering the data obtained for each day during three months (July, August, and September), the total energy production increase in the FPV panel is approximately 6.7% compared to the SPV panel.en_US
dc.identifier.doi10.1080/15567036.2021.1928337
dc.identifier.endpage8457en_US
dc.identifier.issn1556-7036
dc.identifier.issn1556-7230
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85107371393en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage8438en_US
dc.identifier.urihttps://doi.org/10.1080/15567036.2021.1928337
dc.identifier.urihttps://hdl.handle.net/20.500.14551/23147
dc.identifier.volume45en_US
dc.identifier.wosWOS:000656327700001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofEnergy Sources Part A-Recovery Utilization And Environmental Effectsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPhotovoltaicen_US
dc.subjectPassive Coolingen_US
dc.subjectFinen_US
dc.subjectEnergy Analysisen_US
dc.subjectExergy Analysisen_US
dc.subjectPredictionen_US
dc.subjectArtificial Neural Networken_US
dc.subjectArtificial Neural-Networken_US
dc.subjectExergy Analysesen_US
dc.subjectEnergyen_US
dc.subjectPerformanceen_US
dc.subjectPredictionen_US
dc.subjectModelsen_US
dc.titleEstimation of power output and thermodynamic analysis of standard and finned photovoltaic panelsen_US
dc.typeArticleen_US

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