A new predictive model for a photovoltaic module's surface temperature

dc.contributor.authorSilva, Domisley Dutra [UNESP]
dc.contributor.authorMarson, Vinicius [UNESP]
dc.contributor.authorde Souza, Reinaldo Rodrigues
dc.contributor.authorde Oliveira, Jeferson Diehl
dc.contributor.authorSilva, João Batista Campos [UNESP]
dc.contributor.authorCardoso, Elaine Maria [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversity of Minho
dc.contributor.institutionCenter of Innovation and Technology
dc.date.accessioned2023-07-29T13:29:10Z
dc.date.available2023-07-29T13:29:10Z
dc.date.issued2022-11-01
dc.description.abstractThe current study developed an analytical model to predict the PV module's operating temperature based on an experimental database, which considers cell temperature, local meteorological data (irradiance, ambient temperature, wind velocity, and humidity), voltage, and current generated by the photovoltaic system associated with the purely resistive load. Based on the analysis of the 172-day database, it was possible to compare the most used correlations in the literature with the analytical model developed in the current work. For all conditions, the model showed a better response to climate variation – with 100% of the data within an error band of ± 20% and an absolute mean percentage error of 3.1% – predicting well the PV module's operating temperature for both sky conditions (clear or cloudy) and demonstrated that the thermal capacity of the PV module to climatic variations should not be neglected. Moreover, the new model considered the PV module's thermal response capacity to include the variations in the incident solar irradiance caused by the presence of clouds (shading effect). By considering a global heat capacity as a mean value of the heat capacities of the layers of the PV module, the term transient – generally neglected in several works – is considered in the energy equation in the current work, which gives a better response to the variations in the incident radiation.en
dc.description.affiliationUNESP - São Paulo State University School of Engineering Post-Graduation Program in Mechanical Engineering, Av. Brasil, 56, Ilha Solteira
dc.description.affiliationMetrics Mechanical Engineering Department University of Minho, Campus de Azurém
dc.description.affiliationFSG - University Center Center of Innovation and Technology Department of Mechanical Engineering, Os Dezoito do Forte, 2366
dc.description.affiliationUNESP - São Paulo State University School of Engineering
dc.description.affiliationUnespUNESP - São Paulo State University School of Engineering Post-Graduation Program in Mechanical Engineering, Av. Brasil, 56, Ilha Solteira
dc.description.affiliationUnespUNESP - São Paulo State University School of Engineering
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2013/15431-7
dc.description.sponsorshipIdFAPESP: 2019/02566-8
dc.description.sponsorshipIdFAPESP: 2021/08818-9
dc.description.sponsorshipIdCNPq: 309848/2020-2
dc.description.sponsorshipIdCNPq: 458702/2014-5
dc.format.extent15206-15220
dc.identifierhttp://dx.doi.org/10.1016/j.egyr.2022.11.094
dc.identifier.citationEnergy Reports, v. 8, p. 15206-15220.
dc.identifier.doi10.1016/j.egyr.2022.11.094
dc.identifier.issn2352-4847
dc.identifier.scopus2-s2.0-85142193141
dc.identifier.urihttp://hdl.handle.net/11449/247908
dc.language.isoeng
dc.relation.ispartofEnergy Reports
dc.sourceScopus
dc.subjectEnvironmental effect
dc.subjectOperating temperature
dc.subjectPhotovoltaic solar energy
dc.subjectPredictive models
dc.subjectThermal capacity
dc.titleA new predictive model for a photovoltaic module's surface temperatureen
dc.typeArtigo
unesp.author.orcid0000-0001-5250-820X[3]
unesp.author.orcid0000-0003-4751-0588[4]
unesp.author.orcid0000-0001-7812-6357[5]
unesp.author.orcid0000-0002-3676-143X 0000-0002-3676-143X[6]
unesp.departmentEngenharia Mecânica - FEISpt

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