Development and Validation of a Physical Model Optimized by Evolutionary Algorithms for the Accurate Estimation of Cell Temperature in Photovoltaic Systems.
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| Title: | Development and Validation of a Physical Model Optimized by Evolutionary Algorithms for the Accurate Estimation of Cell Temperature in Photovoltaic Systems. |
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| Authors: | Dimitrova-Angelova, Doroteya1 (AUTHOR), Fernández, Diego Carmona1,2 (AUTHOR), Godoy, Manuel Calderón1 (AUTHOR), Moreno, Juan Antonio Álvarez1,2 (AUTHOR), González, Juan Félix González2 (AUTHOR) jfelixgg@unex.es |
| Source: | Energies (19961073). May2026, Vol. 19 Issue 10, p2286. 23p. |
| Subject Terms: | *Evolutionary algorithms, *Calibration, *Digital twin, *Thermal properties, *Renewable energy sources, *Temperature measurements, *Computer simulation of heat transfer |
| Abstract: | Accurate photovoltaic cell temperature estimation is critical for maximizing energy management and improving digital twin fidelity in building-integrated solar systems. Classical models, NOCT (Nominal Operating Cell Temperature), King, Skoplaki, and PVsyst/Faiman, provide a practical baseline but exhibit significant limitations when applied to complex, real-world scenarios. These static and linear approaches fail to capture dynamic thermal phenomena such as thermal inertia, nonlinear irradiance effects, and wind-temperature interactions. This paper presents an advanced physical model that incorporates thermal memory effects, sophisticated wind modeling, transient cloud-response mechanisms, and non-linear thermal dependencies. Parameter calibration was performed using a differential evolution algorithm, automatically optimizing the model fit to one year of experimental data from a 2.79 kW pilot installation at the University of Extremadura. The validation results demonstrate consistent improvements across all seasons: RMSE reductions of up to 4.9% and MAE reductions of up to 14.4% compared to classical approaches, with particularly pronounced gains during the summer and autumn. The methodology is readily transferable to diverse installations and climatic contexts, providing a robust framework for developing high-accuracy PV digital twins and enabling early fault detection and operational optimization. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194141401 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development and Validation of a Physical Model Optimized by Evolutionary Algorithms for the Accurate Estimation of Cell Temperature in Photovoltaic Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dimitrova-Angelova%2C+Doroteya%22">Dimitrova-Angelova, Doroteya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fernández%2C+Diego+Carmona%22">Fernández, Diego Carmona</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Godoy%2C+Manuel+Calderón%22">Godoy, Manuel Calderón</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moreno%2C+Juan+Antonio+Álvarez%22">Moreno, Juan Antonio Álvarez</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22González%2C+Juan+Félix+González%22">González, Juan Félix González</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> jfelixgg@unex.es</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2286. 23p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Evolutionary+algorithms%22">Evolutionary algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br />*<searchLink fieldCode="DE" term="%22Thermal+properties%22">Thermal properties</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br />*<searchLink fieldCode="DE" term="%22Temperature+measurements%22">Temperature measurements</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+simulation+of+heat+transfer%22">Computer simulation of heat transfer</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Accurate photovoltaic cell temperature estimation is critical for maximizing energy management and improving digital twin fidelity in building-integrated solar systems. Classical models, NOCT (Nominal Operating Cell Temperature), King, Skoplaki, and PVsyst/Faiman, provide a practical baseline but exhibit significant limitations when applied to complex, real-world scenarios. These static and linear approaches fail to capture dynamic thermal phenomena such as thermal inertia, nonlinear irradiance effects, and wind-temperature interactions. This paper presents an advanced physical model that incorporates thermal memory effects, sophisticated wind modeling, transient cloud-response mechanisms, and non-linear thermal dependencies. Parameter calibration was performed using a differential evolution algorithm, automatically optimizing the model fit to one year of experimental data from a 2.79 kW pilot installation at the University of Extremadura. The validation results demonstrate consistent improvements across all seasons: RMSE reductions of up to 4.9% and MAE reductions of up to 14.4% compared to classical approaches, with particularly pronounced gains during the summer and autumn. The methodology is readily transferable to diverse installations and climatic contexts, providing a robust framework for developing high-accuracy PV digital twins and enabling early fault detection and operational optimization. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194141401 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19102286 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 2286 Subjects: – SubjectFull: Evolutionary algorithms Type: general – SubjectFull: Calibration Type: general – SubjectFull: Digital twin Type: general – SubjectFull: Thermal properties Type: general – SubjectFull: Renewable energy sources Type: general – SubjectFull: Temperature measurements Type: general – SubjectFull: Computer simulation of heat transfer Type: general Titles: – TitleFull: Development and Validation of a Physical Model Optimized by Evolutionary Algorithms for the Accurate Estimation of Cell Temperature in Photovoltaic Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dimitrova-Angelova, Doroteya – PersonEntity: Name: NameFull: Fernández, Diego Carmona – PersonEntity: Name: NameFull: Godoy, Manuel Calderón – PersonEntity: Name: NameFull: Moreno, Juan Antonio Álvarez – PersonEntity: Name: NameFull: González, Juan Félix González IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 10 Titles: – TitleFull: Energies (19961073) Type: main |
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