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Effect of electrical operating conditions on thermal behavior of PV modules: Numerical and experimental analysis

dc.contributor.authorOsama, Amr
dc.contributor.authorTina , Giuseppe Marco
dc.contributor.authorGagliano , Antonio
dc.contributor.authorJiménez-Castillo , Gabino
dc.contributor.authorMuñoz-Rodríguez, Francisco José
dc.date.accessioned2025-04-11T10:41:34Z
dc.date.available2025-04-11T10:41:34Z
dc.date.issued2025
dc.description.abstractThe rapid growth of photovoltaic (PV) energy has the potential to transform the global energy landscape. However, the intermittent nature of solar power presents significant challenges to grid integration, such as overgeneration and curtailment. Consequently, PV systems may operate at points other than the maximum power point (MPP). Monitoring the thermal behavior of photovoltaic systems is critical due to its impact on productivity and system health. Most studies focus on meteorological variables, often overlooking the influence of electrical operating states on thermal performance. Thus the objective is to evaluate the accuracy of existing thermal models from the literature and widely used specialized software tools—alongside their commonly cited coefficients against different electrical operating status (EOS). This study investigates the thermal behavior of PV modules under different EOS: short-circuited (PVset-1), open-circuited (PVset-2), and operating at MPP (PVset-3). The experiment was conducted over four months at Jaén University campus in Spain. Results showed the short-circuited module's temperature was 6.90 °C higher, and the open-circuited module's temperature was 3.67 °C higher than the MPP module. Thermographic investigations revealed multiple hotspots in the short-circuited set. These hotspots can severely impact the module's long-term reliability and efficiency. The analysis of thermal models considering these operating states indicated an overestimation of the MPP module's temperature. However, the Keddouda model demonstrated high accuracy potential, with an average deviation of less than 3.4 %, particularly at high irradiance levels. These findings highlight the necessity of considering EOS in thermal models to enhance the accuracy and reliability of PV system performance assessments.
dc.description.sponsorshipThis work has been supported by the Italian National Ph.D. in Photovoltaics, CURRICULUM C: Monitoring and Diagnosis has been received. Also, support by MUR, Italy funds in the frame of PRIN 2020 “A Holistic Monitoring and Diagnostic Tool for Photovoltaic Generators (HOTSPHOT)” project (CUP:E63C2001116000) and Grant TED2021-131137B-I00 “Aportación a la Transición Ecológica en el sector Industrial a través del Autoconsumo Fotovoltaico” funded by MICIU/AEI/10.13039/501100011033 and European Union Next Generation EU/PRTR.
dc.identifier.issn1879-3398
dc.identifier.other10.1016/j.solmat.2025.113625
dc.identifier.uriwww.sciencedirect.com/science/article/pii/S0927024825002260
dc.identifier.urihttps://hdl.handle.net/10953/4934
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofSolar Energy Materials and Solar Cells [2025]; [287]:[113625]
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectThermal model
dc.subjectTemperature
dc.subjectShort circuit
dc.subjectOpen circuit
dc.subjectMaximum power point
dc.subjectPerformance
dc.subject.udc53.096
dc.titleEffect of electrical operating conditions on thermal behavior of PV modules: Numerical and experimental analysis
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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