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    Impact of Thermal Mismatch on Photovoltaic Module Performance: A Novel Modeling Approach and Configuration Analysis

    Source: Journal of Dynamic Systems, Measurement, and Control:;2026:;volume( 148 ):;issue:005::page 162
    Author:
    Fazaa, Imed
    ,
    Brahim, Taoufik
    ,
    Abdelati, Riadh
    ,
    Jemni, Abdelmajid
    DOI: 10.1115/1.4071138
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. This study investigates the effects of uneven temperature distribution on the performance of photovoltaic (PV) modules in series, parallel, series–parallel, and parallel–series electrical configurations. A novel cell-level mathematical model is introduced, which uniquely integrates the IEC 60891 translation standard with cell-level diode equation solving to predict performance under specified, nonuniform temperature patterns. The results quantitatively demonstrate that hybrid configurations (series–parallel and parallel–series) significantly mitigate thermal mismatch losses compared to pure series or parallel connections. For a representative gradient where half the cells operate at 50 °C and the remainder at 25 °C, the hybrid topologies reduce power loss by approximately 30–50% relative to a pure series string. This highlights their superior tolerance to the thermal nonuniformity commonly found in field installations due to junction box heating or mounting effects. The work underscores that configuration selection and thermal management are critical design levers for minimizing energy loss in large-scale PV systems, where perfect thermal uniformity is unattainable. Experimental validation shows good agreement with the simulation model.
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      Impact of Thermal Mismatch on Photovoltaic Module Performance: A Novel Modeling Approach and Configuration Analysis

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4316746
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    contributor authorFazaa, Imed
    contributor authorBrahim, Taoufik
    contributor authorAbdelati, Riadh
    contributor authorJemni, Abdelmajid
    date accessioned2026-08-23T08:34:17Z
    date available2026-08-23T08:34:17Z
    date copyright2026/09/01
    date issued2026
    identifier issn0022-0434
    identifier otherds-25-1280.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4316746
    description abstractAbstract. This study investigates the effects of uneven temperature distribution on the performance of photovoltaic (PV) modules in series, parallel, series–parallel, and parallel–series electrical configurations. A novel cell-level mathematical model is introduced, which uniquely integrates the IEC 60891 translation standard with cell-level diode equation solving to predict performance under specified, nonuniform temperature patterns. The results quantitatively demonstrate that hybrid configurations (series–parallel and parallel–series) significantly mitigate thermal mismatch losses compared to pure series or parallel connections. For a representative gradient where half the cells operate at 50 °C and the remainder at 25 °C, the hybrid topologies reduce power loss by approximately 30–50% relative to a pure series string. This highlights their superior tolerance to the thermal nonuniformity commonly found in field installations due to junction box heating or mounting effects. The work underscores that configuration selection and thermal management are critical design levers for minimizing energy loss in large-scale PV systems, where perfect thermal uniformity is unattainable. Experimental validation shows good agreement with the simulation model.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleImpact of Thermal Mismatch on Photovoltaic Module Performance: A Novel Modeling Approach and Configuration Analysis
    typeJournal Paper
    journal volume148
    journal issue5
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4071138
    journal fristpage162
    journal lastpage165
    page4
    treeJournal of Dynamic Systems, Measurement, and Control:;2026:;volume( 148 ):;issue:005
    contenttypeFulltext
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