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    Multiobjective-Optimization of Photovoltaic/Thermal-Coupled Earth-to-Air Heat Exchanger Systems for Energy Efficiency and Thermal Comfort in Residential Buildings

    Source: Journal of Solar Energy Engineering:;2026:;volume( 148 ):;issue:001
    Author:
    Zhao, Juan
    ,
    Wu, Ritu
    ,
    Huang, Bojing
    ,
    Zhang, Wenjie
    ,
    Mahian, Omid
    DOI: 10.1115/1.4069742
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Against the backdrop of the in-depth advancement of the green transformation and sustainable development of the global energy structure, renewable energy, especially solar, and geothermal energy technologies, with their clean and renewable characteristics, play an irreplaceable and crucial role in achieving carbon reduction targets and ensuring energy security and autonomy. In photovoltaic (PV) systems, elevated panel temperatures significantly impair power conversion efficiency. To mitigate this issue, the present study develops a comprehensive simulation model for a novel energy-efficient residential building that integrates a photovoltaic/thermal (PV/T) system with an earth-to-air heat exchanger (EAHE). The model adopts instantaneous electrical efficiency and the adaptive predicted mean vote (APMV)—representing, respectively, the energy performance of the PV/T subsystem and the indoor thermal comfort—as dual optimization objectives. Key structural parameters influencing system performance are systematically identified, and a multiobjective optimization is conducted using the Nondominated Sorting Genetic Algorithm II (NSGA-II) to determine the optimal design configuration that achieves a balanced enhancement in both energy efficiency and thermal comfort. The optimized design of the system resulted in a maximum increase of 6.3% in average PV panel power efficiency and a maximum increase of 3.31% in average APMV. Multiple optimization objectives are aggregated into a single objective, namely the cumulative net energy consumption. A genetic algorithm is then employed for optimization design to determine the value of the structural variable at which the cumulative net energy consumption is minimized. The cumulative net energy consumption of the optimized system is 2605.94 kWh, which is reduced by 70.69% compared with the original system, and the energy-saving effect is remarkable.
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      Multiobjective-Optimization of Photovoltaic/Thermal-Coupled Earth-to-Air Heat Exchanger Systems for Energy Efficiency and Thermal Comfort in Residential Buildings

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4316140
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    contributor authorZhao, Juan
    contributor authorWu, Ritu
    contributor authorHuang, Bojing
    contributor authorZhang, Wenjie
    contributor authorMahian, Omid
    date accessioned2026-08-23T08:09:02Z
    date available2026-08-23T08:09:02Z
    date copyright2026/02/01
    date issued2026
    identifier issn0199-6231
    identifier othersol-25-1006.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4316140
    description abstractAbstract. Against the backdrop of the in-depth advancement of the green transformation and sustainable development of the global energy structure, renewable energy, especially solar, and geothermal energy technologies, with their clean and renewable characteristics, play an irreplaceable and crucial role in achieving carbon reduction targets and ensuring energy security and autonomy. In photovoltaic (PV) systems, elevated panel temperatures significantly impair power conversion efficiency. To mitigate this issue, the present study develops a comprehensive simulation model for a novel energy-efficient residential building that integrates a photovoltaic/thermal (PV/T) system with an earth-to-air heat exchanger (EAHE). The model adopts instantaneous electrical efficiency and the adaptive predicted mean vote (APMV)—representing, respectively, the energy performance of the PV/T subsystem and the indoor thermal comfort—as dual optimization objectives. Key structural parameters influencing system performance are systematically identified, and a multiobjective optimization is conducted using the Nondominated Sorting Genetic Algorithm II (NSGA-II) to determine the optimal design configuration that achieves a balanced enhancement in both energy efficiency and thermal comfort. The optimized design of the system resulted in a maximum increase of 6.3% in average PV panel power efficiency and a maximum increase of 3.31% in average APMV. Multiple optimization objectives are aggregated into a single objective, namely the cumulative net energy consumption. A genetic algorithm is then employed for optimization design to determine the value of the structural variable at which the cumulative net energy consumption is minimized. The cumulative net energy consumption of the optimized system is 2605.94 kWh, which is reduced by 70.69% compared with the original system, and the energy-saving effect is remarkable.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMultiobjective-Optimization of Photovoltaic/Thermal-Coupled Earth-to-Air Heat Exchanger Systems for Energy Efficiency and Thermal Comfort in Residential Buildings
    typeJournal Paper
    journal volume148
    journal issue1
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.4069742
    treeJournal of Solar Energy Engineering:;2026:;volume( 148 ):;issue:001
    contenttypeFulltext
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