MULTI-OBJECTIVE OPTIMIZATION STUDY OF PHOTOVOLTAIC THERMOELECTRIC COUPLING SYSTEM

Yang Qixiu; Zhang Chenyu; Xu Hongtao

doi:10.19912/j.0254-0096.tynxb.2024-1092

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (10) : 276-284. DOI: 10.19912/j.0254-0096.tynxb.2024-1092

MULTI-OBJECTIVE OPTIMIZATION STUDY OF PHOTOVOLTAIC THERMOELECTRIC COUPLING SYSTEM

Yang Qixiu, Zhang Chenyu, Xu Hongtao

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Abstract

A mathematical model of the PV-thermoelectric coupling system is established based on thermal resistance theory. The improved multi-objective particle swarm optimization （MOPSO） algorithm is adopted, with maximum efficiency and output power as the optimization objectives. Simultaneously, the design variables include the cross-sectional area of the hot and cold sides of the thermoelectric element, the height of the thermoelectric element, the load resistance, and the concentrator ratio. The effects of different flow rates of nanofluids on the optimization results are also discussed. The results indicate that maximum efficiency and output power constrain each other and exhibit a non-linear relationship. Furthermore, the optimized performance of the coupled system surpasses that of a single photovoltaic system significantly, with efficiency and output power being maximally improved by 22.44% and 12.33% respectively compared to a single photovoltaic system. Moreover, the impact of increasing the nanofluid flow rate on system performance is not consistently beneficial. The coupled system performance is significantly influenced by the thermoelectric structure. An element height of approximately 1.073 mm is more compatible with this system. The system performance of non-equal cross-section thermoelectric elements is significantly better than that of equal cross-section elements. Maximum efficiency is achieved when S equals 2.27. TOPSIS effectively balances the efficiency and output power of the coupled system. The output power of the optimal compromise scheme increases by 283.01% compared to the efficiency maximization scheme, with only a 14.36% reduction in efficiency.

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solar energy / thermoelectricity / multiobjective optimization / photovoltaic-thermoelectric coupled system / particle swarm algorithm

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Yang Qixiu, Zhang Chenyu, Xu Hongtao. MULTI-OBJECTIVE OPTIMIZATION STUDY OF PHOTOVOLTAIC THERMOELECTRIC COUPLING SYSTEM[J]. Acta Energiae Solaris Sinica. 2025, 46(10): 276-284 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1092

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