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Maximum efficiencies and parametric optimum designs of concentrating photovoltaic cell/heat engine systems with three‐band spectrum split
International Journal of Energy Research ( IF 4.6 ) Pub Date : 2019-06-24 , DOI: 10.1002/er.4626
Zhimin Yang 1 , Xiaohang Chen 1 , Wei Shen 1 , Guoxing Lin 1 , Jincan Chen 1
Affiliation  

The irreversible model of a concentrating photovoltaic cell/heat engine system with three‐band spectrum splitting is established for the further prediction of the conversion efficiency of photovoltaic/thermal systems, in which the internal and external irreversible losses are considered. An update efficiency of the spectrum splitting system is derived, from which the maximum efficiency of the whole system is calculated. The influences of the area ratio of two subsystems on the systemic performance are analyzed in detail. The reasonable ranges of the area ratio are given. The maximum efficiency and the corresponding critical parameters are obtained under different operating conditions. It is found that the introduction of the area ratio is significant for accurate predictions of systemic performances and the maximum efficiency can attain 77.64%, which significantly exceeds that of an individual concentrating photovoltaic cell and solar‐driven heat engine at the same concentration condition. The performance characteristics of the two‐band spectrum splitting system including the photovoltaic cell and heat engine may be directly obtained from the present model. Moreover, the performances of three‐ and two‐band spectrum splitting systems are compared, and consequently, the advantages of the three‐band spectrum splitting system are revealed.

中文翻译:

具有三频段频谱划分的聚光光伏电池/热力发动机系统的最大效率和参数优化设计

建立了具有三波段频谱分裂的聚光光伏电池/热力发动机系统的不可逆模型,以进一步预测光伏/热力系统的转换效率,其中考虑了内部和外部不可逆损耗。推导了频谱分裂系统的更新效率,由此计算出整个系统的最大效率。详细分析了两个子系统的面积比对系统性能的影响。给出了面积比的合理范围。在不同的运行条件下可获得最大效率和相应的关键参数。发现面积比的引入对于准确预测系统性能具有重要意义,最大效率可以达到77.64%,在相同的集中度条件下,这大大超过了单个集中式光伏电池和太阳能驱动的热机。可以从本模型直接获得包括光伏电池和热机在内的两频段频谱分离系统的性能特征。此外,比较了三频段和二频段频谱分离系统的性能,从而揭示了三频段频谱分裂系统的优点。
更新日期:2019-06-24
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