Functional Graded Germanium-Lead Chalcogenide-Based Thermoelectric Module for Renewable Energy Applications

Functional Graded Germanium-Lead Chalcogenide-Based Thermoelectric Module for Renewable Energy Applications
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DOI:
10.1002/aenm.201500272
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发表时间:
2015-06-03
影响因子:
27.8
通讯作者:
Gelbstein, Yaniv
Gelbstein, Yaniv
中科院分区:
材料科学1区
文献类型:
--
作者:
Hazan, Eden;Ben-Yehuda, Ohad;Gelbstein, Yaniv

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通过使用具有尽可能高的品质因数ZT值的材料,可以实现高的热电转换效率。此外,通过适当的几何优化,包括使用功能梯度材料(FGM)技术,可以实现更高的性能。本文报道了一种先进的基于相分离(PbSn0.05Te)(0.92)(PbS)(0.08)矩阵的n型功能梯度热电材料。为了估算该材料的热电性能,结合前人报道的p型Ge0.87Pb0.13Te材料的无量纲优值系数为2.2,建立了有限元热电模型。结果预测,对于所研究的热电偶,非常令人印象深刻的热电效率为14%,比之前报道的分别在50摄氏度和500摄氏度的冷结和热结温度下工作的热电效率高出20%以上。根据模型的几何优化条件制作的热电偶对模型预测进行了验证,与理论计算结果吻合较好,从而接近了较高的技术准备水平。
High thermoelectric conversion efficiencies can be achieved by making use of materials with, as high as possible, figure of merit, ZT, values. Moreover, even higher performance is possible with appropriate geometrical optimization including the use of functionally graded materials (FGM) technology. Here, an advanced n-type functionally graded thermoelectric material based on a phase-separated (PbSn0.05Te)(0.92)(PbS)(0.08) matrix is reported. For assessment of the thermoelectric potential of this material, combined with the previously reported p-type Ge0.87Pb0.13Te showing a remarkable dimensionless figure of merit of 2.2, a finite-element thermoelectric model is developed. The results predict, for the investigated thermoelectric couple, a very impressive thermoelectric efficiency of 14%, which is more than 20% higher than previously reported values for operating under cold and hot junction temperatures of 50 degrees C and 500 degrees C, respectively. Validation of the model prediction is done by a thermoelectric couple fabricated according to the model's geometrical optimization conditions, showing a good agreement to the theoretically calculated results, hence approaching a higher technology readiness level.