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An analytical model for performance prediction and optimization of thermoelectric generators with varied leg cross-sections

机译：不同腿部横截面的热电发电机性能预测和优化分析模型

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摘要

With the improvement on materials performance gradually reaching its bottleneck, more and more works focus on optimizing the device structures to seek further performance enhancement of thermoelectric (TE) devices. This paper proposed an analytical model to calculate the performance of thermoelectric generators (TEGs) with varied leg cross-sections considering temperature-dependent material properties. The explicit expressions of output power and efficiency are derived and the model is verified by finite element method (FEM). Furthermore, the optimization of leg geometry for higher device performance is performed based on the presented model, the results show that the key to maximum output power is to minimize the leg resistance; and increasing the leg volume may simultaneously raise the output power and efficiency. In addition, we apply the presented model to optimize the leg shape of a commercial TEG module and find that the optimized geometry can simultaneously achieve an enhancement up to 43.1% for output power and 9.67% for efficiency. The presented model thus may be useful in designing high-performance TEGs and shed considerable light on the principles of TEG design.
机译：随着材料性能的改进逐渐达到其瓶颈，越来越多的作品侧重于优化设备结构，以寻求热电（TE）器件的进一步性能增强。本文提出了一种分析模型，以计算热电发电机（TEG）与考虑温度依赖性材料特性的不同腿横截面的性能。推导出输出功率和效率的显式表达，并通过有限元方法（FEM）验证模型。此外，基于所提出的模型执行腿几何形状的优化，结果表明，最大输出功率的关键是最小化腿部电阻;并增加腿部体积可以同时提高输出功率和效率。此外，我们应用所提出的模型以优化商用TEG模块的腿部形状，并发现优化的几何形状可以同时实现高达43.1％的增强功率，效率为9.67％。因此，所呈现的模型可用于设计高性能TEG，并在TEG设计的原理上表现相当大的光。

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