Multi-objective thermal analysis of a thermoelectric device: Influence of geometric features on device characteristics

Multi-objective thermal analysis of a thermoelectric device: Influence of geometric features on device characteristics
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DOI:
10.1016/j.energy.2014.08.041
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发表时间:
2014-12
期刊:
影响因子:
9
通讯作者:
Amin Ibrahim;S. Rahnamayan;Miguel Vargas Martin;B. Yilbas
Amin Ibrahim;S. Rahnamayan;Miguel Vargas Martin;B. Yilbas
中科院分区:
工程技术1区
文献类型:
--
作者:
Amin Ibrahim;S. Rahnamayan;Miguel Vargas Martin;B. Yilbas

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正确评估热电发电机的几何特征对于设计具有改进的性能特征(例如高效率和输出功率)的装置是重要的。在本研究中,三个国家的最先进的多目标进化算法,即NSGA-II(非支配排序遗传算法-II),GDE 3(广义差分进化第三代),和SMPSO(速度约束多目标粒子群优化)被用来优化的热电发电机的几何特征,以提高效率和输出功率,同时结合不同的操作条件。评估器械几何特征的参数包括形状因子和针长度尺寸,而操作参数包括温度比和外载荷参数。热分析,结合几何特征和操作参数的设备之前,介绍了优化研究。这些发现与公开文献中报告的结果进行了验证。结果表明,形状因子和引脚长度尺寸对器件性能有显著影响。增大形状因子(S≤ 0.5)首先使热效率增大,达到最大值(约17%),并且形状因子(S≥ 0.5)的增大使热效率显著降低(约8%)。器件输出功率的行为类似于形状因子的小增量的效率,只要形状因子的进一步增加不影响器件的输出功率。一个独特的设计配置是为热电发电机的一个固定的操作条件,在这种情况下,热效率和输出功率的设备达到高的值。
Proper assessment of geometric features of a thermoelectric generator is important to design devices with improved performance features such as high efficiency and output power. In the present study, three the-state-of-the-art multi-objective evolutionary algorithms, namely, NSGA-II (Non-dominated Sorting Genetic Algorithm-II), GDE3 (Generalized Differential Evolution generation 3), and SMPSO (Speed-constrained Multi-objective Particle Swarm Optimization) are used to optimize the geometric features of a thermoelectric generator for improved efficiency and output power while incorporating different operating conditions. The parameters assessing geometric features of the device include shape factor and pin length size while operating parameters include temperature ratio and external load parameter. Thermal analysis incorporating geometric features and operating parameters of the device is introduced prior to the optimization study. The findings are validated against the results reported in the open literature. It is found that shape factor and pin length size have significant effect on the device performance. Increasing shape factor (S≤ 0.5) first increases thermal efficiency to reach its maximum (∼17%), and furthermore, an increase in shape factor (S≥ 0.5) lowers thermal efficiency significantly (∼8%). Device output power behaves similar to that of efficiency for small increment in shape factor, provided that further increase in shape factor does not influence output power of the device. A unique design configuration is present for a fixed operating condition of a thermoelectric generator; in which case, thermal efficiency and output power of the device attain high values.