A comprehensive model of a lead telluride thermoelectric generator

Eurydice Kanimba, Matthew Pearson, Jeff Sharp, David Stokes, Shashank Priya and Zhiting Tian

Energy, 2018, vol. 142, issue C, 813-821

Abstract: Modeling thermoelectric generator (TEG) performances plays an important role in guiding the design of TEGs to achieve better efficiency. However, a rigorous 1-D TEG modeling performance has not yet been conducted, which prevents reliable prediction of TEG performance. In this work, a detailed 1-D model has been developed to take into account temperature-dependent thermoelectric material properties, heat loss due to radiation and conduction, and Thomson effect. A Lead Telluride (PbTe) TEG was chosen as a sample module and the modeling results agree very well with the experimental results, which proves how powerful the presented detailed 1-D model can be used to predict and validate TEG experimental results. TEG power and efficiency were found to have a respective decrease of 10% and 31% from the simplified model at a temperature gradient of 570 K. While heat loss attributable to conduction and radiation were found to be small, the Thomson effect, which is often neglected, was found to significantly reduce TEG performances. The deep analysis enabled by the new model provides useful guidelines to improve the performance of TEGs.

Keywords: Numerical integration of the nonlinear differential equation that governs thermoelectric heat transport; Seebeck power rate; Joule heating; Spatial temperature distribution; Thomson heat dissipation; Heat loss due to radiation and conduction (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:142:y:2018:i:c:p:813-821

DOI: 10.1016/j.energy.2017.10.067

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