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Comparison of different fluid-thermal-electric multiphysics modeling approaches for thermoelectric generator systems.

Authors :
Luo, Ding
Wang, Ruochen
Yan, Yuying
Sun, Zeyu
Zhou, Weiqi
Ding, Renkai
Source :
Renewable Energy: An International Journal. Dec2021, Vol. 180, p1266-1277. 12p.
Publication Year :
2021

Abstract

This work proposes a novel fluid-thermal-electric multiphysics numerical model to predict the performance of thermoelectric generator systems applied to fluid waste heat recovery, with the consideration of multiphysics coupling effects of fluid, thermal, and electric fields. The comprehensive numerical simulations of the thermoelectric generator system are performed via COMSOL coupled solver. Besides, the effect of the neglect of parasitic heat on the output performance is investigated through the comparison with numerical results predicted by ANSYS and COMSOL separate solver, wherein the fluid-thermal field is computed first, then the thermal-electric field. The results show that the output power predicted by COMSOL separate solver is 8.52% lower than that predicted by COMSOL coupled solver at the inlet air temperature of 550 K and inlet air velocity of 30 m/s due to the neglect of parasitic heat. The output performance of the TEG system predicted by ANSYS is less affected by inlet air boundary conditions than that predicted by COMSOL. Finally, the experimental results show that the fluid-thermal-electric multiphysics model solved by the COMSOL coupled solver shows the lowest output power deviation of 2.81%. The proposed model can guide the numerical modeling of the thermoelectric generator system applied to fluid waste heat recovery. Based on the proposed fluid-thermal-electric multiphysics numerical models, we investigated the performance of a thermoelectric generator (TEG) system using exhaust gas as the heat source and investigated the effect of the neglect of parasitic heat on the output performance. [Display omitted] [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09601481
Volume :
180
Database :
Academic Search Index
Journal :
Renewable Energy: An International Journal
Publication Type :
Academic Journal
Accession number :
153031250
Full Text :
https://doi.org/10.1016/j.renene.2021.09.033