Taguchi optimization of bismuth-telluride based thermoelectric cooler

Ravi Anant Kishore, Prashant Kumar, Mohan Sanghadasa, Shashank Priya

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


In the last few decades, considerable effort has been made to enhance the figure-of-merit (ZT) of thermoelectric (TE) materials. However, the performance of commercial TE devices still remains low due to the fact that the module figure-of-merit not only depends on the material ZT, but also on the operating conditions and configuration of TE modules. This study takes into account comprehensive set of parameters to conduct the numerical performance analysis of the thermoelectric cooler (TEC) using a Taguchi optimization method. The Taguchi method is a statistical tool that predicts the optimal performance with a far less number of experimental runs than the conventional experimental techniques. Taguchi results are also compared with the optimized parameters obtained by a full factorial optimization method, which reveals that the Taguchi method provides optimum or near-optimum TEC configuration using only 25 experiments against 3125 experiments needed by the conventional optimization method. This study also shows that the environmental factors such as ambient temperature and cooling coefficient do not significantly affect the optimum geometry and optimum operating temperature of TECs. The optimum TEC configuration for simultaneous optimization of cooling capacity and coefficient of performance is also provided.

Original languageEnglish (US)
Article number025109
JournalJournal of Applied Physics
Issue number2
StatePublished - Jul 14 2017

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy


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