Optimization of segmented thermoelectric generator using Taguchi and ANOVA techniques.

ABSTRACT: Recent studies have demonstrated that segmented thermoelectric generators (TEGs) can operate over large thermal gradient and thus provide better performance (reported efficiency up to 11%) as compared to traditional TEGs, comprising of single thermoelectric (TE) material. However, segmented TEGs are still in early stages of development due to the inherent complexity in their design optimization and manufacturability. In this study, we demonstrate physics based numerical techniques along with Analysis of variance (ANOVA) and Taguchi optimization method for optimizing the performance of segmented TEGs. We have considered comprehensive set of design parameters, such as geometrical dimensions of p-n legs, height of segmentation, hot-side temperature, and load resistance, in order to optimize o

SUBMITTER: Kishore RA 

PROVIDER: S-EPMC5711871 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature