Loading…

Maximizing Performance of Microelectronic Thermoelectric Generators With Parasitic Thermal and Electrical Resistances

Microelectronic thermoelectric (TE) generators ( \mu TEGs), which are one potential solution to powering energy autonomous integrated circuits (ICs), are often performance limited because of parasitic electrical and thermal resistances in the \mu TEG circuit. Parasitic performance loss can be parti...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on electron devices 2021-05, Vol.68 (5), p.2434-2439
Main Authors: Dhawan, Ruchika, Madusanka, Prabuddha, Hu, Gangyi, Maggio, Kenneth, Edwards, Hal, Lee, Mark
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Microelectronic thermoelectric (TE) generators ( \mu TEGs), which are one potential solution to powering energy autonomous integrated circuits (ICs), are often performance limited because of parasitic electrical and thermal resistances in the \mu TEG circuit. Parasitic performance loss can be particularly severe for \mu TEGs using materials with relatively low TE figure-of-merit, such as silicon (Si). In such cases, careful attention must be paid to optimizing the entire \mu TEG circuit, not just the TE material properties. Here, a quantitative model of \mu TEG device performance is developed that includes all significant electrical and thermal parasitics commonly encountered in IC-compatible \mu TEGs. The model gives a pair of coupled quadratic equations that can be analytically or numerically solved to determine power generation and efficiency. For given parasitic resistance and material property values, the model shows that the ratio (called here the packing fraction) of cross-sectional area occupied by TE elements to total cross-sectional area for heat flow per thermopile can be designed to maximize either power or efficiency, but not both simultaneously. For realistic material and device parameters, the optimum packing fraction is often only 1%-10%, lower than what is used in many \mu TEG designs. The model accounts for the reported power generation of some example \mu TEGs and provides guidance toward significant performance improvement.
ISSN:0018-9383
1557-9646
DOI:10.1109/TED.2021.3067624