Date Approved

8-17-2023

Graduate Degree Type

Thesis

Degree Name

Engineering (M.S.E.)

Degree Program

School of Engineering

First Advisor

Brian Krug

Second Advisor

Karl Brakora

Third Advisor

Sanjivan Manoharan

Academic Year

2022/2023

Abstract

Implementation of thermoelectric generators (TEGs) as a power source for embedded systems has increased with the push toward alternative and renewable energy sources. Thermoelectric generators produce electrical energy from thermal energy through the Seebeck effect. The Seebeck effect is a phenomenon seen when a temperature difference at a joint of two different metals generates a DC current and electromotive force [1]. This has made TEGs desirable for embedded system applications because it would allow for extended wireless operation. TEGs are based on solid-state technology which means they do not consist of any moving parts which reduces wear and tear with extended use. However, TEGs convert energy inefficiently, making them less practical for many systems. This report focuses on the analysis and development of a TEG-powered wearable health monitor device. A mathematical model is developed to determine how mass and temperature gradients from human skin to ambient temperature affect the power output from the TEG system. Certain peripherals are explored to determine application limits. The measurements explored within this study include the user’s temperature, the ambient temperature, user step tracking, and USB and Bluetooth interfaces.

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