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Survey and Analysis of Digital Thermoelectric-Generator-based Power System

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Conference

2019 ASEE Annual Conference & Exposition

Location

Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

Computing Research II

Tagged Division

Computing and Information Technology

Page Count

15

DOI

10.18260/1-2--33328

Permanent URL

https://peer.asee.org/33328

Download Count

326

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Paper Authors

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Mohammad Rafiq Muqri DeVry University, Pomona

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Dr. Mohammad R. Muqri is a Professor in College of Engineering and Information Sciences at DeVry University. He received his M.S.E.E. degree from University of Tennessee, Knoxville. His research interests include modeling and simulations, algorithmic computing, analog and digital signal processing.

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Eliezer Ochoa Jr.

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Joshua David De Piano

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I graduated Devry with an Electronics Engineering degree in 2016. I have been in the semiconductor industry for a out 10 years. I have 2 kids that keep me very busy and lots of pets.

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Michael G. Milford

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Alan Moses Galvan

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Alireza Kavianpour DeVry University, Pomona

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Dr. Alireza Kavianpour received his PH.D. Degree from University of Southern California (USC). He is currently Senior Professor at DeVry University, Pomona, CA. Dr. Kavianpour is the author and co-author of over forty technical papers all published in IEEE Journals or referred conferences. Before joining DeVry University he was a researcher at the University of California, Irvine and consultant at Qualcom Inc. His main interests are in the areas of embedded systems and computer architecture.

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Abstract

This paper is an attempt to report the modeling, design and build analysis of thermoelectric module (TEM) with realistic conditions for electrical power generation. It gives an insight to static and dynamic modeling with temperature dependent parametric variations and computation of various TEM parameters for modeling power generators. This paper demonstrates the undergraduate engineering technology student-driven research at our university in this arena. It depicts the application of the multi-agent approach which allowed the student team to take full control of the project from inception to completion. The team developed and built a microprocessor based prototype thermo-electric generator for waste heat recovery (module and heat exchanger), computed and analyzed the optimal power delivery by judicious material selection. The dynamic model developed under MATLAB/Simulink environment with a consideration of its dependence with temperature will be discussed. The micro-controller manages and regulates other systems components. The autonomous device control by a micro-controller gives the flexibility to estimate the efficiency, power, voltage and current parameters and help validate the efficacy of the developed model under dynamic operating conditions resulting in optimum thermo-electric power generation. The ultimate design goal is to capture possible latent potential heat energy that tends to get lost from normal industrial mechanism processes thereby save energy and promote the modular design for satellites and space applications. It furnishes an alternative route for green energy with renewed design emphasis on semi-conductor technology instead of traditional analog mechanization. Finally, the results of the survey analyzing this learning methodology will also be discussed. This will go a long way in motivating technology students to conduct potential future research, and reinforcing the best practices for life-long learning

Muqri, M. R., & Ochoa, E., & De Piano, J. D., & Milford, M. G., & Galvan, A. M., & Kavianpour, A. (2019, June), Survey and Analysis of Digital Thermoelectric-Generator-based Power System Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33328

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