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

Mohammad Rafiq Muqri; Eliezer Ochoa; Joshua David De Piano; Michael G. Milford; Alan Moses Galvan; Alireza Kavianpour

Download Paper | Permalink

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: 962

Paper Authors

biography

Mohammad Rafiq Muqri DeVry University, Pomona

visit author page

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.

visit author page

author page

Eliezer Ochoa Jr.

biography

Joshua David De Piano

visit author page

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.

visit author page

author page

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.

visit author page

Download Paper | Permalink

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

Citation
Format

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

TY - CPAPER
AB - 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

AU - Mohammad Rafiq Muqri
AU - Eliezer Ochoa Jr.
AU - Joshua David De Piano
AU - Michael G. Milford
AU - Alan Moses Galvan
AU - Alireza Kavianpour
CY - Tampa, Florida
DA - 2019/06/15
PB - ASEE Conferences
TI - Survey and Analysis of Digital Thermoelectric-Generator-based Power System
UR - https://peer.asee.org/33328
DO - 10.18260/1-2--33328
ER -