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Solar Cell Imaging: A Gateway to Stem Disciplines

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Conference

2014 ASEE Annual Conference & Exposition

Location

Indianapolis, Indiana

Publication Date

June 15, 2014

Start Date

June 15, 2014

End Date

June 18, 2014

ISSN

2153-5965

Conference Session

NSF Grantees’ Poster Session

Tagged Division

Division Experimentation & Lab-Oriented Studies

Tagged Topic

NSF Grantees Poster Session

Page Count

16

Page Numbers

24.1091.1 - 24.1091.16

DOI

10.18260/1-2--23024

Permanent URL

https://peer.asee.org/23024

Download Count

82

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Paper Authors

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Michael G. Mauk Drexel University

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Richard Chiou Drexel University (Eng. & Eng. Tech.)

biography

M. Eric Carr Drexel University Orcid 16x16 orcid.org/0000-0003-3444-0883

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Mr. Eric Carr is a full-time Laboratory Manager and part-time adjunct instructor with Drexel University’s Department of Engineering Technology. Eric assists faculty members with the development and implementation of various Engineering Technology courses. A graduate of Old Dominion University’s Computer Engineering Technology program and Drexel's College of Engineering, Eric enjoys finding innovative ways to use microcontrollers and other technologies to enhance Drexel’s Engineering Technology course offerings. Eric is currently pursuing a Ph.D in Computer Engineering at Drexel, and is an author of several technical papers in the field of Engineering Technology Education.

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Abstract

Imaging of Solar Cells: A Gateway to Teaching STEM DisciplinesIn this project, we are using image processing (both visible, near infrared, and far infrared) to studyvarious aspects of solar cells including their materials, device operation, defects, variability, andreliability. Laboratory projects using low-cost fluorescent cameras, visible and near-IR cameras, and far-infrared thermal cameras are used to characterize the grain structure, defects, surface roughness,reflectivity, electroluminescence, photoluminescence, and photovoltaic operation of solar cell materials(e.g., monocrystalline and multicrystalline silicon wafers), thin-film and nano solar cells, commercialsilicon solar cells, and photovoltaic modules. Students can import captured images into MATLAB orother widely-available image processing software for analysis and interpretation. Topical laboratorymodules and projects are being developed suitable for on-line delivery.

Mauk, M. G., & Chiou, R., & Carr, M. E. (2014, June), Solar Cell Imaging: A Gateway to Stem Disciplines Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--23024

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