2026-09-19T15:59:32Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1389822022-01-15T03:30:48Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
Bulović, Vladimir
Troupe, Anthony
Massachusetts Institute of Technology. Department of Mechanical Engineering
2022-01-14T14:42:35Z
2022-01-14T14:42:35Z
2021-06
2021-06-15T16:17:37.927Z
https://hdl.handle.net/1721.1/138982
Photovoltaic (PV) devices are traditionally optimized through an iterative, top-down engineering approach in which many devices are built, tested, and studied to determine where performance improvements can be made. Researchers typically perform multiple measurements on each device using various manual characterization tools. This practice is ultimately time-intensive, inefficient, and expensive. This thesis documents the development of an automated, large-format characterization tool capable of performing multiple optical measurements simultaneously in order to address existing PV characterization inefficiencies. The resulting prototype demonstrates potential to serve as a high-throughput research tool that could ultimately advance the pace of future PV research.
S.B.
Massachusetts Institute of Technology
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https://rightsstatements.org/page/InC-EDU/1.0/
Design of an Automated, High-Throughput Optical Characterization Tool for Photovoltaics
Thesis
application/pdf
Bachelor
Bachelor of Science in Mechanical Engineering
Publication
unknown
unknown
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<Abstract>Photovoltaic (PV) devices are traditionally optimized through an iterative, top-down engineering approach in which many devices are built, tested, and studied to determine where performance improvements can be made. Researchers typically perform multiple measurements on each device using various manual characterization tools. This practice is ultimately time-intensive, inefficient, and expensive. This thesis documents the development of an automated, large-format characterization tool capable of performing multiple optical measurements simultaneously in order to address existing PV characterization inefficiencies. The resulting prototype demonstrates potential to serve as a high-throughput research tool that could ultimately advance the pace of future PV research.</Abstract>
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