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Proceedings Paper

Photovoltaic lifetime and degradation science statistical pathway development: acrylic degradation
Author(s): Laura S. Bruckman; Nicholas R. Wheeler; Ian V. Kidd; Jiayang Sun; Roger H. French
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Paper Abstract

In order to optimize and extend the life of photovoltaics (PV) modules, scienti c and mechanistic statistical analytics must be performed on a large sample of materials, components and systems. Statistically signi - cant relationships were investigated between di erent mechanistically based variables to develop a statistical pathway diagram for the degradation of acrylic that is important in concentrating photovoltaics. The statisti- cally signi cant relationships were investigated using lifetime and degradation science using a domain knowledge semi-supervised generalized structural equation modeling (semi-gSEM. Predictive analytics and prognostics are informed from the statistical pathway diagram in order to predictively understand the lifetime of PV modules in di erent stress conditions and help with these critical lifetime technologies.

Paper Details

Date Published: 24 September 2013
PDF: 8 pages
Proc. SPIE 8825, Reliability of Photovoltaic Cells, Modules, Components, and Systems VI, 88250D (24 September 2013); doi: 10.1117/12.2024717
Show Author Affiliations
Laura S. Bruckman, Case Western Reserve Univ. (United States)
Nicholas R. Wheeler, Case Western Reserve Univ. (United States)
Ian V. Kidd, Case Western Reserve Univ. (United States)
Jiayang Sun, Case Western Reserve Univ. (United States)
Roger H. French, Case Western Reserve Univ. (United States)


Published in SPIE Proceedings Vol. 8825:
Reliability of Photovoltaic Cells, Modules, Components, and Systems VI
Neelkanth G. Dhere; John H. Wohlgemuth; Kevin W. Lynn, Editor(s)

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