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2 November 2016 Predicting the potential moisture ingress characteristics of polyisobutylene based edge seals (Conference Presentation)
Michael D. Kempe
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Proceedings Volume 9938, Reliability of Photovoltaic Cells, Modules, Components, and Systems IX; 993806 (2016) https://doi.org/10.1117/12.2239915
Event: SPIE Optics + Photonics for Sustainable Energy, 2016, San Diego, California, United States
Abstract
Photovoltaic devices are often sensitive to moisture and must be packaged in such a way as to limit moisture ingress for 25 years or more. Typically, this is accomplished through the use of impermeable front and backsheets (e.g., glass sheets or metal foils). However, this will still allow moisture ingress between the sheets from the edges. Attempts to hermetically seal with a glass frit or similarly welded bonds at the edge have had problems with costs and mechanical strength. Because of this, low diffusivity polyisobutylene materials filled with desiccant are typically used. Although it is well known that these materials will substantially delay moisture ingress, correlating that to outdoor exposure has been difficult. Here, we use moisture ingress measurements at different temperatures and relative humidities to find fit parameters for a moisture ingress model for an edge-seal material. Then, using meteorological data, a finite element model is used to predict the moisture ingress profiles for hypothetical modules deployed in different climates and mounting conditions, assuming no change in properties of the edge-seal as a function of aging.
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© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Michael D. Kempe "Predicting the potential moisture ingress characteristics of polyisobutylene based edge seals (Conference Presentation)", Proc. SPIE 9938, Reliability of Photovoltaic Cells, Modules, Components, and Systems IX, 993806 (2 November 2016); https://doi.org/10.1117/12.2239915
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KEYWORDS
Glasses
Atmospheric modeling
Climate change
Data modeling
Finite element methods
Humidity
Metals
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