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Title: Viscoelastic Material Characterization and Modeling of Photovoltaic Module Packaging Materials for Direct Finite-Element Method Input

Abstract

Numerical tools, such as the finite-element method, are increasingly used to design and evaluate the photovoltaic (PV) modules, providing for the reduction of development time and improved performance and reliability. However, high-fidelity material models are necessary to accurately model the complex structural behavior of the involved packaging materials. A common simplification used in recent years is to model the polymer materials (i.e., encapsulant and backsheet) as linear elastic, which will lead to inaccurate results. Therefore, in this work, we present a thorough characterization of the time- and temperature-dependent mechanical response of predominant PV module encapsulant and backsheet materials. Based on this material characterization, we developed and experimentally validated generalized Maxwell models to describe each material's viscoelastic response. In addition, we included measurements of the coefficient of thermal expansion and presented all material models in such a fashion for direct input into commercial finite-element method modeling software.

Authors:
; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
OSTI Identifier:
1665865
Report Number(s):
NREL/JA-5K00-76278
MainId:6257;UUID:53a7a728-595e-ea11-9c31-ac162d87dfe5;MainAdminID:18537
DOE Contract Number:  
DE-AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
IEEE Journal of Photovoltaics
Additional Journal Information:
Journal Volume: 10; Journal Issue: 5
Country of Publication:
United States
Language:
English
Subject:
41 EE - Solar Energy Technologies Office (EE-4S); photovoltaic; reliability; modeling; mechanical; FEM; viscoelastic; viscoplastic; finite element method; module

Citation Formats

Bosco, Nicholas, Springer, Martin, and He, Xin. Viscoelastic Material Characterization and Modeling of Photovoltaic Module Packaging Materials for Direct Finite-Element Method Input. United States: N. p., 2020. Web. doi:10.1109/JPHOTOV.2020.3005086.
Bosco, Nicholas, Springer, Martin, & He, Xin. Viscoelastic Material Characterization and Modeling of Photovoltaic Module Packaging Materials for Direct Finite-Element Method Input. United States. https://doi.org/10.1109/JPHOTOV.2020.3005086
Bosco, Nicholas, Springer, Martin, and He, Xin. 2020. "Viscoelastic Material Characterization and Modeling of Photovoltaic Module Packaging Materials for Direct Finite-Element Method Input". United States. https://doi.org/10.1109/JPHOTOV.2020.3005086.
@article{osti_1665865,
title = {Viscoelastic Material Characterization and Modeling of Photovoltaic Module Packaging Materials for Direct Finite-Element Method Input},
author = {Bosco, Nicholas and Springer, Martin and He, Xin},
abstractNote = {Numerical tools, such as the finite-element method, are increasingly used to design and evaluate the photovoltaic (PV) modules, providing for the reduction of development time and improved performance and reliability. However, high-fidelity material models are necessary to accurately model the complex structural behavior of the involved packaging materials. A common simplification used in recent years is to model the polymer materials (i.e., encapsulant and backsheet) as linear elastic, which will lead to inaccurate results. Therefore, in this work, we present a thorough characterization of the time- and temperature-dependent mechanical response of predominant PV module encapsulant and backsheet materials. Based on this material characterization, we developed and experimentally validated generalized Maxwell models to describe each material's viscoelastic response. In addition, we included measurements of the coefficient of thermal expansion and presented all material models in such a fashion for direct input into commercial finite-element method modeling software.},
doi = {10.1109/JPHOTOV.2020.3005086},
url = {https://www.osti.gov/biblio/1665865}, journal = {IEEE Journal of Photovoltaics},
number = 5,
volume = 10,
place = {United States},
year = {2020},
month = {7}
}