4.5 Article

Effects of Photovoltaic Module Materials and Design on Module Deformation Under Load

期刊

IEEE JOURNAL OF PHOTOVOLTAICS
卷 10, 期 3, 页码 838-843

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPHOTOV.2020.2971139

关键词

Load modeling; Uncertainty; Fasteners; Laminates; Strain; Glass; Predictive models; Finite-element modeling; mechanical load; simulation; uncertainty quantification; validation

资金

  1. Durable Modules Consortium (DuraMAT), an Energy Materials Network Consortium - U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Solar Energy Technologies Office

向作者/读者索取更多资源

Quasi-static structural finite-element models of an aluminum-framed crystalline silicon photovoltaic module and a glass-glass thin-film module were constructed and validated against experimental measurements of deflection under uniform pressure loading. Specific practices in the computational representation of module assembly were identified as influential to matching experimental deflection observations. Additionally, parametric analyses using Latin hypercube sampling were performed to propagate input uncertainties related to module materials, dimensions, and tolerances into uncertainties in simulated deflection. Sensitivity analyses were performed on the uncertainty quantification datasets using linear correlation coefficients and variance-based sensitivity indices to elucidate key parameters influencing module deformation. Results identified edge tape and adhesive material properties as being strongly correlated to module deflection, suggesting that optimization of these materials could yield module stiffness gains at par with the conventionally structural parameters, such as glass thickness. This exercise verifies the applicability of finite-element models for accurately predicting mechanical behavior of solar modules and demonstrates a workflow for model-based parametric uncertainty quantification and sensitivity analysis. Applications of this capability include the assessment of field environment loads, derivation of representative loading conditions for reduced-scale testing, and module design optimization, among others.

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