Correlation of Advanced Accelerated Stress-Testing Procedures with Field Data through Advanced Characterization and Data Analytics
DuraMAT will leverage state-of-the-art, accelerated stress testing (AST), materials characterization, simulation, and data analytics to drive the establishment of best practices and validation of AST protocols for the photovoltaic (PV) industry.
We will specifically investigate the correlation between different AST testing protocols and fielded modules by characterizing changes in the backsheet material properties.
National Renewable Energy Laboratory, SLAC, Sandia National Laboratories, and Lawrence Berkeley National Laboratory
The approach developed by this work can be applied to additional materials systems, providing a new capability for DuraMAT stakeholders to use for discovering, de-risking, and enabling the commercialization of new materials and designs.
This capability is available to national labs, universities, research institutions, and industry.
Owen-Bellini et al “Combined-Accelerated Stress Testing for Advanced Reliability Assessment of Photovoltaic Modules” 35th EUPVSEC, 2018
Owen-Bellini et al “Correlation of Advanced Accelerated Stress Testing with Polyamide-based Photovoltaic Backsheet Field-failure” 46th IEEE PVSC, 2019
Meert et al, “Computational Modeling of Photovoltaic Mini-Modules Undergoing Accelerated Stress Testing”, 47th IEEE PVSC, 2020
Schelhas et al, “Towards Validation of Advanced Accelerated Stress Testing Protocols through Failure Analysis and Materials Characterization”, 47th IEEE PVSC, 2020
Owen-Bellini et al, “An Overview of Backsheet Materials for Photovoltaic Modules,” DuraMAT Webinar, May 2020
To learn more about this project, contact Michael Owen-Bellini.