Backsheets: Correlation of Long-Term Field Reliability with Accelerated Laboratory Testing
- Case Western Reserve Univ., Cleveland, OH (United States). SDLE Center, Dept. of Materials Science and Engineering; Renewable Energy, Underwriter’s Laboratories, Northbrook, IL 60062
- Case Western Reserve Univ., Cleveland, OH (United States). SDLE Center, Dept. of Materials Science and Engineering
- Arkema Inc., King of Prussia, PA (United States). Fluoropolymers R&D
- National Renewable Energy Lab. (NREL), Golden, CO (United States). National Center for Photovoltaics
- Northeastern Univ., Boston, MA (United States). Mechanical & Industrial Engineering
- National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States). Engineering Laboratory
- Engineering Laboratory, National Institute of Standards & Technology, Gaithersburg, MD 20899
- Underwriters Lab. (UL), Northbrook, IL (United States). Renewable Energy
Our objective is to develop for backsheets a predictive tests and a model based on point-in-time data from analytical techniques and datastreams that are applicable to both outdoor and indoor PV module backsheet studies and are supplemented with meteorology data, climatic and brand/model, and other accessible information. The predictive tests and models will specify indoor and outdoor exposure and evaluation data acquisition criteria, variable selection, and temporal duration and variation so as to be able to predict backsheet performance in various climatic zones. This backsheet performance prediction is based on defined backsheet failures in the field, and is quantified by tracking backsheet degradation in the field so as to determine degradation rates.
- Research Organization:
- Underwriters Laboratories (UL), Northbrook, IL (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- EE0007143
- OSTI ID:
- 1529111
- Report Number(s):
- DOE-UL--0007143
- Country of Publication:
- United States
- Language:
- English
Similar Records
Module Level Exposure and Evaluation Test (MLEET) for Real- world and Laboratory-based PV Modules: Common Data and Analytics for Quantitative Cross-correlation and Validation
Generalized Spatio-Temporal Model of Backsheet Degradation From Field Surveys of Photovoltaic Modules
Drivers for the cracking of multilayer polyamide‐based backsheets in field photovoltaic modules: In‐depth degradation mapping analysis
Technical Report
·
Sun Mar 31 00:00:00 EDT 2019
·
OSTI ID:1529093
Generalized Spatio-Temporal Model of Backsheet Degradation From Field Surveys of Photovoltaic Modules
Journal Article
·
Thu Aug 01 20:00:00 EDT 2019
· IEEE Journal of Photovoltaics
·
OSTI ID:1564097
Drivers for the cracking of multilayer polyamide‐based backsheets in field photovoltaic modules: In‐depth degradation mapping analysis
Journal Article
·
Sun Mar 08 20:00:00 EDT 2020
· Progress in Photovoltaics
·
OSTI ID:1603804