| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Materials for Energy Conversion and Storage 2024
|
| Presentation Title |
Gaining Fundamental Insights into Materials Degradation of Fielded Photovoltaic Modules by Combining Multiscale Characterization and Modern Data Science Methods |
| Author(s) |
Kristopher Olan Davis, Dylan J. Colvin, Max Liggett, Jarod Kaltenbaugh, Mengjie Li, Balaashwin Babu, William C. Oltjen, Xuanji Yu, Manjunath Matam, Hubert P. Seigneur, Andrew M. Gabor, Philip J. Knodle, Craig J. Neal, Sudipta Seal, Laura S. Bruckman, Roger H. French |
| On-Site Speaker (Planned) |
Kristopher Olan Davis |
| Abstract Scope |
Photovoltaic (PV) modules are comprised of a number of materials that degrade in different ways and in response to different environmental stressors. Accelerated aging tests attempt to screen for some of these degradation modes, but these tests often fail to capture the complexity of actual field operation wherein multiple stressors are present simultaneously and the duration of exposure is much longer. Therefore, it is important to study PV modules that have degraded in the field and identify possible degradation pathways. This work utilizes a combination of measurements across many length scales to study materials degradation in PV modules, from the full PV arrays featuring many PV modules down to individual materials and interfaces. A variety of measurement techniques are employed and coupled with modern data science techniques (e.g., statistical, machine, and deep learning) to better detect, locate, classify, and fully characterize various degradation modes that occur in the field. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Energy Conversion and Storage, Electronic Materials, Characterization |