Abstract
SAND2024-00922O
This software uses electroluminescence images to predict power loss due to cell cracks in photovoltaic modules. The software will incorporate trained variational autoencoder(s) to parameterize cell cracks detected in electroluminescence images of photovoltaic modules and relate cracks to electrical properties; reduced-order models of finite element simulations of electrical behavior of photovoltaic modules under thermomechanical stresses; reduced-order models of stress distributions; inside photovoltaic modules resulting from x-ray topography experiments; and image segmentation and splining methods to analyze x-ray topography measurements of cracked photovoltaic cells.
Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
- Developers:
-
Hartley, James [1][2][3] ; Braid, Jennifer [1][2][3] ; Pierce, Benjamin [1][2][3] ; Cooper, Emma [1][2][3] ; Jost, Norman [1][2][3]
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Release Date:
- 2024-03-12
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Python 3
- Version:
- 0.1.0
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:NA0003525
- Code ID:
- 128155
- Site Accession Number:
- SCR #2979
- Research Org.:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Country of Origin:
- United States
Citation Formats
Hartley, James, Braid, Jennifer, Pierce, Benjamin, Cooper, Emma, and Jost, Norman.
pvcracks.
Computer Software.
https://github.com/sandialabs/pvcracks.
USDOE.
12 Mar. 2024.
Web.
doi:10.11578/dc.20240606.4.
Hartley, James, Braid, Jennifer, Pierce, Benjamin, Cooper, Emma, & Jost, Norman.
(2024, March 12).
pvcracks.
[Computer software].
https://github.com/sandialabs/pvcracks.
https://doi.org/10.11578/dc.20240606.4.
Hartley, James, Braid, Jennifer, Pierce, Benjamin, Cooper, Emma, and Jost, Norman.
"pvcracks." Computer software.
March 12, 2024.
https://github.com/sandialabs/pvcracks.
https://doi.org/10.11578/dc.20240606.4.
@misc{
doecode_128155,
title = {pvcracks},
author = {Hartley, James and Braid, Jennifer and Pierce, Benjamin and Cooper, Emma and Jost, Norman},
abstractNote = {SAND2024-00922O
This software uses electroluminescence images to predict power loss due to cell cracks in photovoltaic modules. The software will incorporate trained variational autoencoder(s) to parameterize cell cracks detected in electroluminescence images of photovoltaic modules and relate cracks to electrical properties; reduced-order models of finite element simulations of electrical behavior of photovoltaic modules under thermomechanical stresses; reduced-order models of stress distributions; inside photovoltaic modules resulting from x-ray topography experiments; and image segmentation and splining methods to analyze x-ray topography measurements of cracked photovoltaic cells.
Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.},
doi = {10.11578/dc.20240606.4},
url = {https://doi.org/10.11578/dc.20240606.4},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240606.4}},
year = {2024},
month = {mar}
}