PVCracks

Investigates the effects of cracks on power loss in photovoltaic (PV) solar cells and tracks crack progression over time.
https://github.com/sandialabs/pvcracks

Category: Renewable Energy
Sub Category: Photovoltaics and Solar Energy

Keywords

electroluminescence image-generation image-segmentation photovoltaics scr-2979 snl-data-analysis

Last synced: about 1 hour ago
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Repository metadata

Si-PV cell crack image recognition, modeling, and power loss prediction

README.md

PVCracks

Latest Release

DOI

License

License: BSD 3-Clause

Overview

PVCracks is the DuraMAT project that investigates the effects of cracks on power loss in photovoltaic (PV) solar cells and tracks crack progression over time. We provide:

  • Open-source cell-level imaging and electrical datasets
  • MultiSolSegment: segmentation of cracks, busbars, and dark areas in electroluminescence (EL) images
  • Variational Autoencoder (VAE): parameterization & clustering of segmented data
  • XGBoost model: estimation of power loss (ΔPMPP) per cell
  • pvspice_lite: spice toolset for simulating current-voltage (I-V) curves and building synthetic module I-Vs (more features to come)

Documentation

Read the Docs

Full online documentation is available at
https://pvcracks.readthedocs.io/en/latest/index.html#

Below is a schematic of the repo’s architecture:

Data & Models

All datasets, trained model weights, and additional resources are hosted on DuraMAT DataHub:
https://datahub.duramat.org/project/pv-crack-stress-and-power-loss

Publications

Updates

Installation

Clone and install:

git clone git@github.com:sandialabs/pvcracks.git
cd pvcracks

# 1. Upgrade pip, setuptools, and wheel
pip install --upgrade pip setuptools wheel

# 2. Install runtime dependencies (see requirements.txt for full list)
pip install -r requirements.txt

# 3. Install pvcracks in editable mode
pip install -e .    # enables intra-project imports

Acknowledgments

Funding was provided as part of the Durable Modules Consortium (DuraMAT), an Energy Materials Network Consortium funded by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Solar Energy Technologies Office under agreement number 32509. The views expressed in this article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains—and the publisher, by accepting the article for publication, acknowledges—that it retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or to allow others to do so, for U.S. Government purposes.

Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and 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.


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Last synced: 3 days ago

Total Commits: 216
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Avg Commits per committer: 21.6
Development Distribution Score (DDS): 0.542

Commits in past year: 172
Committers in past year: 8
Avg Commits per committer in past year: 21.5
Development Distribution Score (DDS) in past year: 0.616

Name Email Commits
Ojas Sanghi o****i@g****m 99
NormanJost 8****t 73
Norman Robin Jost n****t@g****h 15
Norman Robin Jost n****t@g****h 10
Norman Robin Jost n****t@g****h 9
eccoope 1****e 3
bkbyfor@sandia.gov b****r@s****v 3
Norman Robin Jost n****t@g****h 2
Jennifer Braid 6****d 1
Norman Robin Jost n****t@g****h 1

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Total pull requests: 31
Average time to close issues: 9 days
Average time to close pull requests: about 10 hours
Total issue authors: 2
Total pull request authors: 2
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull request: 23
Bot issues: 0
Bot pull requests: 0

Past year issues: 1
Past year pull requests: 20
Past year average time to close issues: N/A
Past year average time to close pull requests: about 1 hour
Past year issue authors: 1
Past year pull request authors: 2
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.0
Past year merged pull request: 12
Past year bot issues: 0
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Top Issue Authors

  • NormanJost (2)
  • williamhobbs (1)

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