pvdegradationtools
Set of tools to calculate degradation responses and degradation related parameters for PV.
Science Score: 49.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Committers with academic emails
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○Scientific vocabulary similarity
Low similarity (16.7%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Set of tools to calculate degradation responses and degradation related parameters for PV.
Basic Info
- Host: GitHub
- Owner: NREL
- License: other
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://pvdegradationtools.readthedocs.io/
- Size: 106 MB
Statistics
- Stars: 36
- Watchers: 4
- Forks: 20
- Open Issues: 47
- Releases: 16
Topics
Metadata Files
README.md
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PV Degradation Tools (pvdeg)
This repository contains functions for calculating degradation of photovoltaic modules. For example, functions to calculate front and rear relative Humidity, as well as Acceleration Factors. A degradation calculation function is also being developed, considering humidity and spectral irradiances models.
Tutorials
Jupyter Book
For in depth Tutorials you can run online, see our jupyter-book
Clicking on the rocket-icon on the top allows you to launch the journals on Google Colaboratory for interactive mode.
Just uncomment the first line pip install ... to install the environment on each journal if you follow this mode.
Binder
To run these tutorials in Binder, you can click here:
It takes a minute to load the environment.
Locally
You can also run the tutorial locally in a virtual environment, i.e., venv or
miniconda.
Create and activate a new environment, e.g., on Mac/Linux terminal with
venv:python -m venv pvdeg . pvdeg/bin/activateor withconda:conda create -n pvdeg conda activate pvdegInstall
pvdeginto the new environment withpip:python -m pip install pvdegStart a Jupyter session:
jupyter notebook
- Use the file explorer in Jupyter lab to browse to
tutorialsand start the first Tutorial.
Documentation
Documentation is available in ReadTheDocs where you can find more details on the API functions.
Installation
Relative Humidity and Acceleration Factors for Solar Modules releases may be installed using the pip and conda tools. Compatible with Python 3.5 and above.
Install with:
pip install pvdeg
For developer installation, clone the repository, navigate to the folder location and install as:
pip install -e .[all]
License
Contributing
We welcome contributiosn to this software, but please read the copyright license agreement (cla-1.0.md), with instructions on signing it in sign-CLA.md. For questions, email us.
Getting support
If you suspect that you may have discovered a bug or if you'd like to change something about pvdeg, then please make an issue on our GitHub issues page.
Citing
If you use this functions in a published work, please cite:
Holsapple, Derek, Ayala Pelaez, Silvana, Kempe, Michael. "PV Degradation Tools", NREL Github 2020, Software Record SWR-20-71.
And/or the specific release from Zenodo:
Martin Springer, Matthew Brown, Silvana Ovaitt, Tobin Ford, Joseph Karas, Mark Campanelli, Derek M Holsapple, Kevin Anderson, Michael Kempe. (2024). NREL/PVDegradationTools: 0.3.2 (0.3.2). Zenodo. https://doi.org/10.5281/zenodo.11123249
Owner
- Name: National Renewable Energy Laboratory
- Login: NREL
- Kind: organization
- Location: Golden, CO
- Website: http://www.nrel.gov
- Repositories: 599
- Profile: https://github.com/NREL
GitHub Events
Total
- Create event: 49
- Release event: 1
- Issues event: 45
- Watch event: 11
- Delete event: 44
- Member event: 2
- Issue comment event: 121
- Push event: 276
- Pull request review comment event: 62
- Pull request event: 83
- Pull request review event: 86
- Fork event: 13
Last Year
- Create event: 49
- Release event: 1
- Issues event: 45
- Watch event: 11
- Delete event: 44
- Member event: 2
- Issue comment event: 121
- Push event: 276
- Pull request review comment event: 62
- Pull request event: 83
- Pull request review event: 86
- Fork event: 13
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| tobin-ford | t****d@n****v | 202 |
| martin-springer | m****s@g****m | 183 |
| Brown | m****o@g****m | 127 |
| MDKempe | 5****e | 104 |
| Silvana Ovaitt | s****a@n****v | 104 |
| github-actions[bot] | g****] | 67 |
| tobin-ford | t****d@n****v | 40 |
| Kempe | m****e@n****v | 19 |
| Matthew Brown | m****2@e****v | 13 |
| martin-springer | m****s@g****m | 11 |
| AidanWesley | a****y@n****v | 10 |
| Joe Karas | j****s@g****m | 10 |
| Derek M Holsapple | d****1@g****m | 8 |
| Mark Campanelli | m****i@g****m | 8 |
| Brown | m****2@n****v | 5 |
| Matthew Brown | m****2@e****v | 4 |
| dependabot[bot] | 4****] | 2 |
| Matthew Brown | m****2@e****v | 2 |
| Brown | m****2 | 1 |
| Brown | M****n@n****v | 1 |
| Kevin Anderson | k****o@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 72
- Total pull requests: 218
- Average time to close issues: about 1 month
- Average time to close pull requests: 12 days
- Total issue authors: 8
- Total pull request authors: 12
- Average comments per issue: 0.74
- Average comments per pull request: 1.12
- Merged pull requests: 162
- Bot issues: 0
- Bot pull requests: 5
Past Year
- Issues: 35
- Pull requests: 104
- Average time to close issues: 26 days
- Average time to close pull requests: 11 days
- Issue authors: 4
- Pull request authors: 7
- Average comments per issue: 0.8
- Average comments per pull request: 1.38
- Merged pull requests: 63
- Bot issues: 0
- Bot pull requests: 4
Top Authors
Issue Authors
- tobin-ford (27)
- MDKempe (17)
- RDaxini (14)
- martin-springer (8)
- shirubana (2)
- saikatghosh90 (2)
- markcampanelli (1)
- alecote (1)
Pull Request Authors
- martin-springer (62)
- tobin-ford (60)
- RDaxini (39)
- MDKempe (33)
- dependabot[bot] (5)
- jfkaras (5)
- AidanWesley (4)
- shirubana (4)
- markcampanelli (2)
- mcbrown042 (2)
- maxx-mill (1)
- kandersolar (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 38 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 13
- Total maintainers: 2
pypi.org: pvdeg
Pvdeg is a python library that supports the calculation of degradation related parameters for photovoltaic (PV) modules.
- Homepage: https://github.com/NREL/PVDegradationTools
- Documentation: https://pvdegradationtools.readthedocs.io/
- License: BSD-3
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Latest release: 0.5.0
published about 1 year ago
Rankings
Maintainers (2)
Dependencies
- actions/cache v3 composite
- actions/checkout v3 composite
- actions/setup-python v3 composite
- matplotlib ==3.2.1
- numpy ==1.18.4
- pandas ==1.0.3
- python-dateutil ==2.8.1
- pytz ==2020.1
- matplotlib *
- numpy *
- pandas *
- tqdm *
- jupyter-book *
- matplotlib *
- numpy *