| Name | wombat JSON |
| Version |
0.9.6
JSON |
| download |
| home_page | None |
| Summary | Windfarm operations and maintenance cost-benefit analysis tool |
| upload_time | 2024-12-12 00:44:20 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <3.13,>=3.9 |
| license | Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. 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| keywords |
python3
wind-energy
operations-maintenance
discrete-event-simulation
simulation
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
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No Travis.
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|
# WOMBAT: Windfarm Operations & Maintenance cost-Benefit Analysis Tool
[](https://www.osti.gov/biblio/1894867)
[](https://badge.fury.io/py/wombat)
[](https://codecov.io/gh/WISDEM/WOMBAT)
[](https://opensource.org/licenses/Apache-2.0)
[](https://mybinder.org/v2/gh/WISDEM/WOMBAT/main?filepath=examples)
[](https://wisdem.github.io/WOMBAT)
[](https://github.com/pre-commit/pre-commit)
[](https://github.com/psf/black)
[](https://pycqa.github.io/isort/)
This library provides a tool to simulate the operation and maintenance phase (O&M) of
distributed, land-based, and offshore windfarms using a discrete event simultaion
framework.
WOMBAT is written around the [`SimPy`](https://gitlab.com/team-simpy/simpy) discrete
event simulation framework. Additionally, this is supported using a flexible and modular
object-oriented code base, which enables the modeling of arbitrarily large (or small)
windfarms with as many or as few failure and maintenance tasks that can be encoded.
Please note that this is still heavily under development, so you may find some functionality
to be incomplete at the current moment, but rest assured the functionality is expanding.
With that said, it would be greatly appreciated for issues or PRs to be submitted for
any improvements at all, from fixing typos (guaranteed to be a few) to features to
testing.
If you use this library please cite our NREL Technical Report:
```bibtex
@techreport{hammond2022wombat,
title = {Windfarm Operations and Maintenance cost-Benefit Analysis Tool (WOMBAT)},
author = {Hammond, Rob and Cooperman, Aubryn},
abstractNote = {This report provides technical documentation and background on the newly-developed Wind Operations and Maintenance cost-Benefit Analysis Tool (WOMBAT) software. WOMBAT is an open-source model that can be used to obtain cost estimates for operations and maintenance of land-based or offshore wind power plants. The software was designed to be flexible and modular to allow for implementation of new strategies and technological innovations for wind plant maintenance. WOMBAT uses a process-based simulation approach to model day-to-day operations, repairs, and weather conditions. High-level outputs from WOMBAT, including time-based availability and annual operating costs, are found to agree with published results from other models.},
doi = {10.2172/1894867},
url = {https://www.osti.gov/biblio/1894867},
place = {United States},
year = {2022},
month = {10},
institution = {National Renewable Energy Lab. (NREL)},
}
```
## WOMBAT in Action
There a few Jupyter notebooks to get users up and running with WOMBAT in the `examples/`
folder, but here are a few highlights:
> **Note**
> In v0.6 the results will diverge significantly under certain modeling conditions from
> past versions due to substantial model upgrades on the backend and new/updated
> features to better specify how repairs are managed.
* Dinwoodie, et al. replication for `wombat` can be found in the
`examples folder <https://github.com/WISDEM/WOMBAT/blob/main/examples/dinwoodie_validation.ipynb>`_.
* IEA Task 26
`validation exercise <https://github.com/WISDEM/WOMBAT/blob/main/examples/iea_26_validation.ipynb>`_.
* Presentations: `slides <https://github.com/WISDEM/WOMBAT/blob/main/presentation_material/>`_.
## Setup
### Requirements
* Python 3.9 through 3.12
### Environment Setup
Download the latest version of [Miniconda](https://docs.conda.io/en/latest/miniconda.html)
for the appropriate OS. Follow the remaining
[steps](https://conda.io/projects/conda/en/latest/user-guide/install/index.html#regular-installation)
for the appropriate OS version.
Using conda, create a new virtual environment:
```console
conda create -n <environment_name> python=3.11
conda activate <environment_name>
conda install -c anaconda pip
# activate the environment
conda activate <environment_name>
# to deactivate
conda deactivate
```
### Installation
Once in your desired environment, WOMBAT can be installed from PyPI via `pip install`
or from source.
#### Pip
This option is best for those working with the latest release, or including WOMBAT as
a tool in a workflow without the desire to modify the source code.
```console
pip install wombat
```
#### From Source
This option is ideal for users that wish to work with the examples, modify the source
code, and/or contribute back to the project.
Install it directly into an activated virtual environment:
```console
git clone https://github.com/WISDEM/WOMBAT.git
cd wombat
python setup.py install
# Alternatively:
pip install .
```
#### Usage
After installation, the package can imported:
```console
python
import wombat
wombat.__version__
```
For further usage, please see the documentation site at https://wisdem.github.io/WOMBAT.
### Requirements for Contributing to WOMBAT
#### Code Contributions
Code contributors should note that there is both an additional dependency suite for
running the tests and enabling the pre-commit workflow to automatically standardize the
core code formatting principles. In short, the following steps should be taken, but be
sure to read the
[contributor's guide](https://wisdem.github.io/WOMBAT/contributing.html)
```console
git clone https://github.com/WISDEM/WOMBAT.git
cd wombat
# Install the additional dependencies for running the tests and automatic code formatting
pip install -e '.[dev]'
# Enable the pre-commit workflow for automatic code formatting
pre-commit install
# ... contributions and commits ...
# Run the tests and ensure they all pass
pytest tests
```
Basic pre-commit issues that users might encounter and their remedies:
* For any failed run, changes may have been either automatically applied or require
further edits from the contributor. In either case, after changes have been made,
contributors will have to rerun `git add <the changed files>` and
`git commit -m <the commit message>` to restart the pre-commit workflow with the
applied changes. Once all checks pass, the commit is safe to be pushed.
* `isort`, `black`, or simple file checks failed, but made changes
* rerun the `add` and `commit` processes as needed until the changes satisfy the checks
* `ruff` failed:
* Address the errors and rerun the `add` and `commit` processes
* `mypy` has type errors that seem incorrect
* Double check the typing is in fact as correct as it seems it should be and rerun the
`add` and `commit` processes
* If `mypy` simply seems confused with seemingly correct types, the following statement
can be added above the `mypy` error:
`assert isinstance(<variable of concern>, <the type you think mypy should be registering>)`
* If that's still not working, but you are definitely sure the types are correct,
simply add a `# type ignore` comment at the end of the line. Sometimes `mypy` struggles
with complex scenarios, or especially with certain `attrs` conventions.
#### Documentation Contributions
```console
git clone https://github.com/WISDEM/WOMBAT.git
cd wombat
pip install -e '.[docs]'
```
Build the site
> **Note**
> You may want to change the "execute_notebooks" parameter in the `docs/_config.yaml`
> file to "off" unless you're updating the coded examples, or they will be run every
> time you build the site.
```console
jupyter-book build docs
```
View the results: `docs/_build/html/index.html`
#### Code and Documentation Contributions
```console
git clone https://github.com/WISDEM/WOMBAT.git
cd wombat
pip install -e '.[all]'
```
### Dependencies
Standard dependencies:
* attrs>=21
* numpy>=1.21
* scipy>=1.8
* pandas>=2
* polars>=0.17
* pyarrow>=10
* jupyterlab>=3
* simpy>=4.0.1
* pyyaml>=6
* geopy>=2.3
* networkx>=2.7
* matplotlib>=3.3
* types-attrs>=19
* types-typed-ast>=1.5
* types-PyYAML>=6
* types-python-dateutil>=2.8
Optional "dev" dependencies:
* pre-commit>=2.20
* isort>=5.10
* pytest>=7
* pytest-cov>=4
* mypy==0.991
* ruff>=0.2
* pyupgrade
Optional "docs" dependencies:
* jupyter-book>=0.15
* myst-nb>=0.16
* myst-parser>=0.17
* linkify-it-py>=2
* sphinx-autodoc-typehints
* sphinxcontrib-autoyaml
* sphinxcontrib-bibtex>=2.4
* sphinxcontrib-spelling>=7
Raw data
{
"_id": null,
"home_page": null,
"name": "wombat",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.13,>=3.9",
"maintainer_email": null,
"keywords": "python3, wind-energy, operations-maintenance, discrete-event-simulation, simulation",
"author": null,
"author_email": "Rob Hammond <rob.hammond@nrel.gov>",
"download_url": "https://files.pythonhosted.org/packages/6b/e1/432963c83b6db117319706e307079198afe55c8b028eee212dfaffda00a6/wombat-0.9.6.tar.gz",
"platform": null,
"description": "# WOMBAT: Windfarm Operations & Maintenance cost-Benefit Analysis Tool\n\n[](https://www.osti.gov/biblio/1894867)\n[](https://badge.fury.io/py/wombat)\n[](https://codecov.io/gh/WISDEM/WOMBAT)\n[](https://opensource.org/licenses/Apache-2.0)\n[](https://mybinder.org/v2/gh/WISDEM/WOMBAT/main?filepath=examples)\n[](https://wisdem.github.io/WOMBAT)\n\n[](https://github.com/pre-commit/pre-commit)\n[](https://github.com/psf/black)\n[](https://pycqa.github.io/isort/)\n\nThis library provides a tool to simulate the operation and maintenance phase (O&M) of\ndistributed, land-based, and offshore windfarms using a discrete event simultaion\nframework.\n\nWOMBAT is written around the [`SimPy`](https://gitlab.com/team-simpy/simpy) discrete\nevent simulation framework. Additionally, this is supported using a flexible and modular\nobject-oriented code base, which enables the modeling of arbitrarily large (or small)\nwindfarms with as many or as few failure and maintenance tasks that can be encoded.\n\nPlease note that this is still heavily under development, so you may find some functionality\nto be incomplete at the current moment, but rest assured the functionality is expanding.\nWith that said, it would be greatly appreciated for issues or PRs to be submitted for\nany improvements at all, from fixing typos (guaranteed to be a few) to features to\ntesting.\n\nIf you use this library please cite our NREL Technical Report:\n\n```bibtex\n @techreport{hammond2022wombat,\n title = {Windfarm Operations and Maintenance cost-Benefit Analysis Tool (WOMBAT)},\n author = {Hammond, Rob and Cooperman, Aubryn},\n abstractNote = {This report provides technical documentation and background on the newly-developed Wind Operations and Maintenance cost-Benefit Analysis Tool (WOMBAT) software. WOMBAT is an open-source model that can be used to obtain cost estimates for operations and maintenance of land-based or offshore wind power plants. The software was designed to be flexible and modular to allow for implementation of new strategies and technological innovations for wind plant maintenance. WOMBAT uses a process-based simulation approach to model day-to-day operations, repairs, and weather conditions. High-level outputs from WOMBAT, including time-based availability and annual operating costs, are found to agree with published results from other models.},\n doi = {10.2172/1894867},\n url = {https://www.osti.gov/biblio/1894867},\n place = {United States},\n year = {2022},\n month = {10},\n institution = {National Renewable Energy Lab. (NREL)},\n }\n```\n\n## WOMBAT in Action\n\nThere a few Jupyter notebooks to get users up and running with WOMBAT in the `examples/`\nfolder, but here are a few highlights:\n\n> **Note**\n> In v0.6 the results will diverge significantly under certain modeling conditions from\n> past versions due to substantial model upgrades on the backend and new/updated\n> features to better specify how repairs are managed.\n\n* Dinwoodie, et al. replication for `wombat` can be found in the\n `examples folder <https://github.com/WISDEM/WOMBAT/blob/main/examples/dinwoodie_validation.ipynb>`_.\n* IEA Task 26\n `validation exercise <https://github.com/WISDEM/WOMBAT/blob/main/examples/iea_26_validation.ipynb>`_.\n* Presentations: `slides <https://github.com/WISDEM/WOMBAT/blob/main/presentation_material/>`_.\n\n\n## Setup\n\n### Requirements\n\n* Python 3.9 through 3.12\n\n### Environment Setup\n\nDownload the latest version of [Miniconda](https://docs.conda.io/en/latest/miniconda.html)\nfor the appropriate OS. Follow the remaining\n[steps](https://conda.io/projects/conda/en/latest/user-guide/install/index.html#regular-installation)\nfor the appropriate OS version.\n\nUsing conda, create a new virtual environment:\n\n```console\nconda create -n <environment_name> python=3.11\nconda activate <environment_name>\nconda install -c anaconda pip\n\n# activate the environment\nconda activate <environment_name>\n\n# to deactivate\nconda deactivate\n```\n\n### Installation\n\nOnce in your desired environment, WOMBAT can be installed from PyPI via `pip install`\nor from source.\n\n#### Pip\n\nThis option is best for those working with the latest release, or including WOMBAT as\na tool in a workflow without the desire to modify the source code.\n\n```console\npip install wombat\n```\n\n#### From Source\n\nThis option is ideal for users that wish to work with the examples, modify the source\ncode, and/or contribute back to the project.\n\nInstall it directly into an activated virtual environment:\n\n```console\ngit clone https://github.com/WISDEM/WOMBAT.git\ncd wombat\npython setup.py install\n\n# Alternatively:\npip install .\n```\n\n#### Usage\n\nAfter installation, the package can imported:\n\n```console\npython\nimport wombat\nwombat.__version__\n```\n\nFor further usage, please see the documentation site at https://wisdem.github.io/WOMBAT.\n\n### Requirements for Contributing to WOMBAT\n\n#### Code Contributions\n\nCode contributors should note that there is both an additional dependency suite for\nrunning the tests and enabling the pre-commit workflow to automatically standardize the\ncore code formatting principles. In short, the following steps should be taken, but be\nsure to read the\n[contributor's guide](https://wisdem.github.io/WOMBAT/contributing.html)\n\n```console\ngit clone https://github.com/WISDEM/WOMBAT.git\ncd wombat\n\n# Install the additional dependencies for running the tests and automatic code formatting\npip install -e '.[dev]'\n\n# Enable the pre-commit workflow for automatic code formatting\npre-commit install\n\n# ... contributions and commits ...\n\n# Run the tests and ensure they all pass\npytest tests\n```\n\nBasic pre-commit issues that users might encounter and their remedies:\n\n* For any failed run, changes may have been either automatically applied or require\n further edits from the contributor. In either case, after changes have been made,\n contributors will have to rerun `git add <the changed files>` and\n `git commit -m <the commit message>` to restart the pre-commit workflow with the\n applied changes. Once all checks pass, the commit is safe to be pushed.\n* `isort`, `black`, or simple file checks failed, but made changes\n * rerun the `add` and `commit` processes as needed until the changes satisfy the checks\n* `ruff` failed:\n * Address the errors and rerun the `add` and `commit` processes\n* `mypy` has type errors that seem incorrect\n * Double check the typing is in fact as correct as it seems it should be and rerun the\n `add` and `commit` processes\n * If `mypy` simply seems confused with seemingly correct types, the following statement\n can be added above the `mypy` error:\n `assert isinstance(<variable of concern>, <the type you think mypy should be registering>)`\n * If that's still not working, but you are definitely sure the types are correct,\n simply add a `# type ignore` comment at the end of the line. Sometimes `mypy` struggles\n with complex scenarios, or especially with certain `attrs` conventions.\n\n#### Documentation Contributions\n\n```console\ngit clone https://github.com/WISDEM/WOMBAT.git\ncd wombat\npip install -e '.[docs]'\n```\n\nBuild the site\n\n> **Note**\n> You may want to change the \"execute_notebooks\" parameter in the `docs/_config.yaml`\n> file to \"off\" unless you're updating the coded examples, or they will be run every\n> time you build the site.\n\n```console\njupyter-book build docs\n```\n\nView the results: `docs/_build/html/index.html`\n\n#### Code and Documentation Contributions\n\n```console\ngit clone https://github.com/WISDEM/WOMBAT.git\ncd wombat\npip install -e '.[all]'\n```\n\n### Dependencies\n\nStandard dependencies:\n\n* attrs>=21\n* numpy>=1.21\n* scipy>=1.8\n* pandas>=2\n* polars>=0.17\n* pyarrow>=10\n* jupyterlab>=3\n* simpy>=4.0.1\n* pyyaml>=6\n* geopy>=2.3\n* networkx>=2.7\n* matplotlib>=3.3\n* types-attrs>=19\n* types-typed-ast>=1.5\n* types-PyYAML>=6\n* types-python-dateutil>=2.8\n\nOptional \"dev\" dependencies:\n\n* pre-commit>=2.20\n* isort>=5.10\n* pytest>=7\n* pytest-cov>=4\n* mypy==0.991\n* ruff>=0.2\n* pyupgrade\n\nOptional \"docs\" dependencies:\n\n* jupyter-book>=0.15\n* myst-nb>=0.16\n* myst-parser>=0.17\n* linkify-it-py>=2\n* sphinx-autodoc-typehints\n* sphinxcontrib-autoyaml\n* sphinxcontrib-bibtex>=2.4\n* sphinxcontrib-spelling>=7\n",
"bugtrack_url": null,
"license": "Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License. \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. 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