timex-lca


Nametimex-lca JSON
Version 0.1.2 PyPI version JSON
download
home_pageNone
SummaryTime-explicit Life Cycle Assessment
upload_time2024-05-27 20:58:11
maintainerAmelie Müller
docs_urlNone
authorAmelie Müller, Arthur Jakobs
requires_python>=3.10
licenseNone
keywords brightway life cycle assessment lca time-explicit dynamic prospective
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <h1>
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="docs/_static/logo_dark_nomargins.svg" height="50">
    <img alt="Text changing depending on mode. Light: 'So light!' Dark: 'So dark!'" src="docs/_static/logo_light_nomargins.svg" height="50">
  </picture>
</h1>

[![Read the Docs](https://img.shields.io/readthedocs/timex?label=documentation)](https://timex.readthedocs.io/en/latest/)
[![PyPI - Version](https://img.shields.io/pypi/v/timex-lca?color=%2300549f)](https://pypi.org/project/timex-lca/)
[![Conda Version](https://img.shields.io/conda/v/diepers/timex_lca?label=conda)](https://anaconda.org/diepers/timex_lca)
![Conda - License](https://img.shields.io/conda/l/diepers/timex_lca)

> ℹ️ _This package is still under development and some functionalities may change in the future._

This is a python package for time-explicit Life Cycle Assessment that helps you assess the environmental impacts of products and processes over time. `timex_lca` builds on top of the [Brightway LCA framework](https://docs.brightway.dev/en/latest).

## Features:
This package enables you to account for: 
- **Timing of processes** throughout the supply chain (e.g., end-of-life treatment occurs 20 years after construction)
- **Variable** and/or **evolving** supply chains & technologies (e.g., increasing shares of renewable electricity in the future)
- **Timing of emissions** (by applying dynamic characterization functions)

You can define temporal distributions for process and emission exchanges, which are then *automatically* propagated through the supply chain and mapped to corresponding time-explicit databases. The resulting time-explicit LCI reflects the current technology status within the production system at the actual time of each process. Also, `timex_lca` keeps track of the timing of emissions which means that you can apply dynamic characterization functions.

## Use cases:
`timex_lca` is ideal for cases with:
- **Variable** or strongly **evolving production systems**
- **Long-lived** products
- **Biogenic** carbon

## Documentation and Resources:
- [Full Documentation](https://timex.readthedocs.io/en/latest/)
- [Installation Guide](https://timex.readthedocs.io/en/latest/content/installation.html)
- [Example Notebook](https://github.com/TimoDiepers/timex/blob/main/notebooks/example_setac.ipynb)

## Contributing:
We welcome contributions! If you have suggestions or want to fix a bug, please:
- [Open an Issue](https://github.com/TimoDiepers/timex/issues)
- [Send a Pull Request](https://github.com/TimoDiepers/timex/pulls)

## Support: 
If you have any questions or need help, do not hesitate to contact us:
- Timo Diepers ([timo.diepers@ltt.rwth-aachen.de](mailto:timo.diepers@ltt.rwth-aachen.de))
- Amelie Müller ([a.muller@cml.leidenuniv.nl](mailto:a.muller@cml.leidenuniv.nl))

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "timex-lca",
    "maintainer": "Amelie M\u00fcller",
    "docs_url": null,
    "requires_python": ">=3.10",
    "maintainer_email": "Timo Diepers <timo.diepers@ltt.rwth-aachen.de>",
    "keywords": "brightway, Life Cycle Assessment, LCA, time-explicit, dynamic, prospective",
    "author": "Amelie M\u00fcller, Arthur Jakobs",
    "author_email": "Timo Diepers <timo.diepers@ltt.rwth-aachen.de>",
    "download_url": "https://files.pythonhosted.org/packages/02/aa/0fc4b946ba04f265f2419fc5ab632ecf4b9caa04005257401b0fb0df92d2/timex_lca-0.1.2.tar.gz",
    "platform": null,
    "description": "<h1>\n  <picture>\n    <source media=\"(prefers-color-scheme: dark)\" srcset=\"docs/_static/logo_dark_nomargins.svg\" height=\"50\">\n    <img alt=\"Text changing depending on mode. Light: 'So light!' Dark: 'So dark!'\" src=\"docs/_static/logo_light_nomargins.svg\" height=\"50\">\n  </picture>\n</h1>\n\n[![Read the Docs](https://img.shields.io/readthedocs/timex?label=documentation)](https://timex.readthedocs.io/en/latest/)\n[![PyPI - Version](https://img.shields.io/pypi/v/timex-lca?color=%2300549f)](https://pypi.org/project/timex-lca/)\n[![Conda Version](https://img.shields.io/conda/v/diepers/timex_lca?label=conda)](https://anaconda.org/diepers/timex_lca)\n![Conda - License](https://img.shields.io/conda/l/diepers/timex_lca)\n\n> \u2139\ufe0f _This package is still under development and some functionalities may change in the future._\n\nThis is a python package for time-explicit Life Cycle Assessment that helps you assess the environmental impacts of products and processes over time. `timex_lca` builds on top of the [Brightway LCA framework](https://docs.brightway.dev/en/latest).\n\n## Features:\nThis package enables you to account for: \n- **Timing of processes** throughout the supply chain (e.g., end-of-life treatment occurs 20 years after construction)\n- **Variable** and/or **evolving** supply chains & technologies (e.g., increasing shares of renewable electricity in the future)\n- **Timing of emissions** (by applying dynamic characterization functions)\n\nYou can define temporal distributions for process and emission exchanges, which are then *automatically* propagated through the supply chain and mapped to corresponding time-explicit databases. The resulting time-explicit LCI reflects the current technology status within the production system at the actual time of each process. Also, `timex_lca` keeps track of the timing of emissions which means that you can apply dynamic characterization functions.\n\n## Use cases:\n`timex_lca` is ideal for cases with:\n- **Variable** or strongly **evolving production systems**\n- **Long-lived** products\n- **Biogenic** carbon\n\n## Documentation and Resources:\n- [Full Documentation](https://timex.readthedocs.io/en/latest/)\n- [Installation Guide](https://timex.readthedocs.io/en/latest/content/installation.html)\n- [Example Notebook](https://github.com/TimoDiepers/timex/blob/main/notebooks/example_setac.ipynb)\n\n## Contributing:\nWe welcome contributions! If you have suggestions or want to fix a bug, please:\n- [Open an Issue](https://github.com/TimoDiepers/timex/issues)\n- [Send a Pull Request](https://github.com/TimoDiepers/timex/pulls)\n\n## Support: \nIf you have any questions or need help, do not hesitate to contact us:\n- Timo Diepers ([timo.diepers@ltt.rwth-aachen.de](mailto:timo.diepers@ltt.rwth-aachen.de))\n- Amelie M\u00fcller ([a.muller@cml.leidenuniv.nl](mailto:a.muller@cml.leidenuniv.nl))\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Time-explicit Life Cycle Assessment",
    "version": "0.1.2",
    "project_urls": {
        "homepage": "https://github.com/TimoDiepers/timex",
        "source": "https://github.com/TimoDiepers/timex",
        "tracker": "https://github.com/TimoDiepers/timex/issues"
    },
    "split_keywords": [
        "brightway",
        " life cycle assessment",
        " lca",
        " time-explicit",
        " dynamic",
        " prospective"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "c7848b6faa05ea41632aec77d2d36cd823795b6fbcad6cd9f4f3eee787d1d10e",
                "md5": "bf5ea9004d8de2a44d55b1a65c301141",
                "sha256": "c8ed6ddee31de7f4ea80538426637464e23c2a370b8e9ea53f285f2eba987d1a"
            },
            "downloads": -1,
            "filename": "timex_lca-0.1.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "bf5ea9004d8de2a44d55b1a65c301141",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.10",
            "size": 63200,
            "upload_time": "2024-05-27T20:58:09",
            "upload_time_iso_8601": "2024-05-27T20:58:09.931753Z",
            "url": "https://files.pythonhosted.org/packages/c7/84/8b6faa05ea41632aec77d2d36cd823795b6fbcad6cd9f4f3eee787d1d10e/timex_lca-0.1.2-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "02aa0fc4b946ba04f265f2419fc5ab632ecf4b9caa04005257401b0fb0df92d2",
                "md5": "1f8cddd93b7eb2a784381d53ae4485a5",
                "sha256": "4ee45c19d7d43d7c3f12f56d019478b9dc6ebdc7c476b3b6b2be7ef23c1d912e"
            },
            "downloads": -1,
            "filename": "timex_lca-0.1.2.tar.gz",
            "has_sig": false,
            "md5_digest": "1f8cddd93b7eb2a784381d53ae4485a5",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.10",
            "size": 66473,
            "upload_time": "2024-05-27T20:58:11",
            "upload_time_iso_8601": "2024-05-27T20:58:11.353629Z",
            "url": "https://files.pythonhosted.org/packages/02/aa/0fc4b946ba04f265f2419fc5ab632ecf4b9caa04005257401b0fb0df92d2/timex_lca-0.1.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-05-27 20:58:11",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "TimoDiepers",
    "github_project": "timex",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "timex-lca"
}
        
Elapsed time: 0.27882s