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TimoDiepers authored Sep 16, 2024
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20 changes: 9 additions & 11 deletions README.md
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[![PyPI - Version](https://img.shields.io/pypi/v/bw-timex?color=%2300549f)](https://pypi.org/project/bw-timex/)
[![Conda Version](https://img.shields.io/conda/v/diepers/bw_timex?label=conda)](https://anaconda.org/diepers/bw_timex)
![Conda - License](https://img.shields.io/conda/l/diepers/bw_timex)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/brightway-lca/bw_timex/HEAD?labpath=notebooks%2Fexample_electric_vehicle_standalone.ipynb)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/brightway-lca/bw_timex/HEAD?labpath=notebooks%2Fgetting_started.ipynb)

> 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](https://docs.brightway.dev/projects/bw-timex/en/latest/content/theory.html#terminology) that helps you assess the environmental impacts of products and processes over time. `bw_timex` builds on top of the [Brightway LCA framework](https://docs.brightway.dev/en/latest).

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

## Features
## ✨ 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, `bw_timex` keeps track of the timing of emissions which means that you can apply [dynamic characterization functions](https://github.com/TimoDiepers/dynamic_characterization).

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

## Documentation and Resources
- [Full Documentation](https://docs.brightway.dev/projects/bw-timex/en/latest/)
## 👩‍💻 Getting Started
- [Installation Guide](https://docs.brightway.dev/projects/bw-timex/en/latest/content/installation.html)
- [Example Notebook](https://docs.brightway.dev/projects/bw-timex/en/latest/content/examples/example_ev.html)
- [Getting Started Tutorial](https://docs.brightway.dev/projects/bw-timex/en/latest/content/getting_started/index.html)
- [Example Collection](https://docs.brightway.dev/projects/bw-timex/en/latest/content/examples/index.html)

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

## Support
## 💬 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))
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html_theme_options = {
# page elements
"announcement": "⚠️ This package is under active development and some functionalities may change in the future.",
# "announcement": "⚠️ placeholder",
"navbar_start": ["navbar-logo"],
"navbar_end": ["theme-switcher", "navbar-icon-links.html"],
"navbar_align": "content",
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# TimexLCA Examples
# Example Collection

Here are some examples on how you can use `bw_timex`.

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## Data requirements

For a time-explicit LCA, 3 inputs are required:
For a time-explicit LCA, three inputs are required:

1. a static foreground system model with
2. temporal information using the attribute `temporal_distribution` on
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`bw_timex` is a python package for [time-explicit Life Cycle Assessment](content/theory.md#terminology) that helps you assess the environmental impacts of products and processes over time. `bw_timex` builds on top of the [Brightway LCA framework](https://docs.brightway.dev/en/latest).

## Features
## 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, `bw_timex` keeps track of the timing of emissions, which means that you can apply dynamic characterization functions.

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

## Support
## 💬 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))
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