bw-timex 0.3.4

Time-explicit Life Cycle Assessment

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.

✨ 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

bw_timex is ideal for cases with:

• Variable or strongly evolving production systems
• Long-lived products
• Biogenic carbon

Still unsure if you need time-explicit LCA? Overwhelmed by all the options? Check out our decision tree for some guidance.

👩‍💻 Getting Started

• Installation Guide
• Getting Started Tutorial
• Example Collection

📚 Citation

If bw_timex supports your scientific work, please consider citing our companion publications:

• The conceptual framework and formalization of time-explicit LCA are described in our methodology paper
• The implementation of this methodology in bw_timex is covered by our JOSS paper (under review)

🤝 Contributing

We welcome contributions! If you have suggestions or want to fix a bug, please:

• Open an Issue
• Send a Pull Request

💬 Support

If you have any questions or need help, do not hesitate to contact us:

• Timo Diepers ([e-mail])
• Amelie Müller ([e-mail])
• Arthur Jakobs ([e-mail])