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.
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.
bw_timex is ideal for cases with:
- Variable or strongly evolving production systems
- Long-lived products
- Biogenic carbon
We welcome contributions! If you have suggestions or want to fix a bug, please:
If you have any questions or need help, do not hesitate to contact us:
- Timo Diepers ([email protected])
- Amelie Müller ([email protected])
- Arthur Jakobs ([email protected])