Skip to main content

Time-explicit Life Cycle Assessment

Project description

bw_timex logo

Read the Docs PyPI - Version Conda Version Conda - License Binder

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

🤝 Contributing

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

💬 Support

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bw_timex-0.3.1.tar.gz (956.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bw_timex-0.3.1-py3-none-any.whl (960.8 kB view details)

Uploaded Python 3

File details

Details for the file bw_timex-0.3.1.tar.gz.

File metadata

  • Download URL: bw_timex-0.3.1.tar.gz
  • Upload date:
  • Size: 956.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for bw_timex-0.3.1.tar.gz
Algorithm Hash digest
SHA256 fd7ed564c8a7626d5f329b1a8616989c18bb5b36e032243f7f5170ba9dde940e
MD5 ec90c47046ed9b397bffc1183ea623d2
BLAKE2b-256 05541271f0bcc6182d3e8e2261ff183399378f8aac1ab90b0095d32e3abba7b3

See more details on using hashes here.

File details

Details for the file bw_timex-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: bw_timex-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 960.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for bw_timex-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0099e80f53e3c1028d6377e9ee410ab2e8f06ed3732a0cfefe85e87ac298ddfc
MD5 c43bdff3b6e434bd08e166c1c6567c73
BLAKE2b-256 6b932f7305f019b9549538e67892f50556b4fb4fef85d7bea3cf2e422fb2ac4a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page