Skip to main content

Time-explicit Life Cycle Assessment

Project description

bw_timex logo

Read the Docs PyPI - Version Conda Version Conda - License

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. 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

Documentation and Resources:

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-0.1.6.tar.gz (953.2 kB view details)

Uploaded Source

Built Distribution

bw_timex-0.1.6-py3-none-any.whl (960.2 kB view details)

Uploaded Python 3

File details

Details for the file bw_timex-0.1.6.tar.gz.

File metadata

  • Download URL: bw_timex-0.1.6.tar.gz
  • Upload date:
  • Size: 953.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for bw_timex-0.1.6.tar.gz
Algorithm Hash digest
SHA256 235cf3886a2daaa8a89bda954fb1d90f246ebc038d0c666b9afc0c35e61cebbe
MD5 d812041b2fee8a23055fc905a2e7b631
BLAKE2b-256 6cd8ce1c063714ec9846e1bb4601a42c87f7e748819f38e77763abca75f5fd17

See more details on using hashes here.

File details

Details for the file bw_timex-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: bw_timex-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 960.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for bw_timex-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 947294f686d661199466caea5bac0fe8a245f77beaf7697cf6b469d720f22fd6
MD5 ab0a1c5bb62314ef72b368bcfd555bcc
BLAKE2b-256 574e89a865c538e09014aa87e5a223b1c349b437fa06914474e749475a90b8a4

See more details on using hashes here.

Supported by

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