Skip to main content

Time-explicit Life Cycle Assessment

Project description

Text changing depending on mode. Light: 'So light!' Dark: 'So dark!'

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. timex_lca 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, timex_lca keeps track of the timing of emissions which means that you can apply dynamic characterization functions.

Use cases:

timex_lca 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

timex_lca-0.1.2.tar.gz (66.5 kB view details)

Uploaded Source

Built Distribution

timex_lca-0.1.2-py3-none-any.whl (63.2 kB view details)

Uploaded Python 3

File details

Details for the file timex_lca-0.1.2.tar.gz.

File metadata

  • Download URL: timex_lca-0.1.2.tar.gz
  • Upload date:
  • Size: 66.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for timex_lca-0.1.2.tar.gz
Algorithm Hash digest
SHA256 4ee45c19d7d43d7c3f12f56d019478b9dc6ebdc7c476b3b6b2be7ef23c1d912e
MD5 1f8cddd93b7eb2a784381d53ae4485a5
BLAKE2b-256 02aa0fc4b946ba04f265f2419fc5ab632ecf4b9caa04005257401b0fb0df92d2

See more details on using hashes here.

File details

Details for the file timex_lca-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: timex_lca-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 63.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for timex_lca-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c8ed6ddee31de7f4ea80538426637464e23c2a370b8e9ea53f285f2eba987d1a
MD5 bf5ea9004d8de2a44d55b1a65c301141
BLAKE2b-256 c7848b6faa05ea41632aec77d2d36cd823795b6fbcad6cd9f4f3eee787d1d10e

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