vyom-thakker / wurst

Code and metadata for linking life cycle assessment databases to other models

Wurst

Show how the sausage is made!

Wurst is a python package for linking and modifying industrial ecology models, with a focus on sparse matrices in life cycle assessment. It provides the following:

• Helper functions to filter activities and exchanges
• Helper functions to link exchanges
• Transformation functions to change markets, change input efficiencies, and change emissions
• Data IO with Brightway2
• Logging framework and a log browser

See also the separate wurst examples repository.

Installation

Download and install miniconda, create and activate a new environment, and then install::

conda install -y -q -c conda-forge -c cmutel -c haasad -c konstantinstadler brightway2 jupyter wurst

License

BSD 2-clause license. Contributions are welcome!

Authors

• Chris Mutel
• Brian Cox

TODO

• Review BW2 IO code to make sure all needed fields are present in newly-created and modified databases
• Parameterized exchanges (e.g. electricity sector)
• Check logging on all transformation functions
• Log browser web app