lca-algebraic 1.2

This library provides a layer above brightway2 for defining parametric models and running super fast LCA for monte carlo analysis.

lca_algebraic is a layer above brightway2 designed for the definition of parametric inventories with fast computation of LCA impacts, suitable for monte-carlo / global sensitivity analysis

It integrates the magic of Sympy in order to write parametric formulas as regular Python expressions.

lca-algebraic provides a set of helper functions for :

• compact & human readable definition of activities :
  • search background (tech and biosphere) activities
  • create new foreground activities with parametrized amounts
  • parametrize / update existing background activities (extending the class Activity)
• Definition of parameters
• Fast computation of LCAs
• Computation of monte carlo method and global sensitivity analysis (Sobol indices)

⚙ Installation

We don't provide conda package anymore.

This packages is available via pip /pypi

1) Setup separate environement

First create a python environment, with Python [>=3.9] :

With Conda (or mamba)

conda create -n lca python==3.10
conda activate lca

With virtual env

python3.10 -m venv .venv
source .venv/bin/activate

2) Install lca_algebraic

pip install lca_algebraic

3) [Optional] Install Jupyter & Activity Browser

You may also install Jupyter and Activity Browser on the same environment.

Jupyter :

pip install jupyter

Activity Browser can only be installed via conda/mamba. Note that it can also be installed on a separate Python env and will still be able to access and browse the projects created programmatically with lca_algebraic / Brightway.

conda install activity-browser

📚 Documentation & resources

Full documentation is hosted on readthedocs

We provide some notebooks :

• Example notebook : Basic functionalities
• Handbook : More examples, also showing the usage of the Brightway functions.
• Workshop : A "real life" exercise used as a short training on lca_algebraic

📧 Mailing list

Please register to this dedicated mailing list to discuss the evolutions of this library and be informed of future releases :

[e-mail]

© Licence & Copyright

This library has been developed by MinesParis - PSL - O.I.E team, for the project INCER-ACV, lead by ADEME.

It is distributed under the BSD License

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