Introduction¶
This library 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 env 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
Source code¶
The source code is available of our github
Licence & Copyright¶
This library has been developed by OIE - MinesParistech, for the project INCER-ACV, lead by ADEME.
It is distributed under the BSD License.