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

Summary