MOCA - Uncertainty in Life Cycle Assessment#
Welcome to the documentation for MOCA, the Python package for uncertainty analysis in Life Cycle Assessment (LCA).
This package offers:
Fast and parallelised Monte Carlo simulations for LCA
Easy integration with existing LCA workflows
Compatibility with Brightway2 databases and methods
Pre-processing to define default uncertainty distributions for LCA parameters
How to install and set up moca_uncertainty_lca.
Step-by-step guide for new users.
Practical examples and code snippets.
Full API documentation.
Coming Soon
Look forward to future updates that will include:
Post-processing tools for analysing and visualising results
Integration with the Activity Browser for an even more user-friendly experience
Note
This documentation is a work in progress. Contributions and feedback are welcome!