Calculation recipes for brightway2. Instructions to becoming an LCA gourmet.

A Python class to hybridize lifecycle assessment (LCA) and environmentally extended input-output (EEIO) databases.

Base ecoinvent flows, methods, and characterization factors

Prospective LCA is attributional Life cycle assessment which helps to predict the future of emission and impact of different processes and activites based on background scenarios.

Download, unpack and import ecoinvent into your brightway2 project in one simple step

A consistent global topology for the ecoinvent database

Switzerland's Energy Perspective 2050+ scenario

Future global cobalt supply scenarios from van der Meide et al., 2022.

Future supply chains for ammonia, based on prospective scenarios.

Future synthetic FT-diesel production pathways

UNpacking For scenariO-based Lca Databases

Python package for lifecycle optimization

Coupling Integrated Assessment Models output with Life Cycle Assessment.

Python class regionalizing processes from the ecoinvent database using trade date from the UN COMTRADE database and common sense.