Coupling Integrated Assessment Models output with Life Cycle Assessment.

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

Python package for life cycle optimization

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

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

UNpacking For scenariO-based Lca Databases

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 supply chains for ammonia, based on prospective scenarios.

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

A JavaScript library for accessing ecoinvent data. This is an unofficial library and not tested on a production environment yet. Use at your own risk.

Base ecoinvent flows, methods, and characterization factors

Reproducing an openLCA life-cycle assessment workflow in Python using Brightway 2.5, ecoinvent 3.10, and EF 3.1 midpoint methods.

Hybrid CockroachDB and Brightway workflow for indexed ecoinvent activity discovery, UUID-safe mappings, reproducible LCI/LCIA calculations, and runtime measurement.

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.

Future synthetic FT-diesel production pathways