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A Python class to hybridize lifecycle assessment (LCA) and environmentally extended input-output (EEIO) databases.
Calculation recipes for brightway2. Instructions to becoming an LCA gourmet.
Download, unpack and import ecoinvent into your brightway2 project in one simple step
Python package for lifecycle optimization
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.
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.
Base ecoinvent flows, methods, and characterization factors