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Methodologyecoinvent
Methodology

ecoinvent

Life Cycle Assessment database for product and commodity data

ecoinvent

Darwin uses ecoinvent 3.10 to transform product and commodity data into environmental pressures through Life Cycle Assessment (LCA).

What is Life Cycle Assessment?

Life Cycle Assessment (LCA) is a standardized methodology (ISO 14040/14044) for evaluating environmental impacts throughout a product's entire life cycle.

LCA Stages

Raw Material    →    Manufacturing    →    Distribution    →    Use    →    End of Life
Extraction           & Processing          & Retail             Phase       & Disposal

LCA tracks:

  • Resource inputs: Energy, water, materials
  • Emissions: To air, water, and soil
  • Impacts: Climate, ecosystems, human health

ecoinvent Database

ecoinvent is the world's most comprehensive LCA database:

AttributeValue
Products/processes23,500+
Geographic coverageGlobal + regional
System modelAttributional (cut-off)
Version3.10

Geographic Coverage

ecoinvent provides data at multiple geographic levels:

LevelExamples
Global average"GLO" datasets
ContinentalEurope, Asia, Americas
NationalFrance, Germany, USA, etc.
RegionalCalifornia, Quebec, etc.

How Darwin Uses ecoinvent

Product Data Processing

When you enter product data (e.g., "150 tonnes of paper"):

  1. Product matching: Your product is matched to ecoinvent activities
  2. Life cycle inventory: All inputs and emissions are calculated
  3. Pressure extraction: Environmental pressures are aggregated
  4. Geographic refinement: Region-specific data is applied when available

Commodity Data Processing

For commodity data (e.g., "50 tonnes of copper"):

  1. Commodity mapping: Direct match to ecoinvent elementary flows
  2. Production processes: Extraction and processing included
  3. Supply chain: Upstream impacts captured

System Model: Attributional Cut-off

Darwin uses ecoinvent's attributional cut-off system model:

Attributional LCA answers: "What environmental impacts can be attributed to this product?"

Cut-off rule: Recycled materials enter the system burden-free; the burden stays with the original product.

This approach is appropriate for:

  • Corporate footprinting
  • Product comparisons
  • Regulatory reporting

Data Quality

ecoinvent ensures high data quality through:

  • Peer review: All datasets reviewed by experts
  • Documentation: Full transparency on data sources
  • Uncertainty: Quantified uncertainty ranges
  • Updates: Regular database releases

Quality Indicators

Each ecoinvent dataset includes quality metadata:

IndicatorDescription
ReliabilityData collection methods
CompletenessCoverage of relevant flows
TemporalAge of underlying data
GeographicRepresentativeness
TechnologicalProcess representativeness

Product Categories

Examples of ecoinvent coverage:

SectorExample Products
AgricultureWheat, maize, vegetables, fruits, meat
MaterialsSteel, aluminum, copper, plastics, paper
ChemicalsFertilizers, solvents, paints
EnergyElectricity mixes, fuels, heat
ConstructionCement, concrete, wood products
ElectronicsComponents, batteries, circuits
TransportVehicle production, logistics
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