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:
| Attribute | Value |
|---|---|
| Products/processes | 23,500+ |
| Geographic coverage | Global + regional |
| System model | Attributional (cut-off) |
| Version | 3.10 |
Geographic Coverage
ecoinvent provides data at multiple geographic levels:
| Level | Examples |
|---|---|
| Global average | "GLO" datasets |
| Continental | Europe, Asia, Americas |
| National | France, Germany, USA, etc. |
| Regional | California, Quebec, etc. |
How Darwin Uses ecoinvent
Product Data Processing
When you enter product data (e.g., "150 tonnes of paper"):
- Product matching: Your product is matched to ecoinvent activities
- Life cycle inventory: All inputs and emissions are calculated
- Pressure extraction: Environmental pressures are aggregated
- Geographic refinement: Region-specific data is applied when available
Commodity Data Processing
For commodity data (e.g., "50 tonnes of copper"):
- Commodity mapping: Direct match to ecoinvent elementary flows
- Production processes: Extraction and processing included
- 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:
| Indicator | Description |
|---|---|
| Reliability | Data collection methods |
| Completeness | Coverage of relevant flows |
| Temporal | Age of underlying data |
| Geographic | Representativeness |
| Technological | Process representativeness |
Product Categories
Examples of ecoinvent coverage:
| Sector | Example Products |
|---|---|
| Agriculture | Wheat, maize, vegetables, fruits, meat |
| Materials | Steel, aluminum, copper, plastics, paper |
| Chemicals | Fertilizers, solvents, paints |
| Energy | Electricity mixes, fuels, heat |
| Construction | Cement, concrete, wood products |
| Electronics | Components, batteries, circuits |
| Transport | Vehicle production, logistics |
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