Characterization Factors in Life Cycle Impact Assessment
LCI ResultsRaw emission dataCharacterizationApply factorsImpact ScoreCO₂ equivalentsExample: Converting methane to CO₂e1 kg CH₄ × GWP₁₀₀ (28) = 28 kg CO₂e2 kg N₂O × GWP₁₀₀ (265) = 530 kg CO₂eTotal impact: 558 kg CO₂e
What Are Characterization Factors?
Characterization factors are multipliers that convert different substances into equivalent amounts of a reference substance for a specific environmental impact category. They are based on scientific models that describe the environmental mechanism between the emission of a substance and its potential impact.
Global Warming Potential (GWP)
Global Warming Potential is the most widely used characterization factor for climate change impact assessment. GWP measures how much heat a greenhouse gas traps in the atmosphere relative to carbon dioxide (CO₂) over a specific time period.
Greenhouse Gas | GWP₁₀₀ | GWP₂₀ |
Carbon dioxide (CO₂) | 1 | 1 |
Methane (CH₄) | 28 | 84 |
Nitrous oxide (N₂O) | 265 | 264 |
HFC-134a | 1,300 | 3,710 |
Example Calculation:
For a process that emits:
- 100 kg CO₂
- 5 kg CH₄
- 0.5 kg N₂O
Total GWP₁₀₀ = (100 × 1) + (5 × 28) + (0.5 × 265) = 372.5 kg CO₂e
Other Common Characterization Factors
- Acidification Potential (AP): Converts acidifying emissions to SO₂ equivalents
- Eutrophication Potential (EP): Converts nutrient emissions to PO₄³⁻ equivalents
- Ozone Depletion Potential (ODP): Converts ozone-depleting substances to CFC-11 equivalents
- Photochemical Ozone Creation Potential (POCP): Converts emissions to ethene equivalents
Applying Characterization Factors in LCIA
The application of characterization factors involves several steps:
- Classification: Assigning inventory flows to impact categories
- Characterization: Multiplying inventory data by appropriate factors
- Optional normalization: Comparing results to reference values
- Optional weighting: Applying value-based weighting factors
Key Considerations:
- Time horizons (e.g., GWP₂₀ vs. GWP₁₀₀)
- Regional variations in impact pathways
- Uncertainty in characterization models
- Regular updates to factor values
Best Practice: When using characterization factors, always document the source, version, and time horizon of the factors used. This ensures transparency and reproducibility of the impact assessment results.