Characterization Factors in Life Cycle Impact Assessment

Characterization factors are scientifically derived multipliers that convert Life Cycle Inventory (LCI) results into comparable impact scores. They are essential for translating emissions and resource use data into meaningful environmental impact indicators.

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

GWP₁₀₀GWP₂₀

Carbon dioxide (CO₂)

11

Methane (CH₄)

2884

Nitrous oxide (N₂O)

265264

HFC-134a

1,3003,710

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:

  1. Classification: Assigning inventory flows to impact categories
  2. Characterization: Multiplying inventory data by appropriate factors
  3. Optional normalization: Comparing results to reference values
  4. 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.


 

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