| Feature | Attributional LCA | Consequential LCA |
|---|---|---|
| Focus | Describes the status quo of a product system. | Describes how flows change in response to a decision. |
| Data Type | Uses average data for existing processes. | Uses marginal data (the next unit produced). |
| Application | Product labeling, environmental reporting. | Policy making, strategic planning. |
Verify the Functional Unit: In any comparison problem, always check if the functional unit is identical for both systems. If one product lasts twice as long as another, the inventory must be adjusted to reflect the same service duration.
Check for Burden Shifting: When evaluating a 'green' solution, look for hidden impacts in other categories. A bio-based plastic might have lower GWP but higher Eutrophication due to fertilizer use in farming.
Boundary Consistency: Ensure that the system boundaries are equivalent when comparing two products. If one includes the transport of raw materials and the other does not, the comparison is invalid.
Characterization Factors: Remember that LCIA results are not direct measurements of damage but rather 'potentials.' A high GWP score indicates a potential for warming, not a measured temperature increase.
Double Counting: This occurs when the same impact is counted twice, often when recycling or co-products are involved. Proper 'allocation' methods must be used to split impacts between multiple outputs of a single process.
Ignoring the Use Phase: For many energy-consuming products (like cars or appliances), the majority of the environmental impact occurs during the use phase, not manufacturing. Omitting this phase leads to highly misleading results.
Data Quality Neglect: Using generic 'database' data for a specific, unique local process can lead to significant errors. Always assess the geographical and temporal relevance of the data used.