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Dear community,

I have several doubts about the different types of uncertainty that can be accounted for in openLCA:

1) In a process (tab "General Information"), we can define the pedigree matrix. To what type of data does it refer to?

2) In the "Inputs/outputs" tab, for each flow we can fill in the "uncertainty" and "Data quality" columns. To what type of uncertainty does the "uncertainty" column refer to? How does it relate to the basic uncertainty that can be specified along with the additional uncertainty associated with the quality of the data?

Thanks in advance for your help.

Best Regards,
in openLCA by (190 points)

1 Answer

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by (2.4k points)
Pedigrees can be established for the entire process data quality as well as for individual flow data quality. The pedigree you choose will dictate how you assign values in each case. Data quality for individual flows may be quite variable, but the process pedigree is designed to capture the overall net "quality" of the process.

Uncertainty is likely related to the data quality but is really capturing the actual numeric range of an individual datapoint. You can use data quality to assign uncertainty if you'd like (i.e, the worse the quality of the data more likely the broader your uncertainty will be).
by (190 points)
Thank you byoung.