Hi Nils,
Technically speaking you could use this approach as a last resort, for processes which you cannot find suitable data for. You would not be modelling the “equivalents” as outputs per se, rather you would be expressing the environmental burden for each impact category via its designated pollutant. So for global warming potential using CO2 eq, you would use carbon dioxide as the output. However, this could introduce a lot of uncertainty into your model, as the equivalents will vary according to the chosen impact category.
Take climate change as an example using Global Warming Potential (GWP) (kg CO2-eq) as the characterization factor at midpoint level. The GWP for greenhouse gases will vary between studies depending on the impact method that was used. For ReCiPe 2016 using a 100-year perspective, the GWP of methane is 34 kg CO2-eq. This is based on the fifth assessment report from the IPCC. However, previous LCAs may use other impact methods for which the GWP values differ. For example, methane had a GWP of 25 in the fourth assessment report from the IPCC. Using several different reported “equivalents” from various studies which use different impact methods would make your model more uncertain.
You would also have to be careful if the equivalents in the studies are expressed in terms of the functional unit and whether that functional unit is compatible with what you want to model.
Relating the equivalents to their designated pollutant may be difficult and time consuming for other impact categories.
Hope this helps
Ciara
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