On the other hand, data of the SU scenario were retrieved by the literature. For this reason, for a quantitative determination of uncertainties associated to each LCI parameter, we referred to the data quality pedigree matrix. Table in ESI lists the indicator scores assigned to each parameter and the related geometric standard deviation used in uncertainty analysis. A Monte Carlo simulation with 10,000 runs was also carried out to determine how the intrinsic variability of the parameters and the quality of the data used in the modelling may affect the outcomes.