Session
MO.2.A || Life Cycle Approaches in the Raw Materials Sector II
Authors
SALA, Dariusz; Bieda, Bogusław
Abstract
According to European Commission’s Report on Critical Raw Materials and the Circular Economy the raw materials, such as rare earths, have a high economic importance for the EU, and are essential for the production of a broad range of goods and applications used in everyday life, as well as they are crucial for a strong European industrial base. Uncertainty play important role in the real world used Life Cycle Assessment (LCA) approach. The validity of LCA depends strongly on the significance of the input data. Data uncertainty is often mentioned as a crucial limitation for a clear interpretation of LCA results The stochastic modelling used Monte Carlo (MC) analysis simulation was reported in order to assess uncertainty in life cycle inventory (LCI) of rare earth elements (REEs) recovery. The purpose of this study are REEs recovery from secondary sources analyzed in the ENVIREE ERA-NET ERA-MIN-funded research project. The software Crystal Ball® (CB) program, associated with Microsoft® Excel, was used for the uncertainties analysis. Uncertainty of data can be expressed through a definition of probability distribution of that data. The output report provided by CB, after 10000 runs is reflected in the frequency charts and summary statistics. The analysed parameters was assigned with lognormal distribution. The uncertainty analysis offer a well-defined procedure for LCI studies, and provide the basis for defining the data needs for full LCA of the REEs beneficiation process. Results can improve current procedures in the REEs beneficiation processes management and bring closer to industrial application through involvement of end users.