Page 49 - Materials Chemistry, Second Edition
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44          3. Life cycle thinking tools: Life cycle assessment, life cycle costing and social life cycle assessment

                   After data collection, a calculation procedure to validate the collected data has to be
                 implemented; data have to be connected to the unit process and to the reference flow of
                 the functional unit. These actions are necessary to generate the results of the inventory phase.
                   In this phase, a required item concerns allocation procedures. The main problem is which
                 flows and environmental interventions must be allocated to the functional unit, and which
                 should be allocated to other product systems. Within LCA studies, two different cases have
                 to be distinguished for the application of allocation procedures (Toniolo et al., 2017a). The first
                 case occurs when simultaneous products are manufactured and thus, different inputs and
                 outputs shall be allocated to different products, whereas the second case occurs when subse-
                 quent products are realized in recycling or reuse systems. In general, almost all of the indus-
                 trial processes produce more than one product or recycle a portion of the waste material
                 (Frischknecht et al., 2005, 2007; Frischknecht, 2010).
                   However, even if in general allocation procedures represent a critical point (Ardente and
                 Cellura, 2012), this distinction is not deeply investigated in ISO 14040 and ISO 14044. Any-
                 way, it is possible to appeal to ISO TR 14049 where some examples are described and some
                 considerations are added. Other considerations can be found in the ILCD (International
                 reference Life Cycle Data system) handbook. If the market value of the waste or end-of-life
                 product at its point of origin is above zero, in LCA perspective, it is a co-product and the
                 multifunctionality has to be solved by allocation. However, the case of recycling is insofar
                 different from the general case of multifunctionality, as the secondary good is not only a
                 co-function of the system, but is itself recycled again and again (while each time at lower
                 amounts and/or quality, considering losses of each loop) (EC-JRC, 2010).


                 3.1.3 Life cycle impact assessment

                   In this phase, the effects of the substances on the selected impact categories and the pro-
                 cesses that generated them are analyzed (Toniolo et al., 2017b). Inventory data are associated
                 with environmental impact categories and category indicators. The elements within this
                 phase are (ISO, 2006b):

                 – Classification. Classification assesses which global/local impact the input/output is
                   contributing to. There are input-relating categories and output-related categories. There
                   are several categories that are commonly used, such as climate change, ozone layer
                   depletion, eutrophication, acidification, particulate matter formation, and several impact
                   categories under development, such as acoustic impact.
                 – Characterization. Impacts are quantified within given categories with the general Eq. (3.1)
                   (Goedkoop et al., 2013):
                                                 EP jðÞi ¼ Q EQ jðÞI                          (3.1)
                   where EP( j)i is the environmental impact of substance i with reference to the impact cat-
                 egory j, Q is the quantity of substance I, and EQ( j)i is a factor representing the substance i
                 contribution to the impact j. Different substances contributing to an environmental impact
                 are aggregated considering their substance-specific effect. Scientific models are used, there-
                 fore characterization could be considered objective. Fig. 3.3 shows an example of character-
                 ized results of an LCA study.
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