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126   Biofuels for a More Sustainable Future


          The Inventory Analysis phase of LCA is concerned with the collection of
          technical data, such as the mass and energy flows throughout the system’s
          life cycle, and the estimation of flows to, and from, the environment. Typ-
          ically this is achieved with some reliance on existing databases or literature to
          provide data for background systems (e.g., data on the environmental bur-
          dens associated with material inputs). In Europe, for instance, the Swiss non-
          profit “Ecoinvent” database (Ecoinvent, 2018) is the most widely used and
          accepted life cycle inventory database. Many other similar databases exist,
          such as the US LCI Database managed by NREL (National Renewable
          Energy Laboratory, 2012).
             The third phase of LCA, Impact Assessment, uses environmental impact
          coefficients, often referred to as characterization factors, to estimate the
          potential environmental impacts caused by the burdens identified during
          the Inventory Analysis phase. These impacts are calculated as follows:
                                        X
                                   E k ¼   e k, j  B j
          where
             E k ¼ Total environmental impact k
             e k,j ¼ Environmental impact coefficient describing the contribution of
          substance j to impact k
             B j ¼ Environmental burden of substance j contributing to the impact k
             The impact categories included in an LCA act as useful environmental
          indicators for potential adoption in LCSA. However, the exact list of indi-
          cators generated by an LCA depends on the impact assessment method
          adopted and a variety of options exists. Much of the existing literature
          has used the CML method (Guin ee et al., 2002) but there is increasing con-
          sensus that this is now outdated. Alternatives include IMPACT2002+
          ( Jolliet et al., 2003), TRACI (Bare, 2002; Bare, 2011), ILCD (Wolf
          et al., 2012), and ReCiPe (Goedkoop et al., 2012; Huijbregts et al.,
          2016). Of these options, ReCiPe is often seen as the state of the art and there
          is some evidence to suggest that it is the most widely used method, although
          a plurality is evident in the community (Prox, 2018). Table 5.2 lists the LCA
          impact categories in the CML, ILCD, and ReCiPe methods.
             In all cases, the characterization factors used to account for global warm-
          ing/climate change are derived from the reports of the Intergovernmental
          Panel on Climate Change (e.g., IPCC, 2014). It should be noted that this
          indicator presents specific challenges when applied to systems with biolog-
          ical components, such as the food or bioenergy sectors, due to the need to
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