Page 156 - Materials Chemistry, Second Edition
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9 Life Cycle Inventory Analysis                                 141

            Table 9.4 (continued)
                                             Examples and notes
                    Consultants              Person having long experience with conducting
                                             similar studies
                    Industry representatives  Person with broad overview of relevant industry
                    Public
                    Other LCA studies        Academic literature, reports commissioned by
                                             companies
                    LCI databases            ecoinvent, LCAfood
                    LCI models               PestLCI
                    Company CSR reports      Mentioning of key environmental figures
                    Industry association reports and  Volumes produced, average elementary flows
                    databases
                    Legal documents          Details on best available technologies, regulatory
                                             thresholds
                    National or supranational statistical  Mixes of waste treatment, transport, energy, etc.
                    agencies
                    Consumer organisations   Average life time of products
            Data    Online search            Google, databases, websites
            access  Questionnaire            Employees at commissioning company or
                                             suppliers
                    Direct dialogue          Physical visits to site, email or telephone contact
                    First-hand gathering by LCA  Measurements at site with own equipment
                    practitioner
            The points listed under each dimension are illustrative and not exhaustive




            9.3.1  Very High and High Data Specificity


            The data type to be prioritised is always complete unit processes, because these
            form the basis of the LCI results. However, for very high and high data specificity,
            complete site-specific unit processes often do not exist and therefore must be
            constructed by the practitioner from single data points.
              For very high specificity, these data points are directly measured input and
            output flows, i.e. elementary flows from/to the ecosphere and other flows from/to
            other processes in the technosphere. Ideally, elementary flow data should be
            gathered in the physical unit matching the characterisation factors to be applied in
            LCIA (usually ‘kg’) per specific reference flow of the unit process (usually the
            primary product output). For a CO 2 emission (i.e. elementary flow) from an elec-
            tricity generation process, this would mean an amount of kg CO 2 per kWh elec-
            tricity produced. Often, a directly measured flow will not be available in this form,
            but rather as a quantity per unit of time (e.g. kg per year). In this case, the flow
            needs to be scaled to one unit of reference flow. Figure 9.6 shows an example of
            how to do this in practice.
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