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L1644_C02.fm  Page 47  Tuesday, October 21, 2003  3:07 PM










                                                               TOTAL LCA
                                       Raw Material

                                       Air Emissions
                                                       PARTIAL LCA 1
                                       Liquid
                                       Emissions

                                       Solid Waste
                                                                    PARTIAL LCA 2

                                       Energy Losses

                                       Noise                  TOTAL LCA

                                               Cradle      Gate 1      Gate       Grave
                             FIGURE 2.3 Boundaries in LCA.


                             described and assessed in a systematic way that allows other practitioners to under-
                             stand and reproduce the actual LCA. Initial data quality requirements must be done
                             with the assistance of the following parameters:

                                •  Time-related coverage concerns a representative age (e.g., a period of 5
                                   years) and minimum time frequency (e.g., annual).
                                •  Geographical coverage means a geographic area from which data for a
                                   process unit should be collected (local, regional, national, continental or
                                   global) in order to satisfy the goal and approach (site specific or chain
                                   specific) of the study.
                                •  Technology coverage reflects the nature of the technology used in process
                                   units. Depending on the product system and the goal of the study, a
                                   technological mix should be used. In this case, the technology coverage
                                   is considered, for example, as weighted average of the actual process mix,
                                   best available technology or worst operating unit.

                                Further description that defines the nature of the data collected from specific
                             sites vs. data from published sources and whether the data are be measured, calcu-
                             lated (e.g., by material or energy balance) or estimated by similarity (from other
                             process units with similar operational conditions to that presented by the system in
                             study) will also be considered.
                                Data quality indicators such as precision, completeness, representativeness, con-
                             sistency and reproducibility should be taken into consideration in a level of detail
                             depending on the premises of the goal and scope definition step. Chapter 5 presents
                             and discusses some techniques of data analysis applied in order to assess the uncer-
                             tainty of the data to be used in the life-cycle inventory.


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