Page 125 - Materials Chemistry, Second Edition
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108   LIFE CYCLE ASSESSMENT HANDBOOK

              study's  goal and  scope. In making such  a choice, the following  factors  should
              be taken into  consideration:


                   •  Physical  delimitation  of  activities  such  as principal  process  type
                      (e.g., from  site-specific  to industry-average  type) and  the  specific
                      size of the process to be  modeled;
                   •  Impact categories to be evaluated during the impact  assessment;
                   •  Technology  covered;
                   •  Time period  covered;
                   •  Geographical area  covered;
                                  1
                   •  Cut-off  rules  for data,  if any, are applied  (these rules should  pro-
                      vide a rationale for the significance  of the various  flows  of the unit
                      process dataset);
                   •  Provision  of  uncertainty  information  for  inputs  and  outputs  of
                      the process to allow  for uncertainty  analysis;
                   •  Targeted  databases  for  unit  process  datasets  that  are  considered
                      to be high priority; and
                   •  Intended  use  of  the  dataset  in  general  (applications,  modeling
                      situations  including  attributional  or  consequential  modeling,
                      comparative  assertions).

                 A well-defined  scope helps answer  questions, which, in turn, help the  ana-
              lyst  determine  the  level  or type  of  information  that  is required.  For  example,
              even  when  the  analyst  can  obtain  actual  industry  data,  in  what  form  and  to
              what  degree  of  specificity  should  the  analyst  show  the  data  (i.e., the  range
              of  values  observed,  industry  average,  plant-specific  data,  best  available  con-
              trol techniques, etc.)? Recommended  practice  for  external  life-cycle  inventory
              studies  includes  the  provision  of  a measure  of  data  variability  in  addition  to
              averages. Frequently, the measure  of variability will be a statistical  parameter,
              such as standard  deviation  (EPA 2006).


              5.2.2  A Word   on Consequential    Life  Cycle  Assessment

              LCA was   initially developed  to assess industrial  systems related  to  consumer
              products. Since then, there has been a distinct shift in applying it to larger scales
              of  industrial  operations.  By 2005, LCA practitioners  began  making  a  distinc-
              tion  between  how  LCAs  that  accounted  for  stoichiometric-like  relationships
              between  physical  flows  to  and  from  a  product  or  process  in  an  attributional
              style, to  a ones that  were  more  encompassing  of  the  consequences  of  change
              in  response  to  decisions,  in  a  consequential  LCA  (Curran  et  ah,  2005). As  a
              result,  the  process  of  system  expansion  (to  avoid  or  deal  with  the  allocation


              1  Non-reference  product  flows, waste  flows, and  elementary  flows  that can  safely be labeled  as
              "irrelevant"  can be ignored  (i.e. "cut-off"). However, care must be taken to not cut off more  flows
              and related impacts than are acceptable to still meet the goal and scope, and the datasets used  to
              model  a system meet the required  completeness  (UNEP/SETAC  2011).
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