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@ARTICLE{Kleinekorte:889919,
      author       = {Kleinekorte, Johanna and Fleitmann, Lorenz and Bachmann,
                      Marvin and Kätelhön, Arne and Barbosa-Póvoa, Ana and von
                      der Assen, Niklas and Bardow, André},
      title        = {{L}ife {C}ycle {A}ssessment for the {D}esign of {C}hemical
                      {P}rocesses, {P}roducts, and {S}upply {C}hains},
      journal      = {Annual review of chemical and biomolecular engineering},
      volume       = {11},
      number       = {1},
      issn         = {1947-5438},
      address      = {Palo Alto, Calif.},
      publisher    = {Annual Reviews74743},
      reportid     = {FZJ-2021-00527},
      pages        = {203-233},
      year         = {2020},
      note         = {Kein Zugriff auf Post-print},
      abstract     = {Design in the chemical industry increasingly aims not only
                      at economic but also at environmental targets. Environmental
                      targets are usually best quantified using the standardized,
                      holistic method of life cycle assessment (LCA). The
                      resulting life cycle perspective poses a major challenge to
                      chemical engineering design because the design scope is
                      expanded to include process, product, and supply chain.
                      Here, we first provide a brief tutorial highlighting key
                      elements of LCA. Methods to fill data gaps in LCA are
                      discussed, as capturing the full life cycle is data
                      intensive. On this basis, we review recent methods for
                      integrating LCA into the design of chemical processes,
                      products, and supply chains. Whereas adding LCA as a
                      posteriori tool for decision support can be regarded as
                      established, the integration of LCA into the design process
                      is an active field of research. We present recent advances
                      and derive future challenges for LCA-based design.},
      cin          = {IEK-10},
      ddc          = {540},
      cid          = {I:(DE-Juel1)IEK-10-20170217},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32216728},
      UT           = {WOS:000591546900010},
      doi          = {10.1146/annurev-chembioeng-011520-075844},
      url          = {https://juser.fz-juelich.de/record/889919},
}