% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Reinert:904191,
      author       = {Reinert, Christiane and Deutz, Sarah and Minten, Hannah and
                      Dörpinghaus, Lukas and von Pfingsten, Sarah and
                      Baumgärtner, Nils and Bardow, André},
      title        = {{E}nvironmental impacts of the future {G}erman energy
                      system from integrated energy systems optimization and
                      dynamic life cycle assessment},
      journal      = {Computers $\&$ chemical engineering},
      volume       = {153},
      issn         = {0098-1354},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2021-05761},
      pages        = {107406 -},
      year         = {2021},
      abstract     = {Mitigating climate change requires a fundamental
                      transformation of our energy systems. This transformation
                      should not shift burdens to other environmental impacts.
                      Current energy models account for environmental impacts
                      using Life Cycle Inventories (LCIs) that typically rely on
                      historic processes. Thus, the LCIs are static and do not
                      reflect improvements in underlying background processes,
                      e.g., in the energy supply. Dynamic Life Cycle Assessment
                      (LCA) incorporates changes in the LCI and allows for a
                      consistent assessment of future energy systems. We integrate
                      dynamic LCA in a national energy system optimization and
                      discuss the differences between employing static and dynamic
                      LCA in energy system optimization and assessment. Dynamic
                      LCA leads to lower environmental impacts in most categories
                      (e.g., climate change: $-18\%)$ and is required for a
                      quantitative environmental assessment. However, our analysis
                      shows that static LCA is sufficient to identify general
                      trends in energy system optimization and assessment for
                      Germany till 2050.},
      cin          = {IEK-10},
      ddc          = {660},
      cid          = {I:(DE-Juel1)IEK-10-20170217},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000683569900014},
      doi          = {10.1016/j.compchemeng.2021.107406},
      url          = {https://juser.fz-juelich.de/record/904191},
}