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@PHDTHESIS{Blanke:1019576,
      author       = {Blanke, Tobias},
      othercontributors = {van Treeck, Christoph Alban and Döring, Bernd},
      title        = {{D}ynamische {S}trommarktemissionsfaktoren in der
                      {L}ebenszyklusanalyse von {G}ebäuden und {Q}uartieren},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2025-08439},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2025},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2026; Dissertation, Rheinisch-Westfälische
                      Technische Hochschule Aachen, 2025},
      abstract     = {Life cycle assessments (LCAs) are a key tool for evaluating
                      the environmental sustainability of buildings and districts.
                      Since buildings have a lifespan of several decades,
                      developments in the electricity sector are particularly
                      important for the operational phase. The electricity sector
                      is undergoing profound change as a result of the energy
                      transition. Fossil fuel-based, CO₂-intensive generation
                      capacities are increasingly being replaced by renewable
                      energies, which reduce the emission intensity of
                      electricity. At the same time, the temporal volatility of
                      electricity supply from photovoltaics and wind power is
                      increasing, which requires a differentiated view of
                      emissions over the course of the day and year. LCA that take
                      effects such as these into account are referred to as
                      dynamic life cycle assessments. In the building sector,
                      technological developments, climate change-related weather
                      changes, degradation of building technology and insulation,
                      and recycling play a role alongside developments in the
                      electricity sector. This thesis examines how these dynamic
                      factors—in particular the decarbonization and variability
                      of the electricity sector—affect the optimal dimensioning
                      of insulation, storages, and building technology. To this
                      end, four building types and two districts with different
                      heat pump systems are considered. To investigate the
                      questions, load profiles were generated for the different
                      building types and districts and coupled with a
                      mixed-integer linear optimization (MILP).This approach
                      allows the energy system design—especially for heat pumps,
                      storages, and insulation—to be optimized simultaneously
                      according to ecological criteria. The results show that
                      taking the decarbonization of the electricity sector into
                      account roughly halves the optimal insulation thickness in
                      all cases, making it the dominant influencing factor. It
                      also becomes clear that only hourly electricity data allows
                      for realistic dimensioning of electrical storage systems.
                      The thesis thus contributes to the further development of
                      future energy and sustainability standards by highlighting
                      the limitations of common static assessment methods.},
      cin          = {312410},
      ddc          = {624},
      cid          = {$I:(DE-82)312410_20140620$},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2025-08439},
      url          = {https://publications.rwth-aachen.de/record/1019576},
}