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@INPROCEEDINGS{Cao:911696,
      author       = {Cao, Karl-Kien and Frey, Ulrich and Breuer, Thomas and
                      Wetzel, Manuel and Sasanpour, Shima and Buschmann, Jan and
                      von Krbek, Kai and Böhme, Aileen},
      title        = {{A} multi-perspective approach for exploring the scenario
                      space of future power systems},
      reportid     = {FZJ-2022-04950},
      year         = {2022},
      abstract     = {There are many possible future energy systems – many of
                      them unforeseen. We explore the range of parameter
                      uncertainty and quantify parameter interrelations to
                      generate multiple scenarios. Only sensible parameter
                      combinations remain as in-puts to an energy system
                      optimization and coupled models. In the past, computa-tional
                      limitations have been a major obstacle to calculate such an
                      enormous space of scenarios. Opposed to that, we use
                      high-performance computing. To utilize the HPC-system
                      efficiently the parallel solver for linear programs
                      PIPS-IPM++ is applied. We integrate it into a tool chain of
                      different components including sce-nario generation, energy
                      system optimization and results evaluation and tackle the
                      challenge of coupling a large diversity of software packages
                      in a fully automated HPC workflow. This enables the
                      calculation of all scenarios in a matter of days.
                      Furthermore, we use a set of 37 indicators to provide a
                      comprehensive assess-ment of the simulated energy systems.
                      In this way, we cover multiple perspec-tives, such as system
                      adequacy, security of supply or behavior of market actors.
                      Whereas scenarios with low spatial resolution do not lead to
                      clear results, higher resolutions do. Yet, we identified
                      three clusters of scenarios, among which a group with high
                      natural gas dependency is found. This allows to study
                      disruptive events like price shocks in a vast parameter
                      space and to identify countermeasures for the long-term.},
      month         = {Sep},
      date          = {2022-09-06},
      organization  = {International Conference on Operations
                       Research, Karlsruhe (Germany), 6 Sep
                       2022 - 9 Sep 2022},
      subtyp        = {After Call},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / Verbundvorhaben: UNSEEN '
                      Bewertung der Unsicherheiten in linear optimierenden
                      Energiesystem-Modellen unter Zuhilfenahme Neuronaler Netze,
                      Teilvorhaben: Entwicklung einer integrierten HPC-Workflow
                      Umgebung zur Kopplung von Optimierungsmethoden mit Methode
                      (03EI1004F) / ATMLAO - ATML Application Optimization and
                      User Service Tools (ATMLAO)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(BMWi)03EI1004F /
                      G:(DE-Juel-1)ATMLAO},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/911696},
}