000911698 001__ 911698
000911698 005__ 20250317091733.0
000911698 020__ $$a978-3-031-24906-8 (print)
000911698 020__ $$a978-3-031-24907-5 (electronic)
000911698 0247_ $$2doi$$a10.1007/978-3-031-24907-5_13
000911698 0247_ $$2datacite_doi$$a10.34734/FZJ-2022-04952
000911698 037__ $$aFZJ-2022-04952
000911698 1001_ $$0P:(DE-HGF)0$$aFrey, Ulrich$$b0$$eCorresponding author
000911698 1112_ $$aInternational Conference on Operations Research$$cKarlsruhe$$d2022-09-06 - 2022-09-09$$gOR 2022$$wGermany
000911698 245__ $$aA multi-perspective approach for exploring the scenario space of future power systems
000911698 260__ $$aCham$$bSpringer International Publishing$$c2023
000911698 29510 $$aOperations Research Proceedings 2022 / Grothe, Oliver (Editor) ; Cham : Springer International Publishing, 2023, Chapter 13 ; ISSN: 2731-040X=2731-0418 ; ISBN: 978-3-031-24906-8=978-3-031-24907-5 ; doi:10.1007/978-3-031-24907-5
000911698 300__ $$a105-112
000911698 3367_ $$2ORCID$$aCONFERENCE_PAPER
000911698 3367_ $$033$$2EndNote$$aConference Paper
000911698 3367_ $$2BibTeX$$aINPROCEEDINGS
000911698 3367_ $$2DRIVER$$aconferenceObject
000911698 3367_ $$2DataCite$$aOutput Types/Conference Paper
000911698 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1696944667_319
000911698 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000911698 4900_ $$aLecture Notes in Operations Research
000911698 520__ $$aThere are many possible future energy systems – many of them unforeseen. We explore the range of parameter uncertainty and quantify parameter interrelations to generate multiple scenarios. Only sensible parameter combinations remain as in-puts to an energy system optimization and coupled models. In the past, computa-tional limitations have been a major obstacle to calculate such an enormous space of scenarios. Opposed to that, we use high-performance computing. To utilize the HPC-system efficiently the parallel solver for linear programs PIPS-IPM++ is applied. We integrate it into a tool chain of different components including sce-nario generation, energy system optimization and results evaluation and tackle the challenge of coupling a large diversity of software packages in a fully automated HPC workflow. This enables the calculation of all scenarios in a matter of days. Furthermore, we use a set of 37 indicators to provide a comprehensive assess-ment of the simulated energy systems. In this way, we cover multiple perspec-tives, such as system adequacy, security of supply or behavior of market actors. Whereas scenarios with low spatial resolution do not lead to clear results, higher resolutions do. Yet, we identified three clusters of scenarios, among which a group with high natural gas dependency is found. This allows to study disruptive events like price shocks in a vast parameter space and to identify countermeasures for the long-term.
000911698 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000911698 536__ $$0G:(BMWi)03EI1004F$$aVerbundvorhaben: 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)$$c03EI1004F$$x1
000911698 536__ $$0G:(DE-Juel-1)ATMLAO$$aATMLAO - ATML Application Optimization and User Service Tools (ATMLAO)$$cATMLAO$$x2
000911698 588__ $$aDataset connected to CrossRef Book Series, Journals: juser.fz-juelich.de
000911698 7001_ $$0P:(DE-HGF)0$$aCao, Karl-Kien$$b1
000911698 7001_ $$0P:(DE-Juel1)138707$$aBreuer, Thomas$$b2$$ufzj
000911698 7001_ $$0P:(DE-HGF)0$$aWetzel, Manuel$$b3
000911698 7001_ $$0P:(DE-HGF)0$$aSasanpour, Shima$$b4
000911698 7001_ $$0P:(DE-HGF)0$$aBuschmann, Jan$$b5
000911698 7001_ $$0P:(DE-HGF)0$$avon Krbek, Kai$$b6
000911698 7001_ $$0P:(DE-HGF)0$$aBöhme, Aileen$$b7
000911698 773__ $$a10.1007/978-3-031-24907-5_13
000911698 8564_ $$uhttps://juser.fz-juelich.de/record/911698/files/20221908_Cao-OR2022.pdf$$yOpenAccess
000911698 8564_ $$uhttps://juser.fz-juelich.de/record/911698/files/Proceedings_OR2022.pdf$$yOpenAccess
000911698 909CO $$ooai:juser.fz-juelich.de:911698$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000911698 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)138707$$aForschungszentrum Jülich$$b2$$kFZJ
000911698 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
000911698 9141_ $$y2023
000911698 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000911698 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000911698 980__ $$acontrib
000911698 980__ $$aVDB
000911698 980__ $$aUNRESTRICTED
000911698 980__ $$acontb
000911698 980__ $$aI:(DE-Juel1)JSC-20090406
000911698 9801_ $$aFullTexts