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Towards an Infrastructure for Energy Model Computation and Linkage

dc.contributor.authorReichelt, David Georg
dc.contributor.authorKühne, Stefan
dc.contributor.authorScheller, Fabian
dc.contributor.authorAbitz, Daniel
dc.contributor.authorJohanning, Simon
dc.contributor.editorReussner, Ralf H.
dc.contributor.editorKoziolek, Anne
dc.contributor.editorHeinrich, Robert
dc.date.accessioned2021-01-27T13:33:30Z
dc.date.available2021-01-27T13:33:30Z
dc.date.issued2021
dc.description.abstractDecision makers strive for optimal ways of production and usage of energy. To adjust their behavior to the future situation of markets and technology, the execution of different models predicting e.g. energy consumption, energy production, prices and consumer behavior is necessary. This execution is itself time-consuming and requires input data management. Furthermore, since different models cover different aspects of the energy domain, they need to be linked. To speed up the linkage and reduce manual errors, these linkage needs to be automated. We present IRPsim, an infrastructure for computation of different models and their linkage. The IRPsim-infrastructure enables management of model data in a structured database, parallelized model execution and automatic model linkage. Thereby, IRPsim allows researchers and practitioners to use energy system models for strategic business model analysis.en
dc.identifier.doi10.18420/inf2020_21
dc.identifier.isbn978-3-88579-701-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34728
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2020
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-307
dc.titleTowards an Infrastructure for Energy Model Computation and Linkageen
gi.citation.endPage235
gi.citation.startPage225
gi.conference.date28. September - 2. Oktober 2020
gi.conference.locationKarlsruhe
gi.conference.sessiontitle8. Workshop Umweltinformatik zwischen Nachhaltigkeit und Wandel

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