Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/56246
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dc.contributor.authorGaltier, Virginieen_US
dc.contributor.authorIanotto, Michelen_US
dc.contributor.authorCaujolle, Mathieuen_US
dc.contributor.authorCorniglion, Rémien_US
dc.contributor.authorTavella, Jean-Philippeen_US
dc.contributor.authorEvora Gomez,Joseen_US
dc.contributor.authorHernández Cabrera, José Juanen_US
dc.contributor.authorReinbold, Vincenten_US
dc.contributor.authorKremers, Enriqueen_US
dc.date.accessioned2019-07-26T10:22:53Z-
dc.date.available2019-07-26T10:22:53Z-
dc.date.issued2017en_US
dc.identifier.isbn978-91-7685-575-1en_US
dc.identifier.issn1650-3686en_US
dc.identifier.urihttp://hdl.handle.net/10553/56246-
dc.description.abstractThe development of complex multi-domain and multi-physic systems, such as Smart Electric Grids, havegiven rise to new challenges in the simulation domain.These challenges concern the capability to couple multi-ple domain-specific simulators, and the FMI standard isan answer to this. But they also concern the scalabilityand the accuracy of the simulation within an heterogenoussystem. We propose and implement here the concept of aMatryoshka FMU, i.e. a first of its kind FMU compliantwith the version 2.0 of the FMI standard. It encapsulatesDACCOSIM– our distributed and parallel master architec-ture – and the FMUs it controls. The Matryoshka auto-matically adapts its internal time steps to ensure the re-quired accuracy while it is controlled by an external FMU-compliant simulator. We present the JavaFMI tools andtheDACCOSIMmiddleware used in the automatic buildingprocess of such Matryoshka FMUs. This approach is thenapplied on a real-life Distributed Energy System scenario.Regarding the Modelica system simulated in Dymola, im-provements up to 250% in terms of computational perfor-mance are achieved while preserving the simulation accu-racy and enhancing its integration capability.en_US
dc.languageengen_US
dc.relation.ispartofLinköping electronic conference proceedingsen_US
dc.sourceProceedings of the 12th International Modelica Conference / Andreas Nicolai; Anne Paepcke (ed.), May 15-17, 2017, Prague, Czech Republic. p. 663-671en_US
dc.subject33 Ciencias tecnológicasen_US
dc.subject.otherCo-simulation toolen_US
dc.subject.otherMulti-threaded executionen_US
dc.subject.otherMaster algorithmen_US
dc.subject.otherFMUen_US
dc.subject.otherFMI standarden_US
dc.titleExperimenting with Matryoshka co-simulation: building parallel and hierarchical FMUsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.identifier.doi10.3384/ecp17132663en_US
dc.description.lastpage671-
dc.description.firstpage663-
dc.relation.volume132-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.identifier.ulpgces
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0003-2427-2441-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameÉvora Gómez, José-
crisitem.author.fullNameHernández Cabrera, José Juan-
Colección:Actas de congresos
miniatura
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