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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorREMACI, Ahmed
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorMERLO, Christophe
ORCID: 0000-0002-7010-306X
IDREF: 79158552
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorCUREA, Octavian
ORCID: 0000-0002-5030-2088
IDREF: 68259131
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorHACALA, Amélie
IDREF: 232620067
dc.contributor.authorGUERRE, Vincent
dc.date.accessioned2023-12-06T13:23:58Z
dc.date.available2023-12-06T13:23:58Z
dc.date.conference2016-05-10
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/186404
dc.description.abstractEnNowadays, the world attends an energy transition, which is motivated by the massive use of fossil energies that is at the origin of greenhouse gas emissions, in particular carbon monoxide/dioxide. Therefore, this energy transition promotes the large-scale use of renewable energy sources. The intermittence and the fluctuation of these sources make their integration difficult; this is why the incorporation of energy storage can provide additional beneficial features and aid in its further growth. This paper gives an overview about the electrical energy conversion and storage. A particular attention is paid to Power to Gas. To perform an optimized sizing of power to gas system, there must be a modeled, which approximates the behavior of the real physical system. To do this multi-physics modeling is required. The macroscopic energy performance will be used in modeling each system component. EMR is a graphical modeling tool that facilitate understanding of the model of the energy chain. EMR modeling approach is a reliable option for real-time energy management of energy system macroscopically.
dc.language.isoENen_US
dc.title.enRenewable Electricity conversion and storage: Focus on Power to Gas process, EMR modelling and simulation
dc.typeCommunication dans un congrèsen_US
dc.subject.halSciences de l'ingénieur [physics]/Energie électriqueen_US
dc.subject.halSciences de l'ingénieur [physics]/Génie des procédésen_US
dc.subject.halSciences de l'ingénieur [physics]/Automatique / Robotiqueen_US
dc.subject.halChimie/Catalyseen_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.conference.titlePower Conversion and Intelligent Motionen_US
bordeaux.countrydeen_US
bordeaux.conference.cityNurembergen_US
bordeaux.import.sourcehal
hal.identifierhal-01333366
hal.version1
hal.invitednonen_US
hal.proceedingsnonen_US
hal.conference.end2016-05-12
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=REMACI,%20Ahmed&MERLO,%20Christophe&CUREA,%20Octavian&HACALA,%20Am%C3%A9lie&GUERRE,%20Vincent&rft.genre=unknown


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