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dc.contributor.authorRana, Rubi
dc.contributor.authorDegefa, Merkebu Zenebe
dc.contributor.authorBerg, Kjersti
dc.contributor.authorLöschenbrand, Markus
dc.date.accessioned2022-03-10T12:23:58Z
dc.date.available2022-03-10T12:23:58Z
dc.date.created2021-10-22T08:47:37Z
dc.date.issued2021
dc.identifier.isbn978-82-14-07721-6
dc.identifier.urihttps://hdl.handle.net/11250/2984263
dc.description.abstractDue to the absence of well documented experiences from implementations of Local Energy Communities (LECs), it is very difficult to infer implications of increased LEC integrations for the distribution network as well as for the wider society. To conduct quantifiable assessment of different control architectures, LEC types and market frameworks in the FINE project, a flexible and comprehensive LEC modelling, and simulation approach is being established. Modelling LECs and the environment they operate in can involve the co-modelling of different domains such as power system, control, market, and communication. In addition, one can imagine different levels of autonomy in terms of the Energy Management System (EMS) which can be community level (LEC EMS) or down to component level such as Battery EMS. The modelling approaches which focus on marketbased activation of flexibility and EMS decision making are likely to face uncertain aspects such as customer behaviour. In this report, the different LEC modelling approaches in the reviewed literature are presented together with a selected modelling approach outlined for the FINE project.en_US
dc.language.isoengen_US
dc.publisherSINTEF Energi ASen_US
dc.relation.ispartofSINTEF Rapport
dc.relation.ispartofseriesSINTEF Rapport;
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleModelling Approaches for Local Energy Communityen_US
dc.typeResearch reporten_US
dc.description.versionpublishedVersionen_US
dc.rights.holderSINTEF Energi ASen_US
dc.source.pagenumber38en_US
dc.source.issue2021:01005en_US
dc.identifier.cristin1947738
dc.relation.projectNorges forskningsråd: 308833en_US
cristin.ispublishedtrue
cristin.fulltextoriginal


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