DC FieldValueLanguage
dc.contributor.authorVuthi, Petrit-
dc.contributor.authorPeters, Irene-
dc.contributor.authorSudeikat, Jan-
dc.date.accessioned2023-01-10T15:04:42Z-
dc.date.available2023-01-10T15:04:42Z-
dc.date.issued2022-12-20-
dc.identifier.issn2520-8942en_US
dc.identifier.urihttps://repos.hcu-hamburg.de/handle/hcu/856-
dc.description.abstractAdvancing the energy transition in real-world urban settings is attracting interest within interdisciplinary research communities. New challenges for local energy balancing arise particularly in urban neighborhoods where densely populated buildings are facing the needs of the heat transition, an increasing use of battery-electric vehicles and an expansion of renewable energies. Agent-based modeling (ABM) is a suitable approach for addressing various interlinked aspects like market mechanisms and processes, technology adoption, different stakeholder roles and the formulation of policy measures. In this work, we analyze peer-reviewed, open-access literature on ABM for energy neighborhoods and discuss key modeling aspects like model purpose and outcome, the logic of agents and decision-making, the treatment of space and time, and empirical grounding. These ABM allow the study of local market mechanisms, local renewable energy generation, microgrids, the unfolding of heat transition, neighborhood mobility and the evaluation of policies like regulation and financial incentives. We find a lack of integrated neighborhood energy assessments that simultaneously look at the different energy forms and applications: heating, electricity, and mobility. We present a consolidated ABM concept that integrates these sectors. Thus, our work contributes to the advancement of ABM and to the understanding of how to promote the transition to a decarbonized society in urban settings.en
dc.language.isoenen_US
dc.publisherSpringer-
dc.relation.ispartofEnergy Informaticsen_US
dc.subjectAgent-based modelingen
dc.subjectUrban neighborhood energy systemsen
dc.subjectLocal energy marketen
dc.subjectHeaten
dc.subjectBuildingen
dc.subjectMobilityen
dc.subject.ddc624: Ingenieurbau und Umwelttechnik-
dc.titleAgent-based modeling (ABM) for urban neighborhood energy systems: literature review and proposal for an all integrative ABM approachen
dc.typeArticle-
dc.relation.conferenceEnergy Informatics.Academy Conference 2022 (EI.A 2022), 24-25 August 2022, Vejle, Denmark.en_US
dc.type.diniarticle-
dc.type.driverarticle-
dc.rights.cchttps://creativecommons.org/licenses/by/4.0/en_US
dc.type.casraiJournal Article-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:1373-repos-10878-
tuhh.oai.showtrueen_US
tuhh.publisher.doi10.1186/s42162-022-00247-y-
tuhh.publication.instituteInfrastrukturplanung und Stadttechniken_US
tuhh.type.opus(wissenschaftlicher) Artikel-
tuhh.container.issueSuppl 4en_US
tuhh.container.volume5en_US
tuhh.type.rdmfalse-
openaire.rightsinfo:eu-repo/semantics/openAccessen_US
item.creatorOrcidVuthi, Petrit-
item.creatorOrcidPeters, Irene-
item.creatorOrcidSudeikat, Jan-
item.creatorGNDVuthi, Petrit-
item.creatorGNDPeters, Irene-
item.creatorGNDSudeikat, Jan-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypeArticle-
crisitem.author.deptInfrastrukturplanung und Stadttechnik-
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