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dc.contributor.author
Fonseca, Jimeno A.
dc.contributor.author
Schlueter, Arno
dc.date.accessioned
2021-07-26T09:25:48Z
dc.date.available
2017-06-11T16:02:00Z
dc.date.available
2021-07-26T09:25:48Z
dc.date.issued
2015-03-15
dc.identifier.issn
0306-2619
dc.identifier.issn
1872-9118
dc.identifier.other
10.1016/j.apenergy.2014.12.068
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/97846
dc.description.abstract
We introduce an integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts. The model addresses the need for a comprehensive method to identify present and potential states of building energy consumption in the context of urban transformation. The focus lies on determining the spatiotemporal variability of energy services in both standing and future buildings in the residential, commercial and industrial sectors. This detailed characterization facilitates the assessment of potential energy efficiency measures at the neighborhood and city district scales. In a novel approach we integrated existing methods in urban and energy planning domains such as spatial analysis, dynamic building energy modeling and energy mapping to provide a comprehensive, multi-scale and multi-dimensional model of analysis. The model is part of a geographic information system (GIS), which serves as a platform for the allocation and future dissemination of spatiotemporal data. The model is validated against measured data and a peer model for a city district in Switzerland. In this context, we present practical applications in the analysis of energy efficiency measures in buildings and urban zoning. We furthermore discuss potential applications in educational, urban and energy planning practices.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Urban energy modeling
en_US
dc.subject
Geographic information systems
en_US
dc.subject
Spatiotemporal analysis
en_US
dc.subject
Neighborhoods and city districts
en_US
dc.subject
Energy efficiency
en_US
dc.subject
Characterization of energy services
en_US
dc.title
Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts
en_US
dc.type
Journal Article
dc.date.published
2015-01-15
ethz.journal.title
Applied Energy
ethz.journal.volume
142
en_US
ethz.journal.abbreviated
Appl. Energy
ethz.pages.start
247
en_US
ethz.pages.end
265
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02602 - Inst. f. Technologie in der Architektur / Institute for Technology in Architecture::03902 - Schlüter, Arno / Schlüter, Arno
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02602 - Inst. f. Technologie in der Architektur / Institute for Technology in Architecture::03902 - Schlüter, Arno / Schlüter, Arno
ethz.date.deposited
2017-06-11T16:02:11Z
ethz.source
ECIT
ethz.identifier.importid
imp593652e86967240304
ethz.ecitpid
pub:152996
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-18T10:04:50Z
ethz.rosetta.lastUpdated
2022-03-29T10:39:49Z
ethz.rosetta.versionExported
true
ethz.COinS
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