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Scale aware modeling and monitoring of the urban energy chain

Nichersu, Alexandru ORCID iD icon 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

With energy modeling at different complexity levels for smart cities and the concurrent data availability revolution from connected devices, a steady surge in demand for spatial knowledge has been observed in the energy sector. This transformation occurs in population centers focused on efficient energy use and quality of life. Energy-related services play an essential role in this mix, as they facilitate or interact with all other city services. This trend is primarily driven by the current age of the Ger.: Energiewende or energy transition, a worldwide push towards renewable energy sources, increased energy use efficiency, and local energy production that requires precise estimates of local energy demand and production. This shift in the energy market occurs as the world becomes aware of human-induced climate change, to which the building stock has a significant contribution (40% in the European Union). At the current rate of refurbishment and building replacement, of the buildings existing in 2050 in the European Union, 75% would not be classified as energy-efficient. That means that substantial structural change in the built environment and the energy chain is required to achieve EU-wide goals concerning environmental and energy policy. ... mehr


Volltext §
DOI: 10.5445/IR/1000149384
Veröffentlicht am 11.08.2022
Cover der Publikation
Zugehörige Institution(en) am KIT European Institute for Energy Research (EIFER)
Geodätisches Institut (GIK)
Institut für Automation und angewandte Informatik (IAI)
Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Hochschulschrift
Publikationsdatum 11.08.2022
Sprache Englisch
Identifikator KITopen-ID: 1000149384
Verlag Karlsruher Institut für Technologie (KIT)
Umfang xxv, 160 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU)
Institut Institut für Photogrammetrie und Fernerkundung (IPF)
Prüfungsdatum 31.05.2022
Schlagwörter smart cities, 3D semantical city models, spatial aware energy data, interoperability, UBEM, IoT, spatial actors, spatial scales, spatial standards, urban energy management, urban planning, city-wide energy chain, spatial awareness
Referent/Betreuer Hinz, Stefan
Breunig, Martin
Agugiaro, Giorgio
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