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Verlagsausgabe
DOI: 10.5445/IR/1000080684
Veröffentlicht am 05.03.2018
Originalveröffentlichung
DOI: 10.1186/s40965-018-0042-y

The Energy Application Domain Extension for CityGML: enhancing interoperability for urban energy simulations

Agugiaro, Giorgio; Benner, Joachim; Cipriano, Piergiorgio; Nouvel, Romain

Abstract:
The road towards achievement of the climate protection goals requires, among the rest, a thorough rethinking of the
energy planning tools (and policies) at all levels, from local to global. Nevertheless, it is in the cities where the largest
part of energy is produced and consumed, and therefore it makes sense to focus the attention particularly on the cities
as they yield great potentials in terms of energy consumption reduction and efficiency increase. As a direct
consequence, a comprehensive knowledge of the demand and supply of energy resources, including their spatial
distribution within urban areas, is therefore of utmost importance. Precise, integrated knowledge about 3D urban
space, i.e. all urban (above and underground) features, infrastructures, their functional and semantic characteristics, and
their mutual dependencies and interrelations play a relevant role for advanced simulation and analyses.
As a matter of fact, what in the last years has proven to be an emerging and effective approach is the adoption of
standard-based, integrated semantic 3D virtual city models, which represent an information hub for most o ... mehr


Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 2363-7501
URN: urn:nbn:de:swb:90-806847
KITopen ID: 1000080684
HGF-Programm 36.02.02; LK 01
Erschienen in Open Geospatial Data, Software and Standards
Band 3
Heft 1
Seiten 2
Vorab online veröffentlicht am 05.03.2018
Schlagworte CityGML, Energy, Data modelling, Simulation
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