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Continuous Simulation for Urban Energy Planning Based on a Non-Linear Data-Driven Modelling Approach

Koch, Ernst Andreas

Abstract: The thesis develops the argument for scale sensitive local energy planning, combining energy demand simulation with the development of continuous benchmarks. A non-linear data driven modelling approach is selected to represent space heating needs for urban areas. The model is applied to the scale of buildings, building clusters and neighbourhoods and compared to measured data in order to test its scalability. The results confirm the applicability of the approach to the scale of neighbourhoods.

Zugehörige Institution(en) am KIT Fachgebiet Bauphysik und Technischer Ausbau (fbta)
Publikationstyp Hochschulschrift
Jahr 2016
Sprache Englisch
Identifikator DOI(KIT): 10.5445/IR/1000059639
URN: urn:nbn:de:swb:90-596398
KITopen ID: 1000059639
Verlag Karlsruhe
Umfang 170 S.
Abschlussart Dissertation
Fakultät Fakultät für Architektur (ARCH)
Institut Fachgebiet Bauphysik und Technischer Ausbau (fbta)
Prüfungsdaten 09.06.2016
Referent/Betreuer Prof. A. Wagner
Schlagworte Urban Energy Planning, Neighbourhood, Regression Model, Energy Signature, Continuous Simulation, Data-Driven Modelling
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