Rolf Born's scientific contributions
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Publications (5)
How to consider user aspects in the assessment of energy upgrades of residential buildings – The findings of the study in a nutshell
Aim of the study is to consider user aspects in the assessment of residential buildings before and after energy upgrades. This includes a realistic estimate of the possible energy savings with the aim to strengthen t...
Typology of residential buildings in Germany. Exemplary measures to improve the energy performance, demonstrated by use of showcase buildings
During the national activities of the Intelligent Energy Europe project TABULA previous approaches of typology based building stock energy assessment in Germany have been revised, systematically improved and transformed considering the common TABULA typology structure.
One result is a scheme for the classification of the German residential building...
Gemäß EU-Richtlinie 2002/91/EG über die „Gesamtenergieeffizienz von Gebäuden“ müssen innerhalb
weniger Jahre für einen großen Teil des deutschen Wohngebäudebestands Energieausweise
ausgestellt werden. Ziel des Projekts „Kurzverfahren Energieprofil“ war die Herleitung von
Vereinfachungen für die Datenaufnahme.
Das im Rahmen des Projekts entwickelte...
Citations
... Multi-family buildings account for approximately 41% of the living space in Germany [27] and, therefore, have a large potential for energy savings and flexibility in energy supply. With 19% (225 million m 2 ) of the total living space of multi-family buildings in Germany (1168 million m 2 ), the building age category E of the IWU building typology of Germany [27] is the largest category for multi-family buildings. ...
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... Das Gebäude wird durch ein Systemmodell 2 mit acht Ein-und Ausgängen beschrieben, das aufgrund von Vereinfachungen (basierend auf dem Kurzverfahren Energieprofil des Instituts Wohnen und Umwelt (IWU) (Loga et al. 2005)) und der integrierten Kühlungsmöglichkeit ausgewählt wurde (siehe Abb. 5.5). ...
Reference: Analyse von Haustechnikkomponenten
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... We grouped the 980 individual labels into 20 functional classes including: residential, residential annexes, retail and services, health care, schools, agriculture, office buildings, factory, and industrial. In the absence of a universally accepted ontology of building functions, we followed the classifications referenced by the TABULA residential energy project (Loga, Diefenbach, Stein, & Born, 2012). The process of recording building function in the official data is unfortunately not consistent in all federal states, which led to missing or potentially inaccurate labels. ...
... Hierzu bestehen jedoch empirische Erkenntnisdefizite, die u.a. in der schlechten Datenlage begründet sind. So fehlt es an umfassendem Wissen zum Energienutzungsverhalten von privaten Haushalten, das zugleich Informationen zur energetischen Gebäudequalität und möglichen Einflussfaktoren enthält (z.B. Loga et al., 2019). Weiterhin führen die voraussetzungsvollen Herausforderungen einer entsprechenden Datenerfassung dazu, dass ein wünschenswertes Längsschnittdesign für größere Stichproben kaum praktikabel ist (Hacke & Renz, 2022). ...
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... Im Rahmen des Forschungsvorhabens wurde ein Simulationsmodell entwickelt, mit dem sich das zeitliche Zusammenspiel des Energieangebots aus fluktuierender Solar-und Windenergie mit der Energienachfrage im Wohngebäudesektor analysieren lässt. Die Grundlagen des Modells sind im Projektzwischenbericht detailliert beschrieben [Diefenbach et al. 2017], Modellerweiterungen und Änderungen im Hinblick auf den vorliegenden Endbericht sind in Anhang B dokumentiert. Im Folgenden wird ein kurzer Überblick über das Modell gegeben. ...
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