Gorzalka, Philip und Garbasevschi, Oana Mihaela und Schmiedt, Jacob und Droin, Ariane und Linkiewicz, Magdalena Monika und Wurm, Michael und Hoffschmidt, Bernhard (2021) Collecting Data for Urban Building Energy Modelling by Remote Sensing and Machine Learning. In: 17th IBPSA Conference on Building Simulation, BS 2021, Seiten 1139-1146. nternational Building Performance Simulation Association. Building Simulations 2021, 2021-09-01 - 2021-09-03, Brügge, Belgien. doi: 10.26868/25222708.2021.30184. ISBN 978-1-7750520-2-9. ISSN 2522-2708.
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Kurzfassung
High-quality data on the investigated area is crucial for modelling urban building energy demands, but its availability is often insufficient. We present an approach to acquire (i) building geometries, (ii) their ages, and (iii) their retrofit states. It consists of creating a 3D model from aerial imagery, determining building ages through machine learning, generating a simulation model based on open-source tools, and assessing retrofit states by comparing simulated temperatures with infrared thermography (IRT) measurements. The demonstration on a case study quarter in Berlin shows that heat demand results are comparable to other tools. Using machine learning is already wellsuited to close knowledge gaps regarding building ages. However, retrofit state assessment using IRT was unsatisfactory due to insufficient measurement accuracy and is envisaged for improvement in future research, along with a validation of the approach.
elib-URL des Eintrags: | https://elib.dlr.de/144798/ | ||||||||||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||||||
Titel: | Collecting Data for Urban Building Energy Modelling by Remote Sensing and Machine Learning | ||||||||||||||||||||||||||||||||
Autoren: |
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Datum: | 2021 | ||||||||||||||||||||||||||||||||
Erschienen in: | 17th IBPSA Conference on Building Simulation, BS 2021 | ||||||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||||||
DOI: | 10.26868/25222708.2021.30184 | ||||||||||||||||||||||||||||||||
Seitenbereich: | Seiten 1139-1146 | ||||||||||||||||||||||||||||||||
Herausgeber: |
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Verlag: | nternational Building Performance Simulation Association | ||||||||||||||||||||||||||||||||
ISSN: | 2522-2708 | ||||||||||||||||||||||||||||||||
ISBN: | 978-1-7750520-2-9 | ||||||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||||||
Stichwörter: | Building Modeling, remote sensing, machine learning | ||||||||||||||||||||||||||||||||
Veranstaltungstitel: | Building Simulations 2021 | ||||||||||||||||||||||||||||||||
Veranstaltungsort: | Brügge, Belgien | ||||||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 1 September 2021 | ||||||||||||||||||||||||||||||||
Veranstaltungsende: | 3 September 2021 | ||||||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Fernerkundung u. Geoforschung, E - Condition Monitoring | ||||||||||||||||||||||||||||||||
Standort: | Jülich , Oberpfaffenhofen | ||||||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Solarforschung > Qualifizierung Deutsches Fernerkundungsdatenzentrum > Georisiken und zivile Sicherheit | ||||||||||||||||||||||||||||||||
Hinterlegt von: | Wurm, Michael | ||||||||||||||||||||||||||||||||
Hinterlegt am: | 25 Okt 2021 10:13 | ||||||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:44 |
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