Irmler, Robert ; Eller, Christian ; Rüppel, Uwe (2016)
A Next Generation Platform for Building Energy Modeling Based on Smart Metering Data, Point Cloud Scans, GIS and Building Typology.
23rd EG-ICE International Workshop. Kraków, Poland (29.06.2016-01.07.2016)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
About 28% of German total final energy consumption is caused solely by the residential sector. In order to reduce this amount, energy simulations can give insights into how retrofits and modifications can influence a buildings energy performance. Due to the complexity of such simulations and their underlying models this is a task which is usually performed by experts. To make residential energy simulations accessible to a wider audience this paper proposes a concept for developing a holistic building simulation model based on a minimum of user inputs. The concept bases on the combination of different information sources like geodetic data sets, building and material typologies and indoor point cloud scans. In addition, smart metering data is used to adjust archetypal assumptions. This paper gives an overview of the different parts of the proposed framework and discusses first results.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Irmler, Robert ; Eller, Christian ; Rüppel, Uwe |
| Art des Eintrags: | Bibliographie |
| Titel: | A Next Generation Platform for Building Energy Modeling Based on Smart Metering Data, Point Cloud Scans, GIS and Building Typology |
| Sprache: | Englisch |
| Publikationsjahr: | 29 Juni 2016 |
| Buchtitel: | Proceedings of the 23rd International Workshop of the European Group for Intelligent Computing in Engineering |
| Veranstaltungstitel: | 23rd EG-ICE International Workshop |
| Veranstaltungsort: | Kraków, Poland |
| Veranstaltungsdatum: | 29.06.2016-01.07.2016 |
| Kurzbeschreibung (Abstract): | About 28% of German total final energy consumption is caused solely by the residential sector. In order to reduce this amount, energy simulations can give insights into how retrofits and modifications can influence a buildings energy performance. Due to the complexity of such simulations and their underlying models this is a task which is usually performed by experts. To make residential energy simulations accessible to a wider audience this paper proposes a concept for developing a holistic building simulation model based on a minimum of user inputs. The concept bases on the combination of different information sources like geodetic data sets, building and material typologies and indoor point cloud scans. In addition, smart metering data is used to adjust archetypal assumptions. This paper gives an overview of the different parts of the proposed framework and discusses first results. |
| Freie Schlagworte: | Automated Model Generation, Building Energy Modeling, Building Typology, Calibration, Smart Metering |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Numerische Methoden und Informatik im Bauwesen |
| Hinterlegungsdatum: | 29 Aug 2016 10:45 |
| Letzte Änderung: | 04 Jan 2021 14:06 |
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