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Flexible Filtering of Heterogeneous Data Using the Example of the Design and Simulation of Building Integrated Photovoltaics

 
: Eisenlohr, J.; Eller, C.; Rüppel, U.; Leifgen, C.; Boudhaim, M.; Maurer, C.; Sprenger, W.; Kuhn, T.E.

:
Fulltext urn:nbn:de:0011-n-5934216 (491 KByte PDF)
MD5 Fingerprint: b26656398f64812206146026e858ef83
Created on: 7.7.2020


Both, P. von ; International Building Performance Simulation Association -IBPSA-:
BauSIM 2018. 7. Deutsch-österreichische IBPSA Konferenz. Tagungsband : 26.-28. September 2018, Karlsruhe, Germany
Karlsruhe: KIT, 2018
pp.44-51
BauSIM Konferenz <7, 2018, Karlsruhe>
English
Conference Paper, Electronic Publication
Fraunhofer ISE ()
Thermische Systeme und Gebäudetechnik; Photovoltaik; Gebäudeenergietechnik; Photovoltaische Module und Kraftwerke; Gebäudehülle

Abstract
According to the Building Information Modeling (BIM) methodology, all participants must be provided with the information relevant to their tasks in the required level of detail at the appropriate time. In the future, the amount of detailed digital information will further increase. Therefore, we propose rule-based filtering beyond the purely class-based extraction of subsets of the overall model. The source of digital information can be a central data model, from digital product data of component manufacturers or generally from the worldwide web. After the rule-based filtering, automatic parsing into the target language takes place. As an application example, we demonstrate this methodology for the simulation of buildingintegrated photovoltaics as an example. According to the Building Information Modeling (BIM) methodology, all participants must be provided with the information relevant to their tasks in the required level of detail at the appropriate time. In the future, the amount of detailed digital information will further increase. Therefore, we propose rule-based filtering beyond the purely class-based extraction of subsets of the overall model. The source of digital information can be a central data model, from digital product data of component manufacturers or generally from the worldwide web. After the rule-based filtering, automatic parsing into the target language takes place. As an application example, we demonstrate this methodology for the simulation of buildingintegrated photovoltaics as an example.

: http://publica.fraunhofer.de/documents/N-593421.html