Record link: 
http://hdl.handle.net/20.500.12708/188023
-
Title: 
IFC-based building renovation scenario generator
en
Citation: 
Fenz, S., Bergmayr, J., & Giannakis, G. (2023). IFC-based building renovation scenario generator. In Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference. 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference, Heraklion, Greece. https://doi.org/10.35490/EC3.2023.170
-
Publisher DOI: 
10.35490/EC3.2023.170
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Fenz, Stefan 
Bergmayr, Julia 
Giannakis, Giorgos 
-
Organisational Unit: 
E194-04 - Forschungsbereich Data Science 
E194 - Institut für Information Systems Engineering 
-
Published in: 
Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference 
-
ISBN: 
978-0-701702-73-1
-
Date (published): 
2023
-
Event name: 
2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference 
en
Event date: 
10-Jul-2023 - 12-Jul-2023
-
Event place: 
Heraklion, Greece
-
Number of Pages: 
7
-
Keywords: 
building renovation planning; BIM; scenario generator; IFC
en
Abstract: 
Increasing the building renovation rate is key to drive energy efficiency in the sector and contribute to the European Green Deal. The RenoDSS building renovation scenario generator, developed within the H2020 project BIMERR, generates IFC files that represent potential renovated building configurations based on: (i) the IFC representation of the current building configuration, (ii) potential renovation measures selected by the user and their defined mapping to IFC elements, and (iii) a rule set on how these renovation measures can be combined and applied on the building. The automated and BIM-based approach enables the efficient generation of renovation scenarios, the calculation of renovation scenario KPIs, and the identification of the most suitable scenarios by comparing the scenarios' KPIs. Validation at two pilots has shown substantial time savings at generating renovation scenarios, calculating their KPIs, and identifying the most suitable renovation scenario for the individual renovation project.
en
Research Areas: 
Digital Transformation in Manufacturing: 50%
Information Systems Engineering: 50%
-
Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
-
Appears in Collections:
Conference Paper

Show full item record

Google ScholarTM

Check