An FMI-enabled methodology for modular building performance simulation based on Semantic Web Technologies. (15th November 2017)
- Record Type:
- Journal Article
- Title:
- An FMI-enabled methodology for modular building performance simulation based on Semantic Web Technologies. (15th November 2017)
- Main Title:
- An FMI-enabled methodology for modular building performance simulation based on Semantic Web Technologies
- Authors:
- Mitterhofer, Matthias
Schneider, Georg Ferdinand
Stratbücker, Sebastian
Sedlbauer, Klaus - Abstract:
- Abstract: The concept of modular building performance simulation has been accredited with considerable potential to realize the vision of an integrated building simulation platform for several stakeholders. Current literature identifies missing technological advancement as the key obstacle for its realization. This work presents a methodology that incorporates the Functional Mock-up Interface, Semantic Web Technologies and Building Information Modeling to realize a modular building performance simulation. The approach is based on the specification of Functional Mock-up Units using a formal information model. This allows to set individual simulation modules in context with an overarching data framework in order to identify their role within a building performance simulation. Through the additional association to project-specific information in a digital representation of a building, an algorithm is able to automatically infer the simulation topology of an arbitrary number of contributing simulation modules by means of reasoning. An example demonstrates the feasibility and indicates the technological potential of the approach. Highlights: A methodology for a modular building performance simulation is proposed. It is based on the tool-independent Functional Mock-up Interface (FMI). Using the web ontology language, FMUs can be linked to an overarching data framework. Modules are connected automatically through knowledge-based reasoning. Linking to BIM data complements theAbstract: The concept of modular building performance simulation has been accredited with considerable potential to realize the vision of an integrated building simulation platform for several stakeholders. Current literature identifies missing technological advancement as the key obstacle for its realization. This work presents a methodology that incorporates the Functional Mock-up Interface, Semantic Web Technologies and Building Information Modeling to realize a modular building performance simulation. The approach is based on the specification of Functional Mock-up Units using a formal information model. This allows to set individual simulation modules in context with an overarching data framework in order to identify their role within a building performance simulation. Through the additional association to project-specific information in a digital representation of a building, an algorithm is able to automatically infer the simulation topology of an arbitrary number of contributing simulation modules by means of reasoning. An example demonstrates the feasibility and indicates the technological potential of the approach. Highlights: A methodology for a modular building performance simulation is proposed. It is based on the tool-independent Functional Mock-up Interface (FMI). Using the web ontology language, FMUs can be linked to an overarching data framework. Modules are connected automatically through knowledge-based reasoning. Linking to BIM data complements the generation of the simulation topology. … (more)
- Is Part Of:
- Building and environment. Volume 125(2017)
- Journal:
- Building and environment
- Issue:
- Volume 125(2017)
- Issue Display:
- Volume 125, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 125
- Issue:
- 2017
- Issue Sort Value:
- 2017-0125-2017-0000
- Page Start:
- 49
- Page End:
- 59
- Publication Date:
- 2017-11-15
- Subjects:
- Co-simulation -- Functional Mock-up Interface (FMI) -- Modular simulation -- Building performance simulation -- Building Information Modeling (BIM) -- Ontology
Buildings -- Environmental engineering -- Periodicals
Building -- Research -- Periodicals
Constructions -- Technique de l'environnement -- Périodiques
Electronic journals
696 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03601323 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.buildenv.2017.08.021 ↗
- Languages:
- English
- ISSNs:
- 0360-1323
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2359.355000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5192.xml