TY - JOUR
T1 - An FMI-enabled methodology for modular building performance simulation based on Semantic Web Technologies
AU - Mitterhofer, Matthias
AU - Schneider, Georg Ferdinand
AU - Stratbücker, Sebastian
AU - Sedlbauer, Klaus
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/11/15
Y1 - 2017/11/15
N2 - 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.
AB - 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.
KW - Building Information Modeling (BIM)
KW - Building performance simulation
KW - Co-simulation
KW - Functional Mock-up Interface (FMI)
KW - Modular simulation
KW - Ontology
UR - http://www.scopus.com/inward/record.url?scp=85028534123&partnerID=8YFLogxK
U2 - 10.1016/j.buildenv.2017.08.021
DO - 10.1016/j.buildenv.2017.08.021
M3 - Article
AN - SCOPUS:85028534123
SN - 0360-1323
VL - 125
SP - 49
EP - 59
JO - Building and Environment
JF - Building and Environment
ER -