A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A methodology for a scalable building performance simulation based on modular components
This thesis presents a methodology incorporating the concept of modularity to realize a scalable building performance simulation. It builds upon the Functional Mock-up Interface for tool-independent co-simulation of Functional Mock-up Units (FMUs). Semantic Web Technologies are deployed to describe FMUs with machine-readable, semantic information. In addition to a generalized description pattern, the association to project-specific data via Building Information Modeling ensures the required context for semantic interpretation of FMUs. The resulting ontology is the basis for a reasoning process aimed at detecting connections between the simulation modules. By combining ontology, per definition a knowledge representation, with queries inferring new triples when executed, the approach is a knowledge-based approach. The methodology allows for automated derivation of a simulation network across several Levels of Detail. As such, a single-zone, a multi-zone and a zonal airflow representation of a building are integrated. With the former models being able to compute performance regarding energy usage, the latter provides a detailed assessment of the resulting indoor climate.
A methodology for a scalable building performance simulation based on modular components
This thesis presents a methodology incorporating the concept of modularity to realize a scalable building performance simulation. It builds upon the Functional Mock-up Interface for tool-independent co-simulation of Functional Mock-up Units (FMUs). Semantic Web Technologies are deployed to describe FMUs with machine-readable, semantic information. In addition to a generalized description pattern, the association to project-specific data via Building Information Modeling ensures the required context for semantic interpretation of FMUs. The resulting ontology is the basis for a reasoning process aimed at detecting connections between the simulation modules. By combining ontology, per definition a knowledge representation, with queries inferring new triples when executed, the approach is a knowledge-based approach. The methodology allows for automated derivation of a simulation network across several Levels of Detail. As such, a single-zone, a multi-zone and a zonal airflow representation of a building are integrated. With the former models being able to compute performance regarding energy usage, the latter provides a detailed assessment of the resulting indoor climate.
A methodology for a scalable building performance simulation based on modular components
Mitterhofer, Matthias (author) / Winter, Stefan / Sedlbauer, Klaus / Auer, T. / Bednar, T. / Leistner, Philip / Mehra, Schew-Ram
2018-01-01
Fraunhofer IBP
Theses
Electronic Resource
English
functional mock-up interface , Architekt , Building Information Modeling , Lichtplaner , building construction & material , programming & scripting language: general , TGA-Planer , Bauphysiker , energy technology and engineering , Ontology , semantic web technology , building performance simulation , Elektroingenieur
DDC:
690
A Methodology for a Scalable Building Performance Simulation based on Modular Components
| UB Braunschweig | 2017
A methodology for a scalable building performance simulation based on modular components
| Fraunhofer Publica | 2018