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.

Dettagli sul prodotto

• Autori: Matthias Mitterhofer
• Con la collaborazione di: Stuttgart Fraunhofer IBP (Editore), Philip Leistner (Editore), Schew-Ram Mehra (Editore), Klaus Peter Sedlbauer (Editore)
• Editore: Fraunhofer Verlag
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.01.2018
• EAN: 9783839613184
• ISBN: 978-3-8396-1318-4
• Pagine: 190
• Illustrazioni: num., mostly col. illus. and tab.
• Serie: Forschungsergebnisse aus der Bauphysik
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tecnica edile e ambientale