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2018
Conference Paper
Title
Using Digitalization for More Reliable and Less Expensive Building Performance Analysis
Abstract
This paper analyses the current state of simulations and proposes ways to reduce the costs and to increase the reliability of building performance analysis. Functions in machine-code can be used to generate automatically simulation models for numerous simulation environments. Simulations models are proposed which adapt their accuracy and can therefore be used from very early up to late stages of the planning process. BIM based on semantic technologies can provide more flexibility and make it easier to find the right components. A semantic international product data base is planned to make it easier for practitioners to identify most suitable product.
File(s)
Rights
Use according to copyright law
Language
English
Keyword(s)
Thermische Systeme
Gebäudetechnik
Adaptive Simulation Models
semantic Building Information Modeling (sBIM)
Digitization
Building Performance Simulation (BPS)
Machine-Code Functions
Photovoltaik
Solarthermie
Gebäudeenergietechnik
Photovoltaische Module
photovoltaische Kraftwerke
Thermische Kollektoren
thermische Komponenten
Gebäudehülle
Wärmeversorgung
Kälteversorgung
Betriebsführung
Gesamtenergiekonzept