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  4. Using Digitalization for More Reliable and Less Expensive Building Performance Analysis
 
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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.
Author(s)
Maurer, Christoph  
Wilson, Helen Rose  
Curcija, D.C.
Kuhn, Tilmann  
Mainwork
Building Performance Analysis Conference and SimBuild 2018  
Conference
Building Performance Analysis Conference 2018  
SimBuild 2018  
File(s)
Download (2.75 MB)
Rights
Use according to copyright law
DOI
10.24406/publica-fhg-403606
Language
English
Fraunhofer-Institut für Solare Energiesysteme ISE  
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

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