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Using Digitalization for More Reliable and Less Expensive Building Performance Analysis

: Maurer, C.; Wilson, H.R.; Curcija, D.C.; Kuhn, T.E.

Volltext urn:nbn:de:0011-n-5254984 (2.7 MByte PDF)
MD5 Fingerprint: 49777a0bca9fb0511686c4e09018361e
Erstellt am: 1.2.2019

American Society of Heating, Refrigerating and Air-Conditioning Engineers -ASHRAE-, Atlanta/Ga.; International Building Performance Simulation Association -IBPSA-, USA Regional Affiliate:
Building Performance Analysis Conference and SimBuild 2018 : Chicago, IL September 26-28, 2018
Atlanta, GA: ASHRAE, 2018
Building Performance Analysis Conference <2018, Chicago/Ill.>
SimBuild <2018, Chicago/Ill.>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer ISE ()
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

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.