The established building design process is a very conservative one. New technologies and energy efficient systems are hardly adopted since there are few reference buildings out there. Risk minimization, cost pressure and the complexity of the design process therefore leads to a poor innovation cycle and oldfashioned, inefficient buildings. We present a design flow that overcomes this hurdle by means of simulation. A decision support tool uses facts and figures from simulation to ease the process of selecting the right system. Furthermore we present the software architecture of the implemented design flow that is already in use by construction industry. The project was initiated and actively supported by STRABAG AG, a construction and consulting company based in Austria operating in international markets.
Innovative Regelungen in Gebäuden können beachtliche Energieeinsparungen zur Folge haben. Besonderes Augenmerk ist hierbei auf Gebäude gelegt, die in einem gesteigerten Maße von ihrer Umwelt thermisch entkoppelt sind: dazu wird ein nach Passivhausstandard gebautes, real existierendes Bürogebäude modelliert, das Modell mit Monitoring‐Daten validiert und simuliert. Anhand der Simulationen mit der Simulationsumgebung TRNSYS und der Hinzunahme von gemessenen Wetterdaten werden mögliche Energieeinsparpotentiale erkannt und ausgewertet. In dieser Betrachtung, die den Zeitraum eines kompletten Jahres (Zeitraum 2009/2010) beinhaltet, liegt der Fokus auf Energieeinsparungen, die durch intelligentes Heizen und Kühlen des Gebäudes erzielt werden können.Potential for saving energy in a Passivhaus building, taking into account weather forecasts. Innovative controls in buildings can lead to remarkable energy savings. The main focus of this paper is on buildings that are highly thermally insulated from their environment: the model is based on an existing building that was built to Passivhaus standard, and then validated with monitoring data and simulated. By adding actual, measured weather data in the simulations (which were done in the TRNSYS simulation environment) potential energy savings are identified and evaluated. In this analysis, which covers a full year (2009/2010), we concentrate on energy savings in the building’s heating and cooling systems.
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