Energieeinsparpotential eines Passivhauses unter Berücksichtigung von Wetterprognosen

Abstract

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.

Demand response with functional buildings using simplified process models

“…"Intelligence" in this context means that the building is equipped with an advanced building automation system (BAS) that • influences energy-relevant equipment and settings like HVAC or windows, • senses energy-relevant information like occupancy, weather, or usage, and that • contains advanced control algorithms that go beyond plain PID (proportional, integral and derivative control function). Such an advanced BAS can use weather forecasts, learn usage profiles or reschedule the operations of building systems in order to meet smart grid requirements (see [2] and [3]). One key ingredient for operating in such a smart way is to know the dynamic behavior of the building.…”