Prädiktive Regelung thermoaktiver Bauteilsysteme unter Berücksichtigung der hydraulischen Topologie

Thermoaktive Bauteilsysteme (TABS) ermöglichen die Einbindung von Umweltwärmequellen und - senken für die Gebäudeheizung und -kühlung, wodurch der Endenergiebedarf gesenkt werden kann. Aufgrund der hohen thermischen Trägheit von TABS ist die Regelung zur Erzielung eines hohen thermischen Komforts erschwert. Die durchgeführten Forschungsarbeiten fokussieren die Entwicklung prädiktiver Regelungen für TABS. Unter Berücksichtigung von drei hydraulischen Topologien zur Anbindung der TABS an die zentrale Wärme- und Kälteerzeugung werden 8 prädiktive Regelungsvarianten untersucht. Auf Basis eines thermo-hydraulischen Simulationsmodells eines Bürogebäudes in Dymola/Modelica werden dynamische Optimierungen der Regelungsvarianten durchgeführt. In einer vergleichenden Analyse der Regelungsvarianten werden der thermische Raumkomfort und der thermische Energieaufwand ausgewertet

Model-based optimization of control strategies for lowexergy space heating systems using an environmental heat source

This paper focuses on the optimization of control strategies with regard to the end energy consumption and the thermal comfort of low-exergy systems for space heating in non-residential buildings. The survey building uses a small-scale heat pump system (2.8 kWtherm) with a floor heating system. Firstly, the thermal as well as the hydraulic system was modeled in Modelica. The control parameters of the applied conventional control strategy were investigated concerning their impact on the end energy consumption and the thermal comfort. For the most sensitive control parameters a model-based optimization was performed to obtain the parameter set that achieves an optimum for the objective criteria

A Fault Detection System Based on two Complementary Methods and Continuous Updates

We propose a system for fault detection, which is continuously updated during the course of application. The system is based on two methods, where the first method is chosen to have high sensitivity and the second method is chosen to have high specificity. Both methods are updated through a continuous feedback, which can be provided by the user of the system. The combination of two complementary methods with feedback allows for the fault detection system to quickly adapt to changes in the boundary conditions of the application and to detect novel faults while keeping the amount of required feedback low. We illustrate the implementation and the performance of the proposed fault detection system with a real-world example using data from building services

Building performance simulation using Modelica: Analysis of the current state and application areas

During the last years, the modeling language Modelica became increasingly used in building performance simulation. Several Modelica libraries for building components and HVAC equipment exist and many research groups use the language. This paper provides an overview about the application of Modelica. This includes modeling on different scales (e.g., urban scale, building envelope, HVAC system) and for different applications (e.g., conceptual building design, building operation). The modeling and simulation process is analyzed with respect to available Modelica libraries, how compatible these libraries are between each other and how they can be extended. Furthermore, Modelica models are analyzed with respect to the common tool chain (e.g., coupling of Modelica–based models with other programs, uncertainty and sensitivity analysis and optimization). Project examples are introduced and practical advise concerning the effective application of Modelica is given

TOPAs, an IoT Driven Framework for Energy Efficiency in Buildings

The energy consumption of buildings lies often far above the performance objectives of the design phase. This is due to several factors among other serious deficits in the energy operation of building services. TOPAs adopts the principle of continuous performance auditing by not only considering energy use but also knowledge and understanding of the buildings use and their climatic state. Thus it provides a holistic performance auditing process through supporting tools and methodologies that try to minimise the gap between predicted and actual energy use. TOPAs offers an open BMS (Building Management System) IoT driven framework. This framework is composed of core services to connect to any BMS and aggregate all the information in an open platform. Add-on services are also available to improve the understanding of buildings and reduce further the gap