Am Lehrstuhl für Versorgungsplanung und Versorgungstechnik der UdK Berlin wird die Modelica‐Modellbibliothek “BuildingSystems“ zur objektorientierten Modellierung und Simulation komplexer energietechnischer Gebäudesysteme entwickelt. Die Modelle der Bibliothek decken ein breites Spektrum aus den Bereichen Raum und Gebäude, solare Energietechnik (Solarthermie, Photovoltaik) sowie Heizungs‐ und Klimatechnik ab und werden um weitere Spezialmodelle zum Erzeugen geeigneter Klima‐ und Nutzer‐Randbedingungen ergänzt. Ein besonderes Merkmal der Bibliothek besteht darin, dass eine Reihe der Modelle in unterschiedlicher räumlicher oder physikalischer Detaillierungstiefe vorliegen. So lässt sich mit der Modellbibliothek ein Nahwärmenetz mit einer Reihe stark vereinfachter Gebäudeverbraucher‐Modelle, aber auch ein detailliertes hydraulisches Netz einer Heizungsanlage zusammen mit einem detaillierten Mehrzonen‐Gebäudemodell abbilden. Im vorliegenden Beitrag werden die grundlegenden Eigenschaften der Modelica‐Bibliothek “BuildingSystems“ beschrieben und an Hand mehrerer Anwendungsbeispiele demonstriert.The Modelica library BuildingSystems for object‐oriented modelling and simulation of complex energetic building systems. The Modelica library “BuildingSystems” for object‐oriented modelling and simulation of complex energetic building systems is being developed by the chair of building services technology at UdK Berlin. The models of the library cover a broad spectrum of the domains such as room and building, solar energy technologies (solar thermal energy, photovoltaics), HVAC and are completed with specialized models for the generation of boundary conditions of the user behavior and climate data. A special feature is the fact that several models are present in different levels of detail in space and in the physical meaning. For example, a model of a district heating net‐work combined with a set of strong simplified building models or a detailed hydraulic net of a heating system combined with a detailed multi‐zone building model can be reflected by the model library. The paper describes the most important features of the Modelica library “BuildingSystems” and demonstrates them by the use of several applications.

This paper presents an integrated method for the simulation of mixed 1D / 3D system models in the domain of building energy supply systems. The feasibility of this approach is demonstrated by the use case of a solar thermal system: the sub-model of a hot water storage is modeled as a detailed threedimensional CFD model, but the rest of the system model (solar collector, hydraulics, heat exchanger, controller etc.) is modeled as a simplified component-based DAE model. For this purpose, the hot water storage model is simulated with ANSYS CFD. This detailed sub-model is embedded in the solar thermal system model, which consists of component models of the Modelica library FluidFlow and is simulated with Dymola. The numerical coupling and integration of both sub-models is realized by the use of the co-simulation environment TISC. With a comparison of a pure Modelica system model and a mixed 1D / 3D system model of the same solar thermal system, advantages and disadvantages of both simulation approaches are worked out.

The new Modelica library FluidFlow is being developed for the thermo-hydraulic simulation of complex energy supply systems. This library includes standard hydraulic model classes and specialized components for HVAC-systems and solar thermal systems. Most of these Modelica classes are modelled with equations of the 1D-transient energy transport. The validation of the library takes place both by measuring values from test stations and by comparing with detailed CFD models. A first complex use case of the library represents the simulations-based design of a complex thermal energy supply system of a residential area, as a part of a newly built city in Iran.

is an open-source solution for the efficient interpolating access to external data sets. The library of C-functions can be used with different applications and works well with Modelica. Data sets can be easily accessed as continuous functions using different interpolation and extrapolation methods. The application range covers reading generated or measured data, the integration of simulation results from Modelica or other systems and the validation, parametrization and optimization of models using external data. Data sources may be local files or remote servers. Using the netCDF file format [2], the DAP network protocol [3] and different optimization approaches the data access can be surprisingly fast, even for large remote files with many variables containing millions of values.

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