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.

Building Performance Simulation (BPS) is a key element in the design of energy efficient buildings, and there is increasing interest in using the Modelica modelling language for BPS. The IEA-EBC coordinates development of BPS in Modelica in the project "Computational Tools for Building and Community Energy Systems" (Annex 60). However, developing BPS models and collecting required input data are time-consuming and error-prone processes. Reusing existing Building Information Models (BIM) as basis for Building Performance Simulation (BPS) has the potential to make BPS model development and subsequent simulation easier, faster and more reliable. Activity 1.3 of the Annex 60 project is working on an open-source toolchain that can semi-automatically generate code for BPS Modelica models from a BIM data source. Parts of that toolchain are discussed in this paper.

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.

This contribution describes an approach for a template based code generation for different detailed Modelica models for building energy simulation (BES). The information from several data sources, which describe the building geometry, the building construction, the building location and the building itself, is used to fill a building data model. This intermediate data structure is still independent of a certain building simulation tool. A new developed tool for template based code generation (CoTeTo) uses the building data model and combines it with a set of different code generators, which are able to generate Modelica building models with a different level of detail: Strong simplified loworder building models for district energy simulation with a large population of buildings, more advanced multi-zone building models for building energy simulation and 3D space resolved room models for a detailed indoor climate analysis. Three case studies for the mentioned building model types demonstrate the code generation approach.

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