Papers by Christoph Nytsch-Geusen:

Title: Investigation of the Influence of Controller Approaches on Room Thermal Behaviour A Simulation Study
Authors: Kristin Majetta, Christoph Clauss and Christoph Nytsch-Geusen
Abstract:To control the room temperature normally special developed and adapted controllers are used. This development is both time-consuming and expensive. Therefore, this paper shows the first steps to achieve the goal of developing a methodology to provide rules and guidelines for typical use cases of those controllers with regard to given rooms and their installed HVAC technology. Thereby it should be possible to choose suitable controllers for a wide range of rooms without the necessity of an expensive development process. To achieve this goal a simulation study will be performed. This paper presents first steps of this investigation. This includes the choice development of four different, representative room models as well as five controller models of important controller types. Simulations of well defined scenarios analyze the eligibility of the controller models regarding net energy consumption and comfort. First optimization results to improve the quality of the controllers are shown and further steps are explained.
Links: Full paper

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Title: Template based code generation of Modelica building energy simulation models
Authors: Christoph Nytsch-Geusen, Alexander Inderfurth, Werner Kaul, Katharina Mucha, Jörg Rädler, Matthis Thorade and Carles Ribas Tugores
Abstract: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 low-order 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.
Links: Full paper