Entwicklung eines komponentenbasierten Frameworks zur Bewertung heiz- und raumlufttechnischer Anlagen

In this thesis a component-based framework for the evaluation of HVAC performance in buildings is developed. Following the method of the demand development HVAC systems are evaluated by means of their energy effort during planing and maintenance. The evaluation is achieved through: determining the energy requirement and energy requirement's impacting factors using a building simulation determining the effort, which an HVAC system requires in order to meet the demand, using an HVAC system simulation continuos comparison of the measured states of both building and HVAC system with simulated values using a coupled building and HVAC system simulation. Characteristic for the component-based framework is an architecture which separates the component data model form the calculation components. In the centre of this work is the development and the implementation of the component data model from a building service's point of view. The main focus lays in dealing with building services's questions and embedding the building and HVAC system simulations into the processes of planing and maintenance. The design of the data model is based on the latest version of the building information exchange model developed by the International Alliance for Interoperability (IAI). The data model extends this model with definitions of HVAC equipment and systems. In accordance with IAI guidelines the data model is used for the exchange of information among components. More important however, the data model serves for a uniform description of buildings and installations over all phases of the lifecycle. For this purpose it is extendable and has an information content large enough for an efficient information usage throughout the building's life. The component-based framework enables assembling of different calculation components into applications. The calculation components are required to support the OLE DB interface and to exchange building and installation data using the data model. The calculation components deliver their results as time series. The abstract data type of time series relieves the management of the calculation results and allows their direct comparison with measured data. The component data model and the calculation components are integrated into applications that use a scripting language.