Search results
There are 104 results.
metaTGA - Metadata and process models for open BIM in building service engineering
The objective of this research project is to design a methodology for developing data and process models and to apply them by modelling selected MEP systems. A particular but not exclusive focus is put on the renewable heating technologies, e.g. heat pumps, solar heat and biomass as well as ventilation systems. The data and process models developed in this research project will be scientifically evaluated in two pilot projects. The models, the approaches taken during development and the project team’s experiences with the pilot application of the models will be disseminated openly.
plusenergy-FLAGSHIP: Plus-Energy office building 2.0 - the viadonau headquarters
In the course of this project, various innovations towards a "Plus-Energy Standard 2.0" are to be implemented and combined in an overall concept for the new viadonau headquarters (via donau - Österreichische Wasserstraßen-Gesellschaft m.b.H.).
urban pv+geotherm - Innovative concepts for the supply of large volume buildings/ quarters with PV and geothermal energy
The use of renewable energies in inner city locations is mostly linked to higher costs andconsidered as problematic. The aim of this project was to optimize (cost and energy) heating (and where required, cooling) using geothermic and photovoltaic for an urban, densely-built development area. With the project´s findings it will be easier to ecologically and economically plan the use of renewable energies especially in urban areas.
ÖKO-OPT-QUART - Economically optimized control and operating mode of complex energy networks of future city districts
In the project ÖKO-OPT-QUART energy-based, economic and control-orientated models will be developed in order to simulate the operating mode of complex, sustainable energy networks in city districts. For an exemplary configuration these models will be combined to an overall model which allows a realistic economic comparison of different control strategies. The final goal of the project is the development of a method for the systematic design of cost-optimized, predictive control strategies for complex energy networks in city districts.