Projects
There are 185 results.
mAIntenance - Investigation of AI supported maintenance and energy management
Optimized & reliable operation of Heating, Ventilation and Air Conditioning (HVAC) systems in terms of maintenance and energy management, using predictive, data-based & self-learning error detection. Conceptual design and prototype implementation of an AI (Artificial Intelligence) tool for automated data analysis and recommendations for technical building operators.
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.
vilFIT – Villach Fit 4 Urban Mission
In this project, measures, strategies and the necessary capacity building for achieving climate neutrality in the city of Villach will be advanced. The focus is on social and structural innovations (participation processes, development of pilot initiatives, public relations, etc.) as well as the definition of networks and structures or controlling and monitoring instruments.
ÖKO-OPT-AKTIV - Optimised control and operating behaviour of thermally activated buildings in future urban districts
Development and simulation of scalable, distributed control strategies for the use of the storage effect of thermally activated components in buildings of future city districts for their energy supply by an energy centre.
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.