Projects
There are 30 results.
ReCon: Development of a resilient hook-and-loop-fastening-system for the adaptable assembly of building components in the building industry
Systemic examination of the hook-and-loop fastener and building component interfaces for the development of a resilient fastening system between parts/components with different functions and lifespan. The desired result serves to verify the fastening system and forms a basis for further research and establishment in the building industry.
SELF²B - self-aware, self-diagnosing buildings, HVAC, and PV systems for the next generation of energy efficient operations
SELF²B develops and demonstrates an AI-based, self-learning, and self-diagnosing fault detection and diagnosis (FDD) solution for HVAC and PV systems in two buildings in Vienna. The innovation surpasses the current state of the art by combining semantic data, ontologies, and machine learning. The goal is to achieve energy savings and efficiency improvements in building operations and to make the technology widely applicable.
TWIN - Digital twins for sustainable buildings
Digital building twins have hardly been used in practice due to an often unfavourable cost-benefit ratio. The aim of the TWIN project is to bring together use cases of digital building twins with a high ecological and economic impact in order to prepare application scenarios with great implementation potential.
Twin2Share - Digital twins for energy optimization in energy communities (ECs)
Digital twins to support energy communities over their life cycle. The project focuses on optimizing energy efficiency and costs, dynamic load management and the integration of users to promote sustainable energy use and the stabilization of the electricity grid.
VR4UrbanDev - Virtual Reality as an innovative, digital tool for the integrative urban development of the future
Virtual reality (VR) has the potential to make complex issues more quickly comprehensible and directly tangible. In the VR4UrbanDev project, we are using this potential for energy planning processes for buildings and urban districts. On the basis of test areas, we develop methods for importing and visualising energy-related real-time data and simulation data in the VR environment.
Vitality City - Holistic energy strategies for cities in transition
Energy simulation of any size city (municipalities) based on the data from laser scanning and satellite analysis (Geodata) to obtain dynamical energy demands and available energy resources.
digiactiv - digital transformation for more interactivity in MEP-(mechanical, electrical and plumbing-)planning
The aim of the digiactiv project is to improve the interoperability between the different stakeholders in the building construction sector using open and neutral semantic data models. With digital transformation processes, digiactiv helps to increase the quality of planning and the operation of buildings, as well as to minimize the interface risk between various stakeholders.
m-hub - a web-based data hub for collection and query of material compositions of the building stock of the City of Vienna
The project creates a web-based platform with which the material composition of buildings within the city of Vienna can be entered and queried. In the background, a prediction model based on artificial intelligence is trained to make forecasts for buildings that have not yet been cataloged.
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.
openBAM - Open Building Automation Modelling - Open modeling of building automation over the entire building life cycle
Platform-independent modeling of control and regulation logic for detailed study of building automation systems involving construction and building technology. The result enables the analysis of energy saving potentials through building automation before construction.