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Stadt der Zukunft

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.

Klimaneutrale Stadt

Topview - Methodology for the efficient use of remote sensing data for climate change adaptation and spatial energy planning

Development of integrated approaches to sustainable energy and heat planning in urban areas by utilising remote sensing data and geo-information-based technologies for decision-making in the planning of energy infrastructures and climate adaptation measures.

Klimaneutrale Stadt

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.

Stadt der Zukunft

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.

Klimaneutrale Stadt

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.

Stadt der Zukunft

baubehoerde.at - Development of a Vision 2030 for a Digital Building Authority and Recommendations for Action in Austria

In Austria, planning permission applications are submitted and managed largely manually. The aims of the baubehoerde.at project are to evaluate the potential and limitations of digitizing building approval processes and to create a Vision 2030 strategy for a digital building authority.

Stadt der Zukunft

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.

Klimaneutrale Stadt

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.

Stadt der Zukunft

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.

Stadt der Zukunft

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.