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VITALITY District - Optimized energy concepts in the early planning phase of resilient, energy-efficient neighbourhoods
The aim of the VITALITY District project is to coordinate the total (electrical and thermal) load and generation profile in the design phase of urban areas and neighbourhoods in order to optimize the energy concept of energy-efficient districts. Hence smart city indicators in detailed level (buildings, individual technologies, public spaces) as well as models, principles and catalogs of criteria for energy-optimized urban neighbourhoods are going to be created. The results are going to be presented in compact form on the district level in order to serve as input for future urban planning projects.
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.
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.