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fit4power2heat
The integration of heat pumps can increase the cost effectiveness of existing heating networks and counter the high costs for the expansion of power grids at the same time. Aim of the project is to develop innovative business models for small and medium municipal heating networks with focus on synergies between heat and power market. Main focus is a heat pump pooling for several heat grids.
greening UP! Sustainable green maintenance, maintenance, maintenance of vertical greenery including legal aspects
Based on extensive surveys and analyses of existing vertical building greenery in outdoor areas (floor and system-bound façade greening) and vertical interior greenery, the project developed tailor-made green care, maintenance and repair concepts and addresses legal aspects. The "greening UP!" Knowledge pool with concrete recommendations and clearly presented findings as well as the conception of a digital tool for the "First Green Aid" complete the project.
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.
see-it - Camera based, user centric daylight control system for optimized working conditions
In the project technologies in the field of building construction and building automation are being researched for quality and performance improvements in the workplace. The aim is to individualize the control of sun protection to the people who need to be protected from glare and overheating and hope to see through.
smart façade - energy potential of adaptive façade systems
A specially developed simulation model is employed to ascertain the energetic potential of adaptive façade systems. The dynamic behavior of the physical properties of the adaptive façade system reacts to both internal and external changing conditions. The goal was the development of an adaptive façade, which helps provide maximum comfort for the building occupants with minimum energy consumption.
solSPONGEhigh - High solar fraction by thermally activated components in an urban environment
Within this project the intensive use of thermally activated building elements (TABs) as an additional thermal storage in different buildings, with solar technologies (thermal, PV) preferred for energy supply, was investigated. The aim was to activate and use the thermal storage potential that is immanent in the building elements and thereby achieve solar coverage of the building's heat demand of nearly 100 %.
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.