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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.
scaleFLEX - Scalable method for optimizing the energy flexibility of districts
Development of a decentrally organized automation method for improving the demand-side flexibility options of buildings and districts. The utilized data-driven algorithm promise high scalability and therefore low installation and operating costs. The developed method will be validated using different building types (high-tech office buildings, low-tech office buildings, residential buildings).
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.
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.