Suchergebnisse
The Green Parking Space – Utilization of urban parking areas for production of biomass
Many traffic areas in urban environments are actually used as such only a small fraction of the time. Subject of this project was to investigate the possibility of using those areas by additional integration of photobioreactors for the production of biomass, integrating such systems to the maximum extent into the urban substance and energy cycles.
EnerPHit-green concept Modernisation of a historic building with application of an aerogel insulation plaster
This demonstration project shows the comprehensive modernization of a historic building within the constraints of a regional protection zone. By using the Aerogel high-performance insulating plaster, a comprehensive energy-efficient building refurbishment had been realized without changing the outer appearance of the façade.
SPACE4free - Retrofitting souterrain areas in 19th century townhouses to apartments with high quality of life and low energy consumption
Planning of durable and damage-free apartments with high quality of life and low energy consumption in moisture exposed souterrain areas of 19th century townhouses. Using innovative ventilation control systems comfortable room climate will be created. Additionally the tolerance of different types of use is ensured. A planning tool enables the scaling of the findings and thus the applicability to various planning situations.
CoolAIR - Prädiktiv geregelte passive Gebäudekühlung mittels natürlicher Nachtlüftung und tageslichtoptimierter Verschattung
Natürliche Nachtlüftung und tageslichtoptimierte Verschattung haben v.a. in ihrer Kombination ein hohes Potential Gebäude energieeffizient zu kühlen, werden aktuell jedoch meist nur manuell gesteuert und damit nicht optimal genutzt. Ziel ist die Entwicklung einer automatisierten und selbstlernenden Lösung, die dieses Kühlpotential voll ausgeschöpft und so eine Alternative zu Klimageräten bietet.
CoolAIR - Predictive control of natural nighttime ventilation and daylight-optimized shading for passive building cooling
Natural nighttime ventilation and daylight-optimized shadowing are high potential approaches to efficiently and economical cool buildings. Nevertheless, the full potential cannot be acquired, since, if at all, such behavior is manually initiated by users. Goal of this project is the development of an automated, self-learning system that can assess the full cooling capabilities and establish an alternative to conventional air conditioning systems.