Rosenheim University of Applied Sciences is planning a process technology for the CO2-neutral production of semi-finished fiber products from renewable raw materials. The aim is to optimize the production chain for sustainable lightweight construction, whereby gaps to conventional reinforcing fibres are to be closed.
The “BiMeBa” project is developing a band saw blade that enables cost-effective, energy- and resource-efficient wood cutting while delivering high-quality results on various types of wood.
The RO-BERTA project supports the Rosenheim hail defense by processing weather data from the German Weather Service as a "hail navigator" for the pilots.
The Rosenheim Technical University of Applied Sciences is researching the material use of climate-resilient wood and biomass. The focus here is on the processing of new types of wood and waste wood as well as the recycling of the products obtained from them and their recyclability using digital methods and AI.
The energy transition requires structural changes in the energy, industry, building and transportation sectors. Reducing energy demand and using new technologies creates opportunities for cross-sector networking.
When producing vegetable oils or fruit juices with 2-phase decanters, approx. 80-90% of the oil or juice can be extracted in high quality. To significantly reduce the loss, the processes involved in dehydrating the marc, the rheological behavior of the liquid and the powder flow of the pile will be investigated. Simulations of the discrete element method coupled with flow simulation and thus a new screw geometry for improved extraction of the marc.
DECORATOR promotes the transformation of the construction sector towards a circular economy in the Danube region. This combines ecological, technical, social and economic aspects.
The aim of the research project "RoWaPla - Robot-based wall cladding supported by artificial intelligence" is to develop an intelligent, robot-assisted production unit for the cladding of timber frame walls.
The "Helios" energy meteorology project is developing precise PV forecasts using cloud camera data in order to optimize the integration of solar power into electrical grids.