The technology, developed by CNR-ICB, is based on an innovative bioprocess called "Caphnophilic (CO2-requiring) Lactic Fermentation (CLF)”, developed in the hyperthermophilic bacterium Thermotoga neapolitana (EP patent: EP2948556B1), which allows the production of "green" hydrogen and capture and valorization of CO2 in L -lactic acid (98% e.e.).
Technologies
In this section it is possible to view, also through targeted research, the technologies inserted in the PROMO-TT Database. For further information on the technologies and to contact the CNR Research Teams who developed them, it is necessary to contact the Project Manager (see the references at the bottom of each record card).
Displaying results 1 - 5 of 5
The compact-GC platform is a MEMS-based analytical module for the purge&trap pre-concentration and (gas)-chromatographic separation of a sample. The two analytical MEMS (pre-concentrator and GC column) are interconnected by means of a MEMS microfluidic manifold. The microfluidic manifold interconnects the analytical MEMS, but it also acts as injector through the integrated micro-valves.
Coupled Stirling Engine/Fluidized Bed Combustor for micro-Distributed energy production from Biomass
A distributed micro-cogeneration system has been developed for continuous and programmable autonomous production of thermal (between 25 and 70 kWth) and electrical (between 5 and 10 kWel) energy starting from heterogeneous biomasses.
AIS aim is a robotized inclinometer measurement in standard inclinometer boreholes. The deep measurements have multiple applications, including: evaluating the rate of deep-seated ground deformation in landslide areas, evaluating the volume of deep-seated landslides and assessing landslide hazards. The AIS is composed by an electronic control manager, an inclinometer probe and an electric motor equipped with a high precision encoder for handling and continuous control of the probe in the borehole.
An interoperable and modular Digital Geospatial Ecosystem (DGE) is proposed, designed, implemented and tested in order to: collect in real time, manage and share geographic data; make usable tools and functionalities to support actions to prevent, monitor and mitigate impacts from extreme events as well as to prepare for and respond to emergency situations. The DGE is composed of the following modules: