Projektet har til formål at udnytte potentialet i kunstig intelligens og store sprogmodeller (LLM'er) til at udtrække finansielle Key Performance Indicators (KPI'er) fra transskriptioner af virksomheders Conference Calls. I øjeblikket er denne proces begrænset af regelbaserede systemer, som ikke kan skalere til den store mængde af sproglig variation, der er i disse transskriptioner. Projektet baserer sig på at udvikle innovativ teknologi baseret på LLM'er, med fokus på faktualitet.

The overall goal of the H2-FOAM project is to develop multi-layered asymmetrical nickel foam electrodes with increased surface area towards the membrane and larger pore structures further away from the membrane to facilitate lye, H2, and O2 flowing in three dimensions. This will increase the H2 production efficiency for alkaline electrolysis and at the same time reduce the usage of nickel. The goal is to reduce OPEX by additionally minimum 5% by increasing the H2 formation and reduce CAPEX of the electrodes by minimum 10% (nickel reduction and production processes) for production of green hydrogen using Alkaline Water Electrolysis (AWE). Project results are expected to be implemented in the near future (<2-3 years after termination of the project). The project length is 36 months and will be initiated Q1-2024. The key output of this project will be the ability to fabricate asymmetric nickel foam based on the Mond process utilising nickel CVD carbonyl Ni(CO)4 process capable of fabricating asymmetric nickel foam, i.e. electrodes with smaller pores and higher surface area near the membrane and lager pores further away to facilitate improved flow properties. The H2-FOAM project has immense potential to revolutionise the green H2 and PtX market. Its primary objective is to develop asymmetrical anodes/cathodes that reduce operational expenditures (OPEX) and capital expenditures (CAPEX) for alkaline water electrolysis, while also validating the technology.