The development of a device that brings together individuals within an energy grid, with the goal of enabling the systems to function as a single unit in the electricity market. This system will be able to respond to market conditions in real-time, optimally providing energy or reducing customer demand as needed.
This Fusion Programme is based in three main pillars, ITER, DEMO and IFMIF-DONES, being this last one the fusion neutron source facility for materials development and qualification.
How to determine the optimal configuration of a wind farm, regarding the mean wind profile of the geographical location.
How to monitor and optimise the whole value chain and life cycle: from battery design to battery recycling? BMS, chemistry, black mass characterization.
How to provide with a layer of intelligence for monitoring OPS (onshore power supply) infrastructure resources? monitorization and forecast of energy production and consumption.
How to accelerate Hydrogen industrial adoption and characterisation? materials design (electrode composition), hydrolysis reaction, surface coating for hydrogen impermeability.
How to allocate a dynamic index to consume/produce optimally based on market forecast.
How to determine the placement of supplementary batteries in smart grids in order to adapt to flexible demand and minimise voltage peaks.
Energy production forecast based on meteorological date. Improve estimation error in order to transform accuracy in revenue. 1% of improvement is translated in 1M€ annual.
Trains can obtain energy from catenary or from onboard batteries. Considering the route to follow, what is the optimal configuration for energy consumption?
Can we rebalance the configuration of machine parameters in order to minimise scrap and improve overall and sustainability functioning KPIs?
Ships can obtain energy from catenary or from onboard batteries. Considering the route to follow, what is the optimal configuration for energy consumption?
Can we simulate the hydrolysis process for 3D Digital Twin integration?
How to manage a swarm of lightweight EVs (electric vehicles) in order to maximise eco-efficiency, vehicle disponibility, and overall resource allocation?