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Why ViPES2X?

The EU’s goal of climate-neutrality by 2050 calls for an increasing amount of renewable energy sources, leading to an increasing need for smart control of flexible energy systems like batteries and electrolysers.

The recent adoption of the Danish P2X strategy will drive an aggressive roll-out of electrolyser technologies and other chemical processes needed to supply green eFuels. System operators will benefit greatly from these technologies making their flexibility available to the grid, while asset investors will benefit from the additional revenue streams unlocked by supplying the system flexibility to the grid system operators.

As the complexity of the energy system grows, so does the need to operate them efficiently in the grid to keep CO2 emissions and energy costs as low as possible.


What is ViPES2X?


This project will develop a fully AI-driven Virtual Power Plant (VPP) for operating Energy Storage and Power-to-X (P2X) systems for intelligent energy trading, reduced energy costs, and minimal CO2 emissions. The self-improving algorithms in the VPP will be able to forecast in real time the cost of operations (energy costs, losses, and degradation) and compare it with income (energy import savings and revenue from balancing markets) for energy storage and P2X systems. The virtual power plant will use innovative AI optimization algorithms based on high resolution power production forecasting.

Among our objectives in ViPES2X are to enable:
•    A 15% cost reduction for hydrogen production.
•    A 15-20% increase in battery lifetime.
•    A 45% reduction in the degradation of batteries.
•    A 13% reduction of CO2 emissions for individual sites. 

Period: 2023-2025

Fund: Det Energiteknologiske Udviklings- og Demonstrationsprogram (EUDP)

Call: Application round 2022-II


  • DTU Energy

  • DTU Wind Energy and Energy Systems

  • Imperial College London

  • Lhyfe

  • Siemens Gamesa Renewable Energy A/S

Read our project report:

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