ERA-NET project Nr.112068

HydroG(re)EnergY-Env project

The main objective of the HydroG(re)EnergY-Env project is to develop and validate an
efficient hydrogen production technology where hydrogen is generated from renewable
energy sources, such as solar and wind for energy sector. To this end, a specialized
integrated artificial intelligence (AI) control system with a purpose to automatically
manage and optimize the hydrogen production process will be developed. It will be
demonstrated on low, medium and high hydrogen production capacity prototype. Among
other functionality, the proposed AI system, rooted in deep learning, will encompass
optimization of hydrogen production parameters and monitoring of water quality for the
electrolyser used in hydrogen production. In similar projects, the AI models had been
used to optimize storage and injection of hydrogen, but not for automatic management
of its production. Furthermore, the classic optimization solutions are less efficient due to
the fluctuations of power and availability of electricity obtained from the renewable
energy sources. The technology will be calibrated and validated in real-time operation
mode adapted for solar and wind energy production. The successful implementation of
the project will result in increased levels of digitalization in the Green Energy sector,
which is in accordance with European Green Deal policy for CO 2 production neutrality
by 2050.

Participating scientists

    Dr. sc. comp. Kaspars Sudars