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AI and Digital Twins for Hydrogen (H2) Production Plants

Our expertise is to help the companies to develop Digital Twins Technology for Hydrogen (H2) production power plants since H2 is emerging as a sustainable carbon-free energy source and as such its use is attracting growing interest as a key enabler to achieve the objective of the reduction of CO2 emissions.

Digital-twin technology is offering a concrete opportunity to build a virtual model of the complete dynamics of the assets of a production facility, including its process equipment. During the last years, Applied Artificial Intelligence has been widely adopted in production lines, for monitoring and predictive control. Companies from various sectors worldwide are already adopting smart and intelligent technologies that allow them to automate, and improve processes efficiency, also from the point of view of energy consumption. The developments in Artificial Intelligence for Digital Twin are quite promising as they can be effectively utilized to integrate the Internet of Things (IoT), automation, and environmental and safety mitigation measures. Various Artificial Intelligence/Machine Learning models and algorithms can add to boost the degree of automation, control, reliability, and safety.

We can provide the answers and information you need within the following: 

  • Digital Model of the various systems or systems of systems of H2 plants
  • Modeling interaction between the digital twin of individual systems of H2 Plants
  • Prototyping approach is proposed to address the company issue of H2 Plant
  • Develop the AI-Enabled Predictive Maintenance Digital Twins for System of System 

Targets area related to Digital Twins for H2

  • Artificial Intelligence
  • Machine Learning
  • Digital Twins
  • Hydrogen (H2) Energy
  • Dynamics Models
  • Data-Driven Models
  • Digital Models
  • Predictive Maintenance
  • Green Energy

Contact person

Madhav Mishra

Senior Scientist

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Sara Skärhem

Contact person

Sara Skärhem

Senior Projektledare

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