The GUARDIANE-Q work plan is structured into five coordinated technical activities aimed at progressively researching and validating an advanced protection architecture for critical underground hydrogen storage infrastructures.
These activities range from risk analysis and experimental monitoring to the development of intelligent supervision platforms, resilient communications, and post-quantum cybersecurity solutions. Together, they enable the design of a system capable of early detection of physical, environmental, and digital threats, activating intelligent response protocols and contributing to the energy and technological resilience of the future energy system.
Each activity combines applied research, integration of emerging technologies, and experimental validation in representative environments, with the aim of generating transferable technological knowledge for future industrial applications.
The GUARDIANE-Q work plan is structured into five coordinated technical activities that allow for the progressive research and validation of an advanced protection architecture for critical underground hydrogen storage infrastructures.
Together, they enable the design of a system capable of early detection of physical, environmental, and digital threats, activating intelligent response protocols and contributing to the energy and technological resilience of the future energy system.
Each activity combines applied research, integration of emerging technologies, and experimental validation in representative environments, with the aim of generating transferable technological knowledge for future industrial applications.
Overview
An integrated system for energy resilience
Together, these capabilities enable the design of a system capable of anticipating physical, environmental, and digital threats, activating intelligent responses, and reinforcing energy and technological resilience. All of this is supported by an approach that combines applied research, the integration of emerging technologies, and experimental validation, aimed at generating transferable knowledge for future industrial applications.
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