Chiudi

GENESIS

MASE Ministero dell Ambiente e della Sicurezza Energetica

Inizio:

31/10/2025

Fine:

31/12/2026

Green Energy Network Ecosystem towards Secure Interoperable System

The GENESIS project – Green Energy Network Ecosystem towards Secure Interoperable System – falls within the scope of the mission “Green Powered Future” (GPFM) of Mission Innovation 2.0, specifically within the strategic area of “Data and Network Digitalisation”. GENESIS addresses the theme of “Interoperable digital platforms”, with the aim of developing an interoperable digital platform for the advanced monitoring of power transmission and distribution networks and renewable energy generation facilities, enabling the integrated, efficient and flexible management of Renewable Energy Communities (RECs).
Specifically, the project plans to conduct a field trial in a pilot area, where innovative digital solutions will be implemented to optimise the operation of RECs, promote the aggregation of distributed resources and demonstrate the benefits for the stability and quality of the electricity grid. The approach is based on an advanced network architecture that integrates cutting-edge connectivity technologies (fibre optics, 5G, edge computing, QKD) to ensure low latency, secure data transmission and system resilience.
CRS4 is responsible for the development of QKD technology, and optimisation for energy balancing using quantum or hybrid solvers.
Moreover, CRS4 develops the backend of the modular platform—the infrastructure that unifies and manages data in a simple, secure, and immediate manner. The system collects information from various sources, translates it into a common language in accordance with European standards, and transmits it in real time to the components of the rest of the infrastructure. Specific interfaces enable the control of load management functions, providing optimizers with secure, unified access to the workbench for generating and evaluating simulations and “what-if” scenarios. The data immediately becomes useful and accessible, both to power the algorithms that optimize energy consumption and to offer citizens simple tools for exploring it.