Energy and infrastructure resilience

The Energy and Infrastructure Sphere focuses on energy systems and critical infrastructure, with an emphasis on resilience, efficiency, and secure operations.

The sphere will be officially launched on 16 April, followed by a dedicated in-person workshop on 7 May titled “Empowering Energy Infrastructure: The Role of 5G/6G and Edge Intelligence.” The workshop will offer a valuable opportunity to engage with key stakeholders across the energy, IoT, and next-generation networks domains, exchange insights, and contribute to shaping the future of smart energy systems.

Discover related use cases

Al-Driven Green Energy Vineyard Management

The use of 5G or WIFI (provided by the 5G modems deployed) IoT sensors or cameras can be deployed in some vineyards for Agricultural experiments.

Cluster 4: Smart Vineyards & Sustainable Winery Ecosystems

Predictive Maintenance and Monitoring of Anaerobic Digestion in a Biogas Plant

To enhance the reliability of electricity grids, the efficient operation of anaerobic digestion processes in biogas plants is critical.

Cluster 3E: Edge Intelligence for Enhancing Grid Reliability in RES-Rich Distribution Grids

Ensuring Uninterruptible Power Supply for Fast EV Chargers

As EV adoption increases, fast-charging stations become essential for meeting mobility demands.

Cluster 3E: Edge Intelligence for Enhancing Grid Reliability in RES-Rich Distribution Grids

Harvesting in Real-Time Flexibility from Active Electricity Distribution Grids

This use case involves developing a cloud-edge platform for real-time flexibility harvesting.

Cluster 3E: Edge Intelligence for Enhancing Grid Reliability in RES-Rich Distribution Grids

Tourism scenario

This use case is related to touristic resorts. It enables hotels, restaurants and ski resorts to optimise their energy consumption.

Pilot 8: Heightened social engagement and acceptability of energy flexibility in urban areas

Optimising Charging Costs of EVs

This use case focuses on charging stations for electric vehicles (EVs). It enables EV owners to optimise vehicle charging through smart contracts, and new business models.

Pilot 8: Heightened social engagement and acceptability of energy flexibility in urban areas

Flexibility application for DSOs and LECs

Deals with flexibility applications that enable DSOs to ensure Grid stability and LECs to optimise their consumption costs and minimise their dependence on DSOs.

Pilot 8: Heightened social engagement and acceptability of energy flexibility in urban areas

Increasing trustworthiness and security in EV charging data exchange

This use case incorporates security measures, data sovereignty, and auditing to ensure trustworthy data flows from sensors and EVs.

Pilot 7: Trustworthy and secure EV charging upon reliable 5G networks

Edge optimisation of power flow to EV needs

Transforms chargers into “intelligent” bidirectional elements, optimising grid power flow through O-CEI micro-services data management, and 5G’s low-latency, ensuring efficient load balancing and reduced environmental impact.

Pilot 7: Trustworthy and secure EV charging upon reliable 5G networks

Autonomous tractor re-charging strategy

The tractors in this pilot will optimise battery charging through edge analytics and AI predictions, either autonomously or via a farmer-controlled app, minimising battery use, extending lifespan, and reducing costs for improved sustainability.

Pilot 6: Smart re-charging and efficiency of robot tractors in large fruit production fields

Real-time energy consumption aid for agricultural decision

The O-CEI platform will offer tools to be integrated in the Zetrack app and provide farmers with energy optimization suggestions, managing fleet, climate, and location data.

Pilot 6: Smart re-charging and efficiency of robot tractors in large fruit production fields

Calculation of energy footprint of dairy (halloumi) products

Aggregates energy consumption data across the farm-production chain, to calculate batch-level energy and environmental footprint.

Pilot 5: Energetically and environmentally sustainable Halloumi cheese production

Intelligent selection of energy mix of dairy production

Optimises cheese production energy sources (grid, solar) based on demand, availability, and price.

Pilot 5: Energetically and environmentally sustainable Halloumi cheese production

Controlled sharing of data from various stables to the dairy production factory

O-CEI mechanisms and marketplace will securely share trusted farm data such as milk quality, feed mix, and energy footprint, using AI to forecast parameters, optimise energy consumption, and improve production practices with secure data management.

Pilot 5: Energetically and environmentally sustainable Halloumi cheese production

IoT-Assisted Livestock Management based on Edge Intelligence and automation

Optimises energy use in livestock stables while reducing animal heat stress, using IoT sensors for environmental monitoring, livestock behaviour assessment, and HVAC control.

Pilot 5: Energetically and environmentally sustainable Halloumi cheese production

Home Consumers

This scenario replaces home electricity meters with an O-CEI orchestrated control system, managing device priorities for critical services and appliances through secure data governance and pub/sub-models of the project.

Pilot 4: Variable demand in challenging maritime terminal landscape

Terminal Energy Management

This scenario integrates terminal asset energy data with O-CEI orchestration, coordinating peak power demands from Container Handling Equipment (CHE), and refers to avoid unnecessary peaks, with individual control systems.

Pilot 4: Variable demand in challenging maritime terminal landscape

Vessel Energy Management

The O-CEI platform will integrate energy flows from berthed vessels, using decentralised monitoring, IoT, and cybersecurity utilities to minimise blackouts and optimise energy control.

Pilot 4: Variable demand in challenging maritime terminal landscape

Smart and Innovative Energy Management Systems

This scenario evaluates mobile energy storage systems, such as delivery vans, to support grid peak shaving and reactive power management.

Pilot 3: Energy consumption and emission reductions in postal service fleet operation

Vehicles as Mobile Energy Storage Units

Optimises EVs as mobile storage units, utilising O-CEI for intelligent charging, discharging, and fleet route planning, enhancing fleet resilience and battery autonomy.

Pilot 3: Energy consumption and emission reductions in postal service fleet operation

VaS for Grid Optimisation

Uses V2G, smart grids, and AI to optimise energy use, schedule charging during off-peak hours, utilise dynamic pricing, and grid balancing for sustainable vehicle interactions.

Pilot 2: Software Defined Vehicle for VaS in Urban Areas

VaS for Fleet V2G Integration

Uses AI to optimise EV charging and energy return via Vehicle-to-Grid (V2G) capabilities, with edge and cloud software supporting fleet-wide data analysis and operations.

Pilot 2: Software Defined Vehicle for VaS in Urban Areas

Advanced Load Scheduling

Proactive scheduling for appliances like electric water heaters and space heaters, will enhance grid capacity and user comfort using edge computing and robust connectivity.