The Energy and Infrastructure Sphere focuses on energy systems and critical infrastructure, with an emphasis on resilience, efficiency, and secure operations.
Discover related use cases
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
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
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
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
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
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
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
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
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
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
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
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
Optimises cheese production energy sources (grid, solar) based on demand, availability, and price.
Pilot 5: Energetically and environmentally sustainable Halloumi cheese production
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
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
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
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
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
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
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
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
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
Proactive scheduling for appliances like electric water heaters and space heaters, will enhance grid capacity and user comfort using edge computing and robust connectivity.
Pilot 1: Electric Grid performance optimisation upon RES integration
IoT gateways and secure O-CEI utilities empower users to monitor energy use and promote grid flexibility.
Pilot 1: Electric Grid performance optimisation upon RES integration
Synchronising renewable energy for household appliances and EVs ensures comfort and charging availability.
Pilot 1: Electric Grid performance optimisation upon RES integration
Seasonal demand patterns are optimised with renewable integration and decentralised learning models.
Pilot 1: Electric Grid performance optimisation upon RES integration
Sensor data and smart controls dynamically manage heating for energy efficiency using edge computing.
Pilot 1: Electric Grid performance optimisation upon RES integration
Prosumers and flexumers to trade energy to optimise consumption and store excess energy using AI-driven tools.
Pilot 1: Electric Grid performance optimisation upon RES integration
Join our events
One Digital Grid Platform: SCHNEIDER in O-CEI and Beyond
The session will highlight Schneider Electric’s contribution to the O-CEI Smart Port pilot in Malta, where advanced monitoring and actuation capabilities help manage complex energy environments such as maritime terminals connected to the local grid. ...
17 March 2026 15:30–16:30