The Mobility, Logistics and the Software-Defined Vehicle Sphere covers transport, logistics, and connected mobility ecosystems, including software-defined vehicles.
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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
Smart JIT logistics leverage AI algorithms and real-time IoT data for route optimisation and advanced tracking.
Cluster 3A: AgriTech Transformation and Sustainability Initiative (ATSI)
The Port of Valencia will serve as a testbed for managing maritime and terrestrial traffic.
Cluster 2: Smart Sustainable IoT Solutions in Valencia
At the UPV campus, IoT devices will monitor energy consumption, water usage, waste management, and environmental conditions, among other parameters, in real time.
Cluster 2: Smart Sustainable IoT Solutions in Valencia
Real-time monitoring of key urban areas in Valencia and the Almussafes Industrial Park will be achieved using sensors, radars, cameras, and other IoT devices.
Cluster 2: Smart Sustainable IoT Solutions in Valencia
The O-CEI AI-block will optimise agricultural tasks in kiwi plantations, using state-of-the-art models for efficient operations and route planning, with real-time data storage and semi-autonomic management.
Pilot 6: Smart re-charging and efficiency of robot tractors in large fruit production fields
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
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
This use case analyses the power infrastructure, the control and communication infrastructure, and the various communication protocols.
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
It leverages AI utilities from the O-CEI marketplace to optimise EV powertrain efficiency, minimise carbon footprints.
Pilot 2: Software Defined Vehicle for VaS in Urban Areas
Enhances vehicle safety with AI-driven system monitoring, OTA updates, advanced cybersecurity, and real-time technologies
Pilot 2: Software Defined Vehicle for VaS in Urban Areas