The accelerating convergence of building energy systems and electric mobility is redefining infrastructure as an active component of the clean energy transition. In this context, the FLOW project continues to deliver concrete, scalable solutions that address both systemic efficiency and user-centric challenges. Two recent deliverables clearly illustrate this dual approach: one focused on the transformation of buildings into intelligent energy hubs, and the other on ensuring fair and reliable access to shared EV charging infrastructure.

A deliverable titled “Turning Buildings into Smart Energy Hubs” demonstrates how existing buildings can evolve from passive energy consumers into active, flexible nodes within the energy system. At the Prague demonstration site, a hybrid architecture combining traditional alternating current infrastructure with a highly efficient direct current microgrid enables seamless integration of photovoltaic generation, battery storage, and EV charging systems. By reducing conversion losses inherent to AC/DC transitions, this approach significantly improves overall system efficiency while preparing buildings for increased electrification demands.

A central innovation within this deliverable is the deployment of a predictive Energy Management System acting as a “smart brain.” By forecasting energy demand up to 24 hours in advance, the system optimises consumption patterns, shifting EV charging to off-peak periods and dynamically responding to real-time fluctuations. This not only reduces operational costs but also mitigates stress on the grid. Furthermore, the integration of Vehicle-to-Building functionality allows connected electric vehicles to discharge stored energy back into the building during peak demand or supply constraints, effectively transforming EVs into distributed, mobile energy assets that enhance resilience.

Equally significant is the demonstrated behavioural impact. The provision of reliable workplace charging infrastructure resulted in a marked increase in EV adoption at the site, with uptake rising by approximately 150%. This underscores the importance of accessible and dependable charging in accelerating the transition to electric mobility. In parallel, the implementation of a multi-port charging platform capable of intelligently balancing energy flows between the grid, on-site renewables, and EVs provides evidence that large-scale EV integration can be achieved without overloading local distribution networks.

Complementing this system-level innovation, the second deliverable, “Smart EV Scheduling – Ensuring Fair Access for Daily Commuters” addresses a critical user-side challenge: equitable access to shared charging infrastructure. As EV adoption increases, issues such as charger monopolisation and range anxiety can significantly hinder user confidence and infrastructure efficiency.

Tested at Maynooth University, this deliverable introduces a web-based scheduling platform designed to optimise the use of shared EV supply equipment in high-demand environments. Through a slot-based booking system, users can reserve charging times in advance, ensuring guaranteed access while enforcing fair rotation among participants. This structured approach eliminates uncertainty and prevents inefficient charger occupancy.

The system is further strengthened by a seamless access mechanism based on QR code authentication. Upon arrival, users activate their reserved charging session through a simple scan, ensuring that only authorised individuals can use the charger during their allocated time. This enhances both security and operational control without adding complexity for the user.

In addition, integrated communication features play a key role in improving user experience and coordination. Automated notifications, including booking reminders and interactive “vacate requests,” allow users to manage their sessions dynamically and facilitate voluntary slot exchanges when needed. By combining digital scheduling with real-time communication, the platform promotes cooperative behaviour while maximising infrastructure utilisation.