Chiudi
In the context of the energy transition toward low-emission systems, characterized by the growing adoption of renewable energy sources and the electrification of transportation, microgrids represent a key solution for managing energy production and consumption locally and flexibly.
The main challenge lies in optimizing complex and variable energy flows—including renewables, storage systems, and electric vehicles—while maximizing self-consumption and reducing dependence on the grid.
To address this complexity, we propose an energy management system based on intelligent algorithms and supported by an IoT platform, capable of coordinating heterogeneous devices in real time and managing advanced scenarios such as V2G and V2V.
The IREM platform, based on a microservices architecture using the framework CMC-IoT, is designed to plan, simulate, and manage energy flows in real time within a microgrid among the nodes of an energy community. In particular, the algorithms developed are geared toward managing loads that can be adjusted and deferred according to demand-response logic, with a focus on smart charging of electric vehicle fleets in parking lots powered by renewable sources.
IREM uses rule-based deterministic algorithms to manage energy flows between vehicles and system components (photovoltaic systems, storage batteries, the grid, and charging stations).
The platform is not based on rigid assumptions about future demand and is therefore robust against operational variations and unforeseen events. The system is supported by a predictive control model that optimizes charging by shifting it to times of peak energy production, continuously analyzing production, availability, and consumption parameters to ensure efficiency and stability. IREM can operate both during the design phase, supporting system sizing, and during the operational phase, efficiently managing energy flows.
Theme:
ICT
Domain
Real-time energy flow management
Specialization area:
Mobility
Specialization area:
Electric vehicle charging
Type of innovation:
incremental, modular
Product type:
software
Emerging technologies
adopted:
IoT; Advanced modeling and simulation; Multi-objective optimization
Stage of technological development:
TRL 5-6
Intellectual property
characteristics:
proprietary code, patent application 10/feb/2025.
Other partners:
No
Alberto Varone
– industrial collaborations
– pilot projects and demonstrators
– technology transfer (licensing)
For information:
valorisation@crs4.it
Last update:
25/03/2026
Centro di Ricerca, Sviluppo e Studi Superiori in Sardegna
