IRENE is one of the four projects selected by the University of Florence as a successful example of research joint funding, and today Prof. Bondavalli presented it during an information day organized by UniFI.

RCL hosted the 5th face-to-face meeting of the project IRENE (now at month 19/30), which involved attendees from all the partners of the consortium. In particular, the meeting was directed to discuss the novel architectures and the modeling tool that are being developed within WP3 and WP4 of the project.

During the meeting, RCL promoted the discussion about the integration of the tools that are being developed in the context of the project (modeling, threat analysis, load prediction), aiming to find the best way to connect them. In addition, a presentation about model-based evaluation of the IRENE methods and framework was shown, to support and complement the analysis including evaluations related to dependability and security assessment. These evaluations will be conducted using techniques such as extensions of SAN (Stochastic Activity Networks).

For some of the participants this was the first time in Firenze. Consequently the session of the 26th April ended in a dinner in one of the most famous restaurants of the city centre. Moreover, a brief Firenze-by-night tour was performed before coming back to the hotels.

Involvment type: participant
Project website: http://ireneproject.eu/
Project contract: Jpi Urban Europe, n°847342
Start date: 01-10-2014
End date: 31-03-2017

Project IRENE is researching how best to mitigate vulnerabilities of urban electricity grids by utilizing the flexibility of future smart grids with decentralized generation and smart control. The aim is to ensure availability of power supply for critical infrastructures to enable minimal viable operation during large scale power outages or shortages.

To achieve this we are investigating what social, economic and technical components will be needed to ensure that city based power generation and storage are routed and prioritized to enable these critical city functions while other noncritical consumers reduce their electricity load.