MATCH-IT

Optimization of demand response in smart energy systems, Principal Investigator, ERA-NET project, 2018-2021 (1 M€). We propose an interdisciplinary framework to develop a reliable, efficient, sustainable, and socially acceptable electricity grid with distributed generation and storage of energy. We develop control algorithms and an Information and Communication Technology (ICT) platform coupled with automation to optimize matching of demand and supply that are acceptable to users in buildings. We examine which type of automation, and which financial and social incentives are acceptable and effective to promote demand-supply matching among users. The control algorithms combine the physics and communication constraints of the electricity grid with user incentives. The platform interfaces users with the grid, thereby considering their needs, indoor information, congestion, prices and control signals, to coordinate the energy consumption of buildings. We first evaluate our framework in living-lab settings, and then implement it in the Power Matching City, a futuristic field lab in the Netherlands.

Carlo Fischione
Carlo Fischione
Professor