New generation of intelligent Efficient District Cooling Systems
The main object of INDIGO is the development of a more efficient, intelligent, and cheaper generation of District Cooling system by improving system planning, control, and management involving all components and levels of a DC system. The project includes the integration of predictive controllers at component level with self-learning algorithms for accuracy improvement.
The project aims to ensure an efficient math between supply and demand of energy through real-time management of thermal energy at building level, then scaled up to district level for District Heating and Cooling (DHC) connected buildings. The target efficiency is set by the energy consumption reduction, for the residential buildings, at 30%.