DigiCiti will merge recent advances in collective intelligence and data-driven AI with innovative business and investment management to fully exploit the potential of a digital society. The project will be evaluated in prototype sites and living labs covering a range of solution use cases to prove the ambitious goals for societal, environmental, and financial impact of DigiCiti.

Main Objectives

The overall goal of DigiCiti is to create processes and technology that supports resilient and robust multi-sectorial decarbonisation in the generation, distribution and consumption of thermal energy in a circular energy system. This is broken down into four main objectives.

The edge node objective – creating a framework for autonomous software agents at the consumer side

The cluster node objective – using collective intelligence to create a climate resilient controller ecosystem

The business objective – enabling large scale replication through a multi-step investment business model

The knowledge transfer objective – to develop and implement a knowledge transfer strategy based on the project results

Main Results

The primary impacts of DigiCiti relate to energy efficiency at both building and network level, promotion of green investments, user empowerment and advances in the application of artificial intelligence in energy systems.

• Reduction cost of energy at 9-18 % for residential buildings and 13-27 % for non-residential buildings with 1-3 years in investment payback
• Primary energy savings of 10-25% on network level
• Improved user empowerment and thermal comfort
• Increased climate flexibility and urban area resilience