Cities currently account for over 70% of global CO₂ emissions and face significant limitations in traditional monitoring approaches, which rely on retrospective data and periodic reporting. These limitations hinder timely and effective decision-making, creating a gap between policy implementation and impact assessment—one of the key challenges tackled by this project.

This solution integrates real-time data from multiple sources (including IoT sensors, municipal databases, and environmental datasets) with advanced predictive analytics and scenario simulation capabilities. By modelling complex urban systems such as energy, mobility, and environment, the Digital Twin enables policymakers to test public policies before implementation and optimise decarbonisation strategies in alignment with Climate City Contracts.

Within this framework, CCG/ZGDV plays a key role in the technological development of the project. It is responsible for designing the Digital Twin architecture, ensuring scalability, interoperability, and seamless integration of heterogeneous data sources. Additionally, CCG leads the development of the semantic layer, which guarantees consistent knowledge representation and system interoperability, as well as the simulation module, enabling scenario-based analysis of decarbonisation pathways and supporting evidence-based decision-making.

Furthermore, it aims to establish a replicable model at the European level, strengthening the position of Portuguese cities as leaders in digital and sustainable climate governance.