A co-creation approach with pilot sites helped define user needs, use cases, and system requirements, resulting in foundational outputs on interoperability, software architecture, and data security.
A blockchain-based framework was implemented to certify real-time data monitoring and ensure integrity within the Data Lake. Data audits and inventories were conducted, followed by the deployment of ETL processes and data quality methodologies to convert raw inputs into reliable datasets.
For static data, information requirements were defined and the DigiBUILD ontology was used to build knowledge graphs for unified querying. A Data Warehouse was deployed to collect pilot data, synchronized with dynamic repositories via sensor-IDs. Advanced techniques for handling large data volumes—such as timescale databases and indexing—were integrated.
Use cases and Data Marts were created to enable intelligent querying, allowing service developers to access data through a single, harmonized interface. Major achievements include:
• A federated Data Lake integrating diverse sources and protocols;
• Ontology-based data structuring;
• Knowledge generation from static data to support services;
• Assured interoperability (northbound via querying, southbound via ETLs);
• High data quality for dependable services;
• Reduced data sharing and computational load via Data Marts.
The project delivered web tools, 11 API services, and one policy recommendation, covering areas such as energy profiling, resource management, comfort and well-being, renovation and financing, and climate resilience.
The Digital Twin Suite was completed and tested, fully integrating data and AI services. A secure, cloud-based DigiBUILD toolbox was deployed, offering scalable and replicable solutions aligned with privacy and security standards.
Finally, a comprehensive Measurement and Verification (M&V) plan was developed to validate services in real-life pilot environments. Key performance indicators (KPIs) were defined for each pilot to assess service effectiveness.
DigiBUILD validated services in real-life pilots, improving data interoperability, energy profiling, and forecasting. Large-scale deployment led to better energy efficiency, comfort, CO2 reduction, and cost savings. Dissemination efforts ensured visibility, while impact assessments confirmed high user satisfaction and measurable benefits. Strategic collaborations and innovation management boosted future exploitation and replication.
