Periodic Reporting for period 2 - DATA CELLAR (Data hub for the Creation of Energy communities at Local Level and to Advance Research on them)
Reporting period: 2023-06-01 to 2024-11-30
- A Digital Twin for data-driven energy modeling.
- A comprehensive Decision Support System (DSS) for LEC planning and management, assisting energy utilities, DSOs, and technology providers in scenario evaluation.
- Environmental and economic assessment tools to enable real-time LCA (Life Cycle Assessment) and LCC (Life Cycle Costing) analysis for energy-related services.
- A data analytics and visualization platform to support energy analysts in designing data pipelines, leveraging machine learning and deep learning models.
- Additionally, DATA CELLAR will provide a decentralized, open marketplace for energy datasets and pre-trained AI models, fostering data monetization and exchange to support LECs.
A crucial element of the project is the Validation Case campaign, which will not only populate the data space but also test and refine the platform, AI services, Digital Twin, and DSS tools, ensuring they are robust, user-centric, and aligned with market needs.
Finally, DATA CELLAR is designed to be fully compliant and interoperable with major European initiatives, including Gaia-X and other sister projects, ensuring integration and scalability across the EU energy ecosystem.
WP3: The Common Data Model was refined for semantic interoperability (Gaia-X, IDSA), data acquisition and ingestion mechanisms were implemented (real-time/historical data, GDPR-compliant), and anonymization/aggregation modules ensured secure processing.
WP4: The ICT architecture was developed, the Common Data Environment (CDE) and federated catalogue are in progress, and SSI and Verifiable Credentials were implemented for secure authentication. The DATA CELLAR Connector, built on Eclipse Dataspace Connector (EDC), was integrated with the Identity Management system, enabling trusted decentralized data transactions.
WP5: AI/ML models were deployed for LECs, covering energy demand forecasting, PV production, anomaly detection, and flexibility estimation (beta version). NILM models were enhanced for household energy consumption disaggregation, explainability techniques were introduced, and Digital Twin & DSS tools were developed (beta versions).
WP6: The DATA CELLAR decentralized marketplace was designed, and discussions on governance rules were initiated.
WP7: The Validation Case campaign launched, involving 9 pilot sites in testing AI services, Digital Twin, DSS, and marketplace functionalities, with real-world energy data analysis ensuring regulatory alignment.
Interoperability & Data Federation: DATA CELLAR actively engaged in EU-wide initiatives (Omega-X, EDDIE, Enershare, SYNERGIES, INT:NET, BRIDGE). Federated data-sharing protocols were established for seamless external data exchange. SSI and Verifiable Credentials strengthened security, ensuring controlled access, data integrity, and transparency.
The next phase will fine-tune platform functionalities, expand real-world validation, and ensure full-scale deployment across EU energy ecosystems.
The Digital Twin tool and Decision Support System (DSS) have provided data-driven insights into LEC development, supporting optimal RES sizing, flexibility assessment, and environmental impact analysis. These tools empower energy communities, municipalities, and DSOs by offering a structured approach to investment planning and grid optimization. Furthermore, the blockchain-based data marketplace introduces a fair token economy, allowing data providers to monetize their contributions while ensuring data sovereignty and privacy compliance. The marketplace’s integration with distributed ledger technologies enhances transparency, fostering trust among participants and enabling the development of sustainable, decentralized business models in the energy sector.