Modular Big Data Applications for Holistic Energy Services in Buildings

Objective

The decentralization of the energy system coupled with advancements on IoT, big data, AI and distributed computing are creating a new momentum for exploiting data-driven services to improve buildings energy efficiency. Despite a large number of buildings data hubs and vocabularies have become available, some barriers hamper the exploitation of that potential, such as the lack of interoperability among heterogeneous static (e.g.BIM), building automation and IoT dynamic data sources and ontologies, and the lack of interoperable big data architectures fully tailored to smart buildings. In that respect MATRYCS will i) deliver an open Reference Architecture for Smart Energy Efficient Buildings, which aligns BDVA SRIA, FIWARE architecture, SAREF, HAYSTACK, and BRICK schema vocabularies (among the many others), and enable B2B sovereignty preserving multi-party data exchange, while providing full interoperability of big data enablers with smart buildings standards and addressing privacy and cyber-security constraints ii) upscale a number of TRL 5-6 technology enablers, such as sovereignty-preserving DLT/off-chain data governance, big data pipeline orchestration, IoT/edge AI-based federated learning and visual analytics and deploy them within the TRL 7-8 MATRYCS workbench iii) deliver a TRL8 open modular big data cloud analytic toolbox as front-end for one-stop-shop analytics services development iv) validate such framework through the deployment of analytics services focusing on digital building twins, improved buildings operation, building infrastructure design, EU/national policy assessment for energy efficiency investments on 11 large scale pilots by different stakeholders (facility managers, ESCOs, financial institutions, construction companies, municipalities, electricity grid and DH operators, policy makers) v) setup the BDA Alliance as a vibrant data-driven ecosystem for attracting new data hubs and SME service providers, enabling thus EU-wise take-up and replication

Field of science

• /natural sciences/computer and information sciences/data science/data exchange
• /engineering and technology/environmental engineering/energy and fuels/renewable energy
• /social sciences/sociology/governance/public services
• /natural sciences/computer and information sciences/data science/big data
• /engineering and technology/environmental engineering/waste management/energy efficiency

Programme(s)

• H2020-EU.3.3.1. - Reducing energy consumption and carbon foorpint by smart and sustainable use

Topic(s)

• LC-SC3-B4E-6-2020 - Big data for buildings

Call for proposal

H2020-LC-SC3-EE-2020-1
See other projects for this call

Funding Scheme

Coordinator

Participants (17)