Smart Energy & Utilities
Approach & Solution
![Matrycs 480x480.jpg](https://www.eng.it/resources/cases/CS_IMP_case_10-06-2021_Matrycs_it_1623315288279/Matrycs 480x480.jpg)
Approach
Some barriers still hamper this potential, despite the large number of buildings data hubs and ontologies that are now available.
Some of these barriers are related to the lack of interoperability among heterogeneous static models (e.g. Building Information Modeling) and building automation and IoT data sources, and the lack of interoperable Big Data architectures fully tailored to smart buildings.
![EU_logo.png](https://www.eng.it/resources/cases/altro/eu_logo.png)
Solution
- deliver an open Reference Architecture for Smart Energy Efficient Buildings
- deploy a number of technology enablers, such as sovereignty-preserving DLT/off-chain data governance and visual analytics into the Matrycs platform
- deliver an open modular big data cloud analytics toolbox as front-end for data analytics services development
- validate this framework through the deployment of analytics services on 11 large scale pilots involving a wide range of stakeholders like ESCO, financial institutions, construction companies, policy makers
- setup of the Big Data Alliance (BDA) as a data-driven ecosystem for attracting data hubs and SMEs, enabling EU-wide adoption and replication.
Results
Improving buildings energy performance through predictive capabilities
Facilitating the design, refurbishment and development of building infrastructure
Supporting policy making and policy impact assessment
Reducing risks of energy efficiency investments
Project value
Innovation
Process performance
Cost cutting
Enabling Technologies
Blockchain
IoT
Cloud
Digital Twin
AI & Advanced Analytics
Project Team
Research & Innovation