Research Project
Matrycs - A technology platform for smart buildings
Modular Big Data applications and enabling technologies for holistic energy services in buildings.
Where: international
Where: international
Challenge
The decentralisation of the energy system combined with IoT, Big Data and AI innovations is creating a new impetus for the use of data-driven services to improve the energy efficiency of buildings. Some barriers still hinder this potential, despite the large number of building data hubs and ontologies now available.
Approach
Our project research aims to bridge the lack of interoperability between heterogeneous static models (e.g. Building Information Modelling) and building automation and IoT data sources, as well as the lack of interoperable Big Data architectures fully tailored to smart buildings.
Digital Ecosystem
Solution
Digital Ecosystem
The research project MATRYCS will:
- 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 analytic 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 the Big Data Alliance (BDA) as a data-driven ecosystem for attracting data hubs and SME, enabling thus EU-wide take-up and replication.
The project has received co-funding from the European Union’s Horizon 2020 programme - Grant agreement N. 101000158.
Financing Framework
Results
Facilitating the design, refurbishment and development of building infrastructure
Supporting policy making and policy impact assessment
Reducing risks of energy efficiency investments.
Technologies
Cloud
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Blockchain
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Unchaining (the) business.
Digital Twin
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AI & Data
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Internet Of Things
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From the Internet of Things to the Internet of Me: the key to data connection.
To know more
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