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CARTIF Projects

MATRYCS

Buildings Data exchange, management and real-time processing

Description

The overall vision and main objectives of MATRYCS is to define and deploy a Reference Architecture for Buildings Data exchange, management and real-time processing, and to translate this reference architecture into an Open, Cloud-based Data Analytics Toolbox (MATRYCS Modular Toolbox). It will enable AI-based cross-sector analytics for smart energy-efficient buildings, based on seamless data-information-knowledge exchange under respective sovereignty and regulatory principles.

Overall, the technical solution follows the MATRYCS Reference Architecture and it consists of three main pillars:

i) MATRYCS-GOVERNANCE encompassing modules related to data collection, semantic annotation and distributed storage

ii) MATRYCS-PROCESSING including ML and Dl models

iii) MATRYCS-ANALYTICS providing a set of analytics tools as a service

These three pillar will be validated in a series of 11 large scale pilots, focusing on digital building twins, improved buidings operation, building infrastructure design, EU/national policy assessment and energy efficiency investments. Additionally, a BDA Alliance will be set up as a vibrnat data-driven ecosystem for attracting new data hubs and SME service providers, enabling thus EU-wide take-up and replication.  

 

Objectives

  • To develop a semantic and business interoperability framework for cross domain analytics applications, cross-context learning and datasets spanning entire buildings value chains.
  • To deliver a TRL 7 data governance technology enabler which will facilitate seamless cross-stakeholder data sharing, trusted data exchange and handling, allowing full data sovereignty and control.
  • To adapt, evolve, upscale and deploy TRL7 technology enabler for a set of trained, high-quality ML and DL models by exploiting existing dataset formats across Europe.
  • To upscale and deploy the MATRYCS open, cloud-based data analytics toolbox along different deployment modes (IaaS, SaaS, PaaS).
  • To demonstrate the applicability, effectiveness and value of MATRYCS solutions through real-life applications.
  • To lay the foundation of pan European Smart buildings trusted and certificable data vibrant ecosystem, boosting EU-scale data economy and valorisation and impact on standarisation. 

Actions

  • To deliver an open reference architecture for Smart energy efficient buildings.
  • To upscale a number of TRL5-6 technology enablers (big data pipeline orchestration, IoT/Edge AI federated learning and visual analytics)
  • To deliver a TRL8 open modular big data clud analytic toolbox.
  • To validate such framework of analytic services in 11 large scale pilots with different stakeholders, focusing on energy performance, design, funding and policy implementation and assessment.
  • To set up the Big Data Alliance as a vibrant data-driven ecosystem for attracting new data hubs and SME service providers, enabling thus EU-wise take-up and replication. 

Expected Results

  • MATRYCS data governance (Gobierno de datos de MATRYCS)
  • MATRYCS processing (Procesamiento MATRYCS)
  • MATRYCS analytics (Analíticas de MATRYCS)
  • Tecnologías/subcomponentes individuales de MATRYCS (p. ej., semántica, aprendizaje automático, conectores de cadena de bloques/API, etc.).
  • Integración y homogeneización de datos para el contexto del sector energético
  • Buenas prácticas – aplicaciones – servicios
  • La plataforma MATRYCS en su conjunto

Partners

Video

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H2020

H2020-LC-SC3-B4E-6-2020-Big data for buildings

Total Budget: 4,577,835€

CARTIF Budget: 493,250€

Duration: 01/10/2020 – 30/09/2023

Responsible

Gema Hernández Moral

Division de Energias

Networking

Energy Efficiency projects:

SIRCULAR

SIRCULAR

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SMARTeeSTORY

SMARTeeSTORY

SMARTeeSTORY will create an integrated intelligent building automation and control system to monitor and optimise the energy performance of historic non-residential buildings, according to an innovative multi-domain approach (integrating the 9 domains proposed by the ISR methodology).

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FoSSIS3

FoSSIS3

FoSSIS3 objective is to develop an operational Platform based on artificial intelligence to support decision-making in the energy planning process, through the characterization and estimation of the solar resources, and the development of analytics that support the strategy to improve the energy behavior of the building sector.

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PROBONO

PROBONO

PROBONO brings together a European multidisciplinary consortium of 47 partners, to turn the six European districts into Green Building Neighbourhoods, with positive energy balance and zero carbon emissions: two large-scale demonstrators and four living labs representing business/owner promoters of the green buildings and neighbourhoods transition.

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frESCO

frESCO

frESCO aims to engage with ESCOs and aggregators and enable the deployment of innovative business models on the basis of novel integrated energy service bundles that properly combine and remunerate local flexibility for optimizing local energy performance both in the form of energy efficiency and demand side management.

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Auto-DAN

Auto-DAN

The Auto-DAN project aims to enable homes and small businesses across the EU to optimize their energy consumption and provide and assessment of the live energy performance of a building. The solution will focus on the assistive role automation will have in buildings.

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SO WHAT

SO WHAT

SO WHAT project aims to develop and validate an integrated software for auditing industrial process, planning and simulation of waste heat and cold (WH/C) valorisation systems towards the identification of economically viable scenarios where WH/C and renewable energy sources (RES) cooperate to match local demand.

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