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H2020. Secure, clean and efficient energy: Big data for buildings

Inicio » EU Calls and Awards » H2020. Secure, clean and efficient energy: Big data for buildings

28 de November de 2019

Big Data can lead to enhanced consumer information, contribute to an effective management of energy grids and support the creation of innovative energy services, new business models and financing schemes for distributed clean energy.

computing ordenador tecnologías

Specific challenge

Collecting and making available reliable data on buildings is a key challenge for the European Union. Enabling big data for buildings is key to achieving the EU targets.

Scope

Actions should focus on developing and demonstrating large-scale pilot test-beds for big data application in buildings.

More specifically actions should:

  • define a reference architecture for buildings data.
  • develop and pilot an open, cloud-based data analytics toolbox.

The reference architecture should ensure compatibility with existing dataset formats across Europe, allow integration with legacy architectures, encourage replication and scale-up and be compliant with applicable EU standards. The data architecture should be modular in order to accommodate data from various sources.

The Commission considers that proposals requesting a contribution from the EU of between 3.5 and 4 million EUR would allow this area to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

Expected Impact

  • Significant and measureable contribution to standardisation of European buildings data;
  • Demonstrated interoperability with data hubs at national or supranational level;
  • Creation of new data-driven business models and opportunities and innovative energy services based on the access and process of valuable datasets;
  • Better availability of big data and big data analysis facilities for real-life scale research, simulation and policy-making;
  • Tangible engagement of key stakeholders in building the database and contributing with real data;
  • A growing up-take of innovative data gathering and processing methods in the monitoring and verification of energy savings;
  • Effective integration of relevant digital technologies in the buildings sector, resulting in integrated value chains and efficient business processes of the participating organizations;
  • Strengthened links with the relevant programmes and initiatives aiming at building data collection and storage, supported by regional, national and European policies and funds;
  • Emergence of sustainable ecosystems around big data platforms.

Deadline

15 January 2020 at 17:00  Brussels time

More information

Call

H2020

Publicaciones relacionadas:

Horizon 2020: innovative solution that will allow tracking all commercial freight trains , covering the whole European network Wanted: Problem Solvers: James Dyson Award 2019 EUREKA: Research, development and innovation projects Turkey – Spain Laboratory research by two male scientists in laboratory using a microscope and laboratory glassware for scientific researchH2020: BBI-RIA: Model the composition of bio-based residual streams and its evolution to optimise its management and processing miniatura de coche estilo "Mini", de color verde, sobre el suelo exteriorHorizon 2020: Horizon Prize – Cleanest Engine of the Future : FutureEnginePrize-01-2016

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Publicaciones relacionadas


Horizon 2020: innovative solution that will allow tracking all commercial freight trains , covering the whole European network


Wanted: Problem Solvers: James Dyson Award 2019


EUREKA: Research, development and innovation projects Turkey – Spain


Laboratory research by two male scientists in laboratory using a microscope and laboratory glassware for scientific researchH2020: BBI-RIA: Model the composition of bio-based residual streams and its evolution to optimise its management and processing


miniatura de coche estilo "Mini", de color verde, sobre el suelo exteriorHorizon 2020: Horizon Prize – Cleanest Engine of the Future : FutureEnginePrize-01-2016

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