Advanced data-driven monitoring of building stock energy performance

19/10/21
1000000 €
ExpectedOutcome:

Project results are expected to contribute to all of the following expected outcomes:

  • More robust, improved and consistent monitoring of performance (energy and other relevant aspects, such as indoor environment quality and life cycle) of buildings across the European sectors and through the whole value chain.
  • Better informed planning of building infrastructure (e.g. renovation roadmaps, heating & cooling systems, district heating networks, mobility infrastructures (EV charging, parking facilities, communication networks, strategies for whole life carbon reduction etc.) and better informed investment decision-making for designing future buildings and building processes.
  • Successfully tested smart energy services on the basis of advanced, high-quality building stock performance data.
  • Significant and measurable increase in the use of open, real-time and reliable building data from multiple sources.
  • Development of accurate methods that facilitate collection of data from the building stock (e.g. to support policy making and policy impact assessment or to substantiate performance guarantee schemes and contribute to de-risking investments in a climate neutral building stock over the full life cycle).
  • Better availability of big data and big data analysis facilities for real-life scale research, simulation and policy-making.
  • More effective implementation of EU policies that drive the transition to a green, digital and sustainable economy, and contribute to enhance the quality of the building stock across the board (e.g. quality of life and working, inclusiveness and accessibility, etc.).
Scope:

The proposal should:

  • Enhance the collection and quality of energy and related (e.g. life cycle) data for buildings (including heating, ventilation and air-conditioning, indoor environment quality, all technical equipment, lighting and other appliances) through various sources such as manufacturers’ data, BIM and digital twin models, surveys, digital logbooks, sensors, meters, interfaces (statistical, structured and big data) and Level(s).
  • Explore approaches to integrate dynamic data from buildings (e.g. coming from sensors) with metering static data (e.g. data spaces, energy performance certificates databases), statistical data, and other types of data (e.g. qualitative feedback from building users).
  • Ensure the proposed approaches build on interoperability and cloud-based solutions that and allow for seamless collection and use of data from the buildings, systems and subsystems.
  • Develop new or enhance existing open source data analytics dashboards and prediction tools.
  • Develop improved tools for digital simulation and digital twinning.
  • Develop, enhance and integrate existing open data sharing platforms, including where relevant by refining and integrating building data reference architectures and making links with relevant data spaces.
  • Contribute to the development of open access and standardised European buildings data repositories, also supporting the development of related EU initiatives (e.g. the EU Building Stock Observatory, JRC E3P Roadmap for whole life cycle carbon emissions reduction).
  • Promote fair data management practices to ensure findability, accessibility, interoperability and re-usability of data.
  • Seek to ensure from the design phase that the project is developed with a view to integrate its results/deliverables under a digital building logbook.
  • Demonstrate digital data exchange platforms for building. The solutions should be interoperable and able to interact with grid management platforms.
  • Demonstrate real use cases with business potential (e.g. smart energy services) valorising high quality building performance data, e.g. to accurately monitor energy consumption and production across different fuels (for instance integrated heating and cooling and hybrid systems) as well as other relevant performance criteria.
  • Demonstrate that the proposed solutions allow to significantly improve the monitoring of the building stock performance, taking into consideration all relevant aspects (e.g. environmental, economic, and social ones).

Clustering and cooperation with other relevant projects is strongly encouraged; in particular, liaison and synergies with the Horizon Europe Partnerships on ‘People-centric sustainable built environment’ and ‘Driving Urban Transitions’.

Specific Topic Conditions:

Activities are expected to achieve TRL 8 by the end of the project – see General Annex B.

Cross-cutting Priorities:

EOSC and FAIR data