CARTIF Projects

DigiBUILD

High quality data driven services for a digital built environment towards a climate-neutral building stock

Description

DigiBUILD overview is to provide an open, interoperable, cloud-based toolbox to transform buildings from traditional `silos´ into interoperable, smarter, digital buildings based on consistent and reliable data. High quality data will provide better informed decision making for “performance monitoring evaluation”, the “building infrastructure planning”, “policy making and elimination of investment risks “. DigiBUILD will provide high quality data-driven services for a sustainable digital and built environment. It will also support the deployment of a digital framework to house a Digital Building Logbook.

Objectives

    • Introduce an innovative framework for co-creation and co-design of use-cases with Smart Building stakeholders.
    • Increase data quality through the data lifecycle by creating federated Data Lake with dynamic data with integrated Building Business Intelligence. 
    • Increase interoperability taking advantage of data models based on standards. 
    • Implement data analytic services based on AI for a energy management based on high quality data, energy efficiency, ensuring comfort.
    • Deploy reusable, configurable and interoperable digital twins at system level for better information planning of building infrastructure and investment decision making for future building design and construction processes.  

Actions

  • Definition and implementation of a methodology for the analysis of data quality in its multiple dimensions. 
  • Definition and implementation of a data imputation procedure based on machine learning to minise information loss.
  • Design and deployment of a federated data lake for the management of Big-Data on smart buildings with Business Intelligence application. 
  • Design an development of intelligent energy generation and demand forecasting services, as well as optimisation of produxtion systems in heat networks. 
  • Design and development of a digital twin for a heat network connected to a set of buildings. 

Expected Results

  • Tool for calculating data quality indicators.
  • Data imputation tool with the minicication of gaps.
  • Data lake federated and interoperable.
  • Prediction and optimization services.
  • Heat network digital twin.
  • Gemelo digital de la red de calor.

R&D Line

  • Research on advance and smart strategies for the management, operation and maintenance on buildings based on AI/ML/DL for the generation of support decision-making systems.

Partners

 

1. ENGINEERING – INGEGNERIA INFORMATICA SPA (ENG)
2. ETHNICON METSOVION POLYTECHNION (NTUA)
3. FUNDACION CARTIF (CARTIF
4. UNIVERSITA POLITECNICA DELLE MARCHE (UNIVPM)
5. CNET CENTRE FOR NEW ENERGY TECHNOLOGIES
6. VEOLIA SERVICIOS LECAM SOCIEDAD ANONIMA UNIPERSONAL (VEOLIA)
7. IRON THERMOILEKTRIKI ANONYMI ETAIREIA (HERON)
8. FOCCHI SPA (FOCCHI)
9. FORUM VIRIUM HELSINKI OY (FVH)
10. MUNICIPIUL IASI (IASI)
11. SITTA RESEARCH SRL (SITTA)
12. ELECTRICITE DE FRANCE (EDF)
13. EMOTION SRL (EMOT)
14. INSTITUTE FOR EUROPEAN ENERGY AND CLIMATE POLICY STICHTING (IEECP)
15. CWARE APS (CWARE)
16. EUROHEAT & POWER (EHP)

    Horizon Europe

    101069658

    Total Budget: 5,525,782.50 €

    CARTIF Budget: 534,500 €

    CARTIF financing: 534,500 €

    Duration: 01/06/2022 – 31/05/2025

    Responsible

    José L. Hernández

    Energy Division

    josher@cartif.es

    Networking

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