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CORDIS - Résultats de la recherche de l’UE
CORDIS

High-Quality Data-Driven Services for a Digital Built Environment towards a Climate-Neutral Building Stock

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

DigiBUILD architecture towards an Energy Efficient Building Data Space (s’ouvre dans une nouvelle fenêtre)

The deliverable will report the reference architecture that will be the base for the implementation of DigiBUILD. Success Criteria: The availability of the Reference architecture(T1.5)

Dynamic data ingestion and data quality methodologies (s’ouvre dans une nouvelle fenêtre)

The deliverable will explain the dynamic data ingestion mechanisms and procedures for data extraction, transformation and loading from pilots’ use cases, including data quality methodology definition.Success criteria: Connectors, dynamic data drivers and ETLs (including data quality mechanisms) successfully implemented in line with milestones MS4 and MS6 to assure inputs to tasks within WP3 and WP4.(T2.2)

DigiBUILD data protection and cyber security (s’ouvre dans une nouvelle fenêtre)

This report will summarize the specifications of the requirements related to the security and privacy of the data, in relation also to Task 4.4.Success Criteria: The availability of the data protection and cyber security specifications.(T1.5)

Dissemination and communication plan (s’ouvre dans une nouvelle fenêtre)

This document will include the communication and dissemination plan aimed to achieve a high level of visibility to the project outcomes.Success Criteria: The document should deliver the plan including target groups and stakeholders, strategies to be applied, dissemination meetings and key indicators.(T7.1)

DigiBUILD user stories and adoption of the European Bauhaus initiative (s’ouvre dans une nouvelle fenêtre)

This report will describe the user stories and the needs to be considered in the platform. It will leverage the European Bauhaus initiative to engage users for the co-creation of the project methodologies.Success Criteria: The user requirements are clearly defined.(T1.1, T1.2)

Data assets and interoperability specifications (s’ouvre dans une nouvelle fenêtre)

This report will provide a review of data assets, building data specification, Digital Logbooks and passports used and developed both in the market and recent projects.Success Criteria: A clear and up-to-date indication on the data assets and format to be adopted in the DigiBUILD data toolbox, with identification of needs for new standards in the field.(T1.4)

Secure and trustworthy framework for data accessibility and re-usability (s’ouvre dans une nouvelle fenêtre)

The deliverable will describe a trustworthy blockchain-based framework to ensure secure, immutable and pseudo-anonymized data collection at field level. Success criteria: P2P framework for data gathering (as a FIWARE context broker extension) available in the first release at MS4. (T2.1)

Semantic Data Models and ontologies to ensure semantic interoperability (s’ouvre dans une nouvelle fenêtre)

The deliverable will define the data models and ontologies to represent building data and interoperability mechanisms to combine various data sources in the scope of DigiBUILD use cases.An intermediate version of this deliverable will be made available at M12.Success criteria: Releases of data models and ontologies will be available in line with milestones MS4 and MS6 to assure inputs to tasks within WP3 and WP4. (T2.3)

Co-design of the DigiBUILD use cases and technical framework requirements (s’ouvre dans une nouvelle fenêtre)

The report will describe the technical use cases. Success Criteria: The availability of the technical framework requirements.(T1.3)

‘Second wave' of DigiBUILD AI-based data-driven services for the built environment (s’ouvre dans une nouvelle fenêtre)

The deliverable will report about the ‘second wave’ of DigiBUILD AI-based data-driven services.Success criteria: Availability of the services in the second technical release MS6.(T3.1,T3.2, T3.3, T3.4, T3.5)

Communication, dissemination and capacity building activities (progress report and plan) (s’ouvre dans une nouvelle fenêtre)

This document will report the dissemination and communication activities performed, the results achieved and an updated version of the plan. Success Criteria: The document should report the achieved results and the new/updated plans.(T7.1,T7.2,T7.3,T7.4)

Pilots' execution documentation - pre-pilot phase (s’ouvre dans une nouvelle fenêtre)

This deliverable will provide a description of the pilots’ use cases, engagement and social acceptance actions, overall activity monitoring and impact analysis in relation to the pre-pilot cycle running during M14-16 period. Success Criteria: The availability of the report in relation to pre-pilot scope at MS5 pilot pre-phase completion.(T5.3,T5.4,T5.5, T5.6)

‘First wave' of DigiBUILD AI-based data-driven services for the built environment (s’ouvre dans une nouvelle fenêtre)

The deliverable will report about the ‘first wave’ of DigiBUILD AI-based data-driven services. Success criteria: Availability of the services in the first technical release MS4(T3.1,T3.2,T3.3, T3.4,T3.5)

Final synthesis of the DigiBUILD inclusive and people-centric framework (co-design of use cases, data assets, data protection, cyber security and architecture) (s’ouvre dans une nouvelle fenêtre)

The report will contain the final functional and non-functional requirements and the consolidated Reference Architecture. Success Criteria: Final version of the specifications and Reference architecture available.(T1.1, T1.2, T1.3, T1.4, T1.5)

Digital Twin Suite and cloud-based DigiBUILD data toolbox (Beta version) (s’ouvre dans une nouvelle fenêtre)

The deliverable will report about the second release of the Digital Twin Suite and cloud-based DigiBUILD data toolbox, corresponding to the second technical release MS6. Success criteria: Availability of second version of the environment.(T4.1, T4.2, T4.3, T4.4, T4.5)

DigiBUILD website (s’ouvre dans une nouvelle fenêtre)

The deliverable represent the project website to support the project dissemination.Success Criteria: availability of the accompanying document describing the website structure and main sections roles.(T7.2)

Digital Twin Suite and cloud-based DigiBUILD data toolbox (Alpha version) (s’ouvre dans une nouvelle fenêtre)

The deliverable will report about the first release of the Digital Twin Suite and cloud-based DigiBUILD data toolbox, corresponding to the first technical release MS4. Success criteria: Availability of first version of the environment.(T4.1, T4.2, T4.3, T4.4, T4.5)

Publications

Automatic HVAC Topology Generation Using BIM Geometry Checking and Knowledge Graph Technologies (s’ouvre dans une nouvelle fenêtre)

Auteurs: Meng Wang, Georgios N. Lilis, Kyriakos Katsigarakis, Dimitris Mavrokapnidis, Ivan Korolija, Dimitrios Rovas
Publié dans: Computing in Construction, Proceedings of the 2024 European Conference on Computing in Construction, Numéro 5, 2024
Éditeur: European Council for Computing in Construction
DOI: 10.35490/EC3.2024.257

A DATA ACQUISITION FRAMEWORK FOR BUILDING ENERGY MANAGEMENT

Auteurs: Konstantinos Touloumis, Panagiotis Kapsalis, Elissaios Sarmas, Stathis Stamatopoulos, Vangelis Marinakis and Haris Doukas
Publié dans: 2023, ISBN 978-989-8704-47-4
Éditeur: International Conferences e-Society 2023 and Mobile Learning 2023

Semi-automated extraction of HVAC system topology from imperfect Building Information Models

Auteurs: Dimitris Mavrokapnidis, Georgios N. Lilis, Kyriakos Katsigarakis, Ivan Korolija, Dimitrios Rovas
Publié dans: 2023
Éditeur: IBPSA

A Unified Framework for Querying Dynamic and Semantic Data Sources (s’ouvre dans une nouvelle fenêtre)

Auteurs: Konstantinos Touloumis, Panagiotis Kapsalis, Elissaios Sarmas, Stathis Stamatopoulos, Evangelos Karakolis, Vaggelis Marinakis
Publié dans: 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), 2024
Éditeur: IEEE
DOI: 10.1109/IISA59645.2023.10345935

Using Extraction, Transformation and Loading Procedures for Digitalisation of Buildings (s’ouvre dans une nouvelle fenêtre)

Auteurs: José L. Hernández, David Arévalo, Susana Martín, Kyriakos Katsigarakis, Georgios N. Lilis, Dimitrios Rovas, Ignacio De Miguel
Publié dans: 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech), 2024
Éditeur: IEEE
DOI: 10.23919/SPLITECH61897.2024.10612635

SeeQ: A Programming Model for Portable Data-Driven Building Applications (s’ouvre dans une nouvelle fenêtre)

Auteurs: Dimitris Mavrokapnidis, Gabe Fierro, Maria Husmann, Ivan Korolija, Dimitrios Rovas
Publié dans: BuildSys '23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2023, ISBN 9798400702303
Éditeur: Association for Computing Machinery
DOI: 10.1145/3600100.3623744

AI-Based Methodology for Thermal Comfort Measurement: Application of a Simplified Comfort Model on a Real-Life Case Study (s’ouvre dans une nouvelle fenêtre)

Auteurs: Vittoria Cipollone, Nicole Morresi, Serena Serroni, Sara Casaccia, Matteo Giovanardi, Alessandro Pracucci, Diego Arnone, Gian Marco Revel
Publié dans: 2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), 2024
Éditeur: IEEE
DOI: 10.1109/METROLIVENV60384.2024.10615461

Unsupervised domain adaptation methods for photovoltaic power forecasting (s’ouvre dans une nouvelle fenêtre)

Auteurs: Loukas Ilias, Elissaios Sarmas, Vangelis Marinakis, Dimitris Askounis, Haris Doukas
Publié dans: Applied Soft Computing, Numéro 149, 2023, ISSN 1568-4946
Éditeur: Elsevier BV
DOI: 10.1016/J.ASOC.2023.110979

Challenges and opportunities in European smart buildings energy management: A critical review (s’ouvre dans une nouvelle fenêtre)

Auteurs: Hernández, José L.; de Miguel, Ignacio; Velez, Fredy; Vasallo Belver, Ali
Publié dans: Renewable and Sustainable Energy Reviews, 2024
DOI: 10.1016/J.RSER.2024.114472

A Unified Framework for Querying Dynamic and Semantic Data Sources (s’ouvre dans une nouvelle fenêtre)

Auteurs: K. Touloumis and P. Kapsalis and E. Sarmas and S. Stamatopoulos and E. Karakolis and V. Marinakis
Publié dans: 2023
Éditeur: IEEE Computer Society
DOI: 10.1109/IISA59645.2023.10345935

A tool for the data notarization with the Blockchain to ensure security and privacy (s’ouvre dans une nouvelle fenêtre)

Auteurs: A. Rossi, A. Natalini, L. Cristofori and M. Mammina
Publié dans: 2023, ISBN 978-1-6654-5693-7
Éditeur: IEEE
DOI: 10.1109/MetroLivEnv56897.2023.10164060

Multi-Criteria Building Performance Assessment (s’ouvre dans une nouvelle fenêtre)

Auteurs: José L. Hernández, Serena Serroni, Stathis Stamatopoulos, Elissaios Sarmas, Gian Marco Revel, Fredy Vélez
Publié dans: 2024 15th International Conference on Information, Intelligence, Systems & Applications (IISA), 2024
Éditeur: IEEE
DOI: 10.1109/IISA62523.2024.10786614

Empowering Built Environment Innovation through Data-Driven Digital Services: A Methodological Framework for Impact Measurement (s’ouvre dans une nouvelle fenêtre)

Auteurs: Serena Serroni, Nicole Morresi, Vittoria Cipollone, Sara Casaccia, José L. Hernández, Gian Marco Revel
Publié dans: 2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), 2024
Éditeur: IEEE
DOI: 10.1109/METROLIVENV60384.2024.10615344

Data Quality in The Built Environment Across Europe (s’ouvre dans une nouvelle fenêtre)

Auteurs: José L. Hernández, Susana Martín, Vanja Lonac, Ignacio de Miguel, Alessandro Rossi
Publié dans: Computing in Construction, Proceedings of the 2024 European Conference on Computing in Construction, Numéro 5, 2024
Éditeur: European Council for Computing in Construction
DOI: 10.35490/EC3.2024.217

Connection of Dynamic and Static Data: A Data Lake for Building Digitalisation (s’ouvre dans une nouvelle fenêtre)

Auteurs: José L. Hernández, David Arévalo, Susana Martín, Kyriakos Katsigarakis, Georgios N. Lilis, Dimitrios Rovas, Ignacio De Miguel
Publié dans: 2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), 2024
Éditeur: IEEE
DOI: 10.1109/METROLIVENV60384.2024.10615827

Development of a Methodology to Define Data-Driven and Measurement-Based Services for the Built Environment (s’ouvre dans une nouvelle fenêtre)

Auteurs: Cipollone, Vittoria and Morresi, Nicole and Serroni, Serena and Casaccia, Sara and Revel, Gian Marco and Costa, Nina and Andersen, Birgitte Holt and Arnone, Diego
Publié dans: 2023, ISBN 978-1-6654-5693-7
Éditeur: IEEE
DOI: 10.1109/MetroLivEnv56897.2023.10163998

A Secure and Trustworthy Framework for Field Device Measurements by Means of Smart Contracts (s’ouvre dans une nouvelle fenêtre)

Auteurs: Alessandro Rossi, Lorenzo Cristofori, José L. Hernández
Publié dans: Lecture Notes in Networks and Systems, Blockchain and Applications, 6th International Congress, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-81928-5_33

Enhancing the energy efficiency in district heating networks through digital twins (s’ouvre dans une nouvelle fenêtre)

Auteurs: José L. Hernández, Ignacio de Miguel, Fredy Vélez, Pablo Marcos, Javier Martín
Publié dans: Procedia Computer Science, Numéro 246, 2025, ISSN 1877-0509
Éditeur: Elsevier BV
DOI: 10.1016/J.PROCS.2024.09.277

Applied Soft Computing Journal (s’ouvre dans une nouvelle fenêtre)

Auteurs: Loukas Ilias, Elissaios Sarmas, Vangelis Marinakis, Dimitris Askounis, Haris Doukas
Publié dans: Applied Soft Computing, 2023, ISSN 1568-4946
Éditeur: Elsevier BV
DOI: 10.1016/j.asoc.2023.110979

A knowledge graph-based framework to automate the generation of building energy models using geometric relation checking and HVAC topology establishment (s’ouvre dans une nouvelle fenêtre)

Auteurs: Meng Wang, Georgios N. Lilis, Dimitris Mavrokapnidis, Kyriakos Katsigarakis, Ivan Korolija, Dimitrios Rovas
Publié dans: Energy and Buildings, Numéro 325, 2024, ISSN 0378-7788
Éditeur: Elsevier BV
DOI: 10.1016/J.ENBUILD.2024.115035

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