Building Information aGGregation, harmonization and analytics platform

Informations projet

BIGG

N° de convention de subvention: 957047

DOI

10.3030/957047

Projet clôturé

Date de signature de la CE 11 Septembre 2020

Date de début 1 Decembre 2020

Date de fin 30 Novembre 2023

Financé au titre de

• SOCIETAL CHALLENGES - Secure, clean and efficient energy

Coût total

€ 4 877 914,82

Contribution de l’UE

€ 3 992 377,50

Coordonné par

INETUM REALDOLMEN BELGIUM
Belgium

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

Documents, reports (9)

2nd report on dissemination, communication and clustering activities and results
Final technical specifications and description of the integrated BIGG solution
Detailed description of Use cases and end-user services

Detailed description of Use cases and enduser services

Initial technical specifications and preliminary design of BIGG Architecture building blocks and APIs
Update of contributions to standardization actions and preliminary Market2Go strategy including BIGG impact
1st report on dissemination, communication and clustering activities and results

1st report on dissemination communication and clustering activities and results

Final contributions to standardization actions and final Market2Go strategy including BIGG impact
Dissemination and communication actions plans and target KPIs
Initial contributions to standardization actions and market analysis

Demonstrators, pilots, prototypes (8)

Description of the final harmonization layer
Description of the final AI toolbox
Description of the preliminary AI toolbox
Description of the final end-user communication and security layers
First evaluation of the BIGG pilots results on use cases
Final evaluation of the BIGG pilots results on use cases
Description of the preliminary end-user communication and security layers
Description of the preliminary harmonization layer

Open Research Data Pilot (1)

Public BIGG Data

Websites, patent fillings, videos etc. (1)

Marketing material and website

Other (1)

Collaborative Working Environment and its maintenance

Publications

Book chapters (1)

A data-driven method for unsupervised electricity consumption characterisation at the district level and beyond

Auteurs: Gerard Mor, Jordi Cipriano Giacomo Martirano, Francesco Pignatelli, Chiara Lodi, Florencia Lazzari, Benedetto Grillone, DanielChemisana
Publié dans: Energy Reports, Volume 7, November 2021, 2021, Page(s) Pages 5667-5684
Éditeur: Elsevier

Conference proceedings (3)

Harmonizing Input Data for Digital Building Twin: Energy Efficiency Use Case

Auteurs: Audrey Bouet, Nicolas Bus, Stoyan Danov, Eloi Gabaldon, Edgar Martinez-Sarmiento, Nicolas Pastorelly, Guillaume Picinbono
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/ec3.2024.274

Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households

Auteurs: Gargya Gokhale, Niels Tiben, Marie-Sophie Verwee, Manu Lahariya, Bert Claessens, Chris Develder
Publié dans: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2024, Page(s) 347-351
Éditeur: ACM
DOI: 10.1145/3600100.3625681

Physics-informed Recurrent Neural Networks for the identification of a generic energy buffer system

Auteurs: Manu Lahariya, Farzaneh Karami, Chris Develder, Guillaume Crevecoeur
Publié dans: 10th IEEE Data-Driven Control and Learn. Sys. Conf. (DDCLS 2021), 2021
Éditeur: IEEE
DOI: 10.1109/ddcls52934.2021.9455657

Peer reviewed articles (5)

Physics-Informed LSTM Network for Flexibility Identification in Evaporative Cooling System

Auteurs: Manu Lahariya, Farzaneh Karami, Chris Develder, Guillaume Crevecoeur
Publié dans: IEEE Transactions on Industrial Informatics, Numéro 19, 2023, Page(s) 1484-1494, ISSN 1551-3203
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tii.2022.3173897

A novel system for providing explicit demand response from domestic natural gas boilers

Auteurs: Georgios I. Tsoumalis, Zafeirios N. Bampos, Pandelis N. Biskas, Stratos D. Keranidis, Polychronis A. Symeonidis, Dimitrios K. Voulgarakis
Publié dans: Applied Energy, Numéro 317, 2023, Page(s) 119038, ISSN 0306-2619
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.apenergy.2022.119038

Linked Data Generation Methodology and the Geospatial Cross-Sectional Buildings Energy Benchmarking Use Case

Auteurs: Edgar A. Martínez-Sarmiento, Jose Manuel Broto, Eloi Gabaldon, Jordi Cipriano, Roberto García, Stoyan Danov
Publié dans: Energies, Numéro 17, 2024, Page(s) 3006, ISSN 1996-1073
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en17123006

Physics informed neural networks for control oriented thermal modeling of buildings

Auteurs: Gargya Gokhale, Bert Claessens, Chris Develder
Publié dans: Applied Energy, Numéro 314, 2023, Page(s) 118852, ISSN 0306-2619
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.apenergy.2022.118852

Dynamic horizon selection methodology for model predictive control in buildings

Auteurs: Gerard Laguna, Gerard Mor, Florencia Lazzari, Eloi Gabaldon, Arash Erfani, Dirk Saelens, Jordi Cipriano
Publié dans: Energy Reports, Numéro 8, 2024, Page(s) 10193-10202, ISSN 2352-4847
Éditeur: Elsevier
DOI: 10.1016/j.egyr.2022.08.015