Life-cycle optimization of industrial energy efficiency by a distributed control and decision-making automation platform

Información del proyecto

E2COMATION

Identificador del acuerdo de subvención: 958410

DOI

10.3030/958410

Proyecto cerrado

Fecha de la firma de la CE 23 Septiembre 2020

Fecha de inicio 1 Noviembre 2020

Fecha de finalización 31 Enero 2025

Financiado con arreglo a

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing

Coste total

€ 10 560 000,00

Aportación de la UE

€ 8 105 775,00

Coordinado por

CONSIGLIO NAZIONALE DELLE RICERCHE
Italy

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Other (5)

Communication material - v3

E2COMATION third set of communication material

Training and education material

E2COMATION training and education material

Communication material - v1

E2COMATION first set of communication material

Communication material - v2

E2COMATION second set of communication material

Communication material - v4

E2COMATION final set of communication material

Documents, reports (5)

Dissemination and communication plan - v4

E2COMATION final Dissemination and communication plan

Dissemination and communication plan - v1

E2COMATION first Dissemination and communication plan

Dissemination and communication plan - v3

E2COMATION third Dissemination and communication plan

Dissemination and communication plan - v2

E2COMATION second Dissemination and communication plan

E2COMATION best practices on energy efficiency in manufacturing

Report on E2COMATION best practices on energy efficiency in manufacturing

Publicaciones

Conference proceedings (6)

Bulk Density and Mass Flow Estimation in Fibreboard Production

Autores: Francisco Ambrosio Garcia, Pavel Eremeev, Hendrik Devriendt, Frank Naets
Publicado en: 2024 UKACC 14th International Conference on Control (CONTROL), 2024, Página(s) 143-144
Editor: IEEE
DOI: 10.1109/control60310.2024.10531827

Neural Network Modeling of the Refining Motor Load for Medium-Density Fibreboard Production

Autores: L. Tuissi, D. Ravasio, S. Spinelli and A. Ballarino
Publicado en: 15th International Conference on Computer and Automation Engineering (ICCAE), Edición 2023, 2023, Página(s) 519-523
Editor: IEEE
DOI: 10.1109/iccae56788.2023.10111131

Energy-aware black box MIMO model identification of wood chips refining process operating in closed loop

Autores: Roberto Boffadossi, Marco Leonesio, Lorenzo Fagiano
Publicado en: Automatica.it 2022, 2022
Editor: Automatica.it

Automatic generation of digital-twins in advanced manufacturing: a feasibility study

Autores: Francisco Ambrosio Garcia; Pavel Eremeev; Hendrik Devriendt; Frank Naets; Hüseyin Metin; Merih Özer
Publicado en: 7th International Conference on Control, Automation and Diagnosis, 2023, ISBN 979-8-3503-4707-4
Editor: IEEE
DOI: 10.1109/iccad57653.2023.10152364

A Compressed Air Network Energy-Efficient Hierarchical Unit Commitment and Control

Autores: D. Ravasio, L. Tuissi, S. Spinelli and A. Ballarino
Publicado en: 15th International Conference on Computer and Automation Engineering (ICCAE), Edición 2023, 2023
Editor: IEEE
DOI: 10.1109/iccae56788.2023.10111312

Comparing the EKF with inverse black-box models in system identification of a chemical stirred tank

Autores: Arash M. Zadeh Fard, Francisco Ambrosio Garcia, Matteo Kirchner, Bart Blockmans, Wim Desmet, Frank Naets
Publicado en: 7th International Conference on Control, Automation and Diagnosis (ICCAD), 2023, ISBN 979-8-3503-4707-4
Editor: IEEE
DOI: 10.1109/iccad57653.2023.10152434

Peer reviewed articles (3)

A method and tool for Sustainability-driven Computer-Aided Process Planning with user-tuneable optimization

Autores: Marko Chorbikj, Tommaso Turchi, Marco Cavallaro, Fernando Gigante Valencia, María José Núñez Ariño, César Taboas Carrero, César Martín Casado
Publicado en: European Journal of Sustainable Development, Edición 13, 2024, Página(s) 24, ISSN 2239-6101
Editor: European Center of Sustainable Development
DOI: 10.14207/ejsd.2024.v13n3p24

Machine learning to forecast electricity hourly LCA impacts due to a dynamic electricity technology mix

Autores: Pietro Portolani, Andrea Vitali, Simone Cornago, Davide Rovelli, Carlo Brondi, Jonathan Sze Choong Low, Seeram Ramakrishna, Andrea Ballarino
Publicado en: Frontiers in Sustainability, Edición 3, 2022, ISSN 2673-4524
Editor: Frontiers
DOI: 10.3389/frsus.2022.1037497

Prediction of power consumption from real process data of an industrial wood chip refining plant

Autores: Roberto Boffadossi, Marco Leonesio, Lorenzo Fagiano, Giacomo Bianchi
Publicado en: IFAC-PapersOnLine, Edición 56, 2024, Página(s) 8574-8579, ISSN 2405-8963
Editor: IFAC-PapersOnLine
DOI: 10.1016/j.ifacol.2023.10.029

Other (1)

Pathways to Energy Efficient Manufacturing through Digitisation

Autores: Alan McGibney, Francisco Morentin Gutierrez, Andrea Ballarino, Mark Power, Andrea Barni, Ender Yalcinkaya, Nilay Yalcinkaya Yoruk, Ayse Guventurk, Kubra Yurduseven, and Susan Rea
Publicado en: White Paper (H2020 DT-FOF-09-2020 Project Working Group) 2023, 2023
Editor: H2020 DT-FOF-09-2020 Project Working Group