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

Informazioni relative al progetto

E2COMATION

ID dell’accordo di sovvenzione: 958410

DOI 10.3030/958410

Data della firma CE 23 Settembre 2020

Data di avvio 1 Novembre 2020

Data di completamento 31 Ottobre 2024

Finanziato da

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

Costo totale € 10 560 000,00

Contributo UE € 8 105 775,00

Coordinato da

CONSIGLIO NAZIONALE DELLE RICERCHE
Italy

Risultati finali

Other (3)

Communication material - v3

E2COMATION third set of communication material

Communication material - v1

E2COMATION first set of communication material

Communication material - v2

E2COMATION second set of communication material

Documents, reports (3)

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

Pubblicazioni

Conference proceedings (5)

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

Autori: L. Tuissi, D. Ravasio, S. Spinelli and A. Ballarino
Pubblicato in: 15th International Conference on Computer and Automation Engineering (ICCAE), Numero 2023, 2023, Pagina/e 519-523
Editore: IEEE
DOI: 10.1109/iccae56788.2023.10111131

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

Autori: Roberto Boffadossi, Marco Leonesio, Lorenzo Fagiano
Pubblicato in: Automatica.it 2022, 2022
Editore: Automatica.it

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

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

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

Autori: D. Ravasio, L. Tuissi, S. Spinelli and A. Ballarino
Pubblicato in: 15th International Conference on Computer and Automation Engineering (ICCAE), Numero 2023, 2023
Editore: IEEE
DOI: 10.1109/iccae56788.2023.10111312

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

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

Other (1)

Pathways to Energy Efficient Manufacturing through Digitisation

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