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CORDIS - EU research results
CORDIS

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Communication material - v3 (opens in new window)

E2COMATION third set of communication material

Training and education material (opens in new window)

E2COMATION training and education material

Communication material - v1 (opens in new window)

E2COMATION first set of communication material

Communication material - v2 (opens in new window)

E2COMATION second set of communication material

Communication material - v4 (opens in new window)

E2COMATION final set of communication material

Dissemination and communication plan - v4 (opens in new window)

E2COMATION final Dissemination and communication plan

Dissemination and communication plan - v1 (opens in new window)

E2COMATION first Dissemination and communication plan

Dissemination and communication plan - v3 (opens in new window)

E2COMATION third Dissemination and communication plan

Dissemination and communication plan - v2 (opens in new window)

E2COMATION second Dissemination and communication plan

E2COMATION best practices on energy efficiency in manufacturing (opens in new window)

Report on E2COMATION best practices on energy efficiency in manufacturing

Publications

Bulk Density and Mass Flow Estimation in Fibreboard Production (opens in new window)

Author(s): Francisco Ambrosio Garcia, Pavel Eremeev, Hendrik Devriendt, Frank Naets
Published in: 2024 UKACC 14th International Conference on Control (CONTROL), 2024, Page(s) 143-144
Publisher: IEEE
DOI: 10.1109/control60310.2024.10531827

Neural Network Modeling of the Refining Motor Load for Medium-Density Fibreboard Production (opens in new window)

Author(s): L. Tuissi, D. Ravasio, S. Spinelli and A. Ballarino
Published in: 15th International Conference on Computer and Automation Engineering (ICCAE), Issue 2023, 2023, Page(s) 519-523
Publisher: IEEE
DOI: 10.1109/iccae56788.2023.10111131

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

Author(s): Roberto Boffadossi, Marco Leonesio, Lorenzo Fagiano
Published in: Automatica.it 2022, 2022
Publisher: Automatica.it

Automatic generation of digital-twins in advanced manufacturing: a feasibility study (opens in new window)

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

A Compressed Air Network Energy-Efficient Hierarchical Unit Commitment and Control (opens in new window)

Author(s): D. Ravasio, L. Tuissi, S. Spinelli and A. Ballarino
Published in: 15th International Conference on Computer and Automation Engineering (ICCAE), Issue 2023, 2023
Publisher: IEEE
DOI: 10.1109/iccae56788.2023.10111312

Comparing the EKF with inverse black-box models in system identification of a chemical stirred tank (opens in new window)

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

A method and tool for Sustainability-driven Computer-Aided Process Planning with user-tuneable optimization (opens in new window)

Author(s): Marko Chorbikj, Tommaso Turchi, Marco Cavallaro, Fernando Gigante Valencia, María José Núñez Ariño, César Taboas Carrero, César Martín Casado
Published in: European Journal of Sustainable Development, Issue 13, 2024, Page(s) 24, ISSN 2239-6101
Publisher: 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 (opens in new window)

Author(s): Pietro Portolani, Andrea Vitali, Simone Cornago, Davide Rovelli, Carlo Brondi, Jonathan Sze Choong Low, Seeram Ramakrishna, Andrea Ballarino
Published in: Frontiers in Sustainability, Issue 3, 2022, ISSN 2673-4524
Publisher: Frontiers
DOI: 10.3389/frsus.2022.1037497

Prediction of power consumption from real process data of an industrial wood chip refining plant (opens in new window)

Author(s): Roberto Boffadossi, Marco Leonesio, Lorenzo Fagiano, Giacomo Bianchi
Published in: IFAC-PapersOnLine, Issue 56, 2024, Page(s) 8574-8579, ISSN 2405-8963
Publisher: IFAC-PapersOnLine
DOI: 10.1016/j.ifacol.2023.10.029

Pathways to Energy Efficient Manufacturing through Digitisation

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

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