Livrables
Dissemination and Communication Plan Developed by STAM with contributions from the whole consortium, this document will describe the means and objectives of the COGNIPLANT dissemination.
Learning material: Technical Specifications, methodologies and best practices.Learning material: Technical Specifications, methodologies and best practices. Developed by STAM with strong contributions from the whole consortium, this deliverable will be built and developed as a training manual in order to be used during the training sessions; the contents will be formatted to provide learning services after the project to ensure the novel process deployment and maximise the project impact
Life Cycle Impact Assessment (LCIA).Life Cycle Impact Assessment (LCIA). Report the results of the actual LCAs performed on each demonstrator. The outcomes of the analyses will be reported according to the guidelines described in ISO 14040, measuring the impacts listed in the relevant standard. A comparison between the impacts of all case studies (in baseline vs. COGNIPLANT configuration) will be performed, to highlight the main source of environmental impact within each life cycle, and possible future ways of improvement will be proposed.
Final Report on Dissemination Communication ActivitiesFinal Report on Dissemination Communication Activities Developed by STAM with contributions from the whole consortium this deliverable will collect and describe all the dissemination activities performed in the last six months of the project as well as collect all the COGNIPLANT training sessions minutes and relevant contents
2nd Report on Dissemination Communication Activities for 2nd period2nd Report on Dissemination Communication Activities for 2nd periodDeveloped by STAM with contributions from the whole consortium this deliverable will collect and describe all the dissemination activities performed in the second period of the project
1st Report on Dissemination Communication Activities for 1st period1st Report on Dissemination Communication Activities for 1st period Developed by STAM with contributions from the whole consortium this deliverable will collect and describe all the dissemination activities performed in the first 18 months of the project
Baseline and COGNIPLANT demonstrators Life Cycle Inventory (LCI)Baseline and COGNIPLANT demonstrators Life Cycle Inventory (LCI) Collect and report all the information required to perform a LCA about the state of the art demonstrators and the upgraded plants where COGNIPLANT solutions are deployed. For each reference unit, both background data will be collected, from LCI databases available in literature, and foreground data, specific of each demonstrator. LCI data are collected according to the boundaries of the analysis that are set. D5.4 also provides a description of the life cycle model developed for each of the case studies.
Final progress reportBranding, website and social media channels Developed by STAM with contributions from the whole consortium, this document will describe the development of the logo, the development of the website, the planning for the website and social channels’ update, as well as deliverable and presentation’ templates, tentative project poster and leaflet and a timeline of the envisaged project dissemination activities.
Publications
Auteurs:
Sabrina Luftensteiner, Michael Mayr, Georgios Chasparis
Publié dans:
International Conference on Big Data Analytics and Knowledge Discovery, Numéro Computer Science vol 12925., 2021, Page(s) pp 242–249, ISBN 978-3-030-86534-4
Éditeur:
DaWaK 2021
DOI:
10.1007/978-3-030-86534-4_23
Auteurs:
Georgios Chasparis, Sabrina Luftensteiner, Michael Mayr
Publié dans:
3rd International Conference on Industry 4.0 and Smart Manufacturing, 2022, Numéro """Procedia Computer Science Volume 200, 2022""", 2022, Page(s) Pages 1402-1411, ISSN 1877-0509
Éditeur:
Elsevier
DOI:
10.1016/j.procs.2022.01.341
Auteurs:
A. V. Kychkin, G. C. Chasparis and S. Ellero
Publié dans:
31st Mediterranean Conference on Control and Automation (MED), 2023, Page(s) 960-966, ISBN 979-8-3503-1543-1
Éditeur:
IEEE
DOI:
10.1109/med59994.2023.10185790
Auteurs:
Michael Mayr, Sabrina Luftensteiner, Georgios Chasparis
Publié dans:
3rd International Conference on Industry 4.0 and Smart Manufacturing, 2021, Numéro """Procedia Computer Science Volume 200, 2022""", 2022, Page(s) Pages 1442-1450, ISSN 1877-0509
Éditeur:
Elsevier
DOI:
10.1016/j.procs.2022.01.345
Auteurs:
Johannes Ellinger; Leopold Beck; Maximilian Benker; Roman Hartl; Michael F. Zaeh
Publié dans:
Applied Sciences; Volume 13; Numéro 2; Pages: 949, Numéro 1, 2022, ISSN 2076-3417
Éditeur:
MDPI
DOI:
10.3390/app13020949
Auteurs:
A. Astarloa, T. Semm, I. Mancisidor, M.H. Fernandes, J. Ellinger, Z. Dombovari, J. Munoa
Publié dans:
CIRP Annuals, Numéro Manufacturing technology 2022, 2022, ISSN 0007-8506
Éditeur:
Hallwag AG
DOI:
10.1016/j.cirp.2022.04.039
Auteurs:
Sabrina Luftensteiner, Michael Mayr, Georgios Chasparis, Mario Pichler
Publié dans:
Frontiers in Chemical Engineering, Computational Methods in Chemical Engineering, Numéro June 2021 | Volume 3 | Article, 2021, Page(s) on-line, ISSN 0007-8506
Éditeur:
Hallwag AG
DOI:
10.3389/fceng.2021.665545
Auteurs:
Luftensteiner, Sabrina and Chasparis, Georgios C. and Kung, Josef
Publié dans:
Information Systems eJournal, 2023, ISSN 2581-6942
Éditeur:
Elsevier
DOI:
10.2139/ssrn.4552873
Auteurs:
Sabrina Luftensteiner, Georgios C. Chasparis, Michael Mayr
Publié dans:
Procedia Computer Science, Numéro Volume 217, 2023, 2023, Page(s) Pages 960-968, ISSN 1877-0509
Éditeur:
sciencedirect.com
DOI:
10.1016/j.procs.2022.12.293
Recherche de données OpenAIRE...
Une erreur s’est produite lors de la recherche de données OpenAIRE
Aucun résultat disponible