Livrables
Development of a Software as a Service tool which is connected to the internet and provides a method to deliver performance optimisation tools by accessing them online.
Evaluation of performance of sensors, equipment, and process monitoring and control tools, as retrofitting solutions and evaluation of the economic gain based on overall results of the industrial application in the different demonstration cases.
MFA applied and validated for steel plant at SIDThe Material Flow Analysis of RWTH Task23 for tracking of sources and quality of steel scrap is applied and validated for the steel plant at SID
Material flow anaysis created and data provided for all use casesMaterial flow analysis including the definition of the system and system parameters the modelling the data collection and allocation and the evaluation verification and documentation created
Variability in material and energy feedstock assessed for the different use casesVariability in the feedstock for the steelmaking, aluminium refinery, and lead making assessed.
Report on cross-sectorial transferability of retrofitting solutionsEvaluation how well the developed retrofitting solutions will be transferable to other industrial sectors like other metal making processes and other process industries.
Final exploitation workshopsExploitation workshops organised and held during the project, dealing with the application of innovative sensor techniques, plant equipment and process control methodologies to industrial processes.
Final dissemination event: joint dissemination workshop with other projectsOrganisation of meeting in cooperation with other projects funded in the same SPIRE call in Horizon 2020 calls with similar topics, to allow for information exchange and to discuss on common dissemination strategies and events.
MFA applied and validated for lead plant at EXIMaterial Flow Analysis for the recycled lead production applied and validated for the lead plant at EXI
MFA applied and validated for Aluminium plant at GRUThe Material Flow Analysis is applied and validated at the aluminium plant at GRU to identify the proper KPIs for quality prediction and predictive control
LCA for assessment of impact reduction (energy & resource efficiency, GHG emissions) for the different demonstration casesFull LCA assessment of impact reduction regarding energy & resource efficiency and GHG emissions for steelmaking, aluminium chips refining and lead recycling.
Economic, technological and regulatory challenges identified, scope of LCAs definedIdentification of economy, technology and regulatory spheres for the steelmaking, aluminium refinery and lead making sectors. Scope and goal of the Life Cycle Analysis defined.
On-line monitoring systems for process behaviour developedOnline monitoring systems for the steel making Al and Lead use cases to process gathered data and calculate continuously composition and temperature developed
Preliminary economic assessmentPreliminary evaluation of the economic gain of the integrated retrofitting solutions based on the results of the industrial demonstration cases
Charge mix optimisation implemented in steel plantsBFI statistical model for steel scrap characterisation and of charge mix optimisation WP4 implemented at the steel plants of SID and AMB
Release of project web-site, press releases including a project leafletProject leaflet and web-site with a public part containing key project information and results and a private part reserved for the project partners are released by BFI. The information to be published on the web-site is provided by all partners.
LIBS sensor tested with scrap samples at laboratory and ready for installationThe LIBS sensor is calibrated and validated at laboratory with feeding material steel scrap Al chips Pb shredder provided by the partners and ready for installation at a belt conveyer at ILT
Publications
Auteurs:
E. Acha; A. Lopez-Urionabarrenechea; Clara Delgado; Lander Martinez-Canibano; Borja Baltasar Perez-Martinez; Adriana Serras-Malillos; B.M. Caballero; Lucía Unamunzaga; Elena Dosal; Noelia Montes; Jon Barrenetxea-Arando
Publié dans:
Polymers, Numéro 1, 2021, ISSN 2073-4360
Éditeur:
MDPI
DOI:
10.3390/polym13213807
Auteurs:
Emili Barbarias, Asier Bakedano, Ibon Lizzaralde, Sergio Orden, Ana Isabel Fernández Calvo
Publié dans:
International Journal of Metalcasting, Numéro Volume 17, April (2023), 2023, Page(s) 551–562, ISSN 1939-5981
Éditeur:
American Foundry Society
DOI:
10.1007/s40962-022-00794-w
Auteurs:
Asier Bakedano; Andrea Niklas; Ana Isabel Fernández-Calvo; Gorka Plata; Jokin Lozares; Carlos Berlanga-Labari
Publié dans:
Metals, Numéro 6, 2021, ISSN 2075-4701
Éditeur:
MDPI
DOI:
10.3390/met11071147
Auteurs:
M. Grodzicka-Kobyłka, T. Szczęśniak, Ł. Świderski, K. Brylew, M. Moszyński, K. Grodzicki, P. Mazerewicz, J. Szymanowski, Z. Mianowska
Publié dans:
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Numéro A[70] Vol. 1019 (2021) 165858, 2021, ISSN 0168-9002
Éditeur:
Elsevier BV
DOI:
10.1016/j.nima.2021.165858
Auteurs:
Bernd Kleimt; Waldemar Krieger; Diana Mier Vasallo; Asier Arteaga Ayarza; Inigo Unamuno Iriondo
Publié dans:
Metals, Numéro Volume 13; Numéro 8, 2023, ISSN 2075-4701
Éditeur:
MDPI
DOI:
10.3390/met13081332
Auteurs:
M. Grodzicka-Kobylka, T. Szczesniak, K. Brylew, L. Adamowski
Publié dans:
Proceedings of 2023 IEEE Nuclear Science Symposium and Medical Imaging Conference, Numéro Yearly Conference, 2023 Numéro, 2023
Éditeur:
IEEE Explore
DOI:
10.1109/nssmicrtsd49126.2023.10338467
Auteurs:
T. Szczesniak, M. Grodzicka-Kobylka, K. Brylew, L. Adamowski, K. Grodzicki, L. Janiak, A. Dziedzic, M. Sitek, A. Syntfeld-Kazuch, H. Zastawny, A. Gajderowicz, F. Peregrin, T. Baldi, M. da Silva Lopez, M. J. Neuer, B. Kleimt
Publié dans:
Proceedings of 2023 IEEE Nuclear Science Symposium and Medical Imaging Conference, Numéro Yearly conference, 2023 Numéro, 2023
Éditeur:
IEEE-Explorer
DOI:
10.1109/nssmicrtsd49126.2023.10338061
Auteurs:
Kamil Brylew, Tomasz Szczesniak, Martyna Grodzicka, L. Janiak, Lukasz Adamowski, Marcus Neuer
Publié dans:
Proceedings of 2023 IEEE Nuclear Science Symposium and Medical Imaging Conference, Numéro Yearly conference, 2023 Numéro, 2023
Éditeur:
IEEE Explorer
DOI:
10.1109/nssmicrtsd49126.2023.10338615
Droits de propriété intellectuelle
Numéro de demande/publication:
ES
M4119018
Date:
2021-04-23
Demandeur(s):
FUNDACION AZTERLAN
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