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Financement de l’UE (9 533 996 €) : ENERgy-efficient manufacturing system MANagement Hor 09/12/2020 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
ENERgy-efficient manufacturing system MANagement
ENERMAN envisions the factory as a living organism that can manage its energy consumption in an autonomous way. It will create an Energy sustainability management framework collecting data from the factory and holistically process them to create dedicated energy sustainability metrics. These values will be used to predict energy trends using industrial processes, equipment and energy cost models. ENERMAN will deliver an autonomous, intelligent decision support engine that will evaluate the predicted trends and access if they match predefined energy consumption sustainability KPIs. If the KPIs are not met, ENERMAN will suggest and implement changes in energy affected production lines control processes: an energy aware flexible control loop on various factory processes will be deployed. The ENERMAN administrators will be able to use the above mechanisms in order to identify how future changes in the production lines can impact energy sustainability using the ENERMAN prediction engine (based on digital twins) to visualize possible sustainability results when in-factory changes are made in equipment, production line. The ENERMAN digital twin will predict the economic cost of the consumed energy based on the collected and predicted Energy Peak load tariff, Renewable Energy System self-production, the variations in demand response, possible virtual generation and prosumer aggregation. Finally, ENERMAN considers the operators actions within the production chain as part of a factory’s energy fingerprint since their activity within the factory impacts the various production lines. In ENERMAN, we include a training mechanism with suggested personnel good practices for energy sustainability improvement through the production lines. Current and predicted energy consumption/sustainability trends on specific assets of the factory are collected and visualized in a Virtual, eXtended reality model of the factory to enhance the situational energy awareness of the factory personnel.
| Aegis IT Research GmbH | 535 675 € |
| Altform Srl | 236 250 € |
| Asas Aluminyum Sanayi VE Ticaret Anonim Sirketi | 333 375 € |
| Athina-Erevnitiko Kentro Kainotomias Stis Technologies TIS Pliroforias, TON Epikoinonion Kai TIS Gnosis | 497 500 € |
| AVL List GmbH | 430 885 € |
| Centro Ricerche Fiat Scpa | 1 014 750 € |
| Depuy Ireland ULC | 361 200 € |
| FH OO Forschungs & Entwicklungs GmbH | 352 500 € |
| FH OO Studienbetriebs GmbH | 0,00 € |
| Infineon Technologies AG | 484 890 € |
| Institut Superieur de Mecanique de Paris | 352 500 € |
| Intract Inovasyon Danismanlik Ltd. Sirketi | 237 563 € |
| Iotam Internet of Things Applications and Multi Layer Development Ltd. | 529 375 € |
| Lumibird Photonics Italia Srl | 55 409 € |
| Maggioli S.p.A. | 586 250 € |
| Panepistimio Patron | 452 500 € |
| Polytechneio Kritis | 751 875 € |
| Simplan AG | 434 875 € |
| Sphynx Technology Solutions AG | 590 625 € |
| Stomana Industry SA | 385 000 € |
| Universita Degli Studi Di Napoli Federico II | 353 875 € |
| University of Cyprus | 280 625 € |
| Yiotis Anonimos Emporiki & Viomixaniki Etaireia | 276 500 € |
https://cordis.europa.eu/project/id/958478
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.