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EU funding (€9,533,996): ENERgy-efficient manufacturing system MANagement Hor9 Dec 2020 EU Research and Innovation programme "Horizon"
Overview
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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.
Funded Companies:
| Company name | Funding amount |
| AEGIS IT RESEARCH GmbH | €535,675 |
| 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 |
| Prima Additive Srl | €236,250 |
| 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 |
Source: https://cordis.europa.eu/project/id/958478
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