Project description
A smart way to keep factories humming sustainably
Energy efficiency in industry has increased in the EU over the past 20 years. While there have been improvements in all industrial branches, numerous in-factory changes can help further increase energy sustainability. The aim of the EU-funded EnerMan project is to reduce the energy consumption of the various components of manufacturing systems, such as machine tools. Specifically, it will create an energy sustainability management framework to collect data from the factory 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 assess if they match predefined energy consumption sustainability objectives.
Objective
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.
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Funding Scheme
IA - Innovation actionCoordinator
10043 Orbassano
Italy
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Participants (24)
P43 Ringaskiddy
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4600 Wels
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
4600 Wels
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80138 Napoli
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85579 Neubiberg
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34810 Istanbul
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93407 Saint- Ouen
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47822 Santarcangelo Di Romagna
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8020 Graz
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6300 ZUG
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731 00 Chania
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63452 Hanau
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
12131 Peristeri Athina
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3101 Limassol
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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10024 Moncalieri
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2304 Pernik
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151 25 Maroussi
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38106 Braunschweig
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1678 Nicosia
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10128 Torino To
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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265 04 Rio Patras
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34746 Istanbul
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10148 TORINO
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