E2COMATION | Life-cycle optimization of industrial energy efficiency by a distributed control and decision-making automation platform

Summary

Improving industrial energy efficiency at European Manufacturing level requires the integration of energy data with advanced optimization techniques to guide a company decision making.
E2COMATION intends to address the optimization of energy usage, at multiple hierarchical layers of a manufacturing process as well as considering the whole life-cycle perspective across the value chain.

To this purpose, it aims at providing a cross-sectorial methodological framework and a modular technological platform to monitor, predict, evaluate impact of the behavior of a factory across energy and the life-cycle assessment dimensions, in order to adapt and optimize dynamically not only its real-time behavior over different time-scales, but also its strategic and sustainable positioning with respect to the complex supply and value chain it belongs to.

Its major objectives are:

  • Holistic analysis of energy-related data streams for production performance forecasting;
  • Life-cycle conceptual paradigm applied to digital twinning of factory assets;
  • Factory-level integrated multi-objective optimization architecture;
  • Modular and scalable automation platform for distributed monitoring and supervision;
  • Comprehensive simulation environment enhanced with energy and environmental performance;
  • Energy Aware Planning and Scheduling tool (EAP&S);
  • Life Cycle Assessment and Costing tool (LCAC) integrated in a company Decision Support System;
  • Sustainable Computer Aided Process Planning (s-CAPP);
  • LCA-driven supply chain management (SCM) and business ecosystem.

For E2COMATION to be successful, it is fundamental that the effectiveness of its methodological approach and technological framework is proved in complex industrial scenarios, involving several factories of different sectors. This will be achieved by implementing the project platform in 2 completely different value chains, the food and drink one and the woodworking one, with 5 concurrent industrial use-cases.

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E2COMATION_Pitch_2020-2.pdf PDF
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/958410
https://e2comation.eu
Start date: 01-11-2020
End date: 31-10-2024
Total budget - Public funding: 10 560 000,00 Euro - 8 105 775,00 Euro
Twitter: @e2comation
Cordis data

Original description

Improving industrial energy efficiency at European Manufacturing level requires the integration of energy data with advanced optimization techniques to guide a company decision making.
E2COMATION intends to address the optimization of energy usage, at multiple hierarchical layers of a manufacturing process as well as considering the whole life-cycle perspective across the value chain. To this purpose, it aims at providing a cross-sectorial methodological framework and a modular technological platform to monitor, predict, evaluate impact of the behavior of a factory across energy and the life-cycle assessment dimensions, in order to adapt and optimize dynamically not only its real-time behavior over different time-scales, but also its strategic and sustainable positioning with respect to the complex supply and value chain it belongs to.
Its major objectives are:
- Holistic analysis of energy-related data streams for production performance forecasting;
- Life-cycle conceptual paradigm applied to digital twinning of factory assets;
- Factory-level integrated multi-objective optimization architecture;
- Modular and scalable automation platform for distributed monitoring and supervision;
- Comprehensive simulation environment enhanced with energy and environmental performance;
- Energy Aware Planning and Scheduling tool (EAP&S);
- Life Cycle Assessment and Costing tool (LCAC) integrated in a company Decision Support System;
- Sustainable Computer Aided Process Planning (s-CAPP);
- LCA-driven supply chain management (SCM) and business ecosystem.
For E2COMATION to be successful, it is fundamental that the effectiveness of its methodological approach and technological framework is proved in complex industrial scenarios, involving several factories of different sectors. This will be achieved by implementing the project platform in 2 completely different value chains, the food and drink one and the woodworking one, with 5 concurrent industrial use-cases.

Status

SIGNED

Call topic

DT-FOF-09-2020

Update Date

27-10-2022
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Factories of the Future Partnership - Made in Europe Partnership

H2020 - Factories of the Future
H2020-FoF-2020
DT-FOF-09-2020 Energy-efficient manufacturing system management (IA)
Innovation Action (IA)
Information and communication technologies
Data spaces
Digital manufacturing platforms - data platforms
MiE_25-27_RP07: Solutions for energy-efficiency for realising net-zero discrete manufacturing processes and value chains
MiE_25-27_RP07_PastCallTopics(main)
DT-FOF-09-2020 Energy-efficient manufacturing system management (IA)
MiE_25-27_RP08: Quick response service deployment for maintaining optimal manufacturing operations using trusted AI and digital twins
MiE_25-27_RP09: Life-cycle management of manufacturing solutions and associated services for flexible, productive and sustainable manufacturing industry
MiE_25-27_RP10: Data spaces and cloud/edge solutions for responsive and robust manufacturing
MiE_25-27_RP13: Augmentation of human capabilities for inclusive and socially sustainable manufacturing
MiE_25-27_RP13b: Cognitive augmentation of human capabilities for inclusive and socially sustainable manufacturing
Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.5. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing
H2020-EU.2.1.5.1. Technologies for Factories of the Future
H2020-NMBP-TR-IND-2020-singlestage
DT-FOF-09-2020 Energy-efficient manufacturing system management (IA)