Petrol-Chemical Pilot: Hybrid Circular Twins for Process Industry

Summary

This pilot focuses on reducing the CO2 emissions and energy consumption that derive from the production of Ethylene Oxide and Ethylene Glycol by applying artificial intelligence and machine learning algorithms to enable the optimum use of data in the production facilities.

More information & hyperlinks
Web resources: https://www.circular-twain-project.eu/use-cases - Website Use Cases page
Structured mapping
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Demonstrator (project outcome type)
Industrial pilot or use case
MiE KPI section - Outcomes
Demonstrator showcasing an increased uptake of green manufacturing
Comment:

This pilot focuses on reducing the CO2 emissions and energy consumption that derive from the production of Ethylene Oxide and Ethylene Glycol

Demonstrator showcasing artificial intelligence (AI) and data analytics tools’ uptake
C MANUFACTURING
C20 Manufacture of chemicals and chemical products
Comment:

This pilot focuses on reducing the CO2 emissions and energy consumption that derive from the production of Ethylene Oxide and Ethylene Glycol