Monica Tirapelle

Hexxcell · company speakers →

This work demonstrates how Hybrid-AI Digital Twins can improve refinery decision-making by integrating technical, economic, and policy data to optimise preheat train cleaning strategies. Through regional comparisons, it shows how local factors like fuel cost, CO₂ policy, and profit margins influence maintenance planning, enabling more informed, cost-effective, and sustainable operations.

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Speaking history

Symposium of Malaysian Chemical Engineers

7 September 2026 Bandar Sunway, Malaysia “Evaluating the Impact of Local Policy and Techno-Economic Drivers on Decision Making Using Digital Twins”

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