
Hexxcell Studio™ is a digital platform for advanced monitoring, predictive analytics and prescriptive maintenance of industrial thermal systems. Hexxcell's industry proven Hybrid Digital Twins integrate AI with rigorous physics-based models and deep domain knowledge to accurately monitor heat exchangers to improve performance, optimise maintenance and predict fouling. Platform Pillars: Advanced analytics and predictive monitoring: - Proprietary AI-based filtering and advanced data reconciliation - Fouling Propensity Analysis™ - Fouling Predictions - Advanced Performance Monitoring Dashboard Predictive and prescriptive maintenance - Generation and visualisation of optimal cleaning scheduling with KPIs (e.g. Energy, Economic): - Which heat exchangers to clean and when to clean them - How to clean (mechanically, chemically, thermally) - Clean today: best exchanger to clean today - Clean on opportunity: best exchanger to clean during a shutdown - Simulation of cleaning actions - Optimal operation of flow split with cleaning actions Equipment design: - Hexxcell Dynamic Retrofit Test™: data-driven approach to test performance of a proposed retrofit design. Production planning (Refining): - Assess crude blending decisions in advance to prevent furnace and hydraulic constraints. - Provide feedback for feedstock purchasing and production planning based on KPIs: - Processing cost - CO2 emissions - Operational constraints - Determine optimal blending strategy