By implementing a real-time decision support system, the client improved operational efficiency, reduced CO2 emissions, and achieved significant cost savings across their refinery sites.

Deployed a scalable, templated AVEVA PI Asset Framework [AF] based energy network model with the required logic and calculations, enabling real-time updates, visualization and actionable insights across the steam network.​

Developed templated steam network visualization dashboards using AVEVA PI Vision to provide an instant network overview and optimization advise. ​