Preheat Train HEX Cleaning: Finding the €500k Sweet Spot
Find the €500k HEX cleaning sweet spot using a real preheat train dataset, U Coefficient tracking, Event Analytics, and scatter plots.
Preheat Train HEX Cleaning: Finding the €500k Sweet Spot
About the webinar
In this webinar we’ll use a real Preheat Train dataset to show how to identify the optimal HEX cleaning point before fouling and energy losses create a €500k impact.
We’ll cover:
- Calculating the U Coefficient with Tag Builder and tracking performance over time
- Using Event Analytics to detect cleaning cycles, compare events, calculate end U, end flow and crude outlet temperature, and visualize heat transfer performance
- Finding the cleaning sweet spot through scatter plots analysis for economic evaluation
- Creating UCL & LCL limits with 5% tolerance and automated monitors
- Building gauges and dashboards to monitor and sustain performance improvements
Register now to join or receive the recording after the webinar!
Who should attend
Process Engineers, Production Managers, Maintenance Engineers, Operations Managers, Data Scientists and Analysts, Digital Transformation Leaders, Plant Managers, Sustainability Managers
Can't attend the live session?
No problem! Register anyway, and we'll send you the recorded version after the event. This way, you can watch it at your convenience and not miss out on any valuable insights.
Presenter(s)
Pablo Sanchez
Industry Principal
TrendMiner
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Register now for the webinar
Preheat Train HEX Cleaning: Finding the €500k Sweet Spot
Find the €500k HEX cleaning sweet spot using a real preheat train dataset, U Coefficient tracking, Event Analytics, and scatter plots.
