Fair Comparison of Packing Performance Data from Different Reference Systems

Engineers are responsible for insuring their company makes wise decisions when purchasing distillation column internals. This task is often complicated by a lack of "apples to apples" performance data on competing products - in which there are a common reference system, similar operating conditions, and equivalent-quality peripherals.

The authors have attempted to use available performance data and published correlations for mass-transfer and capacity for random and structured packing to create a fair comparison basis across different reference systems. This presentation will share our learnings to date.