Estimating Simulation Parameters for Batch Columns from Experimental Data

This whitepaper, Estimating Simulation Parameters for Batch Columns from Experimental Data, outlines a practical method for deriving key model parameters (such as heat losses, hold-up volumes, and stage efficiencies) directly from plant data. Using a lab-scale ethanol–water batch distillation column, the study demonstrates how data reconciliation in CHEMCAD can align simulations closely with real operating behavior. The approach helps engineers improve the accuracy of process models, streamline troubleshooting, and enhance batch column performance.

Key Points

• Presents a step-by-step method for estimating unmeasured simulation parameters from experimental data
• Demonstrates parameter fitting using CHEMCAD’s data reconciliation tools
• Quantifies heat losses and stage efficiencies to refine batch distillation simulations
• Validates the model with experimental temperature and composition profiles
• Offers a scalable approach applicable to both lab and industrial batch columns