CO2 Removal Processes Using Aspen Plus

Course Id:  EAP2510   |   Duration:  3.00 day(s)   |   CEUs Awarded:  2.1   |   Level:  Intermediate

Course Objective

Determine and properly setup the necessary component physical properties and reactions needed to model CO2 removal processes using Aspen Plus. Learn the steps involved in modeling CO2 removal processes. Model absorbers and regenerators systems using chemical and physical solvents. Setup, run and interpret results for a rate-based model of a CO2 Absorber. Use detailed rate-based modeling to understand and improve separation performance.

Course Overview

  • Model CO2 removal processes using physical and chemical solvents
  • Determine property parameters for new CO2 removal chemical solvents using Data Regression and Property Estimation
  • Properly setup the properties for an electrolyte simulation of CO2 removal
  • Discuss using RadFrac for simulation of distillation columns for CO2 removal and solvent regeneration
  • Use Aspen Plus unit operation models to develop CO2 removal process simulations
  • Utilize Aspen Rate-Based Distillation to improve accuracy and precision for CO2  removal columns
  • Create accurate simulations of reactive and non-reactive CO2 column separations which are rate limited


  • Learn how to determine and properly setup the necessary component physical properties and reactions needed to model CO2 removal processes
  • Learn the steps involved in modeling CO2 removal processes.
  • Learn how to setup, run, and interpret results in rate-based models of CO2 absorbers
  • Use detailed rate-based modeling to understand and improve separation performance over conventional equilibrium models


Engineers who need to simulate accurate models of CO2 removal processes.


  • Course notes containing lecture materials, examples, and workshop files
  • Lecture topics are reinforced with workshop simulations and problems throughout the course
  • Instructor-guided demonstrations of features
  • Questions relating the course material to real-life problems are encouraged


Previously attended EAP101 Aspen Plus: Process Modeling, or have a complete working knowledge of the Aspen Plus user interface.

Subsequent Courses

  • EAP201 Physical Properties for Process Engineers
  • EAP2211 Modeling Complex Processes with Equation Oriented Methods
  • EAP301 Aspen Plus: Real Time Modeling and Optimization
  • EAP2411 Improved Process Operability and Control Through Aspen Plus Dynamic Models
  • EAP2311 Building Custom Simulation Models using Aspen Custom Modeler

Class Schedule

Class Agenda

EAP2510: CO2 Removal Processes Using Aspen Plus

CO2 Removal Applications

  • Highlight the various industrial applications of CO2 removal
Physical Solvents for CO2 Removal
  • Describe the approach for modeling CO2 removal using physical solvents
  • Workshop: Apply the PC-SAFT property method to model CO2 removal using a methanol solvent
PC-SAFT Property Regression
  • Describe how to use Data Regression to determine property parameters for the PC-SAFT property method
  • Workshop: Use the Aspen Plus Data Regression mode to calculate PC-SAFT binary data from mixture physical property data
Introduction to Electrolytes
  • Introduce Aspen Plus electrolyte system modeling capabilities
  • Review the types of components present in an electrolyte solution
  • Address special issues when modeling processes with electrolytes
Using the Electrolyte Wizard
  • Review the steps to setup the properties for an electrolyte simulation
  • Workshop: Use the Electrolyte Wizard to set up an electrolyte-based calculation for a single-stage MEA stripper
Electrolyte Chemistry
  • Understand the chemical reactions generated by the Aspen Plus Electrolyte Wizard
  • Consider the reactions generated for CO2 removal processes
True vs. Apparent Component Approach
  • Examine the consequences of the two available choices to represent electrolyte species – true and apparent
  • Examine the different property sets specific to electrolyte systems
  • Workshop: Using a single-stage MEA scrubber, utilize both true and apparent component approaches to meet a process design target
Property Estimation for New Solvents
  • Describe how to use Property Estimation to determine property parameters for a new CO2 removal chemical solvent
  • Review the necessary property parameters and reactions for the ions and electrolytes for the new chemical solvent
  • Workshop: Use Property Estimation to determine parameters for an amine component used to scrub a sour natural gas
CO2 Removal Processes Using RadFrac
  • Review how to use RadFrac to model unit operations used in CO2 removal processes
    • How to model absorbers and strippers
    • Common RadFrac options
    • Basic convergence topics
  • Workshop: Model an MEA scrubber using the RadFrac model
Distillation Columns With Electrolytes
  • Discuss and analyze RadFrac configuration settings for modeling electrolytic systems
  • Workshop: Adjust and optimize electrolyte reactions in place on an MEA absorber model
RadFrac Efficiency
  • Review and explain the different types of efficiencies available in RadFrac for CO2 removal processes
  • Workshop: Apply efficiencies to an MEA absorber column
Unit Operations For CO2 Removal Processes
  • Review the typical unit operations used in CO2 removal processes and the options for setting up these various models
  • Workshop: Build a flowsheet for a CO2 removal process using a DEPG solvent
Convergence of CO2 Removal Simulations
  • Review convergence issues and challenges common to CO2 removal simulations
  • Workshop: Close the solvent recycle stream and calculate adequate makeup flow for a CO2 removal process using DEPG solvent
CO2 Removal Using Aspen Rate-Based Distillation
  • Review differences between equilibrium and rate-based modelling in Aspen Plus
  • Recognize the capabilities of Aspen Rate-Based Distillation for CO2 removal modelling
Building the Aspen Rate-Based Distillation Model
  • Identify and explain how to enable, specify, and run Aspen Rate-Based model
  • Compare the operation of the equilibrium RadFrac model to Aspen Rate-Based model
  • Demonstrate the conversion of an Aspen Plus RadFrac (equilibrium) CO2 Absorber column to a column that uses Aspen Rate-Based Distillation
  • Workshop: Convert an equilibrium RadFrac model to the Rate-Based approach and analyze its performance using a Sensitivity Analysis
Tuning the Aspen Rate-Based Distillation Model
  • Identify and explain the rate-based distillation characteristics of the Pack/Tray Rating forms
  • Demonstrate how to use the Aspen Rate-Based Distillation tuning parameters for CO2 absorption columns
  • Workshop: Apply and study rate-based model tuning options and column sizing capabilities
Rate-Based Reactive Distillation
  • Recognize capabilities and options available for running Aspen Rate-Based Distillation with reactive processes
  • Demonstrate how to model CO2 Separation reactions using Rate-Based Distillation
  • Workshop: Build a rate-based CO2 removal column, incorporating equilibrium and kinetic reactions
Convergence and Diagnostics of Rate-Based CO2 Removal Models
  • Explain the Aspen Rate-Based Distillation calculation procedure
  • Review the various convergence settings and options associated with Rate-Based Distillation
  • Discuss typical problems encountered when running the Rate-Based Distillation model and provide troubleshooting techniques
  • Workshop: Apply acquired troubleshooting techniques to solve a rate-based MEA Regeneration column
Rate-Based Distillation in CO2 Removal Flowsheets
  • Discuss options for using Rate-Based Distillation in CO2 removal flowsheets
  • Workshop: Convert Absorber to rate based distillation in the DEPG CO2 removal flowsheet
Appendix A – The Rate-Based Modeling Approach
  • Illustrate the mathematical models of the Aspen Rate-Based Distillation non-equilibrium segment  
  • Discuss the calculations of height equivalent to a theoretical plate (HETP) and tray efficiency

Aspen Technology, Inc. awards Continuing Education Units (CEUs) for training classes conducted by our organization. One CEU is granted for every 10 hours of class participation.