image thumbnail

Aspen Plus - Matlab: Optimization of Distillation Column

version 1.1.0 (13.9 KB) by Andrés F. Abril
Multi-Objective Optimization of Aspen Plus Distillation Column using Stochastic Algorithm (NSGA II).


Updated 28 Mar 2020

View License

Many optimization problems in chemical engineering involve integer variables and trade-off objective. One approach to address this type of problem is using algorithms that handle continuous and integer variables, for example, BARON algorithm (deterministic) or NSGA II (Stochastic).This matlab code is an example of Multi-Objective optimization of Aspen Plus distillation column using NSGA II algorithm.
Simulation of distillation column was carried out in Aspen Plus V8.8, because simulation time of each interation in version V9 or 10 was 10 times more than in version V8.8.

Optimization Problem Statement:
Objective Functions (2) : [min{CAPEX}, min{OPEX}]
Optimization Variables (3): [x1=Column Stages Number, x2=Reflux Ratio, x3: Normalized Column Feed Stage]
Constraints: Cons 1=Ethanol Mole Recovery > 99%; Cons 2=Ethanol Mole Purity > 80%

Generations: 20
Population: 20
Note: Please, refer to code "Opt_EthanolColumn.m" for better understanding of NSGA algorithm parameters.

Run the code: Put all files in the same folder and run script "Opt_EthanolColumn.m"

Simulation file "ETHANOLColumn_v8.8" (Aspen Plus V.8.8) in:

Please let me know any questions.

Andrés Abril.

Cite As

Andrés F. Abril (2021). Aspen Plus - Matlab: Optimization of Distillation Column (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2017b
Compatible with R2017b and later releases
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!