SIMULATION AND CONTROL OF A PRESSURE SWING ADSORPTION PROCESS TO DEHYDRATE ETHANOL

  • Jesse Yoe Rumbo Morales Universidad Tecnológica Emiliano Zapata
Keywords: Rigorous Model PSA, Optimal MPC, Identified Model Hammerstein-Wiener, Pressure swing adsorption.

Abstract

Adsorption with molecular sieves using pressure oscillation to adsorb the water molecule is one of the new processes that exist to produce dehydrated ethanol
complying with international purity standards (99\% ethanol). In this study, the pressure swing adsorption process (PSA) was simulated and controlled using
the Aspen Adsorption and Simulink simulator. To define the primary control loop, a sensitivity analysis was carried out that allowed to know the effects of
some variables (inputs) on the purity of the obtained ethanol (output), this helped to identify a reduced model (Hammerstein-Wiener) using the input and
output data of the rigorous PSA model. Subsequently the optimal predictive controller (Optimal MPC) design was made using the reduced model.
To validate the robustness and stability of the controller, it was applied to the rigorous PSA model, testing it in simulations before changes (perturbations) of
temperature, purge times and changes in the feed composition. The most relevant results of this work give rise to the fact that when applying a controller
and defining a variable continues along all the steps of the process, the control quickly manages to maintain the desired purity in a smaller number of cycles
before different changes.
Published
2018-07-05
How to Cite
Rumbo Morales, J. (2018). SIMULATION AND CONTROL OF A PRESSURE SWING ADSORPTION PROCESS TO DEHYDRATE ETHANOL. Revista Mexicana De Ingeniería Química, 17(3), 1051-1081. Retrieved from http://rmiq.org/ojs311/index.php/rmiq/article/view/123
Section
Simulation and control