scholarly journals Model Learning Predictive Control for Batch Processes: A Reactive Batch Distillation Column Case Study

2019 ◽  
Vol 58 (30) ◽  
pp. 13737-13749 ◽  
Author(s):  
Alejandro Marquez-Ruiz ◽  
Marco Loonen ◽  
M. Bahadır Saltık ◽  
Leyla Özkan
Keyword(s):  
Predictive Control ◽  
Distillation Column ◽  
Batch Processes ◽  
Batch Distillation ◽  
Model Learning ◽  
Reactive Batch Distillation

Dynamic Simulation of Reactive Batch Distillation Column for Ethyl Acetate Synthesis

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
Rahul Patel ◽  
Kailash Singh ◽  
Vishnu Pareek ◽  
Moses O. Tadé
Keyword(s):  
Ethyl Acetate ◽  
Distillation Column ◽  
Optimum Operating ◽  
Reflux Ratio ◽  
Algebraic Equations ◽  
Batch Distillation ◽  
Runge Kutta Method ◽  
Column Dynamics ◽  
Batch Time ◽  
Reactive Batch Distillation

A detailed mathematical dynamic model of reactive batch distillation column is formulated for ethyl acetate synthesis and presented in terms of differential and algebraic equations (DAEs). These DAEs are solved using fourth order Runge-Kutta method in MATLAB® to obtain the detailed column dynamics. The simulation results provide the dynamics of reboiler and distillate compositions, reboiler temperature, ethyl acetate purity in the accumulated distillate and conversion of the reactants. These results are analyzed to derive the optimum operating policy, i.e., reflux ratio and batch time.

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