scholarly journals Design and simulation of high purity biodiesel reactive distillation process

2019 ◽  
Vol 21 (3) ◽  
pp. 1-7 ◽  
Author(s):  
Syed Sadiq Ali ◽  
Mohammad Asif ◽  
Avijit Basu
Keyword(s):  
High Purity ◽  
Fossil Fuels ◽  
Distillation Column ◽  
Reactive Distillation ◽  
Aspen Plus ◽  
Esterification Reaction ◽  
Distillation Process ◽  
Water Composition ◽  
Product Stream ◽  
Process Simulator

Abstract Biodiesel is a promising energy substitute of fossil fuels since it is produced from renewable and biodegradable sources. In the present work, reactive distillation (RD) process is designed and simulated using Aspen Plus process simulator to produce biodiesel of high purity through esterification reaction. The simultaneous reaction and separation in same unit enhances the biodiesel yield and composition in RD process. Two flowsheets are proposed in present work. In the first flowsheet, the unreacted methanol is recycled back to reactive distillation column. Biodiesel with 99.5 mol% purity is obtained in product stream while the byproduct stream comprises 95.2 mol% water, which has to be treated further. In the second flowsheet, a part of methanol recycle is split and purged. In this case, the biodiesel composition in product stream is 99.7 mol% whereas water composition is 99.9 mol% in byproduct stream, which can be reused for other process without treatment.

scholarly journals Multiplicity Analysis in Reactive Distillation Column Using ASPEN PLUS

2006 ◽  
Vol 14 (3) ◽  
pp. 301-308 ◽  
Author(s):  
Bolun YANG ◽  
Jiang WU ◽  
Guosheng ZHAO ◽  
Huajun WANG ◽  
Shiqing LU
Keyword(s):  
Distillation Column ◽  
Reactive Distillation ◽  
Aspen Plus

scholarly journals Experimental studies on reactive distillation of propionic acid using n-butanol as entrained

2018 ◽  
Vol 7 (3.29) ◽  
pp. 46
Author(s):  
Raju. Kalakuntala ◽  
R Navya ◽  
T Sisira ◽  
V V. Basava Rao ◽  
Srinath. Surnani
Keyword(s):  
Propionic Acid ◽  
Chemical Engineering ◽  
Reactive Distillation ◽  
Experimental Studies ◽  
Raw Material ◽  
Esterification Reaction ◽  
Distillation Process ◽  
Batch Distillation ◽  
Initial Concentration ◽  
Weight Percentage

Reactive distillation is a cost effective chemical engineering process intensification method which involves the reaction and separation simultaneously in a single unit. In the present work the system selected was Propionic acid and n-butanol which undergoes esterification reaction to form butyl propionate. Propionic acid is an important raw material from a biodegradable polymer. The experiments were done in both conventional batch distillation and reactive distillation. In conventional batch distillation no catalyst were used were as in reactive distillation amberlite catalyst used with various weight percentage. several experiments performed by varying the initial concentration(i.e. 0.1,0.2,0.4,0.6,0.8,0.99) of Propionic acid, mole ratios of Propionic acid & n-butanol(that is 1:1 ,1:1.5 ,1:2 And amberlite catalyst weight percent (i.e. 1,2 and 3).the conventional batch distillation and reactive distillation were compared. it is found that maximum conversion obtained in conventional distillation process is 81% and in reactive distillation is 95.1% at the optimum conditions are at initial concentration 0.6 ,mole ratio 1:2 And amberlite catalyst weight percentage 3 .And the recovery of water is more in reactive distillation as compared with the conventional batch distillation .So reactive distillation process is better than conventional distillation.  

scholarly journals Multi-Aspect Comparison of Ethyl Acetate Production Pathways: Reactive Distillation Process Integration and Intensification via Mechanical and Chemical Approach

Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1618
Author(s):  
Branislav Šulgan ◽  
Juraj Labovský ◽  
Zuzana Labovská
Keyword(s):  
Ethyl Acetate ◽  
Case Studies ◽  
Chemical Reaction ◽  
Distillation Column ◽  
Reactive Distillation ◽  
Process Integration ◽  
Distillation Process ◽  
Acetate Production ◽  
Conventional Process ◽  
Set Up

This paper provides a multi-aspect comparison of selected methods of ethyl acetate production and shows the possibility of further reactive distillation process integration and sophisticated intensification including process stream regeneration. The production pathways were selected with respect to their practical applicability and sufficient experimental and feasibility studies already published. A total of four case studies were designed and compared: conventional process set-up (ethyl acetate is produced in a chemical reactor) is designed as a base case study; reactive distillation with a separation unit is derived from the conventional process set-up. The mechanical and chemical approach to reactive distillation process intensification and integration were assumed: reactive distillation column with a stripper and reactive distillation column with an auxiliary chemical reaction (ethylene oxide hydration). Process models were compiled in the Aspen Plus software. Complex process flowsheets of selected case studies including separation and regeneration were designed and optimized. Three different points of view were applied to evaluate the selected process benefits and drawbacks. Process energy, economy, and safety were assessed. As a result, a reactive distillation column with an auxiliary chemical reaction has been proven to be the most suitable pathway for ethyl acetate production assuming all three evaluated aspects.

Steady-State Modelling and Simulation of a Reactive Distillation Process for n-Butyl Acetate Production Using CHEMCAD

2017 ◽  
Vol 29 ◽  
pp. 70-80 ◽  
Author(s):  
Abdulwahab Giwa ◽  
Saidat Olanipekun Giwa
Keyword(s):  
Acetic Acid ◽  
Steady State ◽  
Mole Fraction ◽  
Butyl Acetate ◽  
Reactive Distillation ◽  
Esterification Reaction ◽  
Reflux Ratio ◽  
Distillation Process ◽  
Condenser Section ◽  
Steady State Simulation

This work has been carried out to demonstrate the application of a process simulator known as CHEMCAD to the modelling and the simulation of a reactive distillation process used for the production of n-butyl acetate, with water as the by-product, from the esterification reaction between acetic acid and n-butanol. The esterification reaction, which is generally an equilibrium type, was modelled as two kinetic reaction types in the reaction section of the column used, which had 17 stages with the middle section (stages 6 – 12) being the reaction section. A reflux ratio of 3 and reboiler duty of 78 kJ/min as well as 30 mL/min of each of the reactants with 99% molar purity were used for the simulation of the column. The results obtained revealed that the developed model was a valid one because there was a very good agreement between the results and the theoretical knowledge of a distillation column based on the fact that the desired (which was the heavy) product (n-butyl acetate) was found to have the highest mole fraction in the bottom section of the column while the by-product of the process (water) was discovered to have a mole fraction higher than that of n-butyl acetate in the top (condenser) section of the column. Therefore, CHEMCAD has been applied to the steady-state simulation of the reactive distillation process used for the production of n-butyl acetate from the esterification reaction of acetic acid and n-butanol successfully.

Recurrent Neural Network based Soft Sensor for Monitoring and Controlling a Reactive Distillation Column

2017 ◽  
Vol 13 (3) ◽  
Author(s):  
Gaurav Kataria ◽  
Kailash Singh
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Distillation Column ◽  
Butyl Acetate ◽  
Closed Loop ◽  
Reactive Distillation ◽  
Dynamic Network ◽  
Open Loop ◽  
Soft Sensor ◽  
Esterification Reaction

Abstract For the real time monitoring of a Reactive Distillation Column (RDC), a Recurrent Neural Network (RNN) based soft sensor has been proposed to estimate the bottoms product composition of the RDC for the synthesis of n-Butyl Acetate using esterification reaction. This soft sensor acts as a measuring element in a closed loop involving a PI controller for the direct control of the RDC’s product concentration. The RNN acts as a dynamic network, which works on the sequential input data and output data with a recurrent connection. While using the RNN based soft sensor in the open loop, it has been observed that the sensor estimated the composition of butyl acetate in the bottoms with such an accuracy that it can be used for the control purpose. Closed loop results demonstrated that the system has been showing precise controlled results and soft sensor is showing small prediction Mean Square Error (MSE) when disturbances in feed flow rate and set point changes are introduced.

A robust PI control configuration for a high-purity ethylene glycol reactive distillation column

2000 ◽  
Vol 55 (21) ◽  
pp. 4925-4937 ◽  
Author(s):  
Rosendo Monroy-Loperena ◽  
Eduardo Perez-Cisneros ◽  
Jose Alvarez-Ramirez
Keyword(s):  
Ethylene Glycol ◽  
High Purity ◽  
Distillation Column ◽  
Reactive Distillation ◽  
Pi Control ◽  
Control Configuration

Dynamic Simulation of a Reactive Distillation Process for n-Butyl Acetate Production Using CHEMCAD

2017 ◽  
Vol 30 ◽  
pp. 154-166 ◽  
Author(s):  
Abdulwahab Giwa ◽  
Saidat Olanipekun Giwa
Keyword(s):  
Acetic Acid ◽  
Steady State ◽  
Dynamic Model ◽  
Dynamic Simulation ◽  
Butyl Acetate ◽  
Reactive Distillation ◽  
Esterification Reaction ◽  
Reflux Ratio ◽  
Distillation Process ◽  
Input Variables

The dynamic simulation of a reactive distillation process developed with the aid of CHEMCAD for the production of n-butyl acetate has been carried out in this research work. Originally, the by-product of the process was water. The developed model of the system was first simulated for steady state using a reflux ratio of 3 and a reboiler duty of 1.4 kW in order to have initial values for the mole fractions of the components involved. The model was converted to a dynamic type by activating the “Dynamics” in the “Convergence” tab of the “Run” menu of CHEMCAD. The dynamic model of the system was run using different (positive and negative) step changes applied to the input variables, which were reflux ratio and reboiler duty, of the process. The results obtained from the steady-state simulation showed that only n-butyl acetate and unconverted acetic acid were existing in the reboiler section of the column initially. The dynamic simulation of the process showed that the system was a stable one because it could get settled after some running time of its dynamic model for all the step changes in the two input variables considered. It was also discovered from the simulations carried out that the dynamic responses of the system to negative step changes in reflux ratio were smoother than those obtained when positive step changes were applied to the same input variable. Moreover, the applications of negative step changes to the reboiler duty resulted in decreases in the mole fractions of n-butyl acetate present in the bottom section of the column while the applications of positive changes to the same reboiler duty gave rise to increases in the mole fraction values of the desired product that was collected through the reboiler section of the column. It was discovered from the results obtained that the higher the reboiler duty of the system that was applied in the production of n-butyl acetate from the esterification reaction involving acetic acid and n-butanol, the faster the system was approaching its dynamic steady state.

Control of a high-purity ethylene glycol reactive distillation column with insights of process dynamics

AIChE Journal ◽  
2009 ◽  
Vol 55 (8) ◽  
pp. 2106-2121 ◽  
Author(s):  
Kejin Huang ◽  
Fanghong Zhu ◽  
Wenming Ding ◽  
San-Jang Wang
Keyword(s):  
Ethylene Glycol ◽  
High Purity ◽  
Distillation Column ◽  
Reactive Distillation ◽  
Process Dynamics

Dynamic Matrix Control of a Reactive Distillation Process for Biodiesel Production

2019 ◽  
Vol 45 ◽  
pp. 132-147 ◽  
Author(s):  
Abdulwahab Giwa ◽  
John Olusoji Owolabi ◽  
Saidat Olanipekun Giwa
Keyword(s):  
Reactive Distillation ◽  
Control Method ◽  
Biodiesel Production ◽  
Distillation Process ◽  
Dynamic Matrix Control ◽  
Dynamic Matrix ◽  
Limit Value ◽  
Advanced Control ◽  
Matrix Control ◽  
Process Simulator

This study has been carried out to demonstrate the control of a reactive distillation process in which the production of biodiesel was taken as the case study using an advanced control method, which is known as dynamic matrix control. The control was accomplished by employing the transfer function model of the reactive distillation process developed, using the System Identification Toolbox of MATLAB, from the dynamic data generated when the prototype plant of the process was simulated with the aid of ChemCAD process simulator. The results obtained from the dynamic matrix control were compared with those of a proportional-integral-derivative (PID) control system tuned with Ziegler-Nichols and Cohen-Coon methods, and it was discovered that the dynamic matrix control was able to perform best among the three (dynamic matrix control method, PID tuned with Ziegler-Nichols method and PID tuned with Cohen-Coon method) because it (the dynamic matrix control) was able to make the biodiesel mole fraction response not to exceed the maximum limit value of 1 in addition to having the lowest sum of absolute errors (SAE) and sum of squared errors (SSE) from the control systems that were simulated.

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