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Journal articles on the topic 'Batch reactive distillation'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Kalakuntala, Raju, R. Navya, T. Sisira, V. V. Basava Rao, and Srinath Surnani. "Experimental studies on reactive distillation of propionic acid using n-butanol as entrained." International Journal of Engineering & Technology 7, no. 3.29 (August 24, 2018): 46. http://dx.doi.org/10.14419/ijet.v7i3.29.18459.

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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.

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2

GIESSLER, SABINE, SHINJI HASEBE, and IORI HASHIMOTO. "Optimization Aspects for Reactive Batch Distillation." JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 34, no. 3 (2001): 312–18. http://dx.doi.org/10.1252/jcej.34.312.

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3

Gadewar, Sagar B., Michael F. Malone, and Michael F. Doherty. "Selectivity Targets for Batch Reactive Distillation†." Industrial & Engineering Chemistry Research 39, no. 6 (June 2000): 1565–75. http://dx.doi.org/10.1021/ie990497p.

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4

Guo, Zhe, Mudassir Ghufran, and Jae W. Lee. "Feasible products in batch reactive distillation." AIChE Journal 49, no. 12 (December 2003): 3161–72. http://dx.doi.org/10.1002/aic.690491216.

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5

Sørensen, Eva, and Sigurd Skogestad. "Control strategies for reactive batch distillation." Journal of Process Control 4, no. 4 (January 1994): 205–17. http://dx.doi.org/10.1016/0959-1524(94)80042-1.

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6

Huerta-Garrido, Maria E., Vicente Rico-Ramirez, and Salvador Hernandez-Castro. "Simplified Design of Batch Reactive Distillation Columns." Industrial & Engineering Chemistry Research 43, no. 14 (July 2004): 4000–4011. http://dx.doi.org/10.1021/ie030658w.

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7

Kao, Yu-Lung, and Jeffrey D. Ward. "Batch Reactive Distillation with Off-Cut Recycling." Industrial & Engineering Chemistry Research 54, no. 7 (February 12, 2015): 2188–200. http://dx.doi.org/10.1021/ie5042929.

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8

Maiti, Debadrita, Amiya K. Jana, and Amar Nath Samanta. "Intensified thermal integration in batch reactive distillation." Applied Energy 103 (March 2013): 290–97. http://dx.doi.org/10.1016/j.apenergy.2012.09.048.

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9

Guo, Zhe, and Jae W. Lee. "Feasible products in batch reactive extractive distillation." AIChE Journal 50, no. 7 (2004): 1484–92. http://dx.doi.org/10.1002/aic.10140.

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10

Chin, James, Jae W. Lee, and Jaehoon Choe. "Feasible products in complex batch reactive distillation." AIChE Journal 52, no. 5 (2006): 1790–805. http://dx.doi.org/10.1002/aic.10795.

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11

Lukács, T., C. Stéger, E. Rév, M. Meyer, and Z. Lelkes. "Feasibility of Batch Reactive Distillation with Equilibrium-Limited Consecutive Reactions in Rectifier, Stripper, or Middle-Vessel Column." International Journal of Chemical Engineering 2011 (2011): 1–16. http://dx.doi.org/10.1155/2011/231828.

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A general overall feasibility methodology of batch reactive distillation of multireaction systems is developed to study all the possible configurations of batch reactive distillation. The general model equations are derived for multireaction system with any number of chemical equilibrium-limited reactions and for any number of components. The present methodology is demonstrated with the detailed study of the transesterification of dimethyl carbonate in two reversible cascade reactions in batch reactive distillation process. Pure methanol is produced as distillate, and pure diethyl carbonate is produced at the bottom simultaneously in middle-vessel column; in each section, continuous feeding of ethanol is necessary. The results of feasibility study are successfully validated by rigorous simulations.

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12

Bahar, Almιla, and Canan Özgen. "State Estimation for a Reactive Batch Distillation Column." IFAC Proceedings Volumes 41, no. 2 (2008): 3304–9. http://dx.doi.org/10.3182/20080706-5-kr-1001.00561.

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13

Kao, Yu-Lung, and Jeffrey D. Ward. "Improving Batch Reactive Distillation Processes with Off-Cut." Industrial & Engineering Chemistry Research 53, no. 20 (May 6, 2014): 8528–42. http://dx.doi.org/10.1021/ie404229w.

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14

Schneider, R., C. Noeres, L. U. Kreul, and A. Górak. "Dynamic modelling and simulation of reactive batch distillation." Computers & Chemical Engineering 23 (June 1999): S423—S426. http://dx.doi.org/10.1016/s0098-1354(99)80104-5.

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15

Schneider, R., C. Noeres, L. U. Kreul, and A. Górak. "Dynamic modeling and simulation of reactive batch distillation." Computers & Chemical Engineering 25, no. 1 (January 2001): 169–76. http://dx.doi.org/10.1016/s0098-1354(00)00640-2.

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16

Kao, Yu-Lung, Georg Fieg, and Jeffrey D. Ward. "Closed Operation of Multivessel Batch Reactive Distillation Processes." Industrial & Engineering Chemistry Research 56, no. 13 (March 24, 2017): 3655–70. http://dx.doi.org/10.1021/acs.iecr.6b04756.

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17

Qi, Wei, and Michael F. Malone. "Operating Parameters and Selectivity in Batch Reactive Distillation." Industrial & Engineering Chemistry Research 49, no. 22 (November 17, 2010): 11547–56. http://dx.doi.org/10.1021/ie101417m.

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18

Monroy-Loperena, Rosendo, and Jose Alvarez-Ramirez. "Output-Feedback Control of Reactive Batch Distillation Columns." Industrial & Engineering Chemistry Research 39, no. 2 (February 2000): 378–86. http://dx.doi.org/10.1021/ie990382l.

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19

Kumar, Rakesh, Sanjay M. Mahajani, Hemant Nanavati, and Santosh B. Noronha. "Recovery of lactic acid by batch reactive distillation." Journal of Chemical Technology & Biotechnology 81, no. 7 (2006): 1141–50. http://dx.doi.org/10.1002/jctb.1444.

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20

Lupachev, E. V., A. V. Polkovnichenko, S. Ya Kvashnin, V. A. Lotkhov, and N. N. Kulov. "Batch Reactive Distillation in Bromodifluoroacetic Acid Synthesis Technology." Theoretical Foundations of Chemical Engineering 53, no. 1 (January 2019): 1–12. http://dx.doi.org/10.1134/s004057951901010x.

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21

Marquez-Ruiz, Alejandro, Carlos S. Méndez-Blanco, and Leyla Özkan. "Modeling of reactive batch distillation processes for control." Computers & Chemical Engineering 121 (February 2019): 86–98. http://dx.doi.org/10.1016/j.compchemeng.2018.10.010.

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22

Fernholz, Gregor, Sebastian Engell, Lars-Ulrich Kreul, and Andrzej Gorak. "Optimal operation of a semi-batch reactive distillation column." Computers & Chemical Engineering 24, no. 2-7 (July 2000): 1569–75. http://dx.doi.org/10.1016/s0098-1354(00)00553-6.

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23

Xu, Zhen, and Milorad P. Duduković. "Modeling and simulation of semi-batch photo reactive distillation." Chemical Engineering Science 54, no. 10 (May 1999): 1397–403. http://dx.doi.org/10.1016/s0009-2509(99)00073-1.

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24

Chin, James, and Jae W. Lee. "Estimation of Still Trajectory for Batch Reactive Distillation Systems." Industrial & Engineering Chemistry Research 47, no. 11 (June 2008): 3930–36. http://dx.doi.org/10.1021/ie0713947.

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25

Stipsitz, Peter, Michael Mandl, and Michael Harasek. "Ethyl lactate production by reactive distillation – optimization of reaction kinetics and energy efficiency." Open Research Europe 1 (September 23, 2021): 82. http://dx.doi.org/10.12688/openreseurope.13744.2.

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Background: Ethyl lactate is an environmentally benign solvent, which could substitute petrol-based volatile organic compounds (VOCs) in many applications if production costs are reduced. It is usually produced by the esterification of lactic acid with ethanol – two important chemical building blocks of biorefineries that are available at industrial scale. Reactive distillation is a promising alternative production process, which utilises process intensification to increase energy efficiency and space-time yield by enhancing the reaction kinetics. Methods: In this work, process intensification of ethyl lactate production by means of distillation was analysed with special focus on the efficient separation of water. Different setups were evaluated. The feedstock requirements were studied and the process was optimized regarding reaction kinetics in experiments on laboratory level. The preparation of anhydrous starting mixtures for ethyl lactate formation was tested in batch experiments and applied to reactive distillation. The simultaneous distillation was optimized and assessed for its energy efficiency. For this purpose, integrated reactive distillation was compared to a simple setup for distillation enhanced esterification. Results: It was found that an optimized serial setup of reactors and distillation steps can offer similar process intensification at a lower distillate rate compared to simultaneous reactive distillation and is therefore more energy efficient. Moreover, the serial setup is more flexible and straight-forward to regulate and scale-up. Conclusions: Based on the experimental results, the optimal setup and parameters of a continuous process for ethyl lactate production by distillation enhanced esterification was presented.

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26

Li, Ying, Hong Mei Qu, Ye Tian, Shuang Song, and Peng Bai. "Semi-Continuous Reactive Batch Distillation for Production of Methyl Formate." Advanced Materials Research 301-303 (July 2011): 290–97. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.290.

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Reaction kinetics of the esterification of Methyl Formate (MF) is studied in a batch reactor at different temperatures and the reliability of the estimated parameters is analyzed with Matlab using a fourth order Runge-Kutta method in the paper. Kinetic constants were experimentally examined and used to calculate the optimal operation parameters of semi-continuous reactive distillation for production of MF in order to minimize the amount of unconverted Formic Acid (FA) remained in the bottom. The results show that the optimal condition is obtained at the formic acid/methanol mole ratio of 0.5:1 and the mass fraction of formic acid at the bottom is 2% which is very close to the calculated value. Simulation work was carried out with Matlab and the results showed good agreement with the experimental data.

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27

Stipsitz, Peter, Michael Mandl, and Michael Harasek. "Ethyl lactate production by reactive distillation – optimization of reaction kinetics and energy efficiency." Open Research Europe 1 (July 20, 2021): 82. http://dx.doi.org/10.12688/openreseurope.13744.1.

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Background: Ethyl lactate is an environmentally benign solvent, which could substitute petrol-based volatile organic compounds (VOCs) in many applications if production costs are reduced. It is usually produced by the esterification of lactic acid with ethanol – two important chemical building blocks of biorefineries that are available at industrial scale. Reactive distillation is a promising alternative production process, which utilises process intensification to increase energy efficiency and space-time yield by enhancing the reaction kinetics. Methods: In this work, process intensification of ethyl lactate production by means of distillation was analysed with special focus on the efficient separation of water. The feedstock requirements were studied and the process was optimized regarding reaction kinetics in experiments on laboratory level. The preparation of anhydrous starting mixtures for ethyl lactate formation was tested in batch experiments and applied to reactive distillation. The simultaneous distillation was optimized to ensure that the by-product water was separated efficiently and the separation capacity was not limiting the reaction rate. Combined reactive distillation was compared to a serial setup of reactors and distillation steps. Results: It was found that an optimized serial setup can offer similar process intensification at a lower distillate rate compared to simultaneous reactive distillation. Conclusions: The serial setup is more flexible and straight-forward to regulate and scale-up. Based on the experimental results a continuous production process that uses process intensification to reach high ethyl lactate yield and purity was proposed.

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28

Wang, Hongxing, Xiangwei Bu, Zhixian Huang, Jinbei Yang, and Ting Qiu. "Synthesis of Methacrylic Anhydride by Batch Reactive Distillation: Reaction Kinetics and Process." Industrial & Engineering Chemistry Research 53, no. 44 (October 21, 2014): 17317–24. http://dx.doi.org/10.1021/ie501607v.

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29

Bahar, Almıla, and Canan özgen. "Experimental and Modeling Studies for a Reactive Batch Distillation Column." IFAC Proceedings Volumes 42, no. 11 (2009): 845–50. http://dx.doi.org/10.3182/20090712-4-tr-2008.00138.

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30

Brüggemann, Stefan, Jan Oldenburg, Ping Zhang, and Wolfgang Marquardt. "Robust Dynamic Simulation of Three-Phase Reactive Batch Distillation Columns." Industrial & Engineering Chemistry Research 43, no. 14 (July 2004): 3672–84. http://dx.doi.org/10.1021/ie034045v.

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31

Balasubramhanya, Lalitha S., and Francis J. Doyle III. "Nonlinear model-based control of a batch reactive distillation column." Journal of Process Control 10, no. 2-3 (April 2000): 209–18. http://dx.doi.org/10.1016/s0959-1524(99)00024-4.

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32

Balasubramhanya, Lalitha S., and Francis J. Doyle. "Nonlinear Model-Based Control of a Batch Reactive Distillation Column." IFAC Proceedings Volumes 31, no. 11 (June 1998): 125–30. http://dx.doi.org/10.1016/s1474-6670(17)44917-2.

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33

Sørensen Leversund, E., S. Macchietto, G. Stuart, and S. Skogestad. "Optimal control and on-line operation of reactive batch distillation." Computers & Chemical Engineering 18 (January 1994): S391—S395. http://dx.doi.org/10.1016/0098-1354(94)80064-2.

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34

Sørensen, E., S. Macchietto, G. Stuart, and S. Skogestad. "Optimal control and on-line operation of reactive batch distillation." Computers & Chemical Engineering 20, no. 12 (January 1996): 1491–98. http://dx.doi.org/10.1016/0098-1354(95)00234-0.

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35

Jithin Prakash, K. J., Dipesh S. Patle, and Amiya K. Jana. "Neuro-estimator based GMC control of a batch reactive distillation." ISA Transactions 50, no. 3 (July 2011): 357–63. http://dx.doi.org/10.1016/j.isatra.2011.01.010.

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36

Jana, Amiya K., and P. V. Radha Krishna Adari. "Nonlinear state estimation and control of a batch reactive distillation." Chemical Engineering Journal 150, no. 2-3 (August 1, 2009): 516–26. http://dx.doi.org/10.1016/j.cej.2009.03.015.

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37

Marquez-Ruiz, Alejandro, Marco Loonen, M. Bahadır Saltık, and Leyla Özkan. "Model Learning Predictive Control for Batch Processes: A Reactive Batch Distillation Column Case Study." Industrial & Engineering Chemistry Research 58, no. 30 (April 24, 2019): 13737–49. http://dx.doi.org/10.1021/acs.iecr.8b06474.

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38

Ali Bashah, Nur Alwani, Mohd Roslee Othman, and Norashid Aziz. "Neural Network MIMO Model for Production of Isopropyl Myristate in a Semibatch Reactive Distillation Column." Applied Mechanics and Materials 284-287 (January 2013): 403–8. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.403.

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Batch reactive distillation is an integrated unit of batch reactor and distillation. It provides benefits of having higher conversion and yield by continuous removal of side product. The aim of this paper is to develop an artificial neural network (ANN) based model for production of isopropyl myristate in an industrial scaled semibatch reactive distillation. Two cases of the MIMO model were developed. Case 1 does not consider historical data as inputs while case 2 does. The trained ANN for both cases was validated with independent validation data and the best architecture was optimized. Case 1 resulted to 8 inputs, 14 hidden nodes and 2 outputs [8-14-2] ANN while Case 2 resulted to [12-13-2] ANN. The results show that both ANN models have ability to predict the unknown validation and testing data very well. However, the [8-14-2] ANN model produce higher accuracy than [12-13-2] ANN model with MSE of 0.00094 and 0.0013, respectively.

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39

Taga (Sapunaru), Olga Valerica, Claudia Irina Koncsag, Cosmin Jinescu, and Alina Monica Mares. "Simulation and Optimization of Isopropyl Lactate Manufacturing Process." Revista de Chimie 70, no. 9 (October 15, 2019): 3335–37. http://dx.doi.org/10.37358/rc.19.9.7544.

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The new chemical processes are investigated in laboratory, usually in batch, with pure reactants, and specific laboratory methods applied for the purification of the products. Scaling-up processes means passing from batch to continuous process, using feed with impurificators, industrial equipment for separation and recirculation or purge for an economic operation with special care for safety and environment. This is why, following a study in laboratory for isopropyl lactate obtaining by transesterification in reactive distillation system, a flowsheet of the industrial process was proposed in this paper. Simulations of the transesterification process were performed. The purpose of these simulations has been to find the optimum solution from energy consumption point of view. Optimum parameters of the reactive distillation were found: the molar ratio isopropanol/methyl lactate R= 1.06, the number of theoretical stages in the distillation zone NTS=2.4 and the reflux ratio RR=2, in a process that produces 1.3 t/h IPL of 96% wt purity.

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40

Kao, Yu-Lung, and Jeffrey D. Ward. "Design and optimization of batch reactive distillation processes with off-cut." Journal of the Taiwan Institute of Chemical Engineers 45, no. 2 (March 2014): 411–20. http://dx.doi.org/10.1016/j.jtice.2013.05.018.

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41

Bahar, Almıla, and Canan Özgen. "State estimation and inferential control for a reactive batch distillation column." Engineering Applications of Artificial Intelligence 23, no. 2 (March 2010): 262–70. http://dx.doi.org/10.1016/j.engappai.2009.11.003.

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42

Venkateswarlu, Ch, and B. Jeevan Kumar. "Composition estimation of multicomponent reactive batch distillation with optimal sensor configuration." Chemical Engineering Science 61, no. 17 (September 2006): 5560–74. http://dx.doi.org/10.1016/j.ces.2006.04.023.

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43

Kathel, Prateek, and Amiya K. Jana. "Dynamic simulation and nonlinear control of a rigorous batch reactive distillation." ISA Transactions 49, no. 1 (January 2010): 130–37. http://dx.doi.org/10.1016/j.isatra.2009.09.007.

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44

Modla, G. "Reactive pressure swing batch distillation by a new double column system." Computers & Chemical Engineering 35, no. 11 (November 2011): 2401–10. http://dx.doi.org/10.1016/j.compchemeng.2011.01.002.

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45

Banerjee, Sudip, and Amiya K. Jana. "Observer-based extended generic model control of a reactive batch distillation." Chemical Engineering Science 179 (April 2018): 185–97. http://dx.doi.org/10.1016/j.ces.2018.01.020.

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46

Stéger, C., T. Lukács, E. Rév, M. Meyer, and Z. Lelkes. "A generic feasibility study of batch reactive distillation in hybrid configurations." AIChE Journal 55, no. 5 (May 2009): 1185–99. http://dx.doi.org/10.1002/aic.11731.

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47

Raditya, Cheryl, Widya Wahyuni, and Danu Ariono. "Distilasi reaktif metanol-asam asetat-metil asetat-air." Jurnal Teknik Kimia Indonesia 7, no. 2 (October 2, 2018): 804. http://dx.doi.org/10.5614/jtki.2008.7.2.7.

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In chemical industry, efficiency of the production unit becomes an important factor. Reaction and separation can be done simultaneously in reactive distillation column. This method is used in esterification of acetic acid with methanol to produce methyl acetate and water. The purpose of this research is to study the separation processes through distillation for reactive components by identifying feed composition effects on degree of separation. This research is done by varying methanol and acetic acid in feed composition in batch distillation with total reflux condition. The feed compositions used during this research is 50%/50%, 75%/25%, 33%/67% and 67%/33%-volume methanol/acetic acid. Through this research, feed composition with 67%-volume methanol/33%-volume acetic acid is the best composition for acetic acid-methanol-methyl acetate-water system in reactive distillation. Feed composition affects top and bottom temperature of the column and distillate composition. Top and bottom temperature of the column gets lower if there is lighter component in feed composition. But too many light components in feed composition will decrease separation degree in reactive distillation column because light component will be drawn to distillate. Key words: reactive distillation, esterification, methyl acetate AbstrakPenggunaan unit produksi yang efektif telah menjadi faktor yang sangat diperhatikan dalam dunia industri. Dalam industri berbasis teknik kimia, reaksi dan pemisahan dapat dilakukan bersamaan dalam satu alat, dengan distilasi reaktif. Metode ini digunakan dalam proses esterifikasi asam asetat dan metanal menghasilkan metil asetat dan air. Penelitian ini bertujuan untuk mempelajari proses pemisahan dengan cara distilasi untuk komponenkomponen yang bereaksi dengan mengidentifikasi pengaruh komposisi umpan dalam kolom distilasi. Percobaan dilakukan dengan memvariasikan komposisi umpan metanal dan asam asetat dalam sistem distilasi batch dengan kondisi refluks total. Pada percobaan menggunakan empat variasi komposisi umpan, yaitu campuran 50% /50%, 75%/25%, 33%/67% dan 67%/33%-volume metanol/asam asetat. Dari percobaan, diperoleh komposisi umpan yang paling tepat untuk sistem asam asetatmetanol-metil asetat-air dalam kolom distilasi reaktif adalah 67%/33%-volume metanol/asam asetat. Komposisi umpan mempengaruhi temperatur bagian alas dan bagian bawah kolom serta komposisi distilat. Makin banyak komponen ringan dalam umpan, makin rendah temperatur bagian atas dan bagian bawah kolom. Akan tetapi, komposisi reaktan ringan yang terlalu banyak di dalam umpan akan menurunkan derajat pemisahan produk dalam kolom distilasi reaktif karena komponen ringan akan terbawa dalam produk distilat.Kata Kunci: distilasi reaktif, esterifikasi, metil asetat

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48

Pérez-Correa, Sandra, Pablo González, and Jesús Alvarez. "On-line Optimizing Control for a Class of Batch Reactive Distillation Columns." IFAC Proceedings Volumes 41, no. 2 (2008): 3263–68. http://dx.doi.org/10.3182/20080706-5-kr-1001.00554.

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49

Mufrodi, Zahrul, Rochmadi Rochmadi, Sutijan Sutijan, and Arief Budiman. "Synthesis Acetylation of Glycerol Using Batch Reactor and Continuous Reactive Distillation Column." Engineering Journal 18, no. 2 (April 18, 2014): 29–40. http://dx.doi.org/10.4186/ej.2014.18.2.29.

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50

Aqar, Dhia Y., Nejat Rahmanian, and Iqbal M. Mujtaba. "Synthesis of Methyl Decanoate Using Different Types of Batch Reactive Distillation Systems." Industrial & Engineering Chemistry Research 56, no. 14 (April 3, 2017): 3969–82. http://dx.doi.org/10.1021/acs.iecr.6b04255.

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