Intensification of esterification reaction microbubble mediated reactive distillation

被引:3
|
作者
Istkhar, Talha [1 ]
Hafeez, Ainy [1 ]
Javed, Fahad [1 ]
Fazal, Tahir [1 ,2 ]
Ahmad, Faisal [3 ]
Hussain, Arif [3 ]
Zimmerman, William B. J. [4 ]
Rehman, Fahad [1 ,5 ]
机构
[1] COMSATS Univ, Dept Chem Engn, Microfluid Res Grp, Lahore Campus, Lahore, Pakistan
[2] Khawaja Fareed Univ Engn & Informat Technol, Dept Chem Engn, Rahim Yar Khan, Pakistan
[3] COMSATS Univ Islamabad, Proc Syst Engn Res Grp, Lahore Campus, Lahore, Pakistan
[4] Univ Sheffield, Dept Chem & Biol Engn, Sheffield, England
[5] Univ Sheffield, Sch Math & Stat, Sheffield, England
基金
英国工程与自然科学研究理事会;
关键词
Acid catalysis; Esterification; Methyl acetate; Mass transfer; Microbubbles; METHYL ACETATE; BIODIESEL PRODUCTION; ACETIC-ACID; HYDROGEN-PRODUCTION; MASS-TRANSFER; DESIGN; WATER; OPTIMIZATION; KINETICS; SIMULATION;
D O I
10.1016/j.cep.2023.109435
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The current study is based on the microbubble mediated reactive distillation by converting conventional homogeneous liquid-liquid system into a heterogeneous vapour-liquid system. Microbubbles owing to their higher surface area to volume ratio provides better mass transfer as well increasing the conversion and rate of reaction. To prove the hypothesis, production of methyl acetate was investigated because of its industrial importance. The experimental plan was designed using Response Surface Methodology (RSM). It allowed analysing the effects of operational parameters simultaneously. The kinetics investigation demonstrated that the esterification reaction occurs, indeed, on the vapour liquid interface at the skin/surface of the bubble and follows pseudo-first order kinetics. The maximum conversion of the process was found to be 91% in 20 min which is significantly higher than any previous study. Furthermore, RSM and Gated Recurrent Unit (GRU) were employed to develop models to analyse the correlations among parameters and to predict the responses. The GRU produced higher R2 = 0.9981 as compared to R2 = 0.9715 produced by RSM. The results depict that GRU model is more robust and reliable than Response Surface Methodology for parameter interaction study and response prediction.
引用
收藏
页数:13
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