The Dynamic Simulation of The Benzene and Toluene Distillation Process

Main Article Content

Abdussalam Topandi
Khadijah Sayyidatun Nisa
Ibnu Maulana Hidayatulloh

Abstract

Benzene and toluene are products of petroleum catalytic fractionation and dehydrogenation, which are massively used for industrial purposes. The mixture of these two compounds forms an azeotropic condition that requires high energy and expensive investment. The separation process simulation is the appropriate way to address this problem. The technique of separating benzene and its derivatives from toluene is crucial if the product is to be reused for the following process. We propose a simulation of the separation of benzene and toluene using Aspen HYSYS with several assumptions (Peng-Robinson Fluid Package and Transfer Function Block) and operating conditions settings (pressure, flow rate, and vapor fraction). The simulation results were analyzed by comparing treatments without and with dynamic system settings (sudden and gradual changes in operational parameters for 30 minutes). The simulation results revealed that the stepwise dynamic system configuration might increase 10% extra moles of benzene. In addition, dynamic system settings also significantly affect the concentration of the bottom product.


 

Downloads

Download data is not yet available.

Article Details

How to Cite
Topandi, A., Nisa, K. S., & Hidayatulloh, I. M. (2023). The Dynamic Simulation of The Benzene and Toluene Distillation Process . Fluida, 16(1), 24-29. https://doi.org/10.35313/fluida.v16i1.4497
Section
Articles
Author Biographies

Abdussalam Topandi, Politeknik STMI Jakarta

 

 

Khadijah Sayyidatun Nisa, Politeknik STMI Jakarta

 

 

Ibnu Maulana Hidayatulloh, Universitas Indonesia

 

 

References

[1] G. Li et al., "Separation of toluene from benzene derivatives and extraction of toluene from water based on a flexible naphthalene diimide coordination network," Sep. Purif. Technol., vol. 256, no. July 2020, p. 117781, 2021, doi: 10.1016/j.seppur.2020.117781.
[2] E. Iraola, J. M. Nougués, L. Sedano, J. A. Feliu, and L. Batet, "Dynamic simulation tools for isotopic separation system modeling and design," Fusion Eng. Des., vol. 169, no. March, pp. 1–5, 2021, doi: 10.1016/j.fusengdes.2021.112452.
[3] A. Caspari et al., "A wave propagation approach for reduced dynamic modeling of distillation columns: Optimization and control," J. Process Control, vol. 91, pp. 12–24, 2020, doi: 10.1016/j.jprocont.2020.05.004.
[4] W. Marquardt, "Nonlinear model reduction for optimization based control of transient chemical processes," AIChE Symp. Ser., vol. 98, no. 326, pp. 12–42, 2002.
[5] Y. Ma, P. Cui, Y. Wang, Z. Zhu, Y. Wang, and J. Gao, "A review of extractive distillation from an azeotropic phenomenon for dynamic control," Chinese J. Chem. Eng., vol. 27, no. 7, pp. 1510–1522, 2019, doi: 10.1016/j.cjche.2018.08.015.
[6] A. Caspari, J. M. M. Faust, P. Schäfer, A. Mhamdi, and A. Mitsos, “Economic Nonlinear Model Predictive Control for Flexible Operation of Air Separation Units⁎,” IFAC-PapersOnLine, vol. 51, no. 20, pp. 295–300, 2018, doi: 10.1016/j.ifacol.2018.11.028.
[7] S. Liang et al., "Chemical Engineering Research and Design Insight into pressure-swing distillation from azeotropic phenomenon to dynamic control," Chem. Eng. Res. Des., vol. 117, pp. 318–335, 2016, doi: 10.1016/j.cherd.2016.10.040.
[8] S. Skogestad and M. Morari, "Understanding the Dynamic Behavior of Distillation Columns," no. 3, pp. 1848–1862, 1988.
[9] J. Lee, W. Kim, J. Choi, N. Gha, and Y. Kim, "Dynamic solar-powered multi-stage direct contact membrane distillation system : Concept design, modeling, and simulation," no. January, 2017, doi: 10.1016/j.desal.2017.04.008.
[10] B. Sun, S. Cao, D. Li, J. He, and L. Yu, "Dynamic Micro-Expression Recognition Using Knowledge Distillation," vol. 3045, no. c, 2020, doi: 10.1109/TAFFC.2020.2986962.
[11] A. M. Karam, A. S. Alsaadi, N. Ghaffour, and T. M. Laleg-kirati, "Analysis of direct contact membrane distillation based on a lumped-parameter dynamic predictive model," DES, vol. 402, pp. 50–61, 2016, doi: 10.1016/j.desal.2016.09.002.