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Modeling and Optimization of Simulated Moving Bed for Paraxylene Purification

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Abstract

The simulation and optimization of industrial-scale simulated moving bed for para-xylene purification from a mixture of C8 aromatics are presented. The separation process was modeled using true moving bed modeling strategy. The multi-objective teaching-learning-based optimization algorithm (MOTLBO) is improved by introducing alpha constrained technique, which is employed to optimize the yield of PX and consumption of desorbent. The improved MOTLBO has advantages in both convergence and distribution as compared to NSGA-II and MOTLBO. The optimized results suggest that the extract flowrate and consumption of desorbent should be increased, and simultaneously the step time and raffinate flowrate keep constant, so as to achieve a higher yield of PX.

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Funding

This work was supported by National Natural Science Foundation of China (Basic Science Center Program: 61988101), International (Regional) Cooperation and Exchange Project (1720106008) and Natural science foundation of China (61873093, 61803158).

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Authors and Affiliations

  1. Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, 200237, Shanghai, China

    M. L. Yang, R. Hu, J. Long, Z. C. Ye, Z. Li & W. M. Zhong

  2. IT Service Center, Sinopec Shanghai Petrochmeical Co. Ltd., 200540, Shanghai, China

    Y. J. Lv

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  1. M. L. Yang
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  2. R. Hu
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  3. J. Long
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  4. Y. J. Lv
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  5. Z. C. Ye
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  6. Z. Li
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  7. W. M. Zhong
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Correspondence to Z. Li.

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Yang, M.L., Hu, R., Long, J. et al. Modeling and Optimization of Simulated Moving Bed for Paraxylene Purification. Pet. Chem. 61, 214–219 (2021). https://doi.org/10.1134/S0965544121020146

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  • DOI: https://doi.org/10.1134/S0965544121020146

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