Optimal design of C4 olefin preparation based on linear programming model

Hongda Liu; Qianhui Su; Qiqi Li

doi:10.1117/12.3006701

24 October 2023 Optimal design of C4 olefin preparation based on linear programming model

Hongda Liu, Qianhui Su, Qiqi Li

Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 128042S (2023) https://doi.org/10.1117/12.3006701
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China

Abstract

This paper mainly discusses the influence among various kinds of catalyst combinations and temperature on the rate of ethanol conversion and the selectivity shown in C4 olefin, the catalyst combination and temperature optimization when the highest yield of C4 olefin, and the experimental design.Through the principle analysis of chemical equation equivalence, the binary secondary interpolation fitting model is established, the coefficient of function is solved, and the fit diagram is protracted,According to the function and the control variable method, the influence among different catalysts and temperature on the rate of ethanol conversion and the selectivity of C4 olefin is taken into full discussion, and it finally comes to the conclusion that the conversion rate and the selectivity is determined by CO load and loading ratio of CO/SiO2 and HAP.The established model is tested through correlation analysis, error analysis and advantages and disadvantages analysis, and the model can be extended to various chemical product preparation optimization schemes, which can improve industrial productivity and reduce the loss of raw materials to avoid waste.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongda Liu, Qianhui Su, and Qiqi Li "Optimal design of C4 olefin preparation based on linear programming model", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 128042S (24 October 2023); https://doi.org/10.1117/12.3006701

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