Separation of C4 olefins and paraffins on vanadotungstates-based zeolitic octahedral metal oxides at high temperature

Hu, Pei; Yao, Shufan; Li, Denan; Zheng, Guijin; He, Dingbing; Li, Yanshuo; Ueda, Wataru; Zhang, Zhenxin

doi:10.1016/j.cej.2022.139315

“…Through the experimental method of control variables, the selection of catalyst combination and temperature in the process of ethanol preparation of C4 olefin was explored in order to improve the yield of C4 olefin and reduce the industrial production cost [3] . However, current researchers only concentrate on the traditional machine learning algorithms [4] or neural network [5]- [7] to train the training model rather than considering the mathematical model to dispose the proposed issue. Additionally, the mathematical analysis method has been proposed to analyze the influences [8]- [11] , which leaks the combination to advanced algorithms by computing the iterations.…”

Section: Introductionmentioning

confidence: 99%

Discrete optimization and optimization of ethanol preparation problem

Ouyang¹,

Xu²

2023

3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023)

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The experimental evaluation and design model of C4 olefin preparation based on high dimensional discrete space optimization was established in this paper. First, the relationship between ethanol conversion, C4 olefin selectivity and temperature was studied by fitting. Then, we took catalyst combination and temperature as independent variables, ethanol conversion and C4 olefin selectivity as dependent variables, conducted partial correlation analysis on the latter to observe their correlation degree, further used multivariate analysis of variance, and conducted inter-agent effect test. The effects of catalyst combination and temperature on ethanol conversion and C4 olefin selectivity were evaluated by the sum of type III squares. Subsequently, we used the control value of the aforementioned dependent variable to generate a high-dimensional discrete space, conducted stepwise regression of the aforementioned dependent variable and independent variable, and then tested its accuracy according to the objective function of maximizing the yield of C4 olefin. Combining with the constraints of discrete variables, the method of ergodic and genetic algorithm is used to search for the optimal value in high dimensional discrete space, and the corresponding results are obtained. Finally, as an innovative supplement, we used Pareto optimization to explore the method of producing more C4 olefin by ethanol coupling experiment under the same amount of ethanol substance as possible.

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Effective C₄ Separation by Zeolite Metal–Organic Framework Composite Membranes

Ao,

Yang,

Chen

et al. 2024

Angewandte Chemie

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Inorganic zeolites have excellent molecular sieving properties, but they are difficult to process into macroscopic structures. In this work, we use metal‐organic framework (MOF) glass as substrates to engineer the interface with inorganic zeolites, and then assemble the discrete crystalline zeolite powders into monolithic structures. The zeolites are well dispersed and stabilized within the MOF glass matrix, and the monolith has satisfactory mechanical stabilities for membrane applications. We demonstrate the effective separation performance of the membrane for 1,3‐butadiene (C4H6) from other C4 hydrocarbons, which is a crucial and challenging separation in the chemical industry. The membrane achieves a high permeance of C4H6 (693.00 ± 21.83 GPU) and a high selectivity over n‐butene, n‐butane, isobutene, and isobutane (9.72, 9.94, 10.31, and 11.24, respectively). This strategy opens up new possibilities for developing advanced membrane materials for difficult hydrocarbon separations.

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Effective C₄ Separation by Zeolite Metal–Organic Framework Composite Membranes

Ao,

Yang,

Chen

et al. 2024

Angew Chem Int Ed

6

0

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Inorganic zeolites have excellent molecular sieving properties, but they are difficult to process into macroscopic structures. In this work, we use metal‐organic framework (MOF) glass as substrates to engineer the interface with inorganic zeolites, and then assemble the discrete crystalline zeolite powders into monolithic structures. The zeolites are well dispersed and stabilized within the MOF glass matrix, and the monolith has satisfactory mechanical stabilities for membrane applications. We demonstrate the effective separation performance of the membrane for 1,3‐butadiene (C4H6) from other C4 hydrocarbons, which is a crucial and challenging separation in the chemical industry. The membrane achieves a high permeance of C4H6 (693.00 ± 21.83 GPU) and a high selectivity over n‐butene, n‐butane, isobutene, and isobutane (9.72, 9.94, 10.31, and 11.24, respectively). This strategy opens up new possibilities for developing advanced membrane materials for difficult hydrocarbon separations.

show abstract

Separation of C4 olefins and paraffins on vanadotungstates-based zeolitic octahedral metal oxides at high temperature

Cited by 3 publications

References 31 publications

Discrete optimization and optimization of ethanol preparation problem

Discrete optimization and optimization of ethanol preparation problem

Effective C₄ Separation by Zeolite Metal–Organic Framework Composite Membranes

Effective C₄ Separation by Zeolite Metal–Organic Framework Composite Membranes

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Separation of C4 olefins and paraffins on vanadotungstates-based zeolitic octahedral metal oxides at high temperature

Cited by 3 publications

References 31 publications

Discrete optimization and optimization of ethanol preparation problem

Discrete optimization and optimization of ethanol preparation problem

Effective C4 Separation by Zeolite Metal–Organic Framework Composite Membranes

Effective C4 Separation by Zeolite Metal–Organic Framework Composite Membranes

Contact Info

Product

Resources

About

Effective C₄ Separation by Zeolite Metal–Organic Framework Composite Membranes

Effective C₄ Separation by Zeolite Metal–Organic Framework Composite Membranes